Dark Sides of AI and Digital Technologies
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Item The Information Systems Perspective on Obsessive Technology Use: Insights and Research Gaps from a Literature Analysis(2025-01-07) Li, Yifan; Cheung, Christy; Lee, Zach W. Y.Research into obsessive technology use has garnered significant attention in the information systems (IS) discipline. Despite this interest, inconsistent conceptualizations, diversity of perspectives, and non-representative samples jointly make a fragmented body of research that is challenging to generalize and comprehend. To consolidate extant knowledge and identify areas for future research, this study performs a literature analysis among 27 identified publications on obsessive technology use to reveal the research trends, focal themes, theoretical underpinnings, methodological approaches, contextual settings, and demographic samples. We then apply social cognitive theory to provide an integrated account of the variables related to obsessive technology use. We finally discuss the key findings and propose directions for future research while noting the limitations.Item Swipe, Like, Repeat: Towards a Fit-based Theory of Implicit Motives in Social Media Addiction(2025-01-07) Jabagi, Nura; Ayouby, Reem; Croteau, Anne-MarieIn this paper, we use motive disposition theory to explore the role that implicit motives play in eliciting social media (SM) addiction. In doing so, we propose that individuals' implicit motives—namely affiliation, power, and achievement—interact with the functionalities of an SM platform to elicit SM use. Through a theoretical literature review, we propose five perceived social media functionalities, namely: sharing, relationships, communication, persona, and presence. We posit that as the fit between one’s implicit motives and a platform’s perceived functionalities increases, the motivation to use the platform increases—a pattern that puts individuals at risk of SM addiction by continuously luring their attention to the platform. We also propose that emotion regulation moderates this relationship. Given rising rates of SM addiction, our theory offers new insights into the technical- and human-factors that put individuals at risk of this dark-side SM phenomenon which can reduce life satisfaction and well-being.Item Understanding the Human Side of False Information(2025-01-07) Park, Robert; Rahrovani, YasserExtant research on false information has mostly taken an objective view where we are sure as to what is true and what is false. This stems from the need for researchers to properly identify false information for analysis. Despite benefits like certainty, the objective view is not necessarily the human user’s experience. Interactions with false information are equifinal black boxes for third-party observers. However, social media users must wade through real-time uncertainty on social media while researchers have certainty after the event. This disparity in experience leads researchers to partial understanding and partial solutions. We draw on difference theory to review false information research via a subjective perspective. A dialectical model is proposed to unpack and explain the subjective human experience of false information and identify future avenues of research.Item The Dark Side of AI Anthropomorphism: A Case of Misplaced Trustworthiness in Service Provisions(2025-01-07) Hasan, Rakibul; Ojala, Arto; Quach, Sara; Thaichon, Park; Weaven, ScottAnthropomorphism, the attribution of human-like traits, qualities, and mental states to non-human agents, is increasingly ubiquitous in artificial intelligence (AI) applications within service provisions. While imbuing anthropomorphism into AI agents enhances user interaction, it also has a dark side that poses significant ethical concerns by potentially causing harm to consumers. In response, our study constructs a framework to explain how anthropomorphic features in AI agents can lead to misplaced trustworthiness among consumers. We adopt a sociotechnical perspective and employ a case study design to achieve this. Our findings hope to advance the social sustainability of AI to promote responsible production and consumption patterns in global service markets.Item Introduction to the Minitrack on Dark Sides of AI and Digital Technologies(2025-01-07) Turel, Ofir; Vaghefi, Isaac; Qahri-Saremi, Hamed