Hybrid journal * Containing 1 Open Access article(s) in this issue * ISSN (Print) 1477-996X - ISSN (Online) 1758-8871 Published by Emerald[362 journals]
Please help us test our new pre-print finding feature by giving the pre-print link a rating. A 5 star rating indicates the linked pre-print has the exact same content as the published article.
Authors:María-Ángeles Chaparro-Domínguez, Victoria Moreno-Gil, Ruth Rodríguez-Martínez Abstract: Given the considerable challenges posed by disinformation to both society and journalism, how do news media outlets in Hispanic America and Spain address this pervasive global phenomenon' The purpose of this study is to evaluate the extent to which these outlets embrace recommendations from academic, professional and institutional spheres for countering false contents. A qualitative content analysis was used using variables linked to transparency, verification and potential errors incurred. This study comprehensively analyses the ethical codes of 34 digital native outlets spanning 12 Hispanic American countries (Bolivia, Chile, Colombia, Cuba, Ecuador, Guatemala, Honduras, Mexico, Paraguay, Peru, Uruguay and Venezuela), as well as Spain. The key findings reveal significant variations in adherence to the recommended guidelines. Particularly striking is the disparity between compliance with transparency and verification compared to notably higher adherence to measure aimed at rectifying errors. This exploratory study paves the way for further research on additional countries. Ethical codes are a fundamental instrument of media accountability. Nevertheless, their utility in the fight against misinformation has barely been addressed. This study is pioneering in the field of disinformation and ethical codes within digital native media outlets in Hispanic America and Spain. Citation: Journal of Information, Communication and Ethics in Society PubDate: 2024-08-20 DOI: 10.1108/JICES-03-2024-0034 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
Please help us test our new pre-print finding feature by giving the pre-print link a rating. A 5 star rating indicates the linked pre-print has the exact same content as the published article.
Authors:Abdulrazaq Kayode Abdulkareem, Abdulrasaq Ajadi Ishola, Muhammed Lawan Bello, Abdulhakeem Adejumo Abstract: This study aims to investigate the effects of digital overload on job autonomy and job satisfaction among civil servants in the Nigerian public sector using the job demand–resources model. A questionnaire survey was conducted among mid-career and senior-level officers in five federal ministries in Nigeria. The collected data were analyzed by using structural equation modeling partial least squares to test the research hypotheses and necessary condition analysis to assess the necessary conditions for high satisfaction among civil servants. The study reveals that the use of information and communication technology (ICT) has a significant positive impact on digital overload. Furthermore, digital overload has a significant negative effect on job autonomy and adversely affects job satisfaction. Additionally, job autonomy partially mediates the relationship between digital overload and job satisfaction. Job autonomy and ICT use were found to be necessary conditions for high satisfaction. The study acknowledges certain limitations, such as the focus on civil servants in federal ministries in Nigeria and the reliance on self-reported data. The findings of this study have practical implications for policymakers in the Nigerian civil service. They highlight the importance of reducing digital overload and promoting job autonomy to enhance job satisfaction, as well as to improve the overall performance and efficiency of the public sector. This study contributes to the existing literature by providing insights into the detrimental effects of digital overload on civil servants’ job autonomy and satisfaction in the Nigerian public sector. It explores a relatively unexplored aspect of digitalization and emphasizes the need to address the negative implications of digital overload. Additionally, it examines the necessary conditions for high satisfaction among civil servants. Citation: Journal of Information, Communication and Ethics in Society PubDate: 2024-08-13 DOI: 10.1108/JICES-07-2023-0091 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
Please help us test our new pre-print finding feature by giving the pre-print link a rating. A 5 star rating indicates the linked pre-print has the exact same content as the published article.
Authors:Mohd. Abass Bhat, Chandan Kumar Tiwari, Preeti Bhaskar, Shagufta Tariq Khan Abstract: Based on the Unified Theory of Acceptance and Use of Technology (UTAUT) model, this study aims to explore the factors influencing educators’ acceptance and utilization of chat generative pretrained transformer (ChatGPT) in the context of higher educational institutions. This study additionally examines the moderating influence of trust on the association between intention and adoption of ChatGPT. A structured questionnaire was disseminated to 1,214 educators following the purposive sampling method. The hypothesized relationships between the extended UTAUT model constructs and ChatGPT adoption were examined using structural equation modeling. The results of this study indicate positive impact of ChatGPT adoption and its use behavior (UB) among educators. Performance expectancy, effort expectancy, hedonic motivation, facilitating conditions and habit have a positive impact on behavior intention to use this tool among educators in higher education institutions, However, the educators intend to use ChatGPT in a personal capacity and are negatively influenced by the social groups. Moreover, behavior intention to adopt ChatGPT has a larger effect on the UB due to the higher involvement of trust. This research adds to the literature on technology adoption by emphasizing the significance of trust in the adoption of emerging technologies, such as big language models. This study’s findings have implications for ChatGPT technology developers, legislators and academics considering the implementation of ChatGPT for teaching and research. This research investigates ChatGPT adoption among higher education educators using the UTAUT model. It emphasizes the role of trust in adoption, highlights key adoption factors and reveals a paradox: educators are personally inclined to use ChatGPT but hesitant due to negative social influence. This study's novelty lies in its focus on trust and its implications for developers, legislators and educators, offering valuable insights for integrating ChatGPT in education. Citation: Journal of Information, Communication and Ethics in Society PubDate: 2024-07-18 DOI: 10.1108/JICES-03-2024-0033 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
Please help us test our new pre-print finding feature by giving the pre-print link a rating. A 5 star rating indicates the linked pre-print has the exact same content as the published article.
Authors:Arman Miri, Akram Karimi-Shahanjarin, Maryam Afshari, Leili Tapak, Saeed Bashirian Abstract: This study aims to investigate the impact of message framing (emotional vs rational) on social media users' ability to accurately detect information and their intention to share messages about the COVID-19 vaccine. Using an experimental design approach, the authors recruited 600 adult participants via a crowdsourcing platform. Participants were randomly assigned to receive emotional or rational messages and their ability to accurately detect information and intention to share messages were assessed. The results showed a significant multivariate effect of message framing on both the detection of accurate information and intention to share (p < 0.001). Participants who received emotional messages demonstrated better performance in the detection and sharing task than those who received rational messages. Gender and age also had significant main effects on the outcomes, with women performing better than men and younger participants performing better than older participants in detecting the accuracy of information. The interaction effects of the independent variables were not statistically significant (p = 0.098). The findings highlight the importance of considering emotional factors in combating the spread of messages about the COVID-19 vaccine on social media. Practitioners responsible for social media content should strengthen the content review mechanism, with an emphasis on screening content with high emotional arousal. Citation: Journal of Information, Communication and Ethics in Society PubDate: 2024-06-25 DOI: 10.1108/JICES-10-2023-0124 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
Please help us test our new pre-print finding feature by giving the pre-print link a rating. A 5 star rating indicates the linked pre-print has the exact same content as the published article.
Authors:Nur Ahammad, Farrah Diana Saiful Bahry, Haslinda Hussaini Abstract: This research aims to develop a conceptual framework that explores the influence of open-source software (OSS) on the sustainability of library services within the context of academic libraries in Bangladesh. The study uses a comprehensive research methodology that includes literature review and analysis to construct a robust conceptual framework. This study investigates the various dimensions of OSS adoption and its impact on library service sustainability. The research findings reveal the critical factors and mechanisms through which OSS can positively affect the sustainability of library services. This study identifies key drivers and challenges associated with the adoption of open-source solutions in the context of Bangladesh academic libraries. The framework developed in this research offers practical insights for academic libraries in Bangladesh seeking to adopt OSS solutions. This study guides how to leverage these technologies to enhance the sustainability of library services in a cost-effective and efficient manner. This study contributes to the academic literature by presenting a novel conceptual framework tailored to the unique context of Bangladesh academic libraries. This study adds value by addressing the specific challenges and opportunities related to OSS adoption and its implications for library service sustainability in this region. Citation: Journal of Information, Communication and Ethics in Society PubDate: 2024-06-25 DOI: 10.1108/JICES-11-2023-0140 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
Please help us test our new pre-print finding feature by giving the pre-print link a rating. A 5 star rating indicates the linked pre-print has the exact same content as the published article.
Authors:Vibhav Singh, Niraj Kumar Vishvakarma, Vinod Kumar Abstract: E-commerce companies use dark patterns to manipulate customer decisions to survive in the crowded online market and make profit. Although some online customers are aware of the dark patterns, they cannot overcome such manipulations. Therefore, the purpose of this study is to identify and model the barriers to overcoming dark patterns using total interpretive structural modeling (TISM). Barriers to overcoming dark patterns were identified from the extant literature and were validated by a panel of 18 domain experts. In the modeling phase, TISM technique was used to identify the relationships between the barriers and assign priority to the barriers. Finally, the barriers were plotted and classified into three categories. User unawareness, trust in brands and normalization of aggressive marketing were found to be the highest priority barriers. Whereas, designer bias, user fatigue, short-term user benefits and design complexity were identified as the most challenging barriers because they have least dependence over the other barriers. Because TISM results are based on the opinion of domain experts, other statistical techniques could be applied for validation. This study would educate online customers, while assisting online user communities and regulatory bodies to devise strategies to overcome dark patterns. Additionally, business managers could use the study’s findings to encourage designers to embrace ethical design methods as a competitive advantage. This study contributes to the research as it is first of its kind to examine the link between dark pattern barriers. Citation: Journal of Information, Communication and Ethics in Society PubDate: 2024-06-10 DOI: 10.1108/JICES-10-2023-0127 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
Please help us test our new pre-print finding feature by giving the pre-print link a rating. A 5 star rating indicates the linked pre-print has the exact same content as the published article.
Authors:Runping Zhu, Qilin Liu, Richard Krever Abstract: While psychology, sociology and communications studies hypothesise a range of independent variables that might impact on individuals’ acceptance or rejection of rumours, almost all studies of the phenomenon have taken place in environments featuring notable, and sometimes very deep, partisan divisions, making it almost impossible to isolate the impact of partisan influences on views on different rumour subjects. This study aims to remove the possibility of partisan influences on readers of internet rumours by testing the impact of independent demographic variables in China, a one-party state with no overt partisan divisions. The study provides an opportunity to strip away the influence of ideology and see whether this factor may have coloured previous studies on susceptibility to believe rumours. An empirical study was used to examine belief in false and true online rumours in a non-partisan environment. A large sample group was presented with rumours across four subject areas and respondents’ conclusions and demographic information was then subject to logistic regression analysis to identify relationships between factors and ability to identify the veracity of online rumours. Unexpectedly, the regression analysis revealed no statistically significant nexus between many independent demographic variables and patterns of believing or disbelieving rumours. In other cases, a statistically significant relationship was revealed, but only to a limited degree. The results suggest that once the role of partisanship in explaining the proliferation of and belief in false rumours and the ability to identify true ones is removed from consideration, no other independent variables enjoy convincing links with rumour belief. The study tests in China, a jurisdiction featuring a non-partisan environment, the impact of independent variables on media users’ belief in a wide range of rumours. Citation: Journal of Information, Communication and Ethics in Society PubDate: 2024-05-08 DOI: 10.1108/JICES-08-2023-0116 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
Please help us test our new pre-print finding feature by giving the pre-print link a rating. A 5 star rating indicates the linked pre-print has the exact same content as the published article.
Authors:Abhinav Verma, Jogendra Kumar Nayak Abstract: Misinformation surrounding the Sustainable Development Goals (SDGs) has contributed to the formation of misbeliefs among the public. The purpose of this paper is to investigate public sentiment and misbeliefs about the SDGs on the YouTube platform. The authors extracted 8,016 comments from YouTube videos associated with SDGs. The authors used a pre-trained Python library NRC lexicon for sentiment and emotion analysis, and to extract latent topics, the authors used BERTopic for topic modeling. The authors found eight emotions, with negativity outweighing positivity, in the comment section. In addition, the authors identified the top 20 topics discussing various SDGs and SDG-related misbeliefs. The authors reported topics related to public misbeliefs about SDGs and associated keywords. These keywords can be used to formulate social media content moderation strategies to screen out content that creates these misbeliefs. The result of hierarchical clustering can be used to devise and optimize response strategies by governments and policymakers to counter public misbeliefs. This study represents an initial endeavor to gain a deeper understanding of the public’s misbeliefs regarding SDGs. The authors identified novel misbeliefs about SDGs that previous literature has not studied. Furthermore, the authors introduce an algorithm BERTopic for topic modeling that leverages transformer architecture for context-aware topic modeling. Citation: Journal of Information, Communication and Ethics in Society PubDate: 2024-04-30 DOI: 10.1108/JICES-05-2023-0073 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
Please help us test our new pre-print finding feature by giving the pre-print link a rating. A 5 star rating indicates the linked pre-print has the exact same content as the published article.
Authors:Preeti Bhaskar, Shikha Rana Abstract: This study aims to address the existing knowledge gap by investigating teachers’ adoption of ChatGPT for educational purposes. The study specifically focuses on identifying the factors that motivate and inhibit teachers in adoption of ChatGPT in higher education institutions (HEIs). This research has used interpretative phenomenological analysis – a qualitative approach. Through in-depth interviews among the teachers, data was collected to identify the motivating and inhibiting factors that impacted teachers’ willingness to adopt ChatGPT. The data was collected from 48 teachers working across HEIs of Uttarakhand region in India. The analysis revealed seven themes under motivating factors that encourage teachers to adopt ChatGPT for their educational purposes. These include time factor, tool for competitive edge, learning enhancement tool for students, research facilitator, benefits in educational settings, troubleshooter and easy to use. On the other hand, inhibiting factors comprise five themes, which include technical difficulties, limited features for educational and research purposes, tool for handicapping innovation and creativity, lack of personal touch and ethical considerations. The findings will be valuable for HEIs in establishing policies that promote the appropriate and effective use of ChatGPT. Moreover, the study provides recommendations to ChatGPT solution providers for improving ChatGPT services for effective adoption of ChatGPT among teachers and implementation at HEIs. Further, it contributes to the body of literature by filling a knowledge gap about teacher adoption of ChatGPT in the HEIs. Through qualitative research, the study has pinpointed specific motivating and inhibiting factors that affect teacher adoption of ChatGPT. Unlike previous studies that primarily explored the potential advantages and drawbacks of ChatGPT in education, this research study delves deeper into the topic. It makes a substantial contribution to our understanding of ChatGPT adoption among teachers by identifying distinct factors that either motivate or inhibit teachers from adopting ChatGPT for job related purposes. The study provides novel insights that were previously mislaid, thereby introducing a fresh perspective to the existing literature Citation: Journal of Information, Communication and Ethics in Society PubDate: 2024-04-30 DOI: 10.1108/JICES-11-2023-0139 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)
Please help us test our new pre-print finding feature by giving the pre-print link a rating. A 5 star rating indicates the linked pre-print has the exact same content as the published article.
Authors:Abdolrasoul Habibipour Abstract: This study aims to investigate how living lab (LL) activities align with responsible research and innovation (RRI) principles, particularly in artificial intelligence (AI)-driven digital transformation (DT) processes. The study seeks to define a framework termed “responsible living lab” (RLL), emphasizing transparency, stakeholder engagement, ethics and sustainability. This emerging issue paper also proposes several directions for future researchers in the field. The research methodology involved a literature review complemented by insights from a workshop on defining RLLs. The literature review followed a concept-centric approach, searching key journals and conferences, yielding 32 relevant articles. Backward and forward citation analysis added 19 more articles. The workshop, conducted in the context of UrbanTestbeds.JR and SynAir-G projects, used a reverse brainstorming approach to explore potential ethical and responsible issues in LL activities. In total, 13 experts engaged in collaborative discussions, highlighting insights into AI’s role in promoting RRI within LL activities. The workshop facilitated knowledge sharing and a deeper understanding of RLL, particularly in the context of DT and AI. This emerging issue paper highlights ethical considerations in LL activities, emphasizing user voluntariness, user interests and unintended participation. AI in DT introduces challenges like bias, transparency and digital divide, necessitating responsible practices. Workshop insights underscore challenges: AI bias, data privacy and transparency; opportunities: inclusive decision-making and efficient innovation. The synthesis defines RLLs as frameworks ensuring transparency, stakeholder engagement, ethical considerations and sustainability in AI-driven DT within LLs. RLLs aim to align DT with ethical values, fostering inclusivity, responsible resource use and human rights protection. The proposed definition of RLL introduces a framework prioritizing transparency, stakeholder engagement, ethics and sustainability in LL activities, particularly those involving AI for DT. This definition aligns LL practices with RRI, addressing ethical implications of AI. The value of RLL lies in promoting inclusive and sustainable innovation, prioritizing stakeholder needs, fostering collaboration and ensuring environmental and social responsibility throughout LL activities. This concept serves as a foundational step toward a more responsible and sustainable LL approach in the era of AI-driven technologies. Citation: Journal of Information, Communication and Ethics in Society PubDate: 2024-03-13 DOI: 10.1108/JICES-11-2023-0137 Issue No:Vol. ahead-of-print, No. ahead-of-print (2024)