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  1.  8
    The ChatGPT dilemma: unravelling teachers’ perspectives on inhibiting and motivating factors for adoption of ChatGPT.Preeti Bhaskar & Shikha Rana - 2024 - Journal of Information, Communication and Ethics in Society 22 (2):219-239.
    Purpose 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). Design/methodology/approach 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 (...)
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  2.  4
    Responsible living labs: what can go wrong?Abdolrasoul Habibipour - 2024 - Journal of Information, Communication and Ethics in Society 22 (2):205-218.
    Purpose 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. Design/methodology/approach The research methodology involved a literature review complemented by insights from a workshop on defining RLLs. The literature review (...)
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  3.  4
    Unmasking user vulnerability: investigating the barriers to overcoming dark patterns in e-commerce using TISM and MICMAC analysis.Vibhav Singh, Niraj Kumar Vishvakarma & Vinod Kumar - 2024 - Journal of Information, Communication and Ethics in Society 22 (2):275-292.
    Purpose 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). Design/methodology/approach Barriers to overcoming dark patterns were identified from the extant literature and were validated by a panel of 18 domain experts. In (...)
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  4.  8
    Understanding public sentiments and misbeliefs about Sustainable Development Goals: a sentiment and topic modeling analysis.Abhinav Verma & Jogendra Kumar Nayak - 2024 - Journal of Information, Communication and Ethics in Society 22 (2):256-274.
    Purpose 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. Design/methodology/approach 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. Findings The authors found eight emotions, (...)
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  5. Rumours. Who believes them?Runping Zhu, Qilin Liu & Richard Krever - 2024 - Journal of Information, Communication and Ethics in Society 22 (2):240-255.
    Purpose 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 (...)
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