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Online Xenophobic Behavior Amid the COVID-19 Pandemic: A Commentary

Authors:

Roy Ka-Wei Lee,

Zhi LiAuthors Info & Claims

Digital Government: Research and Practice, Volume 2, Issue 1

Article No.: 2, Pages 1 - 5

https://doi.org/10.1145/3428091

Published: 17 November 2020 Publication History

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Abstract

The COVID-19 pandemic has developed to be more than a bio-crisis as global news has reported a sharp rise in xenophobia and discrimination in online and offline communities. This commentary discusses the deterrence policies and automated content moderation technology to curb the spread of online xenophobic behaviors. We suggested some potential exploration areas where multiple stakeholders can come together to address the online xenophobic issues amid the COVID-19 pandemic.

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Cited By

Tomasev NMaynard JGabriel I(2024)Manifestations of xenophobia in AI systemsAI & SOCIETY10.1007/s00146-024-01893-4Online publication date: 21-Mar-2024
https://doi.org/10.1007/s00146-024-01893-4
Herrmann B(2023)Kann künstliche Intelligenz vor Hatespeech schützen?API Magazin10.15460/apimagazin.2023.4.2.1474:2Online publication date: 29-Jun-2023
https://doi.org/10.15460/apimagazin.2023.4.2.147
Jaki SSteiger S(2023)Hate Speech online: Hartknäckiges Phänomen und interdisziplinärer ForschungsgegenstandDigitale Hate Speech10.1007/978-3-662-65964-9_1(1-14)Online publication date: 28-Apr-2023
https://doi.org/10.1007/978-3-662-65964-9_1
Show More Cited By

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Online Xenophobic Behavior Amid the COVID-19 Pandemic: A Commentary

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Information & Contributors

Information

Published In

cover image Digital Government: Research and Practice

Digital Government: Research and Practice Volume 2, Issue 1

COVID-19 Commentaries

January 2021

116 pages

EISSN:2639-0175

DOI:10.1145/3434277

Editors:
Soon Ae Chun
City University of New York, USA
,
Beth Simone Noveck
The Governance Lab and New York University, USA

Issue’s Table of Contents

Copyright © 2020 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 17 November 2020

Online AM: 30 October 2020

Accepted: 01 October 2020

Revised: 01 August 2020

Received: 01 July 2020

Published in DGOV Volume 2, Issue 1

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Cited By

Tomasev NMaynard JGabriel I(2024)Manifestations of xenophobia in AI systemsAI & SOCIETY10.1007/s00146-024-01893-4Online publication date: 21-Mar-2024
https://doi.org/10.1007/s00146-024-01893-4
Herrmann B(2023)Kann künstliche Intelligenz vor Hatespeech schützen?API Magazin10.15460/apimagazin.2023.4.2.1474:2Online publication date: 29-Jun-2023
https://doi.org/10.15460/apimagazin.2023.4.2.147
Jaki SSteiger S(2023)Hate Speech online: Hartknäckiges Phänomen und interdisziplinärer ForschungsgegenstandDigitale Hate Speech10.1007/978-3-662-65964-9_1(1-14)Online publication date: 28-Apr-2023
https://doi.org/10.1007/978-3-662-65964-9_1
Huang J(2021)The Education for Patriotism in Post-Pandemic China: The CCP’s Approach to “Psychological Insecurity” in FocusHuman Security in China10.1007/978-981-16-4675-1_5(107-132)Online publication date: 21-Oct-2021
https://doi.org/10.1007/978-981-16-4675-1_5
Smith DJames CGriffiths M(2021)Co‐brand partnerships making space for the next black girl: Backlash in social justice brandingPsychology & Marketing10.1002/mar.2156638:12(2314-2326)Online publication date: 5-Aug-2021
https://doi.org/10.1002/mar.21566

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