【沖縄県知事選挙】SNS「X」の投稿の約9割は県外から　選挙戦への影響も | 沖縄のニュース｜RBC 琉球放送 (1ページ)

9月13日に投開票される沖縄県知事選挙について、8月の1か月間にSNS「X」で発信された「沖縄県知事選」を含む投稿の9割近くが、県外からの発信とみられることが分かりました。RBCは、SNS分析ツール「ソーシャルイン… (1ページ)

Meta's $17 Billion Settlement is a Bad Deal for Teens and All Social

Meta’s settlement with 52 state attorneys general is a bad deal for all internet users, and especially for teens. In this post, we go through the Settlement’s provisions in detail.

Meta Just Paid Nearly $17 Billion To Make Sure It Gets To Write The Kid Safety Rules For Every Other Social Media Platform

By now you’ve almost certainly heard the news that Meta has settled with 52 state and local Attorneys General who had sued the company in some form or another over child safety on Meta’…

20 shared papers

Hall JA Ten myths about the effect of social media use on well-being J. Med. Internet Res. • Dissing AS et al. Smartphone interactions and mental well-being in young adults: A longitudinal study based on objective high-resolution smartphone data Scand. J. Public Health • Beyens I et al. The effect of social media on well-being differs from adolescent to adolescent Sci. Rep. • Valkenburg PM Social media use and well-being: What we know and what we need to know Curr. Opin. Psychol. • Panova T et al. Is smartphone addiction really an addiction? J. Behav. Addict. • Heffer T et al. The longitudinal association between social-media use and depressive symptoms among adolescents and young adults: An empirical reply to Twenge et al. (2018) Clin. Psychol. Sci. • Stavrova O et al. Does using social media jeopardize well-being? The importance of separating within- from between-person effects Soc. Psychol. Personal. Sci. • Lawrence D et al. Reciprocal relationships between trajectories of loneliness and screen media use during adolescence J. Child Fam. Stud. • Cunningham S et al. Social media and depression symptoms: A meta-analysis Res. Child Adolesc. Psychopathol. • Hall JA et al. Experimentally manipulating social media abstinence: results of a four-week diary study Media Psychol. • Panayiotou M et al. Time spent on social media among the least influential factors in adolescent mental health: preliminary results from a panel network analysis Nat. Ment. Health • Johannes N et al. Objective, subjective, and accurate reporting of social media use: No evidence that daily social media use correlates with personality traits, motivational states, or well-being Technol. Mind Behav. • Johannes N et al. No effect of different types of media on well-being Sci. Rep. • Meier A et al. Computer-mediated communication, social media, and mental health: A conceptual and empirical meta-review Communic. Res. • Bruce LD et al. Loneliness in the United States: A 2018 national panel survey of demographic, structural, cognitive, and behavioral characteristics Am. J. Health Promot. • Schemer C et al. The impact of Internet and social media use on well-being: A longitudinal analysis of adolescents across nine years J. Comput. Mediat. Commun. • Hall JA et al. Two tests of social displacement through social media use Inf. Commun. Soc. • Hampton KN Social media and change in psychological distress over time: The role of social causation J. Comput. Mediat. Commun. • Steinsbekk S et al. The new social landscape: Relationships among social media use, social skills, and offline friendships from age 10-18 years Comput. Human Behav. • Odgers CL The great rewiring: is social media really behind an epidemic of teenage mental illness? Nature

総務省がグーグルやXなど5社に勧告　情プラ法に基づく報告に不備：朝日新聞

総務省は24日、米グーグルなど5社に対し、インターネット上の誹謗（ひぼう）中傷への対策を定めた「情報流通プラットフォーム対処法」（情プラ法）にもとづく是正勧告をした。悪質な投稿への対応状況などを公表…

The "Majority Illusion" in Social Networks

Individual’s decisions, from what product to buy to whether to engage in risky behavior, often depend on the choices, behaviors, or states of other people. People, however, rarely have global knowledge of the states of others, but must estimate them from the local observations of their social contacts. Network structure can significantly distort individual’s local observations. Under some conditions, a state that is globally rare in a network may be dramatically over-represented in the local neighborhoods of many individuals. This effect, which we call the “majority illusion,” leads individuals to systematically overestimate the prevalence of that state, which may accelerate the spread of social contagions. We develop a statistical model that quantifies this effect and validate it with measurements in synthetic and real-world networks. We show that the illusion is exacerbated in networks with a heterogeneous degree distribution and disassortative structure.

KFF Tracking Poll on Health Information and Trust: Use of Social Media and AI For Health Information and Advice | KFF

This poll finds that about 3 in 10 adults turn to social media for health information and advice at least monthly. Community connection and the need for immediate answers are the top reasons why people are turning to these tools. Slim majorities of those who use social media for health are confident they can tell what is true, and relatively few take steps to check the information they receive.

The Feed Is Fake

That “viral” song, movie, influencer, and celebrity drama you scrolled by recently was likely the result of a stealth marketing campaign.

OSF

Shifts in U.S. Social Media Use, 2020–2024: Decline, Fragmentation, and Enduring Polarization

Using nationally representative data from the 2020 and 2024 American National Election Studies (ANES), this paper describes how U.S. social media use has shifted across platforms, demographics, and politics. Overall platform reach declined, driven by growth in the share of Americans — especially the youngest and oldest cohorts — who report using no social media. Visiting and posting activity on Twitter/X and Facebook have fallen by nearly 50% since 2020, with the decline on Twitter/X driven primarily by reduced participation among Democratic users. While Facebook, YouTube, and Twitter/X lost ground, TikTok and Reddit grew modestly, consistent with a more fragmented digital public sphere. Platform audiences aged and became slightly more educated and racially diverse. Politically, most platforms shifted toward Republican users while remaining, on balance, Democratic-leaning. Twitter/X experienced the largest change: among posters, the partisan balance swung over 70 percentage points from Democrats to Republicans. Across platforms, political posting remains closely tied to affective polarization, as the most partisan respondents are also the most active. As casual users disengage while polarized partisans remain vocal, online discourse becomes narrower and more ideologically extreme.

Echo chambers can emerge without algorithmic personalization or a preference for homogeneity

Online ideological segregation—often described as “echo chambers”—is commonly attributed to algorithmic personalization (“filter bubbles”) or users’ preferences for like-minded environments. We propose a different mechanism. Using a minimal agent-based model, we show that strong segregation can arise even without algorithmic personalization and without users preferring homogeneous environments. Even when users exit communities only after finding themselves almost entirely surrounded by disagreement, cascading exits can push initially mixed communities toward high homogeneity. Once small imbalances arise, feedback between exit and regrouping generates a self-reinforcing process of system-level sorting. Extending the model further reveals that algorithmic personalization can, under some conditions, reduce segregation by lowering dissatisfaction, slowing exit cascades, and stabilizing mixed communities. As an empirical illustration, a longitudinal analysis of the subreddit r/MensRights shows that users whose language is more distant from the community’s evolving semantic center are more likely to exit. Taken together, these findings suggest that echo chambers need not depend on users seeking homogeneous environments or algorithmic personalization alone, but can also emerge from exit dynamics in the interaction structures characteristic of online platforms. More broadly, they show how interventions aimed at individual exposure can produce aggregate dynamics that differ from their intended effects, complicating both scientific and policy debates over online polarization.

Can We Fix Social Media? Testing Prosocial Interventions using...

Social media platforms have been widely linked to societal harms, including rising polarization and the erosion of constructive debate. Can these problems be mitigated through prosocial...

Study: Social media probably can’t be fixed

The [structural] mechanism producing these problematic outcomes is really robust and hard to resolve."

RIP social media. What comes next is messy.

As social media splinters, how can we keep the new online spaces from devolving into toxic pits of despair?

‘Views’ are lies

You might think a “view” means you watched something. You’d be wrong.

Who reposts which media sources? And why this matters for understanding populist politics

In social media, while documenting what gets said is important, understanding who posts which sources to raise their visibility is also key. Katharina Tittel, William Allen, and Pedro Ramaciotti use immigration in France to show how far-right users of X cite sources strategically to achieve their goals

The Real Name Fallacy - Coral by Vox Media

The Coral Project is an open source project to help publishers of all sizes build better communities around their journalism. We’re creating tools that help everyone to feel safe, respected, and heard.