Hateful Symbols or Hateful People? Predictive Features for Hate Speech Detection on Twitter
North American Chapter of the Association for Computational Linguistics, 2016 Hate speech in the form of racist and sexist remarks are a common occurrence on social media. For that reason, many social media services address the problem of identifying hate speech, but the definition of hate speech varies markedly and is largely a ...
Zeerak Talat, Dirk Hovy
semanticscholar +1 more source
The University as an Industrial Plant: How A Workplace Theory of Discriminatory Harassment Creates a “Hostile Environment” for Free Speech in America’s Universities [PDF]
, 1997 Gall uses Rodney A. Smolla\u27s article Academic Freedom, Hate Speech, and the Idea of a University as a basis for his discussion of hostile environments for free speech among colleges and ...
Gall, Robert W.
core +2 more sources
Hate Speech in Social Media and Its Effects on the LGBT Community: A Review of the Current Research
Romanian Journal of Communications and Public Relations, 2021 Hate speech on social media is a real problem with real consequences. Despite the constant efforts of social media platforms to moderate, flag, and ban hate posts, there is still a vast amount of hateful content flooding them.
Oana Ștefăniță, Diana-Maria Buf
doaj +1 more source
Detecting and Monitoring Hate Speech in Twitter [PDF]
, 2019 Social Media are sensors in the real world that can be used to measure the pulse of societies. However, the massive and unfiltered feed of messages posted in social media is a phenomenon that nowadays raises social alarms, especially when these ...
Camacho-Collados, Miguel +3 more
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Deep Learning for Hate Speech Detection in Tweets [PDF]
The Web Conference, 2017 Hate speech detection on Twitter is critical for applications like controversial event extraction, building AI chatterbots, content recommendation, and sentiment analysis. We define this task as being able to classify a tweet as racist, sexist or neither.
Pinkesh Badjatiya +3 more
semanticscholar +1 more source
Hate Speech Classification in Indonesian Language Tweets by Using Convolutional Neural Network
Journal of ICT Research and Applications, 2021 The rapid development of social media, added with the freedom of social media users to express their opinions, has influenced the spread of hate speech aimed at certain groups. Online based hate speech can be identified by the used of derogatory words in
Dewa Ayu Nadia Taradhita +1 more
doaj +1 more source
Religion, hate speech, and non-domination [PDF]
, 2017 In this paper I argue that one way of explaining what is wrong with hate speech is by critically assessing what kind of freedom free speech involves and, relatedly, what kind of freedom hate speech undermines.
Bonotti, Matteo
core +1 more source
Hate Speech Classifiers Learn Normative Social Stereotypes
Transactions of the Association for Computational Linguistics, 2023 Social stereotypes negatively impact individuals’ judgments about different groups and may have a critical role in understanding language directed toward marginalized groups.
Aida Mostafazadeh Davani +3 more
semanticscholar +1 more source
1 Kings 12:1–24 and effects of hate speech in Nigeria
Verbum et Ecclesia, 2021 This article examines the effect of hate speech in Nigeria in the light of 1 Kings 12:1–24. Hate speech refers to any speech that subordinates, marginalises or harms members of a group.
Favour C. Uroko, Mary J. Obiorah
doaj +1 more source
Hate Speech Detection Using Large Language Models: A Comprehensive Review
IEEE AccessThe widespread use of social media and other online platforms has facilitated unprecedented communication and information exchange. However, it has also led to the spread of hate speech and poses serious challenges to societal harmony as well as ...
Aish Albladi +9 more
semanticscholar +1 more source