994
Views
8
CrossRef citations to date
0
Altmetric
Articles

Campaigning for the greater good? – How persuasive messages affect the evaluation of contact tracing apps

ORCID Icon
Pages 189-206 | Received 16 Oct 2020, Accepted 05 Jan 2021, Published online: 28 Feb 2021
 

ABSTRACT

The underlying scenario for adopting Covid-19 contact tracing apps is complex, given that users face potential surveillance, while expected health benefits are for the greater societal good rather than for themselves. To encourage adoption, many governments employ persuasive messages, highlighting either the app’s potential societal benefits (e.g., protecting the elderly) or high privacy standards. Responding to public media criticism, we compare the impact of two different persuasive messages, which focus on either societal benefits or privacy assurance. Emphasising societal benefits successfully stimulates this decision making without users losing sight of privacy risks. In contrast, emphasising privacy assurance diminishes users’ societal welfare concerns, as potential personal gains and losses largely frame their decision. These results are critical for developing and launching tracing apps, also beyond Covid-19, as well as for other applications of which widespread adoption is imperative to unlock potential societal level benefits, while requiring individual disclosure of sensitive data.

Disclosure statement

No potential conflict of interest was reported by the author.

Correction Statement

This article has been republished with minor changes. These changes do not impact the academic content of the article.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.