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Differences of Challenges of Working from Home (WFH) between Weibo and Twitter Users during COVID-19

Authors:

Simon PerraultAuthors Info & Claims

CHI EA '22: CHI Conference on Human Factors in Computing Systems Extended Abstracts

Article No.: 259, Pages 1 - 7

https://doi.org/10.1145/3491101.3519790

Published: 28 April 2022 Publication History

Abstract

People face lots of challenges when working from home (WFH). In this paper, we used both LDA (Latent Dirichlet Allocation) topic modeling and qualitative analysis to analyse WFH related posts on Weibo (N=1093) and Twitter (N=907) during COVID-19. We highlighted unique differences of WFH challenges between two platforms, including long work time, family and food commitment and health concerns on Weibo; casual wearing habits on Twitter. We then provided possible guidelines from a cross-cultural perspective on how to improve the WFH experience based on these differences.

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Cited By

Akatsuka HToyoda M(2023)Analysis of the relationship between urban dynamics and prevalence of remote work based on population data generated from cellular networksScientific Reports10.1038/s41598-023-47513-x13:1Online publication date: 17-Nov-2023
https://doi.org/10.1038/s41598-023-47513-x
Alqahtani EJanbi NSharaf SMehmood R(2022)Smart Homes and Families to Enable Sustainable Societies: A Data-Driven Approach for Multi-Perspective Parameter Discovery Using BERT ModellingSustainability10.3390/su14201353414:20(13534)Online publication date: 19-Oct-2022
https://doi.org/10.3390/su142013534

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Information

Published In

cover image ACM Conferences

CHI EA '22: Extended Abstracts of the 2022 CHI Conference on Human Factors in Computing Systems

April 2022

3066 pages

ISBN:9781450391566

DOI:10.1145/3491101

Editors:
Simone Barbosa
PUC-Rio, Brazil
,
Cliff Lampe
University of Michigan, USA
,
Caroline Appert
Université Paris-Saclay, France
,
David A. Shamma
Toyota Research Institute, USA

Copyright © 2022 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 the author(s) 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].

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SIGCHI: ACM Special Interest Group on Computer-Human Interaction

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 28 April 2022

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Poster
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Refereed limited

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SGP Healthcare Fund

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CHI '22

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SIGCHI

CHI '22: CHI Conference on Human Factors in Computing Systems

April 29 - May 5, 2022

LA, New Orleans, USA

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Overall Acceptance Rate 6,164 of 23,696 submissions, 26%

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CHI 2025

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ACM CHI Conference on Human Factors in Computing Systems

April 26 - May 1, 2025

Yokohama , Japan

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Cited By

Akatsuka HToyoda M(2023)Analysis of the relationship between urban dynamics and prevalence of remote work based on population data generated from cellular networksScientific Reports10.1038/s41598-023-47513-x13:1Online publication date: 17-Nov-2023
https://doi.org/10.1038/s41598-023-47513-x
Alqahtani EJanbi NSharaf SMehmood R(2022)Smart Homes and Families to Enable Sustainable Societies: A Data-Driven Approach for Multi-Perspective Parameter Discovery Using BERT ModellingSustainability10.3390/su14201353414:20(13534)Online publication date: 19-Oct-2022
https://doi.org/10.3390/su142013534

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