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Home / Proceedings / Proceedings of the International AAAI Conference on Web and Social Media

Empirical Analysis of Multi-Task Learning for Reducing Identity Bias in Toxic Comment Detection

February 1, 2023

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Authors

Ameya Vaidya,Feng Mai,Yue Ning

Bridgewater-Raritan Regional High School,Stevens Institute of Technology,Stevens Institute of Technology


DOI:

10.1609/icwsm.v14i1.7334


Abstract:

With the recent rise of toxicity in online conversations on social media platforms, using modern machine learning algorithms for toxic comment detection has become a central focus of many online applications. Researchers and companies have developed a variety of models to identify toxicity in online conversations, reviews, or comments with mixed successes. However, many existing approaches have learned to incorrectly associate non-toxic comments that have certain trigger-words (e.g. gay, lesbian, black, muslim) as a potential source of toxicity. In this paper, we evaluate several state-of-the-art models with the specific focus of reducing model bias towards these commonly-attacked identity groups. We propose a multi-task learning model with an attention layer that jointly learns to predict the toxicity of a comment as well as the identities present in the comments in order to reduce this bias. We then compare our model to an array of shallow and deep-learning models using metrics designed especially to test for unintended model bias within these identity groups.

Topics: ICWSM

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Ameya Vaidya,Feng Mai,Yue Ning Empirical Analysis of Multi-Task Learning for Reducing Identity Bias in Toxic Comment Detection Proceedings of the International AAAI Conference on Web and Social Media (2020) 683-693.

Ameya Vaidya,Feng Mai,Yue Ning Empirical Analysis of Multi-Task Learning for Reducing Identity Bias in Toxic Comment Detection ICWSM 2020, 683-693.

Ameya Vaidya,Feng Mai,Yue Ning (2020). Empirical Analysis of Multi-Task Learning for Reducing Identity Bias in Toxic Comment Detection. Proceedings of the International AAAI Conference on Web and Social Media, 683-693.

Ameya Vaidya,Feng Mai,Yue Ning. Empirical Analysis of Multi-Task Learning for Reducing Identity Bias in Toxic Comment Detection. Proceedings of the International AAAI Conference on Web and Social Media 2020 p.683-693.

Ameya Vaidya,Feng Mai,Yue Ning. 2020. Empirical Analysis of Multi-Task Learning for Reducing Identity Bias in Toxic Comment Detection. "Proceedings of the International AAAI Conference on Web and Social Media". 683-693.

Ameya Vaidya,Feng Mai,Yue Ning. (2020) "Empirical Analysis of Multi-Task Learning for Reducing Identity Bias in Toxic Comment Detection", Proceedings of the International AAAI Conference on Web and Social Media, p.683-693

Ameya Vaidya,Feng Mai,Yue Ning, "Empirical Analysis of Multi-Task Learning for Reducing Identity Bias in Toxic Comment Detection", ICWSM, p.683-693, 2020.

Ameya Vaidya,Feng Mai,Yue Ning. "Empirical Analysis of Multi-Task Learning for Reducing Identity Bias in Toxic Comment Detection". Proceedings of the International AAAI Conference on Web and Social Media, 2020, p.683-693.

Ameya Vaidya,Feng Mai,Yue Ning. "Empirical Analysis of Multi-Task Learning for Reducing Identity Bias in Toxic Comment Detection". Proceedings of the International AAAI Conference on Web and Social Media, (2020): 683-693.

Ameya Vaidya,Feng Mai,Yue Ning. Empirical Analysis of Multi-Task Learning for Reducing Identity Bias in Toxic Comment Detection. ICWSM[Internet]. 2020[cited 2023]; 683-693.


ISSN: 2334-0770


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