Social Media + Society最新文献

Social Media Platform Repertoires in Everyday Life: Measuring Social Media Use With Passive Metering 日常生活中的社交媒体平台：用被动计量测量社交媒体使用

IF 5.2 1区文学

Social Media + Society Pub Date : 2026-10-17 DOI: 10.1177/20563051261488115

Moreno Mancosu, Mario Quaranta, Fabio Torreggiani

{"title":"Social Media Platform Repertoires in Everyday Life: Measuring Social Media Use With Passive Metering","authors":"Moreno Mancosu, Mario Quaranta, Fabio Torreggiani","doi":"10.1177/20563051261488115","DOIUrl":"https://doi.org/10.1177/20563051261488115","url":null,"abstract":"Social media platforms structure the ways in which billions of citizens access information. Nevertheless, to assess social media time use, most research relies on limited data sources, such as self-reported survey measures or behavioral data from single platforms or convenience samples. Using 6 weeks of passive metering of smartphone and computer activity from a quota sample of Italian adults (18–70, n = 1,457), this study provides a behaviorally measured account of platform-specific social media use across the adult population. We quantify time allocation across Facebook, Instagram, TikTok, YouTube, and Twitter/X and examine how use varies by sociodemographic factors. Results show that Facebook and YouTube dominate everyday social media time, accounting for nearly three-quarters of consumption, while Instagram attracts comparable average time from a narrower user base, and TikTok shows concentrated usage among younger adopters. Twitter/X occupies a marginal niche. Use is overwhelmingly app-based (>90%), a pattern that browser-based measurement cannot capture. Age is the strongest demographic predictor: Gen Z concentrates attention on Instagram and TikTok, while older cohorts favor Facebook; YouTube shows weak demographic patterning. Gender and education are consistent secondary predictors: women devote more time to Facebook, Instagram, and social media overall, and higher education is associated with lower aggregate use and a smaller share on Facebook and TikTok. Employment and income show null effects. Together, these behavioral, cross-platform figures provide a more accurate basis for weighting platforms by their actual audiences than self-reported or single-platform evidence allows.","PeriodicalId":47920,"journal":{"name":"Social Media + Society","volume":"143 1","pages":""},"PeriodicalIF":5.2,"publicationDate":"2026-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149199022","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"文学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Automated Influence: How Social Bots Reshape Discursive Opportunities in Online Activism 自动化影响：社交机器人如何重塑在线行动主义的话语机会

IF 5.2 1区文学

Social Media + Society Pub Date : 2026-10-15 DOI: 10.1177/20563051261490338

Linda Li,Helen Margetts

引用次数: 0

Careful Dis/Connection: Bringing Digital (Inter)Dependent Relations Out From the Shadows of Autonomy 谨慎的分离/连接：将数字（内部）依赖关系从自治的阴影中带出来

IF 5.2 1区文学

Social Media + Society Pub Date : 2026-10-13 DOI: 10.1177/20563051261490645

Sara Van Bruyssel

引用次数: 0

Webs of Ainu Mosir: Indigenous Creative Networks on YouTube Ainu Mosir的网络：YouTube上的土著创意网络

IF 5.2 1区文学

Social Media + Society Pub Date : 2026-10-13 DOI: 10.1177/20563051261487940

Xanat Vargas Meza,Takumi Yokoyama,Chieko Nishimura,Ryohei Nishida,Yoichi Ochiai

引用次数: 0

Algorithms of Injustice: An Ethnographic Content Analysis of Black Youth’s Experiences with Racial Trauma Online 不公正的算法：黑人青年种族创伤经历的民族志内容分析

IF 5.2 1区文学

Social Media + Society Pub Date : 2026-10-13 DOI: 10.1177/20563051261489877

Amanda M. McLeroy,Tiera Tanksley

引用次数: 0

Seeing Is Believing? Most People Struggle to Detect AI-Generated Images 眼见为实？大多数人很难识别人工智能生成的图像

IF 5.2 1区文学

Social Media + Society Pub Date : 2026-10-08 DOI: 10.1177/20563051261483376

Mads Fuglsang Hove, Frederik Hjorth, Yevgeniy Golovchenko, Rebecca Adler-Nissen, Anja Bechmann, Arjen van Dalen, Sara B. Hobolt, Claes de Vreese

{"title":"Seeing Is Believing? Most People Struggle to Detect AI-Generated Images","authors":"Mads Fuglsang Hove, Frederik Hjorth, Yevgeniy Golovchenko, Rebecca Adler-Nissen, Anja Bechmann, Arjen van Dalen, Sara B. Hobolt, Claes de Vreese","doi":"10.1177/20563051261483376","DOIUrl":"https://doi.org/10.1177/20563051261483376","url":null,"abstract":"Generative artificial intelligence (AI) dramatically lowers the costs of creating high-quality, realistic images, allowing a wider range of actors to create and distribute such content on, for instance, social media. A core concern is that easy-to-use generative AI tools can be misused for manipulation through misinformation and microtargeted persuasive material. However, we still need more contextual nuance to a fundamental question: To what degree can people discern photorealistic AI-generated images from authentic images? In a preregistered survey experiment, we find that, on average, people are not substantially better than chance at discerning AI-generated images from authentic images, regardless of the context of the image. While younger people, highly analytical-thinking individuals, and experienced users of generative AI have better discernment abilities, no demographic group other than young individuals (<25) performs substantially better than chance. Contrary to our expectation, we do not find that people’s confidence in their discernment abilities varies depending on the context of the image. As generative AI technology likely advances and the realism of AI-generated images continues to improve, these findings are concerning, as people already struggle to discern between AI-generated and authentic images, even in an experiment where they have been primed and are assessing images of relatively low quality.","PeriodicalId":47920,"journal":{"name":"Social Media + Society","volume":"3 1","pages":""},"PeriodicalIF":5.2,"publicationDate":"2026-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149130340","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"文学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Visibility, Sovereignty, and the Affective Politics of Media: Decolonial Struggles Over Representation and Reception During the 2022 Indigenous Protests in Ecuador 可见性、主权和媒体的情感政治：在2022年厄瓜多尔土著抗议期间，代表和接受的非殖民化斗争

IF 5.2 1区文学

Social Media + Society Pub Date : 2026-09-17 DOI: 10.1177/20563051261462370

Inti Josue Cachipuendo-Contero

{"title":"Visibility, Sovereignty, and the Affective Politics of Media: Decolonial Struggles Over Representation and Reception During the 2022 Indigenous Protests in Ecuador","authors":"Inti Josue Cachipuendo-Contero","doi":"10.1177/20563051261462370","DOIUrl":"https://doi.org/10.1177/20563051261462370","url":null,"abstract":"This article examines how visibility, affect, and epistemic power intersected during the June 2022 Indigenous-led protests in Ecuador, when media became a central terrain of struggle over meaning and legitimacy. Combining multimodal media analysis with ethnographically informed audience research, the study compares three communicative regimes: government, commercial, and Indigenous/community media, to show how each enacted distinct infrastructures of visibility and political intelligibility. Government media constructed visibility as surveillance, framing dissent as a crisis of order through securitized language, ritualized imagery, and affective scripts that moved audiences from fear to reassurance. Commercial broadcasters pursued legitimacy through moderation, translating protest into economic disruption and containing conflict through the aesthetics of balance and procedural neutrality. In contrast, Indigenous/community media operating through platformed livestreams enacted visibility as relational sovereignty, embedding communication within collective action, historical continuity, and participatory verification. Drawing on decolonial media theory and scholarship on affective publics and Indigenous digital activism, the article conceptualizes media as ontopolitical infrastructures that organize not only information but the conditions under which political subjects and truths become recognizable. Reception data from Kichwa-speaking communities demonstrate that Indigenous audiences engaged in collective practices of interpretation, verification, and refusal. Affective responses such as anger and pride functioned as epistemic resources, transforming exposure into critique and reception into communal knowledge-making. The article advances a decolonial reframing of visibility as infrastructure and theorizes reception as epistemic labor sustaining narrative sovereignty.","PeriodicalId":47920,"journal":{"name":"Social Media + Society","volume":"59 1","pages":""},"PeriodicalIF":5.2,"publicationDate":"2026-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148979674","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"文学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

How Definitions Shape Our Understanding of Political Influencers on Social Media 定义如何塑造我们对社交媒体上政治影响者的理解

IF 5.2 1区文学

Social Media + Society Pub Date : 2026-09-15 DOI: 10.1177/20563051261475920

Jennifer Oser, John Wagner, Nir Grinberg

{"title":"How Definitions Shape Our Understanding of Political Influencers on Social Media","authors":"Jennifer Oser, John Wagner, Nir Grinberg","doi":"10.1177/20563051261475920","DOIUrl":"https://doi.org/10.1177/20563051261475920","url":null,"abstract":"Political discourse now circulates through sprawling social media networks where multiple actors wield influence in addition to traditional elites. Yet scholarly conclusions about who actually shapes that discourse diverge because leading studies operationalize “political influencer” in fundamentally different ways. To clarify the stakes of those choices—and advance more coherent theorizing—we examine six definitions that are prevalent in the literature and are rooted in audience size, elite ties, network importance, and message engagement. We then apply these distinctive definitions to a single dataset, namely a panel of 597,815 registered U.S. voters on Twitter during the 2020 presidential campaign to identify convergence and divergence across definitions. Three patterns emerge. First, conceptual boundaries matter: definitions that differ in scale rarely converge on the same influencers, confirming that different lenses reveal largely distinct influencer groups. Second, definitional emphasis reshapes the portrait of influence itself: elite-based criteria surface highly political, centrally positioned senders with compact but engaged followings, whereas follower- and engagement-based criteria net vastly larger, more heterogeneous groups that address politics only episodically. Third, upstream choices about conceptual boundaries and definitional emphases cascade downstream to the characteristics of influencers’ audiences, producing systematic shifts in followers’ age, gender, racial, and partisan characteristics. By showing how conceptual decisions impact both who counts as a political influencer and which citizens follow their messages, this study lays the groundwork for clearer conceptualization of the relevant dimensions for advancing the accumulation of knowledge on this increasingly important political phenomenon.","PeriodicalId":47920,"journal":{"name":"Social Media + Society","volume":"19 1","pages":""},"PeriodicalIF":5.2,"publicationDate":"2026-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148979684","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"文学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

It Doesn’t Take Extremes to Trigger Hate: A Mixed-Methods Study on Meme Extremity and User Comments on 9GAG 不需要极端就能引发仇恨：9GAG上模因极端和用户评论的混合方法研究

IF 5.2 1区文学

Social Media + Society Pub Date : 2026-09-12 DOI: 10.1177/20563051261484469

Antonia Drexel, Ursula Kristin Schmid

{"title":"It Doesn’t Take Extremes to Trigger Hate: A Mixed-Methods Study on Meme Extremity and User Comments on 9GAG","authors":"Antonia Drexel, Ursula Kristin Schmid","doi":"10.1177/20563051261484469","DOIUrl":"https://doi.org/10.1177/20563051261484469","url":null,"abstract":"Users engage with socially and politically relevant topics by sharing memes and adopting the creative styles of meme-sharing platforms like 9GAG. Although memes can contain political critique, research also linked them to hate speech and increasingly extreme content. Little attention has been paid to entertainment-first platforms, where (perceived) homogeneity, anonymity, and humor-driven social norms may shape how political and hateful content is produced and discussed in the comment section. This study addresses this gap using a sequential mixed-methods design. First, we analyzed 343 memes on 9GAG with quantitative content analysis, categorizing them into classes based on varying degrees of extreme content using latent class analysis. Second, via qualitative content analysis, we investigated the comment sections of six memes representing each identified class to determine how extreme content levels influence hateful comments. Results show that anonymity and ingroup identity foster a climate in which hate is normalized and often obscured through humor. However, even purely humorous memes provoked hateful comments, suggesting that factors beyond meme extremity, like topic sensitivity and referenced outgroups, also shape hateful follow-up communication.","PeriodicalId":47920,"journal":{"name":"Social Media + Society","volume":"18 1","pages":""},"PeriodicalIF":5.2,"publicationDate":"2026-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148946853","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"文学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Constructing Online Harms: How “Trust and Safety” Translates Safety Into Risk 构建网络危害：“信任和安全”如何将安全转化为风险

IF 5.2 1区文学

Social Media + Society Pub Date : 2026-09-08 DOI: 10.1177/20563051261459889

Tomás Guarna

引用次数: 0