Identifying the Public Interest in COVID-19 Contact Tracing Apps in Switzerland Based on Online Search Behavior

Glauser, Christoph; Schmid, Loris; Kurpicz-Briki, Mascha (September 2020). Identifying the Public Interest in COVID-19 Contact Tracing Apps in Switzerland Based on Online Search Behavior In: Proceedings of ICEGOV 2020. Athens Greece. 23-25.09.2020. 10.1145/3428502.3428517

Text 3428502.3428517.pdf - Published Version Restricted to registered users only Available under License Publisher holds Copyright. Download (938kB) | Request a copy

One major discussion point during the COVID-19 crisis is the use of digital contact tracing applications to reduce the spreading of the Corona virus among the population. Whereas this is important for public health from a pandemic point of view, this raised many discussions about privacy and other data mining concerns in the population. In this study we monitored the search behavior of the Swiss online population from mid of May until mid of June to measure the public interest in digital contact tracing and corresponding applications. We identified the most popular keywords and we followed the online channels that were primarily used to search for such topics. Such insights are crucial to enhance the visibility and acceptance of digital contact tracing applications.

Item Type:	Conference or Workshop Item (Paper)
Division/Institute:	School of Engineering and Computer Science > Institute for Data Applications and Security (IDAS) School of Engineering and Computer Science > Institute for Data Applications and Security (IDAS) > Business Information Systems Engineering (BISE) School of Engineering and Computer Science
Name:	Glauser, Christoph; Schmid, Loris and Kurpicz-Briki, Mascha
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science R Medicine > RA Public aspects of medicine > RA0421 Public health. Hygiene. Preventive Medicine
ISBN:	978-1-4503-7674-7
Language:	English
Submitter:	Mascha Kurpicz-Briki
Date Deposited:	09 Nov 2020 11:03
Last Modified:	09 Nov 2020 11:03
Publisher DOI:	10.1145/3428502.3428517
Related URLs:	Publication
ARBOR DOI:	10.24451/arbor.12375
URI:	https://arbor.bfh.ch/id/eprint/12375