Abuse-and-Harms

Contributed by Jishun Zhao.

In this repo, we list some related work on Abuse and Harms. Corrections and suggestions are welcomed.

Contents

1. Volume
2. Review
3. Hate speech
4. Abusive language
5. Cyberbullying
6. Discriminatory
7. Offensive
8. Microaggressions
9. Stereotype
10. Fought
11. Datasets

Volume

1. Vinodkumar Prabhakaran
2. Proceedings of the First Workshop on Abusive Language Online
3. Proceedings of the 2nd Workshop on Abusive Language Online (ALW2)
4. Proceedings of the Third Workshop on Abusive Language Online
5. Proceedings of the Fourth Workshop on Online Abuse and Harms
6. Proceedings of the 5th Workshop on Online Abuse and Harms (WOAH 2021)

Review

1. Directions in abusive language training data, a systematic review: Garbage in, garbage out.2020.HTML
2. Resources and benchmark corpora for hate speech detection: a systematic review.2021.HTML

Hate speech

1. Hateful Symbols or Hateful People? Predictive Features for Hate Speech Detection on Twitter.2016.NAACL.PDF
2. Automated Hate Speech Detection and the Problem of Offensive Language.2017.PDF
3. Deep Learning for Hate Speech Detection in Tweets.2017.PDF
4. Multilingual and Multi-Aspect Hate Speech Analysis.2019.EMNLP.PDF
5. Towards generalisable hate speech detection: a review on obstacles and solutions.TML
6. Social Bias Frames: Reasoning about Social and Power Implications of Language.2020.PDF
7. Latent Hatred: A Benchmark for Understanding Implicit Hate Speech.2021.EMNLP.PDF

Abusive language

1. Understanding Abuse: A Typology of Abusive Language Detection Subtasks.2017.PDF
2. Inducing a Lexicon of Abusive Words – A Feature-Based Approach.2018.NAACL.PDF
3. onfronting Abusive Language Online: A Survey from the Ethical and Human Rights Perspective
4. ias and comparison framework for abusive language datasets

Cyberbullying

1. Content-Driven Detection of Cyberbullying on the Instagram Social Network.2016.PDF

Discriminatory

1. THE THEORY OF DISCRIMINATION
2. A flexible text analyzer based on ontologies: an application for detecting discriminatory language.

Offensive

1. Predicting the Type and Target of Offensive Posts in Social Media.2019.PDF
2. COLD: A Benchmark for Chinese Offensive Language Detection.

Microaggressions

1. Finding Microaggressions in the Wild: A Case for Locating Elusive Phenomena in Social Media Posts.2019.PDF

Stereotype

The Defination of Stereotype

1. The Psychology of Prejudice, Stereotyping and Discrimination: An Overview.2003.PDF
2. Stereotype content model across cultures: Towards universal similarities and some differences.2009.PDF

The Threat of Stereotype

1. The Threat of Stereotype.2004.PDF
2. Stereotype Threat.2016.PDF

Stereotype in NLP

1. Black is to Criminal as Caucasian is to Police: Detecting and Removing Multiclass Bias in Word Embeddings.2019.NAACL.PDF
2. Gender Stereotypes in Natural Language: Word Embeddings Show Robust Consistency Across Child and Adult Language Corpora of More Than 65 Million Words.2021.PDF
3. Hate Speech Classifiers Learn Human-Like Social Stereotypes.2021.PDF

Fought

1. The Effect of Extremist Violence on Hateful Speech Online.
2. Generating Counter Narratives against Online Hate Speech: Data and Strategies.

Datasets

1. hatespeechdata
2. Predicting the Type and Target of Offensive Posts in Social Media .2019