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Social media use and health risk behaviours in young people: systematic review and meta-analysis.
BMJ
November 2023
1 Medical Research Council/Chief Scientist Office, Social and Public Health Sciences Unit, University of Glasgow, Glasgow, UK.
Objectives: To examine the association between social media use and health risk behaviours in adolescents (defined as those 10-19 years).
Design: Systematic review and meta-analysis.
Data Sources: EMBASE, Medline, APA PsycINFO, SocINDEX, CINAHL, SSRN, SocArXic, PsyArXiv, medRxiv, and Google Scholar (1 January 1997 to 6 June 2022).
To troll or not to troll: Young adults' anti-social behaviour on social media.
PLoS One
May 2023
College of Interdisciplinary Studies, Royal Roads University, Victoria, Canada.
Background: Online anti-social behaviour is on the rise, reducing the perceived benefits of social media in society and causing a number of negative outcomes. This research focuses on the factors associated with young adults being perpetrators of anti-social behaviour when using social media.
Method: Based on an online survey of university students in Canada (n = 359), we used PLS-SEM to create a model and test the associations between four factors (online disinhibition, motivations for cyber-aggression, self-esteem, and empathy) and the likelihood of being a perpetrator of online anti-social behaviour.
Digital Dominance and Social Media Platforms: Are Competition Authorities Up to the Task?
IIC Int Rev Ind Prop Copyr Law
March 2023
LLB (NUS); Adjunct Research Assistant, NUS Law Centre for Asian Legal Studies, Singapore, Singapore.
Social media platforms, as a particular species of digital platforms offering multiple online services and electronic commerce opportunities, have been under increasing scrutiny by competition enforcement agencies in recent years for engaging in allegedly anticompetitive practices. These technology giants have also come under fire for their role in facilitating various anti-social practices that have sowed societal discord and conflict in many different jurisdictions. In this paper, we examine the reasons why undertakings operating in this particular sector of the digital economy have managed to acquire such an exceptional species of "digital dominance" that makes them particularly challenging targets for competition authorities to rein in using conventional competition law frameworks.
View Article and Find Full Text PDFHow Anti-Social Personality Traits and Anti-Establishment Views Promote Beliefs in Election Fraud, QAnon, and COVID-19 Conspiracy Theories and Misinformation.
Am Polit Res
March 2023
Political Science, University of Miami, Coral Gables, FL, USA.
Conspiracy theories and misinformation (CTM) became a salient feature of the Trump era. However, traditional explanations of political attitudes and behaviors inadequately account for beliefs in CTM or the deleterious behaviors they are associated with. Here, we integrate disparate literatures to explain beliefs in CTM regarding COVID-19, QAnon, and voter fraud.
View Article and Find Full Text PDFAnti-social behaviour and economic decision-making: Panel experimental evidence in the wake of COVID-19.
J Econ Behav Organ
February 2023
Centre for Environment, Energy and Natural Resource Governance, Department of Land Economy, University of Cambridge, United Kingdom.
We systematically examine the acute impact of exposure to a public health crisis on anti-social behaviour and economic decision-making using unique experimental panel data from China, collected just before the outbreak of COVID-19 and immediately after the first wave was overcome. Exploiting plausibly exogenous geographical variation in virus exposure coupled with a dataset of longitudinal experiments, we show that participants who were more intensely exposed to the virus outbreak became more anti-social than those with lower exposure, while other aspects of economic and social preferences remain largely stable. The finding is robust to multiple hypothesis testing and a similar, yet less pronounced pattern emerges when using alternative measures of virus exposure, reflecting societal concern and sentiment, constructed using social media data.
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