Social Science Computer Review最新文献_第4页

Crime and Calculation: The Decision-Making of Dark Web Actors 犯罪与算计：暗网行动者的决策

IF 4.1 2区社会学

Social Science Computer Review Pub Date : 2026-04-08 DOI: 10.1177/08944393261441299

Ekaterina Botchkovar, Olena Antonaccio, Abigail Ballou, David Maimon

引用次数: 0

Contagion Mechanisms and Emotional Group Polarization Outcomes of Online Toxicity: An Information Ecology Perspective 网络中毒的传染机制与情绪群体极化：一个信息生态学的视角

IF 4.1 2区社会学

Social Science Computer Review Pub Date : 2026-04-04 DOI: 10.1177/08944393261437636

Han Luo, Xiao Meng

{"title":"Contagion Mechanisms and Emotional Group Polarization Outcomes of Online Toxicity: An Information Ecology Perspective","authors":"Han Luo, Xiao Meng","doi":"10.1177/08944393261437636","DOIUrl":"https://doi.org/10.1177/08944393261437636","url":null,"abstract":"Drawing on information ecology theory, this study investigates how online toxicity spreads and drives emotional group polarization in Reddit discussions surrounding the Israel–Palestine conflict. Based on a dataset comprising 8,725 posts and 1,628,366 comments, we employ Google’s Perspective API to detect toxic content, BERTopic to extract discussion topics, and a dictionary-based method to measure affective features. The results show that, from the information content perspective, content related to conflict and political topics is more prone to generating toxicity. From the information user perspective, post toxicity reduces the scale of user interaction while simultaneously increasing the level of comment toxicity. Furthermore, the analysis shows that post toxicity provokes comment toxicity by triggering users’ negative or high-arousal emotions, with discrete negative emotions such as anger, sadness, and fear enhancing the positive impact of post toxicity on comment toxicity. From the information environment perspective, the results indicate that post toxicity is not significantly associated with emotional group polarization. Accordingly, post toxicity alone plays a very limited role in explaining emotional group polarization in online discussions. These findings advance our understanding of toxicity dynamics in online environments and offer evidence-based strategies for moderators, platform designers, and policymakers to mitigate harmful discourse and foster healthier online communities.","PeriodicalId":49509,"journal":{"name":"Social Science Computer Review","volume":"49 1","pages":""},"PeriodicalIF":4.1,"publicationDate":"2026-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147611716","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

How Much Data Should I Request? Balancing Richness and Compliance in Digital Trace Data Donations 我应该索取多少资料？平衡数字跟踪数据捐赠的丰富性和遵从性

IF 4.1 2区社会学

Social Science Computer Review Pub Date : 2026-03-31 DOI: 10.1177/08944393261435088

Ernesto de León, Laura Boeschoten, Fabio Votta, Joris Mulder, Bella Struminskaya, Daniel Oberski, Theo Araujo, Claes de Vreese

{"title":"How Much Data Should I Request? Balancing Richness and Compliance in Digital Trace Data Donations","authors":"Ernesto de León, Laura Boeschoten, Fabio Votta, Joris Mulder, Bella Struminskaya, Daniel Oberski, Theo Araujo, Claes de Vreese","doi":"10.1177/08944393261435088","DOIUrl":"https://doi.org/10.1177/08944393261435088","url":null,"abstract":"Digital trace “data donation” studies offer researchers a unique opportunity to collect high-quality behavioral data, but decisions about the scope of requested data can impact both dataset richness and participant compliance. This paper examines the tradeoffs between requesting larger data packages, which include more extensive historical records, and participants’ willingness to donate. In a randomized experiment with Facebook and Instagram data donations, we compare a control condition where participants are asked to request the default 1-year data period to a treatment condition in which they are asked to request data for their entire account history. We analyze how different request sizes affect (1) participants’ compliance rates and (2) the characteristics of the data resulting from these different requests. We find that participants asked to request more data are less likely to complete the task. However, we propose that this is not primarily due to heightened privacy concerns, but rather because these data packages are significantly larger and therefore take longer for the platforms to deliver. This additional time to deliver data packages results in increased attrition. In terms of the effects on the data itself, we show that decisions about the time-span of the data impacts not only the volume of data requested, but also has implications for measurement validity, as the temporal window fundamentally redefines what key constructs represent, potentially transforming intended static indicators into narrow snapshots of recent behavior. We provide guidance for researchers navigating these decisions, considering both the benefits of richer longitudinal data and the risks of reduced participation.","PeriodicalId":49509,"journal":{"name":"Social Science Computer Review","volume":"62 1","pages":""},"PeriodicalIF":4.1,"publicationDate":"2026-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147578410","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

The Black Box, Animated Idols, and Racialization 黑盒子、动画偶像和种族化

IF 4.1 2区社会学

Social Science Computer Review Pub Date : 2026-03-31 DOI: 10.1177/08944393261441295

Lamia Balafrej

引用次数: 0

Evolution of Deep Learning Models for Misinformation Detection in Social Media Textual Data: Background, Architectures, Datasets, and Emerging LLM Applications 社交媒体文本数据中错误信息检测的深度学习模型演变：背景、架构、数据集和新兴法学硕士应用

IF 4.1 2区社会学

Social Science Computer Review Pub Date : 2026-03-27 DOI: 10.1177/08944393261432625

Ziad Elgammal, Reda Alhajj

{"title":"Evolution of Deep Learning Models for Misinformation Detection in Social Media Textual Data: Background, Architectures, Datasets, and Emerging LLM Applications","authors":"Ziad Elgammal, Reda Alhajj","doi":"10.1177/08944393261432625","DOIUrl":"https://doi.org/10.1177/08944393261432625","url":null,"abstract":"With the exponential growth in social media usage, the rapid spread of misinformation has become a critical global challenge. Recent advances in large language models (LLMs) have shown promising potential in automated misinformation detection. This survey provides a comprehensive review of LLM-based approaches for detecting misinformation in textual data on social media platforms. In this work, we analyze 70+ recent papers; to examine the evolution, implementation, and effectiveness of various LLM architectures in this domain. Our analysis reveals that BERT-based models dominate the field, appearing in approximately 85% of studies, with domain-specific variants like CT-BERT demonstrating superior performance in specialized contexts such as COVID-19 misinformation detection. We provide detailed comparisons of model architectures, implementation strategies, and performance metrics across different domains. Additionally, seven major datasets commonly used in this field were analyzed, examining their characteristics, limitations, and suitability for different detection tasks. The survey also addresses key challenges, including linguistic nuances, model interpretability, and ethical considerations. Our findings indicate that while LLM-based approaches achieve impressive accuracy metrics, significant challenges remain in cross-domain generalization and real-time detection. This survey concludes by identifying promising research directions and providing recommendations for robust model evaluation frameworks.","PeriodicalId":49509,"journal":{"name":"Social Science Computer Review","volume":"24 1","pages":""},"PeriodicalIF":4.1,"publicationDate":"2026-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147518769","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Filtering out the Opposition: How Cross-Cutting Discussions Increase Unfriending Through Political Corrections and Insults in Spain and Germany 过滤反对派：跨领域讨论如何在西班牙和德国通过政治纠正和侮辱增加解除朋友关系

IF 4.1 2区社会学

Social Science Computer Review Pub Date : 2026-02-26 DOI: 10.1177/08944393261423174

Manuel Goyanes, Beatriz Jordá

{"title":"Filtering out the Opposition: How Cross-Cutting Discussions Increase Unfriending Through Political Corrections and Insults in Spain and Germany","authors":"Manuel Goyanes, Beatriz Jordá","doi":"10.1177/08944393261423174","DOIUrl":"https://doi.org/10.1177/08944393261423174","url":null,"abstract":"Social media platforms offer ample opportunities for dialogue between both sides of the political spectrum. However, prior research suggests that users sometimes unfriend dissenting voices. While some studies argue that unfriending may lead to homogeneous information environments and potentially to heightened polarization, others indicate that users unfriend to preserve a manageable level of diversity. This study contributes to this literature by examining how cross-cutting discussion is directly and indirectly associated to unfriending through two types of behaviors: being politically corrected, a positive interaction linked to democratic, civic dynamics; and being insulted, a hostile behavior and prominent aspect of online incivility. The findings, based on two cross-sectional surveys conducted in Spain and Germany, showed that cross-cutting discussion is associated to unfriending directly and indirectly through being politically corrected and being insulted for political reasons. We also found no statistically significant differences in the two indirect effects in both countries. Taken together, our findings emphasize that users actively shield themselves from opposing views regardless of whether interactions are deemed as constructive (corrections) or hostile (insults).","PeriodicalId":49509,"journal":{"name":"Social Science Computer Review","volume":"25 1","pages":""},"PeriodicalIF":4.1,"publicationDate":"2026-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147287491","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Online Polarization and Violence in the United States: A Computational Analysis of Viewer Comments on Partisan News Coverage of President Donald Trump’s First Assassination Attempt 美国的网络极化和暴力：对唐纳德·特朗普总统第一次暗杀企图的党派新闻报道的观众评论的计算分析

IF 4.1 2区社会学

Social Science Computer Review Pub Date : 2026-02-17 DOI: 10.1177/08944393261426534

Dennis Ekwemnachukwu Okeke, Margaret Adutwumwaa Boateng, Chibuzor Peter Okpala, Christiana Ibiwoye, Anthony Obi Okeke, Ousman Mbaye, Isaac Ebuka Obah

{"title":"Online Polarization and Violence in the United States: A Computational Analysis of Viewer Comments on Partisan News Coverage of President Donald Trump’s First Assassination Attempt","authors":"Dennis Ekwemnachukwu Okeke, Margaret Adutwumwaa Boateng, Chibuzor Peter Okpala, Christiana Ibiwoye, Anthony Obi Okeke, Ousman Mbaye, Isaac Ebuka Obah","doi":"10.1177/08944393261426534","DOIUrl":"https://doi.org/10.1177/08944393261426534","url":null,"abstract":"This study analyzes 15,000 user comments from ideologically distinct news platforms—Fox News (right-leaning), ABC News (left-leaning), and BBC News (centrist)—to investigate how political ideology shapes emotional expression and engagement following the July 2024 assassination attempt on President Donald Trump in Pennsylvania. We examine whether right-leaning comments exhibit elevated anger and hate speech, whether left-leaning comments show greater empathy and positive affect, and how emotional intensity influences engagement metrics such as likes and shares. Using computational science methods, we trace the evolution of emotional tone and toxicity over time, focusing on affective polarization triggered by a high-salience violent event. Our findings reveal that ideological alignment amplifies engagement with congruent emotional content, reinforcing echo chambers and intensifying online hostility. We address gaps in understanding how ideological echo chambers amplify polarized emotions and online hostility following a high-profile violent event, emphasizing the place of emotions in contemporary political communication and digital news consumption.","PeriodicalId":49509,"journal":{"name":"Social Science Computer Review","volume":"280 1","pages":""},"PeriodicalIF":4.1,"publicationDate":"2026-02-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146210177","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Unmasking Coordination: How Inauthentic Behavior Emerged and Diffusion During the Russia–Ukraine War on Twitter 揭露协调：俄乌战争期间Twitter上的不真实行为是如何出现和扩散的

IF 4.1 2区社会学

Social Science Computer Review Pub Date : 2026-02-17 DOI: 10.1177/08944393261427645

Yanhong Wu, Jianqiang Yu

{"title":"Unmasking Coordination: How Inauthentic Behavior Emerged and Diffusion During the Russia–Ukraine War on Twitter","authors":"Yanhong Wu, Jianqiang Yu","doi":"10.1177/08944393261427645","DOIUrl":"https://doi.org/10.1177/08944393261427645","url":null,"abstract":"This study aims to explain the diffusion pathways of coordinated inauthentic behavior during the Russia–Ukraine conflict. A dataset of 685,491 tweets containing the hashtag #russia on Twitter was used to construct a coordination network based on textual similarity and time synchronicity. By identifying leader-follower relationships, analyzing hourly time slices, and analyzing evolution metrics, four key insights were revealed. First, leaders constitute a stable core with an average of about 1741 nodes while peripheral followers fluctuate substantially, indicating a resilient core-peripheral structure. Second, diffusion advances across multiple fronts rather than remaining within single communities, with 67.05% of leader-follower ties crossing content clusters and the top 30 leaders posting across an average of 7.1 clusters and up to 9. Third, apparent synchronization is not driven by posting density alone but arises from rhythmic coupling between leaders and followers, as followers respond after an average delay of about 30 min and cluster peaks typically occur within less than 1 hour of each other. Fourth, diffusion capacity is not released once and for all but regenerates along a trajectory that moves from concentration to multiploidization and then to restructuring. Based on the results, we conceptualize coordinated inauthentic behavior as a strategically adaptive system with regenerative properties and provide governance implications.","PeriodicalId":49509,"journal":{"name":"Social Science Computer Review","volume":"4 1","pages":""},"PeriodicalIF":4.1,"publicationDate":"2026-02-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146210178","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Effects of Social Media Addiction on Critical Thinking: The Mediating Role of Executive Function 社交媒体成瘾对批判性思维的影响：执行功能的中介作用

IF 4.1 2区社会学

Social Science Computer Review Pub Date : 2026-02-17 DOI: 10.1177/08944393261427642

Mehdi Reza Sarafraz, Nasim Nazari, Aida Peyvandi

{"title":"Effects of Social Media Addiction on Critical Thinking: The Mediating Role of Executive Function","authors":"Mehdi Reza Sarafraz, Nasim Nazari, Aida Peyvandi","doi":"10.1177/08944393261427642","DOIUrl":"https://doi.org/10.1177/08944393261427642","url":null,"abstract":"Recently, social media addiction (SMA) has increased globally. Like other addictions, it can have detrimental effects on individuals. Despite growing concerns, limited research has explored the relationship between SMA and critical thinking (CT) and the mechanisms underlying this connection. Therefore, this study investigated this relationship by focusing on executive function (EF) as a potential mediator. A survey using the Internet Addiction Test-Social Networking Sites (IAT–SNS) version, Critical Thinking Disposition, and Behavior Rating Inventory of Executive Function—Adult Version (BRIEF-A) was conducted with 307 Iranian young adults aged 18 to 40 years (M = 23.35, SD = 4.45; 72.6% female). The findings revealed a significant positive association between executive dysfunction and SMA and a significant negative association between executive dysfunction and CT. Structural equation modeling indicated no direct correlation between SMA and CT; rather, the relationship was mediated by EF, with only the indirect effects via EF being statistically significant. These results suggest that executive dysfunction acts as a risk-enhancing mediator in the relationship between SMA and CT. Further experimental studies are required to gain a more comprehensive understanding of these associations. Interventions should be developed to mitigate the negative effects of SMA on EF and CT.","PeriodicalId":49509,"journal":{"name":"Social Science Computer Review","volume":"94 1","pages":""},"PeriodicalIF":4.1,"publicationDate":"2026-02-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146205087","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Polio Beyond the Drop: Rethinking Vaccine Hesitancy in Urdu Tweets Beyond Western Behavioral Models 小儿麻痹症不再下降：超越西方行为模型反思乌尔都语推文中的疫苗犹豫

IF 4.1 2区社会学

Social Science Computer Review Pub Date : 2026-02-16 DOI: 10.1177/08944393261426533

Muhammad Awais

{"title":"Polio Beyond the Drop: Rethinking Vaccine Hesitancy in Urdu Tweets Beyond Western Behavioral Models","authors":"Muhammad Awais","doi":"10.1177/08944393261426533","DOIUrl":"https://doi.org/10.1177/08944393261426533","url":null,"abstract":"Pakistan is one of the few remaining countries where wild poliovirus remains endemic, despite decades of eradication campaigns. Yet, vaccine hesitancy persists, not merely due to biomedical skepticism but through digital discourse. Drawing on 6,399 Urdu language tweets, this study uses natural language processing and lexicon based modeling to test four hypotheses on the emotional and symbolic drivers of hesitancy. Emotions are operationalized using the NRC Emotion Lexicon, treating trust and fear as measurable affective signals. The findings challenge Western behavioral models such as the Extended Parallel Process Model (EPPM): trust is negatively associated with hesitancy, whereas fear is positively associated with it even when trust is present. Notably, fear’s effect weakens in security framed tweets, which express moral resolve and collective strength rather than panic. Religious framing also predicts hesitancy, but it is often based on misquoted or misinterpreted religious references. In many cases, such discourse misaligns with the actual teachings of the religion, which historically endorse disease prevention and public health. Vaccine hesitancy in this context emerges not as an individual risk judgment, but as a culturally embedded form of communicative resistance, requiring discourse based, context sensitive approaches to global health communication.","PeriodicalId":49509,"journal":{"name":"Social Science Computer Review","volume":"326 1","pages":""},"PeriodicalIF":4.1,"publicationDate":"2026-02-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146205092","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0