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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…

Computers and Society · Computer Science 2020-06-09 Joshua Garland , Keyan Ghazi-Zahedi , Jean-Gabriel Young , Laurent Hébert-Dufresne , Mirta Galesic

The rapid growth of social media in recent years has fed into some highly undesirable phenomena such as proliferation of abusive and offensive language on the Internet. Previous research suggests that such hateful content tends to come from…

Computation and Language · Computer Science 2019-02-19 Pushkar Mishra , Marco Del Tredici , Helen Yannakoudakis , Ekaterina Shutova

While social media has become an empowering agent to individual voices and freedom of expression, it also facilitates anti-social behaviors including online harassment, cyberbullying, and hate speech. In this paper, we present the first…

Social and Information Networks · Computer Science 2018-04-13 Mai ElSherief , Shirin Nilizadeh , Dana Nguyen , Giovanni Vigna , Elizabeth Belding

Counterspeech, i.e., responses to counteract potential harms of hateful speech, has become an increasingly popular solution to address online hate speech without censorship. However, properly countering hateful language requires countering…

Computation and Language · Computer Science 2023-11-02 Jimin Mun , Emily Allaway , Akhila Yerukola , Laura Vianna , Sarah-Jane Leslie , Maarten Sap

While social media empowers freedom of expression and individual voices, it also enables anti-social behavior, online harassment, cyberbullying, and hate speech. In this paper, we deepen our understanding of online hate speech by focusing…

Computation and Language · Computer Science 2018-04-13 Mai ElSherief , Vivek Kulkarni , Dana Nguyen , William Yang Wang , Elizabeth Belding

Hate content in social media is ever-increasing. While Facebook, Twitter, Google have attempted to take several steps to tackle the hateful content, they have mostly been unsuccessful. Counterspeech is seen as an effective way of tackling…

Social and Information Networks · Computer Science 2019-04-08 Binny Mathew , Punyajoy Saha , Hardik Tharad , Subham Rajgaria , Prajwal Singhania , Suman Kalyan Maity , Pawan Goyal , Animesh Mukherje

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

The damaging effects of hate speech on social media are evident during the last few years, and several organizations, researchers and social media platforms tried to harness them in various ways. Despite these efforts, social media users…

Information Retrieval · Computer Science 2020-05-04 Polychronis Charitidis , Stavros Doropoulos , Stavros Vologiannidis , Ioannis Papastergiou , Sophia Karakeva

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,…

Computers and Society · Computer Science 2019-09-02 Rob Procter , Helena Webb , Marina Jirotka , Pete Burnap , William Housley , Adam Edwards , Matt Williams

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,…

Social and Information Networks · Computer Science 2021-09-07 Joshua Garland , Keyan Ghazi-Zahedi , Jean-Gabriel Young , Laurent Hébert-Dufresne , Mirta Galesic

Hateful speech in Online Social Networks (OSNs) is a key challenge for companies and governments, as it impacts users and advertisers, and as several countries have strict legislation against the practice. This has motivated work on…

Social and Information Networks · Computer Science 2018-01-16 Manoel Horta Ribeiro , Pedro H. Calais , Yuri A. Santos , Virgílio A. F. Almeida , Wagner Meira

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

Social media has become an indispensable channel for political communication. However, the political discourse is increasingly characterized by hate speech, which affects not only the reputation of individual politicians but also the…

Social and Information Networks · Computer Science 2022-05-30 Kirill Solovev , Nicolas Pröllochs

The phenomenal growth on the internet has helped in empowering individual's expressions, but the misuse of freedom of expression has also led to the increase of various cyber crimes and anti-social activities. Hate speech is one such issue…

Computation and Language · Computer Science 2020-06-01 Prashant Kapil , Asif Ekbal , Dipankar Das

As research on hate speech becomes more and more relevant every day, most of it is still focused on hate speech detection. By attempting to replicate a hate speech detection experiment performed on an existing Twitter corpus annotated for…

Computation and Language · Computer Science 2018-05-15 Filip Klubička , Raquel Fernández

Algorithms are widely applied to detect hate speech and abusive language in social media. We investigated whether the human-annotated data used to train these algorithms are biased. We utilized a publicly available annotated Twitter dataset…

Computation and Language · Computer Science 2020-05-29 Jae Yeon Kim , Carlos Ortiz , Sarah Nam , Sarah Santiago , Vivek Datta

A key challenge for automatic hate-speech detection on social media is the separation of hate speech from other instances of offensive language. Lexical detection methods tend to have low precision because they classify all messages…

Computation and Language · Computer Science 2017-03-14 Thomas Davidson , Dana Warmsley , Michael Macy , Ingmar Weber

Hate speech detection research has predominantly focused on purely content-based methods, without exploiting any additional context. We briefly critique pros and cons of this task formulation. We then investigate profiling users by their…

Computation and Language · Computer Science 2021-12-14 Prateek Chaudhry , Matthew Lease

In the digital age, hate speech poses a threat to the functioning of social media platforms as spaces for public discourse. Top-down approaches to moderate hate speech encounter difficulties due to conflicts with freedom of expression and…

Computers and Society · Computer Science 2025-11-24 Jana Lasser , Alina Herderich , Joshua Garland , Segun Taofeek Aroyehun , David Garcia , Mirta Galesic

Social media systems allow Internet users a congenial platform to freely express their thoughts and opinions. Although this property represents incredible and unique communication opportunities, it also brings along important challenges.…

Social and Information Networks · Computer Science 2016-03-25 Leandro Silva , Mainack Mondal , Denzil Correa , Fabricio Benevenuto , Ingmar Weber
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