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Recently, social media platforms have introduced several measures to counter misleading information. Among these measures are state media labels which help users identify and evaluate the credibility of state-backed news. YouTube was the…

Social and Information Networks · Computer Science 2021-07-16 Samantha Bradshaw , Mona Elswah , Antonella Perini

Several major social media platforms have shifted toward crowdsourced fact-checking systems like Community Notes to combat misinformation at scale. However, these systems face criticism regarding which content is scrutinized and how visible…

Computers and Society · Computer Science 2026-04-21 Yilin Gong , Siqi Wu

The prevalence and impact of toxic discussions online have made content moderation crucial.Automated systems can play a vital role in identifying toxicity, and reducing the reliance on human moderation.Nevertheless, identifying toxic…

Artificial Intelligence · Computer Science 2023-11-02 Senjuti Dutta , Sid Mittal , Sherol Chen , Deepak Ramachandran , Ravi Rajakumar , Ian Kivlichan , Sunny Mak , Alena Butryna , Praveen Paritosh

The presence of toxic content has become a major problem for many online communities. Moderators try to limit this problem by implementing more and more refined comment filters, but toxic users are constantly finding new ways to circumvent…

Computation and Language · Computer Science 2018-12-06 Éloi Brassard-Gourdeau , Richard Khoury

Suicide is a prominent issue in society. Unfortunately, many people at risk for suicide do not receive the support required. Barriers to people receiving support include social stigma and lack of access to mental health care. With the…

Machine Learning · Computer Science 2024-05-10 Matthew Squires , Xiaohui Tao , Soman Elangovan , U Rajendra Acharya , Raj Gururajan , Haoran Xie , Xujuan Zhou

A major task for moderators of online spaces is norm-setting, essentially creating shared norms for user behavior in their communities. Platform design principles emphasize the importance of highlighting norm-adhering examples and…

Human-Computer Interaction · Computer Science 2026-04-07 Agam Goyal , Charlotte Lambert , Yoshee Jain , Eshwar Chandrasekharan

With the rapid growth of social media usage, a common trend has emerged where users often make sarcastic comments on posts. While sarcasm can sometimes be harmless, it can blur the line with cyberbullying, especially when used in negative…

Social and Information Networks · Computer Science 2024-11-01 Pinky Pamecha , Chaitya Shah , Divyam Jain , Kashish Gandhi , Kiran Bhowmick , Meera Narvekar

Current multimodal toxicity benchmarks typically use a single binary hatefulness label. This coarse approach conflates two fundamentally different characteristics of expression: tone and content. Drawing on communication science theory, we…

Computation and Language · Computer Science 2026-03-25 Nils A. Herrmann , Tobias Eder , Jingyi He , Georg Groh

Collectives adapt their network structure to the challenges they face. It has been hypothesized that collectives experiencing a real or imagined threat from an outgroup tend to consolidate behind a few influential group members, and that…

Social and Information Networks · Computer Science 2023-02-24 N. Gizem Bacaksizlar Turbic , Mirta Galesic

Online communities play a critical role in shaping societal discourse and influencing collective behavior in the real world. The tendency for people to connect with others who share similar characteristics and views, known as homophily,…

Social and Information Networks · Computer Science 2025-02-06 Lanqin Yuan , Philipp J. Schneider , Marian-Andrei Rizoiu

Governance institutions must respond to societal risks, including those posed by generative AI. This study empirically examines how public trust in institutions and AI technologies, along with perceived risks, shape preferences for AI…

Computers and Society · Computer Science 2025-05-01 Justin B. Bullock , Janet V. T. Pauketat , Hsini Huang , Yi-Fan Wang , Jacy Reese Anthis

Prevention and intervention work done within community settings often face unique analytic challenges for rigorous evaluations. Since community prevention work (often geographically isolated) cannot be controlled in the same way other…

Social and Information Networks · Computer Science 2018-01-29 Hsuan-Wei Lee , G. Robin Gauthier , Jerreed D. Ivanich , Lisa Wexler , Bilal Khan , Kirk Dombrowski

Since the proliferation of social media usage, hate speech has become a major crisis. Hateful content can spread quickly and create an environment of distress and hostility. Further, what can be considered hateful is contextual and varies…

Social and Information Networks · Computer Science 2022-01-05 Tanmoy Chakraborty , Sarah Masud

Shortcomings of current models of moderation have driven policy makers, scholars, and technologists to speculate about alternative models of content moderation. While alternative models provide hope for the future of online spaces, they can…

Computers and Society · Computer Science 2023-05-22 Sarah A. Gilbert

Online social networks create echo-chambers where people are infrequently exposed to opposing opinions. Even if such exposure occurs, the persuasive effect may be minimal or nonexistent. Recent studies have shown that exposure to opposing…

Social and Information Networks · Computer Science 2020-08-04 Qi Yang , Khizar Qureshi , Tauhid Zaman

Toxicity annotators and content moderators often default to mental shortcuts when making decisions. This can lead to subtle toxicity being missed, and seemingly toxic but harmless content being over-detected. We introduce BiasX, a framework…

Computation and Language · Computer Science 2023-05-24 Yiming Zhang , Sravani Nanduri , Liwei Jiang , Tongshuang Wu , Maarten Sap

Online hate speech is associated with substantial social harms, yet it remains unclear how consistently platforms enforce hate speech policies or whether enforcement is feasible at scale. We address these questions through a global audit of…

Social media platforms employ various content moderation techniques to remove harmful, offensive, and hate speech content. The moderation level varies across platforms; even over time, it can evolve in a platform. For example, Parler, a…

Social and Information Networks · Computer Science 2025-02-05 Nihal Kumarswamy , Mohit Singhal , Shirin Nilizadeh

Toxicity and abuse are common in online peer-production communities. The social structure of peer-production communities that aim to produce accurate and trustworthy information require some conflict and gate-keeping to spur content…

Human-Computer Interaction · Computer Science 2023-03-27 Chris Blakely , Andrew Vargo

Social media networks commonly employ content moderation as a tool to limit the spread of harmful content. However, the efficacy of this strategy in limiting the delivery of harmful content to users is not well understood. In this paper, we…

Social and Information Networks · Computer Science 2023-02-23 Ian Goldstein , Laura Edelson , Minh-Kha Nguyen , Oana Goga , Damon McCoy , Tobias Lauinger
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