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Authors:IGI Global Abstract: Authors : Tarun Jain (Manipal University Jaipur, India), Horesh Kumar (G.L. Bajaj Institute of Technology and Management, Greater Noida, India), Payal Garg (G.L. Bajaj Institute of Technology and Management, Greater Noida, India), Abhinav Pillai (Manipal University Jaipur, India), Aditya Sinha (Manipal University Jaipur, India), Vivek Kumar Verma (Manipal University Jaipur, India) Volume/Issue: 13/1 ISSN: 2155-7136 EISSN: 2155-7144
DOI : 10.4018/IJCBPL.330131 Date Posted: 9/12/2023 12:00:00 AMNewspapers are a rich informational source. A headline of an article sparks an interest in the reader. So, news providing agencies tend to create catchy headlines to attract the reader's attention onto them, and this is how sarcasm manages to find its way into news headlines. Sarcasm employs the use of words that carry opposite meaning with respect to what needs to be conveyed. This leads to the need of developing methods by which we can correctly predict whether a piece of text, or news for that matter, truthfully means what it says or is simply being sarcastic about it. Here, the authors have used a dataset containing 55,329 tuples consisting of news headlines from The Onion and the Huffington Post, which was taken from Kaggle, on which they applied feature extraction techniques such as Count Vectorizer, TF-IDF, Hashing Vectorizer, and Global Vectorizer (GloVe). Then they applied seven classifiers on the obtained dataset. The experimental results showed that the highest accuracies among the ML models were 81.39% for LR model with Count Vectorizer, 79.2% for LR model with TF-IDF Vectorizer, and 78% for SVM model with Count Vectorizer. They also obtained the best accuracy of 90.7% using the Bi-LSTM Deep Learning Model. They have trained the seven models and compared them based on their respective accuracies and F1-Scores.This article is available on IGI Global’s premier research database, InfoSci-Journals. To obtain a copy of this article, click here. For more information about the International Journal of Cyber Behavior, Psychology and Learning (IJCBPL) click here. PubDate: Tue, 12 Sep 2023 00:00:00 GMT
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DOI : 10.4018/IJCBPL.330133 Date Posted: 9/12/2023 12:00:00 AMThe relationship between the obsessive-compulsive disorder and the gaming disorder is investigated. A total of 345 undergraduates completed a survey that included demographic information, responses to the obsession-compulsive inventory-revised scale and the internet gaming disorder test. While initial findings showed the obsessive-compulsive disorder can predict the gaming disorder, deeper probe carried the potential of changing how this relationship is conceptualized. Only the checking subtype predicted the internet gaming disorder within the disordered gaming group. A corollary to this finding is that symptoms of the checking subtype of the compulsions component can predict having gaming disorder. Also, there was a significant strong association between a counting symptom and the internet gaming disorder scores of the disordered gaming group. This study indicated that the identified significant impact of the obsessive-compulsive disorder on the gaming disorder is rooted in shared mental functions by a gamer.This article is available on IGI Global’s premier research database, InfoSci-Journals. To obtain a copy of this article, click here. For more information about the International Journal of Cyber Behavior, Psychology and Learning (IJCBPL) click here. PubDate: Tue, 12 Sep 2023 00:00:00 GMT
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Authors:IGI Global Abstract: Authors : Priya Singh (Brainware University, India), Prabhas Bhardwaj (Indian Institute of Technology (BHU), India), Sushil Kumar Sharma (Indian Institute of Technology (BHU), India), Anil Kumar Agrawal (Indian Institute of Technology (BHU), India) Volume/Issue: 13/1 ISSN: 2155-7136 EISSN: 2155-7144
DOI : 10.4018/IJCBPL.330132 Date Posted: 9/11/2023 12:00:00 AMScreen media technologies (SMTs) has become an essential part of human life and almost everybody, irrespective of their age group, uses one or the other screen media technologies. Increased dependency on SMTs is raising concerns over their ill effect on the psychological health of its users. The present work aims to study the impact of social media usage and laptop/computer on psychological and physical health. This is a cross-sectional study of the middle management employees of a major Indian telecom organization. The analyses were carried out using structural equation modelling (SEM) approach. Results suggested that neck pain is directly related to cognitive stress, somatic stress, and laptop/computer usage. Cognitive stress was indirectly related to Instagram and WhatsApp use. Behavioural stress had no direct or indirect relationship with social media or laptop/computer use. Using a laptop/computer is found to be the most critical factor contributing to neck pain in Indian middle-aged adults working in an office environment.This article is available on IGI Global’s premier research database, InfoSci-Journals. To obtain a copy of this article, click here. For more information about the International Journal of Cyber Behavior, Psychology and Learning (IJCBPL) click here. PubDate: Mon, 11 Sep 2023 00:00:00 GMT
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Authors:IGI Global Abstract: Authors : Yasmina Tichabet (Université de Ghardaia, Algeria) Volume/Issue: 13/1 ISSN: 2155-7136 EISSN: 2155-7144
DOI : 10.4018/IJCBPL.329598 Date Posted: 9/1/2023 12:00:00 AMThis study aimed at investigating the potential effect of emotional regulation on the medical staff in Algerian hospitals. A cross-sectional approach based on survey design was used in this study in order to answer the research questions. Data were collected by a questionnaire administered to a sample consisting of 153 randomly selected medical staff working at Algerian hospitals. The results revealed that the risk of COVID-19 transmission affected the emotional regulation of the medical staff in Algerian hospitals. It was also found that there were differences among participants in their emotional regulation that could be attributed to the variables of profession and workplace. The results highlighted the contributions of the positive and negative emotional regulation strategies, profession, and workplace as mediating variables in predicting the emotional regulation of medical staff. The results have important implications for how best to help the medical staff fulfill their emotions, thus being better qualified for the response to the COVID-19 pandemic.This article is available on IGI Global’s premier research database, InfoSci-Journals. To obtain a copy of this article, click here. For more information about the International Journal of Cyber Behavior, Psychology and Learning (IJCBPL) click here. PubDate: Fri, 01 Sep 2023 00:00:00 GMT
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Authors:IGI Global Abstract: Authors : Kavya Sharma (Symbiosis Centre for Information Technology, Symbiosis International University (Deemed), India), Krishna Kumar Singh (Symbiosis Centre for Information Technology, Symbiosis International University (Deemed), India) Volume/Issue: 13/1 ISSN: 2155-7136 EISSN: 2155-7144
DOI : 10.4018/IJCBPL.327867 Date Posted: 8/11/2023 12:00:00 AMDue to the rise in digital activity of students as well as increased social media presence, the lack of regulation of platforms has given rise to another form of bullying, popularly known as cyberbullying. Cyberbullying is one of the most adverse issues prevalent in schools nationwide. Cyberbullying refers to bullying that happens over any web-interfaced or electronic platform. It is an activity that significantly affects the mental and physical health of its victims. With increased secrecy, the frequency and propagation of cyberbullying remain high due to the information technology infrastructure available today. Understanding cyberbullying trends and preventing them, using suitable machine learning algorithms, could help numerous school students lead better lives, as well as make better decisions, which help them grow and flourish into capable future leaders. Hence, the authors' aim for this research paper is to focus on adolescent girls using various tools and techniques like text analytics and image analytics. For this paper, the authors study a sample of netizens. The location where the analysis is conducted is New Delhi, and the real-world data is extracted from Twitter in English. The real-world data is extracted using appropriate data mining algorithms to find hidden patterns and then conduct the analyses required to understand the psychology of girls and boys and the tonality and voice of the tweets/posts. This is done from the open-source information available on the platform (Twitter) from tweets by the users. There is little to no bias as the entire process can be automated; hence, tweets will be filtered or flagged based on data. Such a method allows one to get access to unbiased data. Bias, in this case, can be defined as prejudice in action and response received from a participant. The results are then analysed using polarity and subjectivity. Understanding psychology and personality traits helps in drawing insights from the expressions collected. The authors will be studying the sample bios, likes, and comments of the sample using a lexical and syntactical approach. Six thousand top tweets are extracted, and the 15 tweets which score the highest on polarity and subjectivity values are taken for further analysis. The tweets are filtered based on 16 responses from a focus group filtering the 20 most popular profane words. Since the data is extracted using Twitter (i.e., a secondary data source), the authors address the gap in current psychological analyses. In such studies, one usually circulates questionnaires to understand the participant, but, for this research though, the authors will be studying the data without bringing the concerned individual into play, thereby eliminating the human bias, which is a significant limitation of gathering responses through a questionnaire. There is increased scope for further streamlining the model. The inferences include understanding the regulation of a social media platform, the degree of aggression on the platform, and an effort to distinguish those who cause such aggression.This article is available on IGI Global’s premier research database, InfoSci-Journals. To obtain a copy of this article, click here. For more information about the International Journal of Cyber Behavior, Psychology and Learning (IJCBPL) click here. PubDate: Fri, 11 Aug 2023 00:00:00 GMT
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Authors:IGI Global Abstract: Authors : Bahri Baran Koçak (Dicle University, Turkey) Volume/Issue: 13/1 ISSN: 2155-7136 EISSN: 2155-7144
DOI : 10.4018/IJCBPL.324086 Date Posted: 6/9/2023 12:00:00 AMManagers gain new insights into how operational benefits can be achieved. Forecasting problems for passenger flow in airports are gaining interest among marketing researchers, but comparison of stochastic optimisation methods via deep learning forecasts with search query data is not yet available in the aviation field. To fill this gap, the current study predicts the demand of Madrid airport demand with Google search query data using H2O deep learning method. The findings indicate that there is a long-term relationship between search queries and actual passenger demand. Besides, search queries “fly to madrid,” and “flights to madrid spain” were found to be the cause of the actual domestic air passenger demand in Madrid. Also, to determine the best forecasting accuracy, stochastic gradient descent (SGD) optimisers were used. Specifically, findings indicate that Adam is a better optimiser increasing forecasting accuracy for Madrid airports.This article is available on IGI Global’s premier research database, InfoSci-Journals. To obtain a copy of this article, click here. For more information about the International Journal of Cyber Behavior, Psychology and Learning (IJCBPL) click here. PubDate: Fri, 09 Jun 2023 00:00:00 GMT
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Authors:IGI Global Abstract: Authors : Anantha Ubaradka (Indian Institute of Technology, Indore, India), Ayesha Fathima (Kristu Jayanti College (Autonomous), India), Shreya Batra (Kristu Jayanti College (Autonomous), India) Volume/Issue: 13/1 ISSN: 2155-7136 EISSN: 2155-7144
DOI : 10.4018/IJCBPL.324089 Date Posted: 6/9/2023 12:00:00 AMThe recent burgeon on social media usage has contributed to much research examining the role of enmeshing psychological and psychosocial factors. Concerning the existing scenario, this study investigates the networking between narcissism, self-esteem and perfectionistic self-presentation among Facebook and Instagram users. Perfectionistic self-presentation is a major constituent of young people's identity development and may intensify during the transition to college. Against this backdrop, the study was conducted on 578 Indian students who belonged to the age range of 18-24 years. The result showed that perfectionistic self-presentation was predicted by self-esteem, narcissism, and intense usage of Instagram. The result also divulged the current trend and proclaimed that Instagram is a major online platform where perfectionistic self-presentation is portrayed to salvage the deflated self-esteem.This article is available on IGI Global’s premier research database, InfoSci-Journals. To obtain a copy of this article, click here. For more information about the International Journal of Cyber Behavior, Psychology and Learning (IJCBPL) click here. PubDate: Fri, 09 Jun 2023 00:00:00 GMT
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Authors:IGI Global Abstract: Authors : Vandana Shukla (University of Allahabad, India), Sangita Srivastava (University of Allahabad, India) Volume/Issue: 13/1 ISSN: 2155-7136 EISSN: 2155-7144
DOI : 10.4018/IJCBPL.324090 Date Posted: 6/9/2023 12:00:00 AMIn the modern era social media (SM) plays a vital role in everyone's life; there are many challenging issues and problems in social media (SM). Among them, self-esteem (SE) and body image (BI) analysis of behavior are major concerns in this area. Therefore, in this article a data-driven model is proposed to analyze social networking sites affect the different attributes of teenage girls. In the current era, the key source of information is social media (SM) which targets different features such as body image (BI), self-esteem (SE), etc., among individuals. For this purpose, the authors perform data collection, cleaning, and data processing; then they apply an artificial intelligence technique to investigate the effect of social media (SM) among teenage girls.This article is available on IGI Global’s premier research database, InfoSci-Journals. To obtain a copy of this article, click here. For more information about the International Journal of Cyber Behavior, Psychology and Learning (IJCBPL) click here. PubDate: Fri, 09 Jun 2023 00:00:00 GMT
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Authors:IGI Global Abstract: Authors : Simon Vrhovec (University of Maribor, Slovenia), Damjan Fujs (University of Ljubljana, Slovenia) Volume/Issue: 13/1 ISSN: 2155-7136 EISSN: 2155-7144
DOI : 10.4018/IJCBPL.324085 Date Posted: 6/8/2023 12:00:00 AMThis study aims to explore the relations between perceptions about government and social media providers, and protection motivation of social media users. A survey was conducted among students at a public university in Slovenia (N=276). The results of PLS-SEM analysis indicate that fear of government intrusions is associated with both perceived threat and privacy concern. This establishes the perceptions about government as important factors related to both privacy concern and threat appraisal according to protection motivation literature. Non-significant relations between trust in internet service provider, and perceived threat and privacy concern indicate that social media users may not consider them as relevant cyberspace actors capable of threatening their privacy on social media. The results also suggest that trust in social media providers moderates the association between privacy concern and protection motivation. Privacy concern appears to be related to protection motivation only if trust in social media provider is high.This article is available on IGI Global’s premier research database, InfoSci-Journals. To obtain a copy of this article, click here. For more information about the International Journal of Cyber Behavior, Psychology and Learning (IJCBPL) click here. PubDate: Thu, 08 Jun 2023 00:00:00 GMT
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Authors:IGI Global Abstract: Authors : Gilbert Macalanda Talaue (Royal Commission of Jubail, Saudi Arabia & Jubail University College, Saudi Arabia & Jubail Industrial College, Saudi Arabia), Ishaq Kalanther (Royal Commission of Jubail and Yanbu, Saudi Arabia & Jubail Industrial College, Saudi Arabia) Volume/Issue: 13/1 ISSN: 2155-7136 EISSN: 2155-7144
DOI : 10.4018/IJCBPL.324087 Date Posted: 6/8/2023 12:00:00 AMThis study aims to determine the associated factors and prevalence of Internet addiction among Jubail University College – Male Branch students. Descriptive cross-sectional method was applied. 171 students participated. Self-administered survey questionnaire was the data-gathering instrument. Young's Internet Addiction Test was used to determine the level of internet usage. Factors associated with high internet consumption are accessibility, boredom, isolation, and extreme weather condition. Covid-19 pandemic changed the way respondents consume internet. It also changed the respondents' sleeping pattern and increases the average internet usage per day. Though the internet played a vital role during Covid-19 pandemic, it also increases the dependency of students on it. Higher number of moderate level internet addiction has been found among respondents. Therefore, it is encouraged that JUC should design a program to address the current situation.This article is available on IGI Global’s premier research database, InfoSci-Journals. To obtain a copy of this article, click here. For more information about the International Journal of Cyber Behavior, Psychology and Learning (IJCBPL) click here. PubDate: Thu, 08 Jun 2023 00:00:00 GMT
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DOI : 10.4018/IJCBPL.324088 Date Posted: 6/8/2023 12:00:00 AMThe uncertainties surrounding the COVID-19 pandemic and frequently changing information about the virus heighten the potentials cyberchondria. This study investigated the prevalence and predictors of cyberchondria among Nigerians during the COVID-19 pandemic. Participants (n=406, 268 males, Mage = 37.68 years, SD = 10.78) completed an online survey consisting of validated measures of cyberchondria, health anxiety, neuroticism, quality of life, medical history, and socio-demographic information. Participants (Mscore= 27.44±7.31) reported moderate to high levels of cyberchondria. Results of hierarchical regression showed that although all predictor variables collectively predicted cyberchondria with 22% of explained variance, the strongest predictors of cyberchondria were health anxiety and the number of prior hospital visits. Reducing the level of cyberchondria during the COVID-19 pandemic requires the ability to deal with health-related fear and effectively managing the uncertainties surrounding online health information.This article is available on IGI Global’s premier research database, InfoSci-Journals. To obtain a copy of this article, click here. For more information about the International Journal of Cyber Behavior, Psychology and Learning (IJCBPL) click here. PubDate: Thu, 08 Jun 2023 00:00:00 GMT
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Authors:IGI Global Abstract: Authors : Tansif Ur Rehman (University of Karachi, Pakistan), Sajida Parveen (Karachi Institute of Economics and Technology, Pakistan), Mehmood Ahmed Usmani (University of Karachi, Pakistan), Muhammad Ahad Yar Khan (University of Karachi, Pakistan) Volume/Issue: 13/1 ISSN: 2155-7136 EISSN: 2155-7144
DOI : 10.4018/IJCBPL.324091 Date Posted: 6/8/2023 12:00:00 AMSeveral thousand organized groups, as well as gangs, are dedicated to cybercrime. The potential rewards for cybercrime can be immense, even for relatively simple crimes. The rapid advancement of technology means that cybercrime is constantly evolving, making it difficult to define and predict. While some may believe cybercrime to be the work of individual lone actors, the reality is quite different. Today, there are thousands of groups dedicated to cybercrime, attracted by its potential rewards. The pace of cybercrime globally is increasing rapidly, and resolving cybercrime is often more challenging than traditional crimes. Authorities worldwide receive thousands of complaints daily, and cybercriminals are becoming increasingly innovative, organized, and sophisticated. They work hard to uncover new vulnerabilities and avoid detection while consumers remain unaware of the risks. With the rapid expansion of ICTs, cybercriminals have unique opportunities to exploit, and the full extent of the dangers is still largely unknown.This article is available on IGI Global’s premier research database, InfoSci-Journals. To obtain a copy of this article, click here. For more information about the International Journal of Cyber Behavior, Psychology and Learning (IJCBPL) click here. PubDate: Thu, 08 Jun 2023 00:00:00 GMT
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Authors:IGI Global Abstract: Authors : Swit Yie Chong (Universiti Tunku Abdul Rahman, Malaysia), Gengeswari Krishnapillai (Universiti Tunku Abdul Rahman, Malaysia), Yee-Lee Chong (Universiti Tunku Abdul Rahman, Malaysia) Volume/Issue: 13/1 ISSN: 2155-7136 EISSN: 2155-7144
DOI : 10.4018/IJCBPL.324092 Date Posted: 6/8/2023 12:00:00 AMMassive open online courses (MOOC) are a platform where learners and instructors share information, knowledge, and skills. This study focuses on working adults as target respondents were not categorised by age or class in past studies and bridging the gap between UX and self-regulated learning (SRL). SDT is fulfilled by autonomy, relatedness, and competence. UX is represented by Martin's 10 characteristics and continuous intention (CI) by Knowles. The learner's motivation factors are independence, communication skills, and job specification. This (pilot) study employs a quantitative approach from 20 working adults and is analysed via PLS-SEM. The learner's motivation factors and SRL are relevant to the study's framework. Additionally, the structured model demonstrates a strong relationship between UX and CI. The limitation is generalising the findings as a small sample size was used (common for pilot studies). This study is deemed useful to indicate the working adult's motivation toward their MOOC's UX and CI.This article is available on IGI Global’s premier research database, InfoSci-Journals. To obtain a copy of this article, click here. For more information about the International Journal of Cyber Behavior, Psychology and Learning (IJCBPL) click here. PubDate: Thu, 08 Jun 2023 00:00:00 GMT
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