Listening to Affected Communities to Define Extreme Speech: Dataset and
Experiments

Listening to Affected Communities to Define Extreme Speech: Dataset and Experiments

22 March 2022

Antonis Maronikolakis

Hinrich Schütze

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Papers citing "Listening to Affected Communities to Define Extreme Speech: Dataset and Experiments"

18 / 18 papers shown

Title
LLM-C3MOD: A Human-LLM Collaborative System for Cross-Cultural Hate Speech Moderation Junyeong Park Seogyeong Jeong Siyang Song Yohan Lee Alice Oh 98 1 0 10 Mar 2025
Extreme Speech Classification in the Era of LLMs: Exploring Open-Source and Proprietary Models Sarthak Mahajan Nimmi Rangaswamy 103 0 0 24 Feb 2025
HateDay: Insights from a Global Hate Speech Dataset Representative of a Day on Twitter Manuel Tonneau Diyi Liu Niyati Malhotra Scott A. Hale Samuel Fraiberger Victor Orozco-Olvera Paul Röttger 169 2 0 23 Nov 2024
Ethics Whitepaper: Whitepaper on Ethical Research into Large Language Models Eddie L. Ungless Nikolas Vitsakis Zeerak Talat James Garforth Bjorn Ross Arno Onken Atoosa Kasirzadeh Alexandra Birch 71 1 0 17 Oct 2024
State of NLP in Kenya: A Survey Cynthia Jayne Amol Everlyn Asiko Chimoto Rose Delilah Gesicho Antony M. Gitau Naome A. Etori ... Catherine Gitau Antony Ndolo Lilian D. A. Wanzare Albert Njoroge Kahira Ronald Tombe 115 2 0 13 Oct 2024
Cohesive Conversations: Enhancing Authenticity in Multi-Agent Simulated Dialogues Kuanchao Chu Yi-Pei Chen Hideki Nakayama LLMAG 82 5 0 13 Jul 2024
Culturally Aware and Adapted NLP: A Taxonomy and a Survey of the State of the Art Chen Cecilia Liu Iryna Gurevych Anna Korhonen 181 6 0 06 Jun 2024
The Unseen Targets of Hate -- A Systematic Review of Hateful Communication Datasets Zehui Yu Indira Sen Dennis Assenmacher Mattia Samory Leon Fröhling Christina Dahn Debora Nozza Claudia Wagner 72 7 0 14 May 2024
From Languages to Geographies: Towards Evaluating Cultural Bias in Hate Speech Datasets Manuel Tonneau Diyi Liu Samuel Fraiberger Ralph Schroeder Scott A. Hale Paul Röttger 101 7 0 27 Apr 2024
Revealing Trends in Datasets from the 2022 ACL and EMNLP Conferences Jesse Atuhurra Hidetaka Kamigaito 77 0 0 31 Mar 2024
LLMs and Finetuning: Benchmarking cross-domain performance for hate speech detection Ahmad Nasir Aadish Sharma Kokil Jaidka Saifuddin Ahmed 98 3 0 29 Oct 2023
Politeness Stereotypes and Attack Vectors: Gender Stereotypes in Japanese and Korean Language Models Victor Steinborn Antonis Maronikolakis Hinrich Schütze 63 0 0 16 Jun 2023
BiasX: "Thinking Slow" in Toxic Content Moderation with Explanations of Implied Social Biases Yiming Zhang Sravani Nanduri Liwei Jiang Tongshuang Wu Maarten Sap 74 7 0 23 May 2023
Sociocultural knowledge is needed for selection of shots in hate speech detection tasks Antonis Maronikolakis Abdullatif Köksal Hinrich Schütze 67 0 0 04 Apr 2023
Vicarious Offense and Noise Audit of Offensive Speech Classifiers: Unifying Human and Machine Disagreement on What is Offensive Tharindu Cyril Weerasooriya Sujan Dutta Tharindu Ranasinghe Marcos Zampieri Christopher Homan Ashiqur R. KhudaBukhsh AAML 92 21 0 29 Jan 2023
CoRAL: a Context-aware Croatian Abusive Language Dataset Ravi Shekhar Mladen Karan Matthew Purver 88 6 0 11 Nov 2022
Annotators with Attitudes: How Annotator Beliefs And Identities Bias Toxic Language Detection Maarten Sap Swabha Swayamdipta Laura Vianna Xuhui Zhou Yejin Choi Noah A. Smith 96 285 0 15 Nov 2021
"Why Should I Trust You?": Explaining the Predictions of Any Classifier Marco Tulio Ribeiro Sameer Singh Carlos Guestrin FAtt FaML 1.2K 17,164 0 16 Feb 2016

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