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Exploring the Plausibility of Hate and Counter Speech Detectors with
  Explainable AI

Exploring the Plausibility of Hate and Counter Speech Detectors with Explainable AI

25 July 2024
Adrian Jaques Böck
D. Slijepcevic
Matthias Zeppelzauer
ArXiv (abs)PDFHTML

Papers citing "Exploring the Plausibility of Hate and Counter Speech Detectors with Explainable AI"

4 / 4 papers shown
Title
Distilling Knowledge from Large Language Models: A Concept Bottleneck Model for Hate and Counter Speech Recognition
Distilling Knowledge from Large Language Models: A Concept Bottleneck Model for Hate and Counter Speech Recognition
Roberto Labadie-Tamayo
D. Slijepcevic
Xihui Chen
Adrian Jaques Böck
Andreas Babic
Liz Freimann
Christiane Atzmüller Matthias Zeppelzauer
88
0
0
30 Jul 2025
Performance Evaluation of Sentiment Analysis on Text and Emoji Data Using End-to-End, Transfer Learning, Distributed and Explainable AI Models
Performance Evaluation of Sentiment Analysis on Text and Emoji Data Using End-to-End, Transfer Learning, Distributed and Explainable AI ModelsJournal of Advances in Information Technology (JAIT), 2025
Sirisha Velampalli
Chandrashekar Muniyappa
Ashutosh Saxena
326
43
0
18 Feb 2025
The Disagreement Problem in Explainable Machine Learning: A Practitioner's Perspective
The Disagreement Problem in Explainable Machine Learning: A Practitioner's Perspective
Satyapriya Krishna
Tessa Han
Alex Gu
Steven Wu
S. Jabbari
Himabindu Lakkaraju
616
237
0
03 Feb 2022
"Why Should I Trust You?": Explaining the Predictions of Any Classifier
"Why Should I Trust You?": Explaining the Predictions of Any Classifier
Marco Tulio Ribeiro
Sameer Singh
Carlos Guestrin
FAttFaML
1.9K
19,183
0
16 Feb 2016
1