Detection of cyberhate speech towards female sport in the Arabic Xsphere [PDF]
PeerJ Computer ScienceThe recent rapid growth in the number of Saudi female athletes and sports enthusiasts’ presence on social media has exposed them to gender-hate speech and discrimination. Hate speech, a harmful worldwide phenomenon, can have severe consequences.
Fatimah Alhayan +6 more
doaj +2 more sources
Characterizing network dynamics of online hate communities around the COVID-19 pandemic
Applied Network Science, 2021 Hate speech has long posed a serious problem for the integrity of digital platforms. Although significant progress has been made in identifying hate speech in its various forms, prevailing computational approaches have tended to consider it in isolation ...
Joshua Uyheng, Kathleen M. Carley
doaj +1 more source
Lack of Critical Approach in the Hate Speech Research as Ideological Practice in Indonesia [PDF]
SHS Web of Conferences, 2023 Hate speech is a global phenomenon that surge in almost all countries in the last few years. This, for one thing, is triggered by the presence of social media, so people tend to express their feelings directly without thinking much.
Sirulhaq Ahmad +2 more
doaj +1 more source
European regulation of cross-border hate speech in cyberspace: The limits of legislation [PDF]
, 2011 This paper examines the complexities of regulating hate speech on the Internet through legal frameworks. It demonstrates the limitations of unilateral national content legislation and the difficulties inherent in multilateral efforts to regulate the ...
Banks, James
core +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
Mapping the scientific knowledge and approaches to defining and measuring hate crime, hate speech, and hate incidents: A systematic review. [PDF]
Campbell Syst RevVergani M +8 more
europepmc +2 more sources
Automated Hate Speech Detection and the Problem of Offensive Language
, 2017 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 containing particular
Davidson, Thomas +3 more
core +2 more sources
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
arHateDetector: detection of hate speech from standard and dialectal Arabic Tweets
Discover Internet of Things, 2023 Hate speech has become a phenomenon on social media platforms, such as Twitter. These websites and apps that were initially designed to facilitate our expression of free speech, are sometimes being used to spread hate towards each other.
Ramzi Khezzar +2 more
doaj +1 more source
What is so special about online (as compared to offline) hate speech? [PDF]
, 2017 There is a growing body of literature on whether or not online hate speech, or cyberhate, might be special compared to offline hate speech. This article aims to both critique and augment that literature by emphasising a distinctive feature of the ...
Brown, Alexander
core +1 more source