research-article

The Chinese Diaspora and The Attempted WeChat Ban: Platform Precarity, Anticipated Impacts, and Infrastructural Migration

Authors:

Ben Zefeng Zhang,

Oliver L. Haimson,

Michaelanne ThomasAuthors Info & Claims

Proceedings of the ACM on Human-Computer Interaction, Volume 6, Issue CSCW2

Article No.: 397, Pages 1 - 29

https://doi.org/10.1145/3555122

Published: 11 November 2022 Publication History

Abstract

In August 2020, the U.S. President issued an executive order to ban the Chinese-based social platform WeChat, alleging that WeChat posed a national security risk. WeChat is a vital application for Chinese diasporic communities in the United States. The ban's status was uncertain for several months before it was temporarily halted and later revoked in 2021. Through interviews with 15 WeChat users and online participant observation, this study examines the anticipated impacts of the potential WeChat ban and participants' reactions. We find that participants described negative consequences of the potential ban, including adverse network and economic effects and disruption of community-building efforts. We also find that many participants considered WeChat to be critical infrastructure in the United States, as it has become an indispensable part of their daily lives. To frame participants' experiences, we introduce the concept of infrastructural migration-the process of users relocating to another digital media service that embodies the properties and functions of infrastructure or moving to an assemblage of different applications that meet their infrastructural needs separately. We then discuss implications for designing for infrastructural migration and future considerations for HCI research with diasporic communities.

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Index Terms

The Chinese Diaspora and The Attempted WeChat Ban: Platform Precarity, Anticipated Impacts, and Infrastructural Migration
1. Computer systems organization
  1. Dependable and fault-tolerant systems and networks
    1. Redundancy
  2. Embedded and cyber-physical systems
    1. Embedded systems
    2. Robotics
2. Networks
  1. Network properties
    1. Network reliability

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Proceedings of the ACM on Human-Computer Interaction Volume 6, Issue CSCW2

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Lyu YCai JDosono BYadav DCarroll J(2024)"I Upload... All Types of Different Things to Say the World of Blindness Is More Than What They Think It Is": A Study of Blind TikTokers' Identity Work from a Flourishing PerspectiveProceedings of the ACM on Human-Computer Interaction10.1145/36870138:CSCW2(1-24)Online publication date: 8-Nov-2024
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Xu ZZhang JGreenberg JFrumkin MJaveed SZhang JBenedict BBotterbush KRodebaugh TRay WLu C(2024)Predicting Multi-dimensional Surgical Outcomes with Multi-modal Mobile SensingProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36596288:2(1-30)Online publication date: 15-May-2024
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Li WGao RXiong JZhou JWang LMao XYi EZhang D(2024)WiFi-CSI Difference ParadigmProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36596088:2(1-29)Online publication date: 15-May-2024
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Jeong DHan K(2024)PRECYSE: Predicting Cybersickness using Transformer for Multimodal Time-Series Sensor DataProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36595948:2(1-24)Online publication date: 15-May-2024
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Zhou YZhao HHuang YRöddiger TKurnaz MRiedel TBeigl M(2024)AutoAugHAR: Automated Data Augmentation for Sensor-based Human Activity RecognitionProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36595898:2(1-27)Online publication date: 15-May-2024
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Yang LAmin OShihada B(2024)Intelligent Wearable Systems: Opportunities and Challenges in Health and SportsACM Computing Surveys10.1145/364846956:7(1-42)Online publication date: 9-Apr-2024
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Sheng BHan RXiao FGuo ZGui L(2024)MetaFormerProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36435508:1(1-27)Online publication date: 6-Mar-2024
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Pyle CZhang BHaimson OAndalibi N(2024)"I'm Constantly in This Dilemma": How Migrant Technology Professionals Perceive Social Media Recommendation AlgorithmsProceedings of the ACM on Human-Computer Interaction10.1145/36373428:CSCW1(1-33)Online publication date: 26-Apr-2024
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Prinster GSmith CTan CKeegan B(2024)Community Archetypes: An Empirical Framework for Guiding Research Methodologies to Reflect User Experiences of Sense of Virtual Community on RedditProceedings of the ACM on Human-Computer Interaction10.1145/36373108:CSCW1(1-33)Online publication date: 26-Apr-2024
https://dl.acm.org/doi/10.1145/3637310
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