Hate Speech and Cyberbullying Detection

TopicLeading institutions, researchers & key papers

This cluster of papers focuses on the automated detection of hate speech, offensive language, and cyberbullying in social media platforms such as Twitter. It explores various techniques including machine learning, natural language processing, and deep learning to identify and categorize abusive content, with a specific emphasis on mitigating online harassment and promoting online safety.

159

Works

IDs:OpenAlex

How has Hate Speech and Cyberbullying Detection's publication output changed over time?

ScholarIQpublication output · 2018–2023

Output grew200% over the shown period — from 1 works in 2018 to 3 in 2023.

201820192020202120222023

What are the most-cited papers on Hate Speech and Cyberbullying Detection?

ScholarIQmost cited works

Social Media and Democracy

Nathaniel Persily, Joshua A. Tucker, Andrew M. Guess, Benjamin A. Lyons, Pablo Barberá, Alexandra Siegel, Samuel Woolley, Erika Franklin Fowler, Michael M. Franz, Travis N. Ridout, Rasmus Kleis Nielsen, Richard Fletcher, Chloe Wittenberg, Adam J. Berinsky, Francis Fukuyama, Andrew Grotto, Daphne Keller, Paddy Leerssen, Tim Hwang, Robert Gorwa, Timothy Garton Ash

Cambridge University Press eBooks. 2020280 CitationsOPEN ACCESS

Detection and classification of social media-based extremist affiliations using sentiment analysis techniques

Shakeel Ahmad, Muhammad Zubair Asghar, Fahad Alotaibi, Irfan‐Ullah Awan

S2497168432. 2019169 CitationsOPEN ACCESS

Resolving content moderation dilemmas between free speech and harmful misinformation

Anastasia Kozyreva, Stefan M. Herzog, Stephan Lewandowsky, Ralph Hertwig, Philipp Lorenz-Spreen, Mark Leiser, Jason Reifler

Proceedings of the National Academy of Sciences. 2023152 CitationsOPEN ACCESS

When AI moderates online content: effects of human collaboration and interactive transparency on user trust

María D. Molina, S. Shyam Sundar

S30594836. 2022147 CitationsOPEN ACCESS

Does distrust in humans predict greater trust in AI? Role of individual differences in user responses to content moderation

María D. Molina, S. Shyam Sundar