Exploring the Role of Grammar and Word Choice in Bias Toward African American English (AAE) in Hate Speech Classification-Reference-Cited by-同舟云学术

Exploring the Role of Grammar and Word Choice in Bias Toward African American English (AAE) in Hate Speech Classification

Published:2022-06-20 Issue: Volume: Page:
ISSN:
Container-title:2022 ACM Conference on Fairness, Accountability, and Transparency
language:
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Author:

Harris Camille¹,Halevy Matan¹,Howard Ayanna²,Bruckman Amy¹,Yang Diyi¹

Affiliation:

1. Georgia Institute of Technology, USA

2. The Ohio State University, USA

Funder

Cisco Systems Inc.

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3531146.3533144

Reference43 articles.

1. Deep Learning for Hate Speech Detection in Tweets

2. Su Lin Blodgett and Brendan O’Connor. 2017. Racial disparity in natural language processing: A case study of social media african-american english. arXiv preprint arXiv:1707.00061(2017). Su Lin Blodgett and Brendan O’Connor. 2017. Racial disparity in natural language processing: A case study of social media african-american english. arXiv preprint arXiv:1707.00061(2017).

3. Twitter Universal Dependency Parsing for African-American and Mainstream American English

4. Pete Burnap and Matthew L Williams. 2016. Us and them: identifying cyber hate on Twitter across multiple protected characteristics. EPJ Data science 5(2016) 1–15. Pete Burnap and Matthew L Williams. 2016. Us and them: identifying cyber hate on Twitter across multiple protected characteristics. EPJ Data science 5(2016) 1–15.

5. Detecting Offensive Language in Social Media to Protect Adolescent Online Safety

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