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Social media platforms increasingly employ proactive moderation techniques, such as detecting and curbing toxic and uncivil comments, to prevent the spread of harmful content. Despite these efforts, such approaches are often criticized for…

Human-Computer Interaction · Computer Science 2025-07-30 Xiaotian Su , Naim Zierau , Soomin Kim , April Yi Wang , Thiemo Wambsganss

To protect users from massive hateful content, existing works studied automated hate speech detection. Despite the existing efforts, one question remains: do automated hate speech detectors conform to social media content policies? A…

Software Engineering · Computer Science 2024-03-20 Jiangrui Zheng , Xueqing Liu , Guanqun Yang , Mirazul Haque , Xing Qian , Ravishka Rathnasuriya , Wei Yang , Girish Budhrani

Online harms are a growing problem in digital spaces, putting user safety at risk and reducing trust in social media platforms. One of the most persistent forms of harm is hate speech. To address this, we need tools that combine the speed…

Computation and Language · Computer Science 2025-09-03 Paloma Piot , Diego Sánchez , Javier Parapar

When people have the freedom to create and post content on the internet, particularly anonymously, they do not always respect the rules and regulations of the websites on which they post, leaving other unsuspecting users vulnerable to…

Human-Computer Interaction · Computer Science 2023-05-17 Christine L. Cook , Jie Cai , Donghee Yvette Wohn

Content moderators play a key role in keeping the conversation on social media healthy. While the high volume of content they need to judge represents a bottleneck to the moderation pipeline, no studies have explored how models could…

Computation and Language · Computer Science 2024-06-07 Agostina Calabrese , Leonardo Neves , Neil Shah , Maarten W. Bos , Björn Ross , Mirella Lapata , Francesco Barbieri

This study examines social media users' preferences for the use of platform-wide moderation in comparison to user-controlled, personalized moderation tools to regulate three categories of norm-violating content - hate speech, sexually…

Human-Computer Interaction · Computer Science 2023-02-08 Shagun Jhaver , Amy Zhang

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

Recently, social media platforms are heavily moderated to prevent the spread of online hate speech, which is usually fertile in toxic words and is directed toward an individual or a community. Owing to such heavy moderation, newer and more…

Social and Information Networks · Computer Science 2023-03-21 Punyajoy Saha , Kiran Garimella , Narla Komal Kalyan , Saurabh Kumar Pandey , Pauras Mangesh Meher , Binny Mathew , Animesh Mukherjee

Content moderation is the process of screening and monitoring user-generated content online. It plays a crucial role in stopping content resulting from unacceptable behaviors such as hate speech, harassment, violence against specific…

Computation and Language · Computer Science 2023-01-02 Álvaro Huertas-García , Alejandro Martín , Javier Huertas Tato , David Camacho

Disabled people on social media often experience ableist hate and microaggressions. Prior work has shown that platform moderation often fails to remove ableist hate leaving disabled users exposed to harmful content. This paper examines how…

Human-Computer Interaction · Computer Science 2025-03-31 Sharon Heung , Lucy Jiang , Shiri Azenkot , Aditya Vashistha

The proliferation of harmful content on online platforms is a major societal problem, which comes in many different forms including hate speech, offensive language, bullying and harassment, misinformation, spam, violence, graphic content,…

Subtle and indirect hate speech remains an underexplored challenge in online safety research, particularly when harmful intent is embedded within misleading or manipulative narratives. Existing hate speech datasets primarily capture overt…

Computation and Language · Computer Science 2026-03-04 Sai Kartheek Reddy Kasu , Shankar Biradar , Sunil Saumya , Md. Shad Akhtar

Online social platforms are beset with hateful speech - content that expresses hatred for a person or group of people. Such content can frighten, intimidate, or silence platform users, and some of it can inspire other users to commit…

Computation and Language · Computer Science 2017-10-02 Haji Mohammad Saleem , Kelly P Dillon , Susan Benesch , Derek Ruths

Reducing hateful and offensive content in online social media pose a dual problem for the moderators. On the one hand, rigid censorship on social media cannot be imposed. On the other, the free flow of such content cannot be allowed. Hence,…

Social and Information Networks · Computer Science 2019-09-30 Punyajoy Saha , Binny Mathew , Pawan Goyal , Animesh Mukherjee

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…

To meet the demands of content moderation, online platforms have resorted to automated systems. Newer forms of real-time engagement($\textit{e.g.}$, users commenting on live streams) on platforms like Twitch exert additional pressures on…

Computation and Language · Computer Science 2025-06-11 Prarabdh Shukla , Wei Yin Chong , Yash Patel , Brennan Schaffner , Danish Pruthi , Arjun Bhagoji

Online platforms face the challenge of moderating an ever-increasing volume of content, including harmful hate speech. In the absence of clear legal definitions and a lack of transparency regarding the role of algorithms in shaping…

Computers and Society · Computer Science 2024-06-21 David Hartmann , Amin Oueslati , Dimitri Staufer

Despite regulations imposed by nations and social media platforms, e.g. (Government of India, 2021; European Parliament and Council of the European Union, 2022), inter alia, hateful content persists as a significant challenge. Existing…

Hate speech remains a pressing challenge on social media, where platform moderation often fails to protect targeted users. Personal moderation tools that let users decide how content is filtered can address some of these shortcomings.…

Human-Computer Interaction · Computer Science 2026-03-03 Anna Ricarda Luther , Hendrik Heuer , Stephanie Geise , Sebastian Haunss , Andreas Breiter

Hateful comments are prevalent on social media platforms. Although tools for automatically detecting, flagging, and blocking such false, offensive, and harmful content online have lately matured, such reactive and brute force methods alone…

Computation and Language · Computer Science 2024-01-17 Sougata Saha , Rohini Srihari
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