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Hateful rhetoric is plaguing online discourse, fostering extreme societal movements and possibly giving rise to real-world violence. A potential solution to this growing global problem is citizen-generated counter speech where citizens…

计算机与社会 · 计算机科学 2020-06-09 Joshua Garland , Keyan Ghazi-Zahedi , Jean-Gabriel Young , Laurent Hébert-Dufresne , Mirta Galesic

Citizen-generated counter speech is a promising way to fight hate speech and promote peaceful, non-polarized discourse. However, there is a lack of large-scale longitudinal studies of its effectiveness for reducing hate speech. To this end,…

社会与信息网络 · 计算机科学 2021-09-07 Joshua Garland , Keyan Ghazi-Zahedi , Jean-Gabriel Young , Laurent Hébert-Dufresne , Mirta Galesic

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…

计算与语言 · 计算机科学 2024-01-17 Sougata Saha , Rohini Srihari

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…

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…

Counterspeech offers direct rebuttals to hateful speech by challenging perpetrators of hate and showing support to targets of abuse. It provides a promising alternative to more contentious measures, such as content moderation and…

计算与语言 · 计算机科学 2023-07-11 Yi-Ling Chung , Gavin Abercrombie , Florence Enock , Jonathan Bright , Verena Rieser

Discussion about the social network Twitter often concerns its role in political discourse, involving the question of when an expression of opinion becomes offensive, immoral, and/or illegal, and how to deal with it. Given the growing…

计算与语言 · 计算机科学 2019-10-18 Sylvia Jaki , Tom De Smedt

Online debates are often characterised by extreme polarisation and heated discussions among users. The presence of hate speech online is becoming increasingly problematic, making necessary the development of appropriate countermeasures. In…

社会与信息网络 · 计算机科学 2021-05-31 Matteo Cinelli , Andraž Pelicon , Igor Mozetič , Walter Quattrociocchi , Petra Kralj Novak , Fabiana Zollo

The online hate speech is proliferating with several organization and countries implementing laws to ban such harmful speech. While these restrictions might reduce the amount of such hateful content, it does so by restricting freedom of…

社会与信息网络 · 计算机科学 2018-12-07 Binny Mathew , Navish Kumar , Ravina , Pawan Goyal , Animesh Mukherjee

This paper explores ways in which the harmful effects of cyber hate may be mitigated through mechanisms for enhancing the self governance of new digital spaces. We report findings from a mixed methods study of responses to cyber hate posts,…

计算机与社会 · 计算机科学 2019-09-02 Rob Procter , Helena Webb , Marina Jirotka , Pete Burnap , William Housley , Adam Edwards , Matt Williams

Online social media has become increasingly popular in recent years due to its ease of access and ability to connect with others. One of social media's main draws is its anonymity, allowing users to share their thoughts and opinions without…

计算与语言 · 计算机科学 2024-04-12 Vigneshwaran Shankaran , Rajesh Sharma

Hate speech represents a pervasive and detrimental form of online discourse, often manifested through an array of slurs, from hateful tweets to defamatory posts. As such speech proliferates, it connects people globally and poses significant…

计算与语言 · 计算机科学 2025-05-06 Paloma Piot , Patricia Martín-Rodilla , Javier Parapar

We investigate the impact of free speech and the relaxation of moderation on online social media platforms using Elon Musk's takeover of Twitter as a case study. By curating a dataset of over 10 million tweets, our study employs a novel…

社会与信息网络 · 计算机科学 2025-03-13 Arvindh Arun , Saurav Chhatani , Jisun An , Ponnurangam Kumaraguru

AI-generated counterspeech offers a promising and scalable strategy to curb online toxicity through direct replies that promote civil discourse. However, current counterspeech is one-size-fits-all, lacking adaptation to the moderation…

人机交互 · 计算机科学 2025-02-10 Lorenzo Cima , Alessio Miaschi , Amaury Trujillo , Marco Avvenuti , Felice Dell'Orletta , Stefano Cresci

Lack of moderation in online communities enables participants to incur in personal aggression, harassment or cyberbullying, issues that have been accentuated by extremist radicalisation in the contemporary post-truth politics scenario. This…

计算与语言 · 计算机科学 2018-01-08 Nestor Rodriguez , Sergio Rojas-Galeano

Online hate speech poses a serious threat to individual well-being and societal cohesion. A promising solution to curb online hate speech is counterspeech. Counterspeech is aimed at encouraging users to reconsider hateful posts by direct…

社会与信息网络 · 计算机科学 2024-11-26 Dominik Bär , Abdurahman Maarouf , Stefan Feuerriegel

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…

社会与信息网络 · 计算机科学 2022-01-05 Tanmoy Chakraborty , Sarah Masud

There is an ongoing debate about how to moderate toxic speech on social media and the impact of content moderation on online discourse. This paper proposes and validates a methodology for measuring the content-moderation-induced distortions…

社会与信息网络 · 计算机科学 2026-03-04 Mahyar Habibi , Dirk Hovy , Carlo Schwarz

Qualitative research provides methodological guidelines for observing and studying communities and cultures on online social media platforms. However, such methods demand considerable manual effort from researchers and can be overly focused…

社会与信息网络 · 计算机科学 2022-05-05 Quyu Kong , Emily Booth , Francesco Bailo , Amelia Johns , Marian-Andrei Rizoiu

Online toxic content has grown into a pervasive phenomenon, intensifying during times of crisis, elections, and social unrest. A significant amount of research has been focused on detecting or analyzing toxic content using machine-learning…

计算与语言 · 计算机科学 2025-09-19 Gautam Kishore Shahi , Tim A. Majchrzak
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