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Improving Adversarial Data Collection by Supporting Annotators: Lessons
  from GAHD, a German Hate Speech Dataset

Improving Adversarial Data Collection by Supporting Annotators: Lessons from GAHD, a German Hate Speech Dataset

28 March 2024
Janis Goldzycher
Paul Röttger
Gerold Schneider
    AAML
ArXivPDFHTML

Papers citing "Improving Adversarial Data Collection by Supporting Annotators: Lessons from GAHD, a German Hate Speech Dataset"

4 / 4 papers shown
Title
Can Prompting LLMs Unlock Hate Speech Detection across Languages? A Zero-shot and Few-shot Study
Can Prompting LLMs Unlock Hate Speech Detection across Languages? A Zero-shot and Few-shot Study
Faeze Ghorbanpour
Daryna Dementieva
Alexander M. Fraser
33
0
0
09 May 2025
AustroTox: A Dataset for Target-Based Austrian German Offensive Language
  Detection
AustroTox: A Dataset for Target-Based Austrian German Offensive Language Detection
Pia Pachinger
Janis Goldzycher
A. Planitzer
Wojciech Kusa
Allan Hanbury
Julia Neidhardt
26
2
0
12 Jun 2024
Analyzing Dynamic Adversarial Training Data in the Limit
Analyzing Dynamic Adversarial Training Data in the Limit
Eric Wallace
Adina Williams
Robin Jia
Douwe Kiela
184
29
0
16 Oct 2021
Hatemoji: A Test Suite and Adversarially-Generated Dataset for
  Benchmarking and Detecting Emoji-based Hate
Hatemoji: A Test Suite and Adversarially-Generated Dataset for Benchmarking and Detecting Emoji-based Hate
Hannah Rose Kirk
B. Vidgen
Paul Röttger
Tristan Thrush
Scott A. Hale
65
57
0
12 Aug 2021
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