poster

Tracing Contacts With Mobile Phones to Curb the Pandemic:Topics and Stances in People’s Online Comments About the Official German Contact-Tracing App

Authors:

Andreas Poller,

Gisela VallejoAuthors Info & Claims

CHI EA '21: Extended Abstracts of the 2021 CHI Conference on Human Factors in Computing Systems

Article No.: 322, Pages 1 - 7

https://doi.org/10.1145/3411763.3451631

Published: 08 May 2021 Publication History

CHI EA '21: Extended Abstracts of the 2021 CHI Conference on Human Factors in Computing Systems

Tracing Contacts With Mobile Phones to Curb the Pandemic:Topics and Stances in People’s Online Comments About the Official German Contact-Tracing App

Pages 1 - 7

Abstract
References

Abstract

The Covid-19 pandemic has led to a health crisis with 90 million infections and two million deaths by the end of January 2021. To prevent an overload of medical capacities, quickly identifying potentially infected persons is vital to stop the spread of the virus. Mobile apps for tracing people’s contacts seem effective, but raise public concerns, e. g., about privacy. Hence, they are contested in public discourse. We report a large-scale NLP-supported analysis of people’s comments about the German contact-tracing app on news websites, social media and app stores. We identified prevalent topics, stances, and how commenting developed over time. We found privacy to be among the most debated topics discussed from various perspectives. Commenting peaked at one point in time, when public discourse centered on the potential tracing protocols and their privacy protection. We encourage further research on the link between the public discussions and actual adoption rates of the app.

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Cited By

Leng JLin ZYoo SScandurra GDickinson MVucetic BWang A(2024)Healthcare Internet of Things system implementations for COVID-19 preventionFrontiers in Communications and Networks10.3389/frcmn.2024.14294605Online publication date: 23-Oct-2024
https://doi.org/10.3389/frcmn.2024.1429460
Heaton DClos JNichele EFischer J(2023)Critical reflections on three popular computational linguistic approaches to examine Twitter discoursesPeerJ Computer Science10.7717/peerj-cs.12119(e1211)Online publication date: 30-Jan-2023
https://doi.org/10.7717/peerj-cs.1211
Yoo SGulbransen-Diaz NParker CWang A(2023)Designing Digital COVID-19 Screening: Insights and DeliberationsInternational Journal of Environmental Research and Public Health10.3390/ijerph2005389920:5(3899)Online publication date: 22-Feb-2023
https://doi.org/10.3390/ijerph20053899
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cover image ACM Conferences

CHI EA '21: Extended Abstracts of the 2021 CHI Conference on Human Factors in Computing Systems

May 2021

2965 pages

ISBN:9781450380959

DOI:10.1145/3411763

Editors:
Yoshifumi Kitamura
Tohoku University, Japan
,
Aaron Quigley
University of New South Wales, Australia
,
Katherine Isbister
University of California Santa Cruz, USA
,
Takeo Igarashi
The University of Tokyo, Japan

Copyright © 2021 ACM.

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Published: 08 May 2021

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German Federal Ministry of Education and Research
Hessen State Ministry for Higher Education, Research and the Arts

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CHI '21: CHI Conference on Human Factors in Computing Systems

May 8 - 13, 2021

Yokohama, Japan

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Cited By

Leng JLin ZYoo SScandurra GDickinson MVucetic BWang A(2024)Healthcare Internet of Things system implementations for COVID-19 preventionFrontiers in Communications and Networks10.3389/frcmn.2024.14294605Online publication date: 23-Oct-2024
https://doi.org/10.3389/frcmn.2024.1429460
Heaton DClos JNichele EFischer J(2023)Critical reflections on three popular computational linguistic approaches to examine Twitter discoursesPeerJ Computer Science10.7717/peerj-cs.12119(e1211)Online publication date: 30-Jan-2023
https://doi.org/10.7717/peerj-cs.1211
Yoo SGulbransen-Diaz NParker CWang A(2023)Designing Digital COVID-19 Screening: Insights and DeliberationsInternational Journal of Environmental Research and Public Health10.3390/ijerph2005389920:5(3899)Online publication date: 22-Feb-2023
https://doi.org/10.3390/ijerph20053899
Gulbransen-Diaz NYoo SWang A(2023)Nurse, Give Me the News! Understanding Support for and Opposition to a COVID-19 Health Screening SystemInternational Journal of Environmental Research and Public Health10.3390/ijerph2002116420:2(1164)Online publication date: 9-Jan-2023
https://doi.org/10.3390/ijerph20021164
Häring MGerlitz ESmith MTiefenau C(2023)Less About Privacy: Revisiting a Survey about the German COVID-19 Contact Tracing AppProceedings of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544548.3581537(1-16)Online publication date: 19-Apr-2023
https://dl.acm.org/doi/10.1145/3544548.3581537
Pepper CReyes-Cruz GPena ADowthwaite LBabbage CWagner HNichele EFischer J(2022)Understanding Trust and Changes in Use After a Year With the NHS COVID-19 Contact Tracing App in the United Kingdom: Longitudinal Mixed Methods StudyJournal of Medical Internet Research10.2196/4055824:10(e40558)Online publication date: 14-Oct-2022
https://doi.org/10.2196/40558
Dowthwaite LWagner HBabbage CFischer JBarnard PNichele EPerez Vallejos EClos JPortillo VMcAuley D(2022)The relationship between trust and attitudes towards the COVID-19 digital contact-tracing app in the UKPLOS ONE10.1371/journal.pone.027666117:10(e0276661)Online publication date: 27-Oct-2022
https://doi.org/10.1371/journal.pone.0276661
Huang YObada-Obieh BLokam SBeznosov K(2022)Users' Expectations, Experiences, and Concerns With COVID Alert, an Exposure-Notification AppProceedings of the ACM on Human-Computer Interaction10.1145/35557706:CSCW2(1-33)Online publication date: 11-Nov-2022
https://dl.acm.org/doi/10.1145/3555770
Lu XJo EPark SHong HChen YEpstein D(2022)Understanding Cultural Influence on Perspectives Around Contact Tracing StrategiesProceedings of the ACM on Human-Computer Interaction10.1145/35555696:CSCW2(1-26)Online publication date: 11-Nov-2022
https://dl.acm.org/doi/10.1145/3555569
Lyu YCarroll J(2022)Cultural Influences on Chinese Citizens’ Adoption of Digital Contact Tracing: A Human Infrastructure PerspectiveProceedings of the 2022 CHI Conference on Human Factors in Computing Systems10.1145/3491102.3517572(1-17)Online publication date: 29-Apr-2022
https://dl.acm.org/doi/10.1145/3491102.3517572
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