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Design Implications for a Social and Collaborative Understanding of online Information Assessment Practices, Challenges and Heuristics

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European Society for Socially Embedded Technologies (EUSSET)

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The broader adoption of social media platforms (e.g., TikTok), combined with recent developments in Generative AI (GAI) technologies has had a transformative effect on many peoples’ ability to confidently assess the veracity and meaning of information online. In this paper, building on recent related work that surfaced the social ways that young people evaluate information online, we explore the decision-making practices, challenges and heuristics involved in young adults’ assessments of information online. To do so, we designed and conducted a novel digital diary study, followed by data-informed interviews with young adults. Our findings uncover the information practices of young adults including the social and emotional motivations for ignoring, avoiding, and engaging with online information and the ways this is entangled with collaborative arrangements with algorithms as agents. In our discussion we bring these findings in close dialogue with work on information sensibility and contribute rich insights into young peoples’ information sensibility practices embedded within social worlds. Finally, we surface how such practices are attuned to prioritise wellbeing over convenience or other commonly associated sufficing heuristics.

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Vlachokyriakos, Vasilis; Johnson, Ian; Anderson, Robert; Claisse, Caroline; Zhang, Viana; Briggs, Pamela (2024): Design Implications for a Social and Collaborative Understanding of online Information Assessment Practices, Challenges and Heuristics. Proceedings of 22nd European Conference on Computer-Supported Cooperative Work. DOI: 10.48340/ecscw2024_n04. European Society for Socially Embedded Technologies (EUSSET). EISSN: 2510-2591. Notes. Rimini, Italy. 17 June - 21 June, 2024

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Information assessment, Misinformation, Social Computing, Qualitative Study, Diary Study

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