Technological Solutions to Online Toxicity: Potential and Pitfalls-Reference-Cited by-同舟云学术

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Technological Solutions to Online Toxicity: Potential and Pitfalls

Published:2023-12 Issue:4 Volume:42 Page:57-65
ISSN:0278-0097
Container-title:IEEE Technology and Society Magazine
language:
Short-container-title:IEEE Technol. Soc. Mag.

Author:

Bodaghi Arezo¹^ORCID,Fung Benjamin C. M.²^ORCID,Schmitt Ketra A.³^ORCID

Affiliation:

1. Concordia Institute for Information Systems Engineering Concordia University, Montreal, QC, Canada

2. School of Information Studies, McGill University, Montreal, QC, Canada

3. Center for Engineering in Society Concordia Institute for Information Systems Engineering, Concordia University, Montreal, QC, Canada

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/44/10410129/10410098.pdf?arnumber=10410098

Reference35 articles.

1. Constructing my online self

2. A systematic review of hate speech automatic detection using natural language processing;Jahan;arXiv:2106.00742,2021

3. Identifying Spurious Correlations for Robust Text Classification

4. Bias and Discrimination in AI: A Cross-Disciplinary Perspective

5. Domain Adaptation Multi-task Deep Neural Network for Mitigating Unintended Bias in Toxic Language Detection

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