Raiding the inarticulate since 2010

accelerated academy acceleration agency AI Algorithmic Authoritarianism and Digital Repression archer Archive Archiving artificial intelligence automation Becoming Who We Are Between Post-Capitalism and Techno-Fascism big data blogging capitalism ChatGPT claude Cognitive Triage: Practice, Culture and Strategies Communicative Escalation and Cultural Abundance: How Do We Cope? Corporate Culture, Elites and Their Self-Understandings craft creativity critical realism data science Defensive Elites Digital Capitalism and Digital Social Science Digital Distraction, Personal Agency and The Reflexive Imperative Digital Elections, Party Politics and Diplomacy digital elites Digital Inequalities Digital Social Science Digital Sociology digital sociology Digital Universities elites Fragile Movements and Their Politics Cultures generative AI higher education Interested labour Lacan Listening LLMs margaret archer Organising personal morphogenesis Philosophy of Technology platform capitalism platforms populism Post-Democracy, Depoliticisation and Technocracy post-truth psychoanalysis public engagement public sociology publishing Reading realism reflexivity scholarship sexuality Shadow Mobilization, Astroturfing and Manipulation Social Media Social Media for Academics social media for academics social ontology social theory sociology technology The Content Ecosystem The Intensification of Work The Political Economy of Digital Capitalism The Technological History of Digital Capitalism Thinking trump twitter Uncategorized work writing zizek

Does social media make young people unhappy?

My notes on Orben, A. & Dienlin, T. & Przybylski, A.K. (2019). Social media’s enduring effect on adolescent life satisfaction. Proceedings of the National academy of Sciences

Does social media make young people unhappy? This is the question which this paper by Amy Orbena, Tobias Dienlinc and Andrew K. Przybylskia addresses using the Understanding Society (the UK Household Longitudinal Study) data from 2009–2016. They caution that most responses to this question have been synchronic, comparing different people at the same point in time in order to draw conclusions about something that necessarily relates to the person over time. They offer their study against a background where “trivial trends are routinely overinterpreted by those under increasing pressure to rapidly craft evidence-based policies” (1).

The longitudinal data concerning 10- to 15-y olds (n=12,672) means that within person questions can be asked of the data. They produced a range of models working with different subgroups, exploring the statistical relationship between self-reported hours spent using social media (“on a normal school day”) and different areas of reported life satisfaction (Friends, Appearance, School, Work, Life, Family, Mean). For male adolescents social media predicted “tenuous” (does this mean extremely small…?) decreases in satisfaction with life and mean satisfaction. For female adolescents it was “a predictor of slightly de- creased life satisfaction across all domains, except satisfaction with appearance” (3). Most of the effects they found are trivial and were not statistically significant in over half of the models. They recognise the limitations of self report data but in the absence of social media firms “sharing granular user engagement data and participating in large-scale team-based open science” (2) the best datasets we have are similarly reliant upon self report.