Understanding the Diverging User Trajectories in Highly-related Online Communities during the COVID-19 Pandemic

Zhang, Jason Shuo; Keegan, Brian; Lv, Qin; Tan, Chenhao

doi:10.48550/arxiv.2006.04816

Cited by 2 publications

(3 citation statements)

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“…Other research on the COVID-19 pandemic has documented a rise in anti-Asian hate incidents (Center for the Study of Hate and Extremism 2021; Jeung et al 2021) and online expressions of anti-Asian sentiment (Lu and Sheng 2022;Nguyen et al 2020;Pei and Mehta 2020;Stechemesser et al 2020;Tahmasbi et al 2021;Zhang et al 2021). Our findings document a more quotidian form of discrimination, resembling the kinds of behaviors that Chinese and Asian Americans are more likely to encounter than physical violence.…”

Section: Discussionsupporting

confidence: 61%

“…These trends coincided with rising expressions of anti-Asian sentiment online. Multiple studies looking at the first half of 2020 documented increasingly Sinophobic language on English language and U.S. Twitter (Lu and Sheng 2022;Nguyen et al 2020;Pei and Mehta 2020;Stechemesser et al 2020;Tahmasbi et al 2021), Reddit (Zhang et al 2021), and 4chan (Tahmasbi et al 2021). These trends picked up in response to certain news events, including a speech on March 16 2020 in which President Trump first referred to COVID-19 as the "Chinese virus" (Lu and Sheng 2022;Pei and Mehta 2020; also see Rizzuto 2020).…”

Section: Anti-asian Hostility During Covid-19mentioning

confidence: 99%

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Politics, not Vulnerability: Republicans Discriminated against Chinese-born Americans throughout the COVID-19 Pandemic

Abascal

Makovi

Yao

2023

J. Race Ethnicity Politics

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Asian Americans became targets of increasingly hostile behavior during the COVID-19 pandemic. What motivated this? Fears of contagion arising from a behavioral immune system may have motivated hostility toward Asian Americans, especially among those Americans vulnerable to COVID-19. Additionally, stigmatizing rhetoric from right-wing figures may have legitimated anti-Asian behavior among those Americans who held stronger anti-Asian sentiments to begin with or who were more receptive to right-wing rhetoric. We explore these possibilities using a behavioral game with a representative sample of Americans at two points: in May and October 2020. Participants were partnered with a U.S.- or Chinese-born American in a give-or-take dictator game. The average American discriminated against Chinese-born Americans in May but not October 2020, when China was no longer a COVID-19 hotspot. But among Republicans, who may have held stronger anti-Asian sentiments to begin with and who were likely more receptive to right-wing rhetoric, discrimination—that is, differential treatment—was both stronger in May compared to non-Republicans and persisted into October 2020. Notably, Americans who were more vulnerable to COVID-19 were not especially likely to discriminate.

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Section: Discussionsupporting

confidence: 61%

Section: Anti-asian Hostility During Covid-19mentioning

confidence: 99%

Politics, not Vulnerability: Republicans Discriminated against Chinese-born Americans throughout the COVID-19 Pandemic

Abascal

Makovi

Yao

2023

J. Race Ethnicity Politics

View full text Add to dashboard Cite

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“…Other work has shown that content cross-posted to different communities contributes to the ongoing renegotiation of topical boundaries [11]. Zhang et al [84] have shown that topical boundaries can also shift as similar communities attract users with different interests. In a related sense, Massanari [58] has argued that toxic communities can influence the broader culture of a platform.…”

Section: Related Workmentioning

confidence: 99%

No Community Can Do Everything: Why People Participate in Similar Online Communities

TeBlunthuis¹,

Kiene²,

Brown³

et al. 2022

Preprint

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Large-scale quantitative analyses have shown that individuals frequently talk to each other about similar things in different online spaces. Why do these overlapping communities exist? We provide an answer grounded in the analysis of 20 interviews with active participants in clusters of highly related subreddits. Within a broad topical area, there are a diversity of benefits an online community can confer. These include (a) specific information and discussion, (b) socialization with similar others, and (c) attention from the largest possible audience. A single community cannot meet all three needs. Our findings suggest that topical areas within an online community platform tend to become populated by groups of specialized communities with diverse sizes, topical boundaries, and rules. Compared with any single community, such systems of overlapping communities are able to provide a greater range of benefits.CCS Concepts: • Human-centered computing → Collaborative and social computing theory, concepts and paradigms; Social content sharing; Computer supported cooperative work.

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Understanding the Diverging User Trajectories in Highly-related Online Communities during the COVID-19 Pandemic

Cited by 2 publications

References 0 publications

Politics, not Vulnerability: Republicans Discriminated against Chinese-born Americans throughout the COVID-19 Pandemic

Politics, not Vulnerability: Republicans Discriminated against Chinese-born Americans throughout the COVID-19 Pandemic

No Community Can Do Everything: Why People Participate in Similar Online Communities

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