Subjects -> LIBRARY AND INFORMATION SCIENCES (Total: 392 journals)
    - DIGITAL CURATION AND PRESERVATION (13 journals)
    - LIBRARY ADMINISTRATION (1 journals)
    - LIBRARY AND INFORMATION SCIENCES (378 journals)

LIBRARY AND INFORMATION SCIENCES (378 journals)                  1 2 | Last

Showing 1 - 200 of 379 Journals sorted alphabetically
027.7 Zeitschrift für Bibliothekskultur / Journal for Library Culture     Open Access   (Followers: 61)
Access     Full-text available via subscription   (Followers: 23)
Acervo : Revista do Arquivo Nacional     Open Access   (Followers: 1)
African Journal of Library, Archives and Information Science     Full-text available via subscription   (Followers: 67)
Against the Grain     Partially Free   (Followers: 127)
AIB Studi     Full-text available via subscription   (Followers: 10)
Alexandría : Revista de Ciencias de la Información     Open Access   (Followers: 11)
Alexandria : The Journal of National and International Library and Information Issues     Full-text available via subscription   (Followers: 56)
Alsic : Apprentissage des Langues et Systèmes d'Information et de Communication     Open Access   (Followers: 12)
American Archivist     Hybrid Journal   (Followers: 134)
American Libraries     Partially Free   (Followers: 195)
Anales de Documentacion     Open Access   (Followers: 14)
Anuari de l'Observatori de Biblioteques, Llibres i Lectura     Open Access   (Followers: 2)
ANZTLA EJournal     Full-text available via subscription  
Archeion Online     Open Access   (Followers: 3)
Archimag     Full-text available via subscription   (Followers: 4)
Archival Science     Hybrid Journal   (Followers: 64)
Archivaria     Open Access   (Followers: 33)
Archives     Full-text available via subscription   (Followers: 7)
Archives and Manuscripts     Hybrid Journal   (Followers: 51)
Archives and Museum Informatics     Hybrid Journal   (Followers: 97)
Ariadne Magazine     Open Access   (Followers: 154)
Art Libraries Journal     Hybrid Journal   (Followers: 10)
Aslib Journal of Information Management     Hybrid Journal   (Followers: 33)
Aslib Proceedings     Hybrid Journal   (Followers: 152)
AtoZ : novas práticas em informação e conhecimento     Open Access  
Australasian Journal of Information Systems     Open Access   (Followers: 17)
Australasian Public Libraries and Information Services     Full-text available via subscription   (Followers: 31)
Australian Academic & Research Libraries     Full-text available via subscription   (Followers: 92)
Australian Library Journal     Full-text available via subscription   (Followers: 156)
Baca : Jurnal Dokumentasi dan Informasi     Open Access   (Followers: 2)
Bangladesh Journal of Library and Information Science     Open Access   (Followers: 45)
Behavioral & Social Sciences Librarian     Hybrid Journal   (Followers: 149)
Berkala Ilmu Perpustakaan dan Informasi     Open Access  
Biblios     Open Access   (Followers: 11)
Biblioteca Escolar em Revista     Open Access  
Biblioteca Universitaria     Open Access   (Followers: 14)
Bibliotecas : Revista de la Escuela de Bibliotecología, Documentación e Información     Open Access   (Followers: 3)
Bibliotecas Universitárias : pesquisas, experiências e perspectivas     Open Access   (Followers: 1)
Bibliotecas. Anales de Investigacion     Open Access   (Followers: 1)
Biblioteka     Open Access   (Followers: 2)
Biblioteka i Edukacja     Open Access   (Followers: 5)
Bibliotheca Orientalis     Full-text available via subscription   (Followers: 14)
BIBLIOTIKA : Jurnal Kajian Perpustakaan dan Informasi     Open Access  
BIBLOS - Revista do Departamento de Biblioteconomia e História     Open Access   (Followers: 7)
BiD : textos universitaris de biblioteconomia i documentació     Open Access   (Followers: 10)
Bilgi Dünyası     Open Access   (Followers: 5)
Biodiversity Information Science and Standards     Open Access   (Followers: 2)
Bioinformatics     Hybrid Journal   (Followers: 226)
Biuletyn EBIB     Open Access  
Boletín Cultural y Bibliográfico     Open Access   (Followers: 2)
Book History     Full-text available via subscription   (Followers: 120)
Bridgewater Review     Open Access   (Followers: 4)
Bulletin des bibliotheques de France     Full-text available via subscription   (Followers: 7)
Bulletin of the Association for Information Science and Technology     Open Access   (Followers: 25)
Bulletin of the John Rylands Library     Hybrid Journal   (Followers: 21)
Canadian Journal of Academic Librarianship     Open Access   (Followers: 20)
Canadian Journal of Information and Library Science     Full-text available via subscription   (Followers: 254)
Cataloging & Classification Quarterly     Hybrid Journal   (Followers: 178)
CERN IdeaSquare Journal of Experimental Innovation     Open Access  
Children and Libraries : The Journal of the Association for Library Service to Children     Full-text available via subscription   (Followers: 16)
CIC. Cuadernos de Informacion y Comunicacion     Open Access   (Followers: 5)
Ciência da Informação em Revista     Open Access   (Followers: 2)
Code4Lib Journal     Open Access   (Followers: 181)
Collaborative Librarianship     Open Access   (Followers: 52)
Collection and Curation     Hybrid Journal   (Followers: 11)
College & Research Libraries     Open Access   (Followers: 463)
College & Research Libraries News     Partially Free   (Followers: 256)
College & Undergraduate Libraries     Hybrid Journal   (Followers: 231)
Communicate : Journal of Library and Information Science     Full-text available via subscription   (Followers: 64)
Communication Booknotes Quarterly     Hybrid Journal   (Followers: 15)
Communications in Information Literacy     Open Access   (Followers: 203)
Community & Junior College Libraries     Hybrid Journal   (Followers: 44)
Cuadernos de Gestión de Información     Open Access   (Followers: 1)
Data Curation Profiles Directory     Open Access   (Followers: 6)
Data Technologies and Applications     Hybrid Journal   (Followers: 217)
DESIDOC Journal of Library & Information Technology     Open Access   (Followers: 98)
Digital Library Perspectives     Hybrid Journal   (Followers: 40)
Digital Platform: Information Technologies in Sociocultural Sphere     Open Access   (Followers: 1)
Documentación de las Ciencias de la Información     Open Access   (Followers: 1)
Documentation et bibliothèques     Full-text available via subscription   (Followers: 9)
e & i Elektrotechnik und Informationstechnik     Hybrid Journal   (Followers: 8)
e-Ciencias de la Información     Open Access   (Followers: 1)
Eastern Librarian     Open Access   (Followers: 11)
Edulib : Journal of Library and Information Science     Open Access   (Followers: 27)
Egyptian Informatics Journal     Open Access   (Followers: 5)
El Profesional de la Informacion     Full-text available via subscription   (Followers: 18)
eLucidate     Open Access   (Followers: 7)
Emerging Library & Information Perspectives     Open Access   (Followers: 30)
Encontros Bibli : revista eletrônica de biblioteconomia e ciência da informação     Open Access   (Followers: 3)
Ethics and Information Technology     Hybrid Journal   (Followers: 64)
European Journal of Information Systems     Hybrid Journal   (Followers: 87)
European Science Editing     Open Access   (Followers: 1)
Evidence Based Library and Information Practice     Open Access   (Followers: 393)
Florida Libraries     Open Access   (Followers: 1)
Folia Bibliologica     Open Access  
Forensic Science International: Digital Investigation     Full-text available via subscription   (Followers: 318)
Foundations and Trends® in Information Retrieval     Full-text available via subscription   (Followers: 30)
Georgia Library Quarterly     Open Access   (Followers: 21)
Ghana Library Journal     Full-text available via subscription   (Followers: 16)
Global Knowledge, Memory and Communication     Hybrid Journal   (Followers: 819)
GSI Journals Serie C : Advancements in Information Sciences and Technologies     Open Access   (Followers: 1)
Health Information Management Journal     Hybrid Journal   (Followers: 24)
Hipertext.net : Anuario Académico sobre Documentación Digital y Comunicación Interactiva     Open Access   (Followers: 1)
HLA News     Full-text available via subscription   (Followers: 2)
IASSIST Quarterly     Open Access  
Idaho Librarian     Free   (Followers: 8)
IFLA Journal     Hybrid Journal   (Followers: 229)
In Monte Artium     Full-text available via subscription   (Followers: 1)
In the Library with the Lead Pipe     Open Access   (Followers: 124)
InCID : Revista de Ciência da Informação e Documentação     Open Access  
InCite     Full-text available via subscription   (Followers: 19)
Informaatiotutkimus     Open Access   (Followers: 4)
Informação & Informação     Open Access   (Followers: 2)
Informação em Pauta     Open Access  
Informacijos mokslai     Open Access  
Información, Cultura y Sociedad     Open Access   (Followers: 2)
Informatio. Revista del Instituto de Información de la Facultad de Información y Comunicación     Open Access  
Information     Open Access   (Followers: 30)
Information & Culture : A Journal of History     Full-text available via subscription   (Followers: 30)
Information Discovery and Delivery     Hybrid Journal   (Followers: 44)
Information Manager (The)     Open Access   (Followers: 29)
Information Processing & Management     Hybrid Journal   (Followers: 145)
Information Retrieval     Hybrid Journal   (Followers: 207)
Information Sciences     Hybrid Journal   (Followers: 187)
Information Systems Frontiers     Hybrid Journal   (Followers: 27)
Information Systems Research     Full-text available via subscription   (Followers: 146)
Information Technologies & International Development     Open Access   (Followers: 82)
Information Technologist (The)     Full-text available via subscription   (Followers: 17)
Information Technology and Libraries     Open Access   (Followers: 312)
Information Today     Full-text available via subscription   (Followers: 35)
Informationspraxis     Open Access   (Followers: 12)
Informationswissenschaft : Theorie, Methode und Praxis     Open Access   (Followers: 4)
iNFOTEZY     Open Access  
Insaniyat : Journal of Islam and Humanities     Open Access   (Followers: 1)
Insights : the UKSG journal     Open Access   (Followers: 62)
InterActions: UCLA Journal of Education and Information     Open Access   (Followers: 11)
Interdisciplinary Journal of e-Skills and Lifelong Learning     Open Access   (Followers: 3)
Interdisciplinary Journal of Information, Knowledge, and Management     Open Access   (Followers: 12)
International Association of School Librarianship Conference Proceedings     Open Access  
International Information & Library Review     Hybrid Journal   (Followers: 404)
International Journal of Bibliometrics in Business and Management     Hybrid Journal   (Followers: 2)
International Journal of Business Information Systems     Hybrid Journal   (Followers: 14)
International Journal of Cooperative Information Systems     Hybrid Journal   (Followers: 4)
International Journal of Digital Curation     Open Access   (Followers: 81)
International Journal of Digital Library Systems     Full-text available via subscription   (Followers: 73)
International Journal of Doctoral Studies     Open Access   (Followers: 6)
International Journal of Information and Decision Sciences     Hybrid Journal   (Followers: 10)
International Journal of Information Management     Hybrid Journal   (Followers: 163)
International Journal of Information Privacy, Security and Integrity     Hybrid Journal   (Followers: 25)
International Journal of Information Retrieval Research     Full-text available via subscription   (Followers: 28)
International Journal of Information Science and Management     Open Access   (Followers: 6)
International Journal of Information Technology, Communications and Convergence     Hybrid Journal   (Followers: 14)
International Journal of Information, Diversity, & Inclusion     Open Access   (Followers: 3)
International Journal of Intellectual Property Management     Hybrid Journal   (Followers: 26)
International Journal of Intercultural Information Management     Hybrid Journal   (Followers: 12)
International Journal of Legal Information     Full-text available via subscription   (Followers: 50)
International Journal of Librarianship     Open Access   (Followers: 25)
International Journal of Library and Information Science     Open Access   (Followers: 247)
International Journal of Library Science     Open Access   (Followers: 269)
International Journal of Library Science     Full-text available via subscription   (Followers: 55)
International Journal of Multicriteria Decision Making     Hybrid Journal   (Followers: 8)
International Journal of Multimedia Information Retrieval     Partially Free   (Followers: 8)
International Journal of Organisational Design and Engineering     Hybrid Journal   (Followers: 3)
International Journal of Web Portals     Full-text available via subscription   (Followers: 16)
International Journal on Digital Libraries     Hybrid Journal   (Followers: 550)
InULA Notes : Indiana University Librarians Association     Open Access  
Investigación Bibliotecológica     Open Access   (Followers: 4)
IRIS - Revista de Informação, Memória e Tecnologia     Open Access  
Issues in Informing Science and Information Technology     Open Access   (Followers: 2)
Issues in Science and Technology Librarianship     Open Access   (Followers: 2)
JISTEM : Journal of Information Systems and Technology Management     Open Access   (Followers: 6)
JLIS.it     Open Access   (Followers: 7)
JMIR Medical Informatics     Open Access   (Followers: 10)
Journal of Academic Librarianship     Hybrid Journal   (Followers: 1025)
Journal of Access Services     Hybrid Journal   (Followers: 39)
Journal of Advancements in Library Sciences     Open Access   (Followers: 47)
Journal of Adventist Libraries and Archives     Open Access  
Journal of Altmetrics     Open Access   (Followers: 7)
Journal of Archival Organization     Hybrid Journal   (Followers: 29)
Journal of Copyright in Education & Librarianship     Open Access   (Followers: 29)
Journal of Creative Library Practice     Open Access   (Followers: 98)
Journal of Data Mining and Digital Humanities     Open Access   (Followers: 39)
Journal of Documentation     Hybrid Journal   (Followers: 168)
Journal of East Asian Libraries     Open Access   (Followers: 7)
Journal of Education in Library and Information Science - JELIS     Full-text available via subscription   (Followers: 71)
Journal of Educational Media & Library Sciences     Open Access   (Followers: 9)
Journal of Educational Media, Memory, and Society     Full-text available via subscription   (Followers: 13)
Journal of Electronic Publishing     Open Access   (Followers: 76)
Journal of Electronic Resources Librarianship     Hybrid Journal   (Followers: 231)
Journal of eScience Librarianship     Open Access   (Followers: 114)
Journal of Global Information Management     Full-text available via subscription   (Followers: 9)
Journal of Health & Medical Informatics     Open Access   (Followers: 50)
Journal of Hospital Librarianship     Hybrid Journal   (Followers: 161)
Journal of Information & Knowledge Management     Hybrid Journal   (Followers: 150)
Journal of Information and Data Management     Open Access   (Followers: 14)
Journal of Information Engineering and Applications     Open Access   (Followers: 10)
Journal of Information Literacy     Open Access   (Followers: 790)
Journal of Information Science     Hybrid Journal   (Followers: 1031)
Journal of Information Studies & Technology     Open Access   (Followers: 1)

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Similar Journals
Journal Cover
Journal of Information Science
Journal Prestige (SJR): 0.674
Citation Impact (citeScore): 2
Number of Followers: 1031  
 
  Hybrid Journal Hybrid journal (It can contain Open Access articles)
ISSN (Print) 0165-5515 - ISSN (Online) 1741-6485
Published by Sage Publications Homepage  [1174 journals]
  • Hermos: An annotated image dataset for visual detection of grape leaf
           diseases

    • Free pre-print version: Loading...

      Authors: Tuğba Özacar, Övünç Öztürk, Nurdan Güngör Savaş
      Abstract: Journal of Information Science, Ahead of Print.
      Powdery mildew, dead arm and vineyard downy mildew diseases are frequently seen in the vineyards in the Gediz River Basin, West Anatolia of Turkey. These diseases can be detected early using artificial intelligence (AI)–based systems that can contribute to crop yields and also reduce the labour of the farmer and the amount of pesticides used. This article presents a dataset – namely, Hermos – for use in such AI-based systems. Hermos contains four classes of grape leaf images: leaves with powdery mildew, leaves with dead arm, leaves with downy mildew and healthy leaves. We have currently 492 images and 13,913 labels in the dataset. We have published Hermos in the Linked Open Data (LOD) cloud in order to make it easier for consumers to access, process and manipulate the data.
      Citation: Journal of Information Science
      PubDate: 2022-06-29T09:18:01Z
      DOI: 10.1177/01655515221091892
       
  • Information skills and literacy in investigative journalism in the social
           media era

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      Authors: He Zhang, Haichao Wang
      Abstract: Journal of Information Science, Ahead of Print.
      The study aims to determine the preferred information skills and evaluate information literacy and skills in the social media era on the example of investigative journalism to surmount the majority of challenges it faces. The challenge-based survey conducted among 281 reporting journalists from various countries revealed that their information skills and literacy are average. The survey results show that half of the respondents (52%) recognise the importance of these characteristics, while 38% are sure that information literacy and skills are not necessary and 10% chose the variant ‘I am not sure’. As the indicators show, the main aim for investigative journalists’ writing is to influence the society’s mind about some facts presented in the reports (40%). Only 25% of respondents write with the purpose to present reliable information that indicates the level of their information literacy. The latest strategies in the professional development of investigative journalists in modern social media era allow overcoming the major challenges, including those related to the influence and interests of third parties. The practical significance and prospects of further research are explained by the possibility of using the obtained statistical data to increase the level of information literacy and skills not only of investigative journalists, but also other specialists who work with information.
      Citation: Journal of Information Science
      PubDate: 2022-05-06T03:14:42Z
      DOI: 10.1177/01655515221094442
       
  • Investigation of university websites from technology acceptance model and
           information architecture perspective: A case study

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      Authors: Ferdi Sönmez, Uygar Aydin, Ziya N Perdahci
      Abstract: Journal of Information Science, Ahead of Print.
      Factors, such as whether a website is designed to be user-oriented beyond its mere visual design, its effectiveness and efficiency, its usability, and the organisation of the information it offers, have come to the fore once again after the Covid-19 pandemic. It has been evident that the link structure in a website, better known as the website’s information architecture, helps the practitioners with identifying factors that affect the usability of a website. In this sense, practitioners must ensure that the information architecture supports the usage intentions of a websites’ visitors to better serve and motivate them. However, in many cases, different types of users navigate websites that contain immense amounts of information, so understanding their needs is also important for practitioners. In parallel, this article addresses the problem that different visitors of a large-scale website will need to navigate through dense information to find the information they are looking for, and the information architecture of the website must support different user tasks for the website to be widely adopted. Thus, unlike previous studies, this article combines the principles of information architecture and the technology acceptance model to investigate the effect of information architecture on visitor’s usage intentions. The work also guides practitioners in developing architectural strategies to better enable visitors to fulfil their objectives in the least amount of time.
      Citation: Journal of Information Science
      PubDate: 2022-05-06T03:11:00Z
      DOI: 10.1177/01655515221094436
       
  • Scaling up search engine audits: Practical insights for algorithm auditing

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      Authors: Roberto Ulloa, Mykola Makhortykh, Aleksandra Urman
      Abstract: Journal of Information Science, Ahead of Print.
      Algorithm audits have increased in recent years due to a growing need to independently assess the performance of automatically curated services that process, filter and rank the large and dynamic amount of information available on the Internet. Among several methodologies to perform such audits, virtual agents stand out because they offer the ability to perform systematic experiments, simulating human behaviour without the associated costs of recruiting participants. Motivated by the importance of research transparency and replicability of results, this article focuses on the challenges of such an approach. It provides methodological details, recommendations, lessons learned and limitations based on our experience of setting up experiments for eight search engines (including main, news, image and video sections) with hundreds of virtual agents placed in different regions. We demonstrate the successful performance of our research infrastructure across multiple data collections, with diverse experimental designs, and point to different changes and strategies that improve the quality of the method. We conclude that virtual agents are a promising venue for monitoring the performance of algorithms across long periods of time, and we hope that this article can serve as a basis for further research in this area.
      Citation: Journal of Information Science
      PubDate: 2022-05-02T08:24:02Z
      DOI: 10.1177/01655515221093029
       
  • Representation, detection and usage of the content semantics of comments
           in a social platform

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      Authors: Gianluca Bonifazi, Francesco Cauteruccio, Enrico Corradini, Michele Marchetti, Giorgio Terracina, Domenico Ursino, Luca Virgili
      Abstract: Journal of Information Science, Ahead of Print.
      The analysis of people’s comments in social platforms is a widely investigated topic because comments are the place where people show their spontaneity most clearly. In this article, we present a network-based data structure and a related approach to represent and manage the underlying semantics of a set of comments. Our approach is based on the extraction of text patterns that take into account not only the frequency, but also the utility of the analysed comments. Our data structure and approach are ‘multidimensional’ and ‘holistic’, in the sense that they can simultaneously handle content semantics from multiple perspectives. They are also easily extensible, because additional content semantics perspectives can be easily added to them. Furthermore, our approach is able to evaluate the semantic similarity of two sets of comments. In this article, we also illustrate the results of several tests we conducted on Reddit comments, even if our approach can be applied to any social platform. Finally, we provide an overview of some possible applications of this research.
      Citation: Journal of Information Science
      PubDate: 2022-05-01T02:50:07Z
      DOI: 10.1177/01655515221087663
       
  • Linked data for libraries: Creating a global knowledge space, a systematic
           literature review

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      Authors: Panorea Gaitanou, Ioanna Andreou, Miguel-Angel Sicilia, Emmanouel Garoufallou
      Abstract: Journal of Information Science, Ahead of Print.
      The Semantic Web in general and the Linked Open Data Initiative, in particular, are a growing movement for organisations to make their existing data available in a machine-readable format. Thus, institutions are highly encouraged to publish, share and interlink their data publicly. The more data are opened on the Web (Open Data), the more integrated sets of data will be connected in the Semantic Web (Linked Open Data). Within this context, libraries can complement their data by linking it to other, external data sources. The purpose of this article is to identify papers that refer to linked data in libraries, emphasising the ways that linked data empower libraries to put their knowledge in the context of the open-world, thus enhancing semantic technology innovations. The study considered papers published between 2008 and 2019 in English and presents the collected literature by grouping it according to the topic each paper refers to. The results show that libraries are facing a period of continuing change which present several challenges and indicate that they are moving towards developing new practices, policies and services.
      Citation: Journal of Information Science
      PubDate: 2022-05-01T02:45:50Z
      DOI: 10.1177/01655515221084645
       
  • Quality of reporting of literature search strategies in systematic reviews
           published on the role of telehealth during COVID-19

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      Authors: Fatemeh Sadeghi-Ghyassi, Vahideh Zarea Gavgani, Zahra Fathifar, Nasrin Makani, Reyhaneh Vaez, Maryam Montazeri
      Abstract: Journal of Information Science, Ahead of Print.
      A comprehensive and reproducible search strategy for systematic reviews especially about COVID-19 plays a pivotal role in conducting a reliable and unbiased review. The primary aim of this study was to investigate the quality of the search strategy reporting in systematic reviews conducted on the role of telehealth during COVID-19. The secondary aim of study was to explore some affecting factor in the quality of search strategy. The study evaluated the quality of the search strategy reporting with PRISMA-S checklist. The search was performed in MEDLINE, Embase, CINAHL, and other related databases. Systematic reviews were included. There was no language restriction. The correlation of the PRISMA-S scores with journal impact factor, CiteScore, and librarians’ role were evaluated using Spearman’s rank correlation coefficient. A total of 85 articles were included in the review. The overall mean score of PRISMA-S checklist was 6.12 ± 1.46. PubMed was the most popular database for search. More than half of the studies did not provide a full search strategy. There was a significant positive correlation between PRISMA-S score and the journal impact factor (Spearman’s rho = 0.217; P = 0.46) and CiteScore (Spearman’s rho = 0.235; P = 0.03). The quality of literature search was poor in the included studies. Using the PRISMA-S as a search reporting guideline can be a helpful tool for authors. A professional librarian can be beneficial in improving the quality of the search. It is recommended to use a new pattern in COVID-19-related searches, such as preprint sources.
      Citation: Journal of Information Science
      PubDate: 2022-04-28T04:30:44Z
      DOI: 10.1177/01655515221087649
       
  • Research on information dissemination of blockchain network community
           under the action of negative incentive mechanism

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      Authors: Renqiang Xie, Wende Zhang
      Abstract: Journal of Information Science, Ahead of Print.
      Traditional online communities suffer from false, repetitive or low-level content, with blockchain technology able to solve these problems. Specifically, the incentive mechanism is the blockchain’s core value, including positive and negative incentive mechanisms. The former strengthens people’s behaviour positively, while the latter, on the contrary, adopts mandatory methods such as punishment to eliminate the occurrence of certain types of behaviour. The negative incentive mechanism is the key factor to solve the problems presented above that traditional online communities face. Specifically, this article develops a solution that utilises the negative incentive mechanism, based on the classic infectious disease model (SIR model), introduces smart nodes, puts forward the SSIR model of information dissemination in the blockchain network community, and establishes a set of differential equations reflecting the information dissemination rules. Based on the parameter assumption and solving the equations with MATLAB, this article compares and reveals the changes of different user types on the SIR and SSIR models. Furthermore, we utilise the data collected from the Steemit blockchain community and Sina Weibo platform and apply the Social Network Analysis method to compare and analyse the information dissemination between the blockchain and the traditional network community. The research results highlight that the negative incentive mechanism in the blockchain network community affords a more rational behaviour of user information dissemination, a simpler interaction between users, and reducing to a certain extent the dissemination of ‘distorted’ or ‘uncertain’ information.
      Citation: Journal of Information Science
      PubDate: 2022-04-27T09:15:56Z
      DOI: 10.1177/01655515221087665
       
  • Investigating country-focused studies in Library and Information Science
           journals

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      Authors: Eungi Kim, Eun Sil Kim
      Abstract: Journal of Information Science, Ahead of Print.
      A country-focused study can be defined as a type of study in which the article’s topic is limited to a particular country. Based on the assumption that a country-focused article contains one or more country names in the title or keywords (CNtk), the objective of this study was to investigate the characteristics of country-focused articles in Library and Information Science (LIS) journals. For this study, we selected 30 journals from the Scimago Journal Rank with the highest h-index scores to empirically investigate LIS articles with CNtk. The respective bibliographic records of these journals from 2010 to 2020 were downloaded from Scopus. In terms of subject categories, journals that addressed scientific and technical topics published fewer country-focused articles. In contrast, those on culture, society and government published a higher number of country-focused articles. One exception to this generalisation is that country-focused studies were found to be highly prevalent in certain technical subjects, such as bibliometrics. Although additional empirical evidence is needed for other fields of study, the proposed method seems valuable in analysing journal characteristics since it provides country-specific information about the published articles.
      Citation: Journal of Information Science
      PubDate: 2022-04-23T11:44:38Z
      DOI: 10.1177/01655515221091893
       
  • Axiology of Covid-19 as a linguistic phenomenon

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      Authors: Anastasia Atabekova, Larisa Lutskovskaia, Elena Kalashnikova
      Abstract: Journal of Information Science, Ahead of Print.
      This work’s aim was to investigate what verbal means are used by English-speaking Twitter accounts to describe the pandemic while focusing on extralinguistic factors that are the primary catalysts for linguistic transformations in society. A critical discourse analysis of the lexeme ‘Covid-19’ and words accompanying it was applied. A total of 1736 English-language tweets (6844 lexical units) posted during March to April 2020 were selected for the analysis. Functional discourse analysis allowed systematising and commenting on sampling results as well as provided the opportunity to make the following conclusions. In tweets, the lexeme ‘Covid-19’ is combined not only with the actual name of the virus. This lexeme became a productive ground for derivation into various linguistic structures: substantive word combinations, abbreviations, neologisms and anthropomorphic metaphors. The research results application in international practice will allow linguists to interpret neologisms that emerged as a result of the pandemic and foster the understanding of axiological indicators of native speakers.
      Citation: Journal of Information Science
      PubDate: 2022-04-23T11:40:34Z
      DOI: 10.1177/01655515221091542
       
  • SceneFND: Multimodal fake news detection by modelling scene context
           information

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      Authors: Guobiao Zhang, Anastasia Giachanou, Paolo Rosso
      Abstract: Journal of Information Science, Ahead of Print.
      Fake news is a threat for the society and can create a lot of confusion to people regarding what is true and what not. Fake news usually contain manipulated content, such as text or images that attract the interest of the readers with the aim to convince them on their truthfulness. In this article, we propose SceneFND (Scene Fake News Detection), a system that combines textual, contextual scene and visual representation to address the problem of multimodal fake news detection. The textual representation is based on word embeddings that are passed into a bidirectional long short-term memory network. Both the contextual scene and the visual representations are based on the images contained in the news post. The place, weather and season scenes are extracted from the image. Our statistical analysis on the scenes showed that there are statistically significant differences regarding their frequency in fake and real news. In addition, our experimental results on two real world datasets show that the integration of the contextual scenes is effective for fake news detection. In particular, SceneFND improved the performance of the textual baseline by 3.48% in PolitiFact and by 3.32% in GossipCop datasets. Finally, we show the suitability of the scene information for the task and present some examples to explain its effectiveness in capturing the relevance between images and text.
      Citation: Journal of Information Science
      PubDate: 2022-04-23T11:36:41Z
      DOI: 10.1177/01655515221087683
       
  • The role of psychological, skill level and demographic variables in
           information-seeking behaviours in mental health professionals

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      Authors: Ali Akbari, Mohsen Nowkarizi, Reza Rostami, Ali Moghimi
      Abstract: Journal of Information Science, Ahead of Print.
      The aim of this study was to identify the variables that can potentially affect information-seeking behaviour in mental health service providers using a quasi-experimental research design. The sample included 30 mental health professionals (with minimum 2 years of experience) to each of whom a scenario was presented in which signs and symptoms of three patients were presented, simulating an actual diagnostic interview. Stress response evaluation (SRE), questionnaires, behavioural observation by the Morae software, and semi-structured interviews were used as means of data collection. Our findings showed that variables such as demographic (e.g. field of study, level of education, work experience and age), psychological (e.g. state and trait anxiety, and therapist’s self-assessment) and skill level (e.g. information literacy and expert knowledge) had significant effects on information-seeking behaviour. These results can hopefully provide insights to designers and librarians who seek to create novel or optimise the existing physician-assisted systems.
      Citation: Journal of Information Science
      PubDate: 2022-04-21T09:12:44Z
      DOI: 10.1177/01655515221092363
       
  • Query-focused summarisation in research articles based on semantic
           function of sentences

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      Authors: Yueqian Wang, Yi Bu, Win-bin Huang
      Abstract: Journal of Information Science, Ahead of Print.
      Query-focused summarisation (QFS) in research articles is usually used to help researchers to sum up content related to specific aspects of research articles. However, most QFS approaches failed to consider the inherent structure of research articles to speculate the semantic functions of sentences to make summarisations relate to the given aspect more precisely. Systematic functional linguistic studies suggested that research articles contain inherent structures in which sections and sentences have their specific functions. We suppose these structures can be used as auxiliary information for scientific summarisation. In this article, we seek to improve existing extractive QFS methods by using the macrostructure and discourse segment structure of research articles. We categorise sentences in research articles into different types according to their semantic functions and assign different weights to each type of sentence using an action-based relevance calculation method. We show that our system outperforms the baseline system on a benchmark dataset. Our findings suggest that using the inherent structure of research articles as assistance is practical for scientific summarisation.
      Citation: Journal of Information Science
      PubDate: 2022-04-12T11:28:25Z
      DOI: 10.1177/01655515221086591
       
  • Investigation of information security policy violations among oil and gas
           employees: A security-related stress and avoidance coping perspective

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      Authors: Rao Faizan Ali, PDD Dominic
      Abstract: Journal of Information Science, Ahead of Print.
      Information security is one of the most crucial considerations in digitising Oil and Gas (O&G) organisations. For ensuring information security policy compliance, O&G organisations enforce heavy security requirements. The purpose of this article is to assess how O&G employees cope with stressful information security tasks and how security-related stress (SRS) is related to information security policy violations among O&G employees in developing countries. Based on the coping theory, this article develops a theoretical framework to examine O&G employees’ intention to violate information security policies. The framework is tested using a survey of 270 managers/executives from 150 Malaysian O&G organisations. The results indicated that O&G employees perceive security requirements as stressful to follow and adopt avoidance coping strategies that lead them to violate organisational information security policies. For practitioners, the study findings demonstrate the prevalence of technostress in O&G organisations and suggest alternative mechanisms to address the stressful effects of information security requirements. This article contributes to the information system security literature by testing procrastination and psychological detachment with SRS in the context of developing countries' O&G organisations’ employees and provides an understanding of how O&G employees adopt avoidance coping.
      Citation: Journal of Information Science
      PubDate: 2022-04-07T06:31:09Z
      DOI: 10.1177/01655515221087680
       
  • The digital ecosystem information framework: Insights from action deign
           research

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      Authors: Asif Qumer Gill
      Abstract: Journal of Information Science, Ahead of Print.
      Digital ecosystem (DE) is a dynamic configuration of informational organisms, individual and organisational actors, which interact in the digitally networked and federated environment. Traditional approaches are challenged by the need for handling information in complex DE where information flows beyond the boundary of a single actor. This article presents the informational organism-interaction centric digital ecosystem information (DEi) framework for information operations, management, and governance. The DEi framework emerged based on the insights obtained through the application of well-known thematic network analysis and abstraction, reflection and learning techniques to 15 action design research projects across nine different industry partners in Australia. The DEi framework includes 27 topics that are organised into nine key knowledge and three focus areas. The DEi framework can be used by researchers and practitioners as a resource for designing digital information capabilities as appropriate to their context.
      Citation: Journal of Information Science
      PubDate: 2022-04-05T09:56:56Z
      DOI: 10.1177/01655515221086593
       
  • Questionable conferences and presenters from top-ranked universities

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      Authors: Emanuel Kulczycki, Marek Hołowiecki, Zehra Taşk℩n, Güleda Doğan
      Abstract: Journal of Information Science, Ahead of Print.
      This article aims to investigate the structures of 935 conferences organised by OMICS and 296 conferences organised by WASET from 2015 through 2017. These conferences are characterised in existing literature as so-called predatory or questionable conferences that provide low-quality academic meetings. We analyse 40,224 presenters, focusing on top-ranked institutions according to three global university ranking systems (Academic Ranking of World Universities, Times Higher Education World University Rankings, and QS World University Rankings). Our analysis shows that participants in OMICS events were primarily researchers from the United States, India, the United Kingdom, and China. WASET attracted more researchers from Turkey, India, and South Korea. We found that 11.0% of OMICS and 5.7% of WASET presenters were affiliated with institutions ranked in the top 100 in one of the three aforementioned rankings. We also found that both companies mostly organised conferences in cities that were top tourist destinations.
      Citation: Journal of Information Science
      PubDate: 2022-04-04T10:15:58Z
      DOI: 10.1177/01655515221087674
       
  • Information in the personal collections of writers and artists: Practices,
           challenges and preservation

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      Authors: Maja Krtalić, Jesse David Dinneen
      Abstract: Journal of Information Science, Ahead of Print.
      This article presents findings from interviews with 18 writers and artists in New Zealand, whose lives and work have potential heritage value. The objective was to investigate the perceived value of participants’ personal collections, the relevant management practices and challenges, and their potential effects on preservation and (re)use. The findings provide a characterisation of the personal information management (PIM) practices of writers and artists, revealed challenges common to organising personal collections across time and devices as well as those caused or increased by the nature of writers’ and artists’ work, and produce insights into the impact of perceived collection value and PIM practices on future access, preservation and (re)use of such collections.
      Citation: Journal of Information Science
      PubDate: 2022-04-01T10:02:25Z
      DOI: 10.1177/01655515221084613
       
  • How has academia responded to the urgent needs created by COVID-19' A
           multi-level global, regional and national analysis

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      Authors: Wenjing Zhao, Lin Zhang, Junling Wang, Lili Wang
      Abstract: Journal of Information Science, Ahead of Print.
      In the context of the COVID-19 pandemic, gaining insights into how academia has responded to this urgent challenge is of great significance. This article presents academic response patterns at a global, regional and national level from an analysis of publication volume versus reported cases of COVID-19, scientific collaboration and research focus. We also compare academic activity associated with this newly emerging infection to that related to long-standing infections. Our results show that the research community has responded quickly to COVID-19. The highly developed countries, which have the highest number of confirmed cases, are also the major academic contributors. National-level analysis reveals diverse response patterns from different countries. Specifically, academic research in the United Kingdom remained at a relatively constant level throughout the whole year (2020), while the global share of China’s research output was prone to shift as its domestic pandemic status changed. Strong alliances have formed among countries with academic capabilities in response to the COVID-19 pandemic. The distribution of disciplines is relatively decentralised, indicating that a diverse and broad knowledge base contributes to the COVID-19 literature. Most of the analysed countries show dynamic patterns of research focus that vary over time as the pandemic evolves, except India. As one of the world’s biggest suppliers of vaccines, India makes consistent efforts on vaccine research, especially those related to pharmaceutical preparations. Our findings may serve as resources for fostering strategies to respond to future threats of pandemics.
      Citation: Journal of Information Science
      PubDate: 2022-03-14T06:45:30Z
      DOI: 10.1177/01655515221084646
       
  • Unveiling cognitive structure and comparative advantages of countries in
           knowledge domains

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      Authors: Teresa Muñoz-Écija, Benjamín Vargas-Quesada, Zaida Chinchilla-Rodríguez
      Abstract: Journal of Information Science, Ahead of Print.
      Mapping and depicting the structure, dynamics and national specialisation profiles of scientific fields at the country level affords a better understanding of national developments and changes in a given field, particularly when these changes may serve as an aid in decision-making with regard to research management. This article looks at the cognitive structure of a field over time to characterise its development across countries and to appraise the competitiveness of countries in terms of research specialisation. Based on a dataset extracted from the Scopus database, we conducted a co-word analysis and studied the degree of specialisation based on publications and on keywords, in the Nanoscience and Nanotechnology field (NST). The results reveal that NST research tends to focus on nano applications and devices. According to the keyword activity index, the countries studied centre their specialisation on electronic, biotechnology and biomedical research, certain countries showing a more competitive edge in the global realm of output. Accordingly, implications that could contribute to decision-making regarding the economy and research policies are described.
      Citation: Journal of Information Science
      PubDate: 2022-03-14T06:42:30Z
      DOI: 10.1177/01655515221084607
       
  • Research knowledge utilisation for societal impact: Information practices
           based on abductive topic modelling

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      Authors: Han Zheng, LG Pee
      Abstract: Journal of Information Science, Ahead of Print.
      Information science researchers are increasingly seeking to understand the utilisation of knowledge generated through scientific research outside of academia. Although the conceptual levels of knowledge utilisation are well established, our understanding of the various information practices for knowledge utilisation employed by researchers remains limited. This study identified such information practices by text-mining 6637 case studies documented under the United Kingdom’s Research Excellence Framework. The results were augmented with expert judgement to develop a framework consisting of nine types based on the theoretical framework of research knowledge utilisation. Three emerging types were identified: deliberation, co-creation and foresighting. They indicate the rise of information practices leveraging social media and analytical capabilities to engage potential beneficiaries in using and realising the value of research.
      Citation: Journal of Information Science
      PubDate: 2022-03-07T11:58:06Z
      DOI: 10.1177/01655515221081354
       
  • A web-based information intervention for family caregivers of patients
           with Dementia: A randomized controlled trial

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      Authors: Simin Salehinejad, Nazanin Jannati, Mohammad Azami, Moghaddameh Mirzaee, Kambiz Bahaadinbeigy
      Abstract: Journal of Information Science, Ahead of Print.
      This study aimed to evaluate the efficacy of a web-based health information intervention on knowledge, care burden and attitudes of family caregivers of patients with dementia. This study is a unblinded randomised controlled trial. The study population consisted of family caregivers of patients with dementia (n = 50) which were randomly allocated to the intervention group (access to the web-based health information) or control group (access to information as usual). The participants completed knowledge, care burden and attitude questionnaire at baseline and at two months follow-up. A total of 50 caregivers participated in this study. Before the intervention, there was no statistically significant difference between the knowledge, care burden and attitude score between the two groups (p> 0.001). In comparison to the control group after the intervention, participants in the intervention group showed significant improvements in all outcomes (p < 0.001). These findings provide further evidence that web-based information interventions helped caregivers feel more confident, empathetic and concerned about dementia care with less care burden.
      Citation: Journal of Information Science
      PubDate: 2022-03-07T11:55:41Z
      DOI: 10.1177/01655515221081353
       
  • Journal of Information Science: A gender-based bibliometricstudy
           (2015–2020)

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      Authors: Silvia Cobo-Serrano, Rosario Arquero-Avilés, Gonzalo Marco-Cuenca
      Abstract: Journal of Information Science, Ahead of Print.
      Scientific publication is one of the main channels for disseminating research results and one of the most important means of determining the presence of women in scientific research. This article aims to conduct a bibliometric analysis in the Library and Information Science (LIS) field, from a gender perspective, by analysing Journal of Information Science (2015–2020). To reach this goal, the research has been developed in several stages (data collection, gender authors’ identification, validation of authorities, contact by email and analysis of results) to identify 326 contributions and 697 authors finally. Analysis patterns showed outcomes on gender (single and multiple authors), scientific collaboration, authorship time-course, authorship productivity as well as institutional and geographic affiliation. Some conclusions show that male and female authors are not equally represented in the journal, with a great difference in the case of collective authorship. Overall, there is a clear trend of single and multiple male authorship.
      Citation: Journal of Information Science
      PubDate: 2022-03-05T09:38:15Z
      DOI: 10.1177/01655515221081346
       
  • MathUSE: Mathematical information retrieval system using universal
           sentence encoder model

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      Authors: Pankaj Dadure, Partha Pakray, Sivaji Bandyopadhyay
      Abstract: Journal of Information Science, Ahead of Print.
      In the scientific field, mathematical formulae are a significant factor in communicating the ideas and the fundamental principles of any scientific knowledge. Nowadays, the scientific research community generates a huge number of documents that comprise both textual and mathematical formulae. For the retrieval of textual information, numerous retrieval systems are present that generate excellent results. Nevertheless, these textual information retrieval systems are insufficient to handle the structure and scripting styles of the mathematical formulae. The recent past has perceived the research, which intends to retrieve the textual and mathematical formulae, but their impoverished results are symptomatic to the scope of improvement. In this article, we have implemented the formula-embedding approach, which encodes the formulae into fixed dimensional embedding vectors. For encoding of formula, we have used universal sentence encoder–based sentence-embedding model, which relies on transformer architecture and deep averaging network. The proposed models take the latex formula as an input and produce an output of fixed dimensional embedding representation. To achieve more promising results, the transformer model follows stacked self-attentions, point-wise fully connected layers and positional encoding for both the encoder and decoder. The obtained results have been compared with state-of-the-art existing approaches, and the comparison study revealed that the proposed approach offers better retrieval accuracy in terms of [math] = 0.217, [math] = 0.178 and P@10 = 0.378 measures.
      Citation: Journal of Information Science
      PubDate: 2022-03-04T12:31:19Z
      DOI: 10.1177/01655515221077335
       
  • Enterprise resource planning adoption model for well-informed decision in
           higher learning institutions

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      Authors: Muaadh Mukred, Fahad M Alotaibi, Zawiyah M Yusof, Umi Asma’ Mokhtar, Burkan Hawash, Waleed Abdulkafi Ahmed
      Abstract: Journal of Information Science, Ahead of Print.
      Enterprise resource planning (ERP) has been found to have a key role in the management of higher learning institutions (HLIs) and schools. However, the literature shows no universal model to support and shed light on the adoption of ERP, which lessens the chances for an effective ERP adoption and usage. Therefore, a new model is needed for successful adoption and the eventual enhanced decision-making, and as such, there is a need to investigate the factors that can bring about ERP system adoption. Models for ERP adoption in literature are few and far between, and what few exist are not applicable as they do not cover all the major factors that can contribute to adoption success. Hence, in this article, an ERP adoption model was brought forward for HLIs for the promotion of their decision-making process. The model was developed through the integration of DeLone and McLean’s information success model and the technology, organisation and environment (TOE) theory. The study distributed 500 survey questionnaire copies online and collected 364 from HLIs respondents, after which they were retrieved, and data were analysed through partial least squares structural equation modeling (PLS-SEM) 3 statistical software. On the basis of the obtained analysis findings, technological, organisational and environmental factors had significant and positive effects on ERP adoption, and ERP adoption had a positive and significant effect on the decision-making of HLIs. The entire factors were found to be significant in their effects, and ERP adoption sufficiently explained variance extracted from decision-making. The study contributes to the literature through the pioneering measurement of factors categorised under technological, organisational and environmental dimensions, with ERP adoption and decision-making encapsulated in a single model.
      Citation: Journal of Information Science
      PubDate: 2022-03-04T04:15:16Z
      DOI: 10.1177/01655515211019703
       
  • Detecting agro: Korean trolling and clickbaiting behaviour in online
           environments

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      Authors: Eun Been Choi, Jisu Kim, Dahye Jeong, Eunil Park, Angel P del Pobil
      Abstract: Journal of Information Science, Ahead of Print.
      This article presents one of the first approaches to provide the understanding of agro (one of the unique eye-attracting cues) headlines and thumbnails in online video sharing platform, YouTube. We annotated 1881 headlines and thumbnails, based on agro and the type of agro. Then, we experimented with machine learning models to classify agro data from the non-agro data. With a bidirectional long short-term memory (Bi-LSTM) model, we achieved 84.35% of accuracy in detecting agro headlines and 82.80% of accuracy in detecting agro thumbnails. We believe that the automatic detection of agro headlines can allow users to have better experience in browsing through and getting the content that they want online.
      Citation: Journal of Information Science
      PubDate: 2022-02-25T12:09:39Z
      DOI: 10.1177/01655515221074325
       
  • Collaboration of issuing agencies and topic evolution of health
           informatisation policies in China

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      Authors: Wenli Zhang, Rui Yao, Richard Evans, Wenjing Huang, Guang Cao, Lining Shen
      Abstract: Journal of Information Science, Ahead of Print.
      Digital transformation in the Chinese healthcare industry has led national government agencies to issue a series of policies to guide the construction of health informatisation. However, little is known about the issuing agencies and the topics of health informatisation policies. This study aimed to explore the collaboration of policies issuing and the evolution of policy topics. In this study, a total of 156 policy documents were identified. Author–Topic model and pre-discretised method based on Latent Dirichlet Allocation model were employed to mine the correlation between the issuing agencies and policy topics, and the evolution of policy contents. Findings suggest that the development of health informatisation policies can be divided into three stages. The number of policies has been increasing constantly, among which the policy of opinion and notification accounts for the vast majority. Many government agencies are involved in formulating policies collaboratively. On the whole, the topics changed constantly over time. From 2003 to 2008, policy topics focused on standards and specifications, with the phenomenon of splitting and development. From 2009 to 2014, policies were predominantly related to the construction of regional health informatisation, with some emerging topics generating. Internet + medical and new information technology gained attention from 2015 to 2020; most topics in this period were inherited, split or merged from the previous period. This study is helpful to research and formulation of the health informatisation-related policies.
      Citation: Journal of Information Science
      PubDate: 2022-02-24T09:40:33Z
      DOI: 10.1177/01655515221074323
       
  • The impact of social noise on social media and the original intended
           message: BLM as a case study

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      Authors: Nayana Pampapura Madali, Manar Alsaid, Suliman Hawamdeh
      Abstract: Journal of Information Science, Ahead of Print.
      Social media has become a platform for information diffusion, voicing concerns of existing inequalities and raising public awareness of various social and societal issues. Despite the social good, social media has become a fertile ground for spreading misinformation, hate speech and conspiracy theories. The death of George Floyd in May 2020 triggered a series of protests worldwide in support of the Black Lives Matter (BLM) movement and triggered a debate about equity, inclusion and social justice. The purpose of this study is to examine the impact of misinformation and social noise on the original intended message of BLM using data from the Twitter hashtag ‘BLM’. Results from topic modelling have shown the strong presence of misinformation and social noise. Such information was most probably intended to influence, mislead and dilute the original intended message. However, despite the effort to distort the original message of BLM, results from sentiment analysis show that users’ opinions of the BLM movement remained positive.
      Citation: Journal of Information Science
      PubDate: 2022-02-23T11:41:53Z
      DOI: 10.1177/01655515221077347
       
  • Exploring the topic evolution of Dunhuang murals through image
           classification

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      Authors: Ziming Zeng, Shouqiang Sun, Tingting Li, Jie Yin, Yueyan Shen, Qian Huang
      Abstract: Journal of Information Science, Ahead of Print.
      Dunhuang is a unique art treasure and a world heritage site. In order to organise and manage Dunhuang cultural heritage resources, this article studies the classification of Dunhuang murals in different dynasties, and explores the topic distribution characteristics and evolution rules of them. First, image features are extracted through scale-invariant feature transform (SIFT) and Canny and scale-invariant feature transform (CSIFT), a visual dictionary is generated through the k-means clustering algorithm, and the term frequency–inverse document frequency (TF-IDF) vector is calculated and combined with the colour feature vector extracted via hue, saturation and value (HSV). Second, Dunhuang mural images are collected and the support vector machine (SVM) classifier is built. Finally, the knowledge graph-based topic maps are constructed, and graph theory is introduced to analyse the topic distribution and evolution of Dunhuang murals in different dynasties. The results show that the Dunhuang murals of different dynasties can be effectively classified through the bag of words, HSV and support vector machine (BOW_HSV_SVM) based on their visual features. Through topic maps, the topic distribution characteristics and evolution rules of Dunhuang murals with the dynasties are revealed.
      Citation: Journal of Information Science
      PubDate: 2022-02-23T11:40:12Z
      DOI: 10.1177/01655515221074336
       
  • Gender differences in citation sentiment: A case study in life sciences
           and biomedicine

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      Authors: Tahereh Dehdarirad, Maryam Yaghtin
      Abstract: Journal of Information Science, Ahead of Print.
      In this study, we investigated whether female and male authors in the field of life sciences and biomedicine differed in their tendency for citation and citation sentiment. The data comprised two sets, cited set and citing set. Cited set comprised 17,237 articles whereas citing set comprised 115,935 articles. The cited set which is from the area Life Sciences & Biomedicine and published during 2012–2016 was retrieved from the Web of Science Medline. The citing set and its citation contexts were retrieved using the Colil database. The analysis was done using a combination of homophily analysis, regression analysis and a chi-square test. The covariates in the regression analyses were features related to authors, journal, institution, country and abstract readability. The homophily analysis showed a significant tendency for female (8%) and male (14%) authorship teams to cite papers by the same gender composition teams. In addition, the results of regression analysis (Model 1) and pairwise comparisons showed that male-authored papers received a significant higher positive sentiment compared with female-authored papers. The results of regression analysis (Model 2) showed a small significant positive association between gender similarity of cited and citing authorship teams and the sentiment score. However, further analysis using the chi-square test showed a significant lower tendency for women to use positive terms when citing the research findings of papers with the same gender composition. Men, in contrast, used significantly more positive terms when citing papers with the same gender composition. Finally, lay summary for a cited paper, country similarity and the venue of cited publication when it was a mega journal had a positive significant association with the sentiment score received.
      Citation: Journal of Information Science
      PubDate: 2022-02-23T11:27:05Z
      DOI: 10.1177/01655515221074327
       
  • Information literacy and research support services in academic libraries:
           A bibliometric analysis from 2001 to 2020

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      Authors: Nusrat Ali, Muhammad Shoaib, Farooq Abdullah
      Abstract: Journal of Information Science, Ahead of Print.
      This article attempted to examine research support services, information services, print collections, digital resources and information literacy using bibliometric analysis from 2001 to 2020. The main aim was to consolidate the published studies on the research support services in academic libraries in the Web of Science (WoS) indexed documents. However, there has been a lack of quantitative measurements on the subject. Thus, we used the bibliometric method and found a total of 4079 published documents. The study findings revealed that the topic of ‘information literacy and library’ was on top with a total number of 2168 publications, 3047 articles as a type of published documents, 3662 publications in English and a considerable increase in publications as per years were found. The top author named Fourie I was found with 106 citations and 22 articles started in 2001. Similarly, the University of Illinois found on top organisations out of 2609, United States on top out of 113 countries and information literacy as a keyword out of 6179. Furthermore, the Journal of Academic Librarianship placed at top of sources out of 726 and the National Institutes of Health NIH USA as a top funding agency.
      Citation: Journal of Information Science
      PubDate: 2022-02-12T06:18:45Z
      DOI: 10.1177/01655515211068169
       
  • COVID-19 effect on the gender gap in academic publishing

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      Authors: Dariusz Jemielniak, Agnieszka Sławska, Maciej Wilamowski
      Abstract: Journal of Information Science, Ahead of Print.
      The authors wanted to verify a popular belief that women scholars have been disproportionately affected by the COVID-19 pandemic. We studied the first names of authors of 266,409 articles from 2813 journals in 21 disciplines, and we found no significant differences between men and women in publication patterns between 2021, 2020, and 2019 overall. However, we found significant differences in publication patterns between gender in different disciplines. In addition, in disciplines where the proportion of women authors is higher, there are fewer single-authored articles. In the multi-author articles if the first author is female, there is more gender balance among authors, although there are still fewer women co-authors.
      Citation: Journal of Information Science
      PubDate: 2022-02-12T06:16:45Z
      DOI: 10.1177/01655515211068168
       
  • TRSAv1: A new benchmark dataset for classifying user reviews on Turkish
           e-commerce websites

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      Authors: Murat Aydoğan, Veysel Kocaman
      Abstract: Journal of Information Science, Ahead of Print.
      The amount of data produced significantly increased with the development of Internet technologies. Accordingly, the importance of natural language processing studies increased, and this topic became one of the most studied artificial intelligence subjects. Even though it is a popular topic that is widely studied on, not enough studies have been conducted on the Turkish language. Even the studies conducted in Turkey are primarily on English and other natural languages instead of Turkish. The lack of a Turkish dataset is the most crucial reason for the lack of studies. Therefore, to create a solution, user reviews on e-commerce websites were collected and labelled reviews as positive, negative and neutral, and a new and unique dataset consisting of 150,000 reviews was created. This dataset was named TRSAv1, which was publicly shared with the researchers will contribute to the Turkish natural language processing studies; however, the effect of different word representation methods on algorithm performance was examined in detail, and the results were compared.
      Citation: Journal of Information Science
      PubDate: 2022-02-10T08:30:53Z
      DOI: 10.1177/01655515221074328
       
  • Agent-based model: A method worthy of promotion in Library and Information
           Science

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      Authors: Peng Su, Meihua Chen, Yanfei Wang
      Abstract: Journal of Information Science, Ahead of Print.
      Agent-based model (ABM) is a branch of artificial intelligence. Its specialty is to construct a complex macro-system model by describing the perception, decision, learning and action of micro-agents. This method is widely used in many fields from natural science to social science. We discuss ABM by collecting relevant academic papers which apply to the field of Library and Information Science (LIS). This article systematically reviews how ABM is applied to the LIS field and argues that ABM can provide an exploratory tool with quantifiability, repeatability, interpretability, contingency, adaptability and other types of advantages. Finally, it is pointed out that this method is a research tool worthy of careful exploration.
      Citation: Journal of Information Science
      PubDate: 2022-02-04T08:55:27Z
      DOI: 10.1177/01655515211061867
       
  • Predictors affecting personal digital information management activities: A
           hierarchical regression analysis

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      Authors: Alia Arshad, Qurat Ul Ain Saleem, Khalid Mahmood
      Abstract: Journal of Information Science, Ahead of Print.
      The study aimed to investigate the influence of demographic characteristics, Internet use, computer knowledge and technology self-efficacy on personal digital information management (PIM) activities – information finding, information keeping, information organising and information re-finding. The design of the study was quantitative and a survey method was used to get the objectives of the study. Three independent institutes of art and design – the Institute of Art and Culture, the National College of Arts and Design and the Pakistan Institute of Fashion and Design – were chosen as the research setting of the study. The population of the study was an academic community of three art and design institutes. The questionnaire was distributed to faculty and students of respective institutes and 229 responses were received after follow-up. The findings of the study indicated that both demographic characteristics and technology-related factors influenced the arts and design academic community’s PIM activities. However, the second set of variables – Internet use, computer knowledge and technology self-efficacy influenced more than demographic variables on PIM activities. Academic role, university and technology self-efficacy appeared significant predictors of all PIM activities. The findings might be helpful for arts and design institutes librarians to make strategies to improve academic community’s personal information management skills. In arts and design institutes, better efficiency in faculty and students’ PIM could be achieved if PIM literacy programmes are designed paying attention to differentials in demographic factors and technology-related factors, as revealed in this study.
      Citation: Journal of Information Science
      PubDate: 2022-02-03T12:14:37Z
      DOI: 10.1177/01655515211072299
       
  • E-reading consumption among Pakistani digital immigrants: A mixed-methods
           approach

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      Authors: Saira Hanif Soroya, Mohsin Abdur Rehman, Iqra Tariq, Almas Khanum, Faiza Bashir
      Abstract: Journal of Information Science, Ahead of Print.
      Digital information adoption among the older generation is becoming interesting, and e-reading consumption is an important phenomenon. The current study explores the e-reading consumption experience among Pakistani generation X readers (Xers) through the theory of planned behaviour (TPB), along with TPB model validation through a larger sample. A mixed-method research design (exploratory sequential) was employed. The study was completed in two phases; the first phase was qualitative based on nine (n = 9) in-depth face-to-face interviews. In the second phase, a quantitative research design was employed. A survey questionnaire was developed based on the TPB model and outcomes of the first phase, and the data were collected from 250 Xers from Pakistani public libraries. The first phase outlined numerous positive consequences and challenges specific to the behavioural beliefs. The circle of friends, colleagues and supervisors encourage e-reading consumption given the benefits, speed, and saver of time, cost, and effort, to name a few. Notably, e-reading consumption intention leaves no alternative for Xers in the digital information era. The results of second phase show that seven out of nine proposed hypotheses were supported significantly H2 (β = 0.33, p = .00), H3 (β = 0.20, p = .02), H4 (β = 0.27, p = .00), H6 (β = 0.22, p = .01), H7 (β = 0.18, p = .03), H8 (β = .28, p = .00) and H9 (β = −0.15, p = .04), whereas H1 (β = −0.03, p = .66) and H5 (β = −0.02, p = .73) were rejected. The current study extends the theoretical foundations of TPB in the age of digital information consumption by exploring dimensions qualitatively and tested that proposed relationship quantitatively from a developing country context, Pakistani Xers.
      Citation: Journal of Information Science
      PubDate: 2022-02-03T12:05:47Z
      DOI: 10.1177/01655515211061868
       
  • Expert-recommended biomedical journal articles: Their retractions or
           corrections, and post-retraction citing

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      Authors: Peiling Wang, Jing Su
      Abstract: Journal of Information Science, Ahead of Print.
      Faculty Opinions has provided recommendations of important biomedical publications by domain experts (FMs) since 2001. The purpose of this study is two-fold: (1) identify the characteristics of the expert-recommended articles that were subsequently retracted and (2) investigate what happened after retraction. We examined a set of 232 recommended, later retracted or corrected articles. These articles were classified as New Finding (43%), Interesting Hypothesis (16%), and so on. More than 71% of the articles acknowledged funding support; the National Institutes of Health, USA (NIH) was a top funder (64%). The top reasons for retractions were Errors of various types (28%); Falsification/fabrication of data, image, or results (20%); Unreliable data, image, or results (16%); and Results not reproducible (16%). Retractions took from less than 2 months to more than 15 years. Only 15% of recommendations were withdrawn either after dissents were made by other FMs or after retractions. Most of the retracted articles continue to be cited post-retraction, especially those published in Nature, Science, and Cell. Significant positive correlations were observed between post-retraction citations and pre-retraction citations, between post-retraction citations and peak citations, and between post-retraction citations and the post-retraction citing span. A significant negative correlation was also observed between the post-retraction citing span and years taken to reach peak citations. Literature recommendation systems need to update the changing status of the recommended articles in a timely manner; invite the recommending experts to update their recommendations; and provide a personalised mechanism to alert users who have accessed the recommended articles on their subsequent retractions, concerns, or corrections.
      Citation: Journal of Information Science
      PubDate: 2022-02-02T10:07:46Z
      DOI: 10.1177/01655515221074329
       
  • #fridaysforfuture – What does Instagram tell us about a social
           movement'

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      Authors: Christoph Herrmann, Sebastian Rhein, Isabelle Dorsch
      Abstract: Journal of Information Science, Ahead of Print.
      Understanding social movement structures is important for political decision-makers to enable them to recognise the various motivating factors behind these movements. The Fridays for Future movement characterises a political group that has a majority of young people, frequently using social media to organise actions. By conducting a social network analysis on hashtags, this study contributes to the understanding of the global Fridays for Future movement. Particularly, we focus on the use and connection of hashtags on Instagram. We collected 59,112 posts tagged with #fridaysforfuture and analysed 91,172 hashtags used therein. Subsequently, the 140 most used hashtags were divided into 11 clusters, which provide not only information about the organisation of the social movement via social media, but also insights into lifestyle-related aspects. The clusters include the topics: climate; nutrition, lifestyle and health; memes; cycling; art; sustainable consumption and the Earth Day. The article shows that the motives of the Fridays for Future movement are broad. We can demonstrate that Fridays for Future is connected to other social movements and gain insights into the everyday life of the Fridays for Future stakeholders.
      Citation: Journal of Information Science
      PubDate: 2022-02-01T09:01:52Z
      DOI: 10.1177/01655515211063620
       
  • Ranking of Iranian medical universities based on altmetric indices

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      Authors: Aboozar Ramezani, Seyed Javad Ghazimirsaeed, Fatemeh Ramezani-Pakpour-Langroudi, Hasan Siamian, Mohammad Hossein YektaKooshali, Ahmad Papi, Kobra Aligolbandi
      Abstract: Journal of Information Science, Ahead of Print.
      This study was aimed at evaluating the Iranian medical universities’ rankings and altmetric indices in ResearchGate and Academia.edu. This cross-sectional analytical study was conducted using a scientometric method. Social networking measures were collected in MS Excel from January to February 2017. Data were analysed using SPSS software and the Spearman, chi-square and Kendall rank coefficient tests. Ranking information and altmetric indices of 50 Iranian medical universities were collected and analysed. All of the type-1 medical universities have been presented in the Academia.edu and ResearchGate social networks. A statistically significant relationship (P 
      Citation: Journal of Information Science
      PubDate: 2022-01-20T05:11:51Z
      DOI: 10.1177/01655515211072300
       
  • KNNHI: Resilient KNN algorithm for heterogeneous incomplete data
           classification and K identification using rough set theory

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      Authors: Ahmed Hamed, Mohamed Tahoun, Hamed Nassar
      Abstract: Journal of Information Science, Ahead of Print.
      The original K-nearest neighbour (KNN) algorithm was meant to classify homogeneous complete data, that is, data with only numerical features whose values exist completely. Thus, it faces problems when used with heterogeneous incomplete (HI) data, which has also categorical features and is plagued with missing values. Many solutions have been proposed over the years but most have pitfalls. For example, some solve heterogeneity by converting categorical features into numerical ones, inflicting structural damage. Others solve incompleteness by imputation or elimination, causing semantic disturbance. Almost all use the same K for all query objects, leading to misclassification. In the present work, we introduce KNNHI, a KNN-based algorithm for HI data classification that avoids all these pitfalls. Leveraging rough set theory, KNNHI preserves both categorical and numerical features, leaves missing values untouched and uses a different K for each query. The end result is an accurate classifier, as demonstrated by extensive experimentation on nine datasets mostly from the University of California Irvine repository, using a 10-fold cross-validation technique. We show that KNNHI outperforms six recently published KNN-based algorithms, in terms of precision, recall, accuracy and F-Score. In addition to its function as a mighty classifier, KNNHI can also serve as a K calculator, helping KNN-based algorithms that use a single K value for all queries that find the best such value. Sure enough, we show how four such algorithms improve their performance using the K obtained by KNNHI. Finally, KNNHI exhibits impressive resilience to the degree of incompleteness, degree of heterogeneity and the metric used to measure distance.
      Citation: Journal of Information Science
      PubDate: 2022-01-11T09:48:26Z
      DOI: 10.1177/01655515211069539
       
  • Essential elements, conceptual foundations and workflow design in
           crowd-powered projects

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      Authors: Celso A S Santos, Alessandro M Baldi, Fábio R de Assis Neto, Monalessa P Barcellos
      Abstract: Journal of Information Science, Ahead of Print.
      Crowdsourcing arose as a problem-solving strategy that uses a large number of workers to achieve tasks and solve specific problems. Although there are many studies that explore crowdsourcing platforms and systems, little attention has been paid to define what a crowd-powered project is. To address this issue, this article introduces a general-purpose conceptual model that represents the essential elements involved in this kind of project and how they relate to each other. We consider that the workflow in crowdsourcing projects is context-oriented and should represent the planning and coordination by the crowdsourcer in the project, instead of only facilitating decomposing a complex task into subtask sets. Since structural models are limited to cannot properly represent the execution flow, we also introduce the use of behavioural conceptual models, specifically Unified Modeling Language (UML) activity diagrams, to represent the user, tasks, assets, control activities and products involved in a specific project.
      Citation: Journal of Information Science
      PubDate: 2022-01-11T09:45:11Z
      DOI: 10.1177/01655515211062466
       
  • Knowledge management activities: Conceptual foundations and research
           issues

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      Authors: William B Edgar, Kendra S Albright
      Abstract: Journal of Information Science, Ahead of Print.
      Knowledge is a broad concept whose epistemological construct has been debated since the days of the early Greek philosophers. Knowledge was discussed extensively during the Renaissance, became a central area of study during the Scientific Revolution and was applied extensively within organisations throughout the Industrial Revolution. Knowledge became an organisational resource of significant interest, emerging over the past 25 years as a unique field of study called knowledge management (KM). Much of the KM literature addresses matters of practice and application; what is missing is a deep and conceptual analysis of the activities that drive KM processes. This article provides a conceptualisation of KM activities focusing on the underlying foundations of these activities. The result is a rich framework of KM activities that can be used to pursue important research areas involved in studying KM processes, including theory development, areas of overlap and where further research is needed.
      Citation: Journal of Information Science
      PubDate: 2022-01-08T08:52:28Z
      DOI: 10.1177/01655515211069538
       
  • The relationship between sentiment score and COVID-19 cases in the United
           States

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      Authors: Truong (Jack) P Luu, Rosangela Follmann
      Abstract: Journal of Information Science, Ahead of Print.
      The coronavirus disease (COVID-19) continues to have devastating effects across the globe. No nation has been free from the uncertainty brought by this pandemic. The health, social and economic tolls associated with it are causing strong emotions and spreading fear in people of all ages, genders and races. Since the beginning of the COVID-19 pandemic, many have expressed their feelings and opinions related to a wide range of aspects of their lives via Twitter. In this study, we consider a framework for extracting sentiment scores and opinions from COVID-19–related tweets. We connect users’ sentiment with COVID-19 cases across the United States and investigate the effect of specific COVID-19 milestones on public sentiment. The results of this work may help with the development of pandemic-related legislation, serve as a guide for scientific work, as well as inform and educate the public on core issues related to the pandemic.
      Citation: Journal of Information Science
      PubDate: 2022-01-08T08:51:10Z
      DOI: 10.1177/01655515211068167
       
 
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