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On Cross-Dataset Generalization in Automatic Detection of Online Abuse
v1v2v3 (latest)

On Cross-Dataset Generalization in Automatic Detection of Online Abuse

14 October 2020
I. Nejadgholi
S. Kiritchenko
ArXiv (abs)PDFHTML

Papers citing "On Cross-Dataset Generalization in Automatic Detection of Online Abuse"

20 / 20 papers shown
Title
Tackling Social Bias against the Poor: A Dataset and Taxonomy on Aporophobia
Tackling Social Bias against the Poor: A Dataset and Taxonomy on Aporophobia
Georgina Curto
S. Kiritchenko
Muhammad Hammad Fahim Siddiqui
I. Nejadgholi
Kathleen C. Fraser
36
0
0
17 Apr 2025
Improving Hate Speech Classification with Cross-Taxonomy Dataset Integration
Jan Fillies
Adrian Paschke
67
1
0
07 Mar 2025
HateDay: Insights from a Global Hate Speech Dataset Representative of a Day on Twitter
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
178
2
0
23 Nov 2024
From Languages to Geographies: Towards Evaluating Cultural Bias in Hate Speech Datasets
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
109
7
0
27 Apr 2024
NaijaHate: Evaluating Hate Speech Detection on Nigerian Twitter Using
  Representative Data
NaijaHate: Evaluating Hate Speech Detection on Nigerian Twitter Using Representative Data
Manuel Tonneau
Pedro Vitor Quinta de Castro
Karim Lasri
I. Farouq
Lakshminarayanan Subramanian
Victor Orozco-Olvera
Samuel Fraiberger
100
12
0
28 Mar 2024
Topic Bias in Emotion Classification
Topic Bias in Emotion Classification
Maximilian Wegge
Roman Klinger
CVBM
35
0
0
14 Dec 2023
Latent Feature-based Data Splits to Improve Generalisation Evaluation: A
  Hate Speech Detection Case Study
Latent Feature-based Data Splits to Improve Generalisation Evaluation: A Hate Speech Detection Case Study
Maike Zufle
Verna Dankers
Ivan Titov
89
0
0
16 Nov 2023
Revisiting Out-of-distribution Robustness in NLP: Benchmark, Analysis,
  and LLMs Evaluations
Revisiting Out-of-distribution Robustness in NLP: Benchmark, Analysis, and LLMs Evaluations
Lifan Yuan
Yangyi Chen
Ganqu Cui
Hongcheng Gao
Fangyuan Zou
Xingyi Cheng
Heng Ji
Zhiyuan Liu
Maosong Sun
144
84
0
07 Jun 2023
Auditing large language models: a three-layered approach
Auditing large language models: a three-layered approach
Jakob Mokander
Jonas Schuett
Hannah Rose Kirk
Luciano Floridi
AILawMLAU
150
215
0
16 Feb 2023
State-of-the-art generalisation research in NLP: A taxonomy and review
State-of-the-art generalisation research in NLP: A taxonomy and review
Dieuwke Hupkes
Mario Giulianelli
Verna Dankers
Mikel Artetxe
Yanai Elazar
...
Leila Khalatbari
Maria Ryskina
Rita Frieske
Ryan Cotterell
Zhijing Jin
268
99
0
06 Oct 2022
Detecting Harmful Online Conversational Content towards LGBTQIA+
  Individuals
Detecting Harmful Online Conversational Content towards LGBTQIA+ Individuals
Jamell Dacon
Harry Shomer
Shaylynn Crum-Dacon
Jiliang Tang
63
8
0
15 Jun 2022
Necessity and Sufficiency for Explaining Text Classifiers: A Case Study
  in Hate Speech Detection
Necessity and Sufficiency for Explaining Text Classifiers: A Case Study in Hate Speech Detection
Esma Balkir
I. Nejadgholi
Kathleen C. Fraser
S. Kiritchenko
FAtt
69
27
0
06 May 2022
Hidden behind the obvious: misleading keywords and implicitly abusive
  language on social media
Hidden behind the obvious: misleading keywords and implicitly abusive language on social media
Wenjie Yin
A. Zubiaga
72
28
0
03 May 2022
Improving Generalizability in Implicitly Abusive Language Detection with
  Concept Activation Vectors
Improving Generalizability in Implicitly Abusive Language Detection with Concept Activation Vectors
I. Nejadgholi
Kathleen C. Fraser
S. Kiritchenko
49
21
0
05 Apr 2022
Cyberbullying Classifiers are Sensitive to Model-Agnostic Perturbations
Cyberbullying Classifiers are Sensitive to Model-Agnostic Perturbations
Chris Emmery
Ákos Kádár
Grzegorz Chrupała
Walter Daelemans
55
5
0
17 Jan 2022
ConvAbuse: Data, Analysis, and Benchmarks for Nuanced Abuse Detection in
  Conversational AI
ConvAbuse: Data, Analysis, and Benchmarks for Nuanced Abuse Detection in Conversational AI
Amanda Cercas Curry
Gavin Abercrombie
Verena Rieser
84
82
0
20 Sep 2021
Towards generalisable hate speech detection: a review on obstacles and
  solutions
Towards generalisable hate speech detection: a review on obstacles and solutions
Wenjie Yin
A. Zubiaga
183
169
0
17 Feb 2021
HateCheck: Functional Tests for Hate Speech Detection Models
HateCheck: Functional Tests for Hate Speech Detection Models
Paul Röttger
B. Vidgen
Dong Nguyen
Zeerak Talat
Helen Z. Margetts
J. Pierrehumbert
124
276
0
31 Dec 2020
Confronting Abusive Language Online: A Survey from the Ethical and Human
  Rights Perspective
Confronting Abusive Language Online: A Survey from the Ethical and Human Rights Perspective
S. Kiritchenko
I. Nejadgholi
Kathleen C. Fraser
AILaw
113
88
0
22 Dec 2020
Towards Ethics by Design in Online Abusive Content Detection
Towards Ethics by Design in Online Abusive Content Detection
S. Kiritchenko
I. Nejadgholi
73
13
0
28 Oct 2020
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