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Dataset Information

Mining user reviews of COVID contact-tracing apps: An exploratory analysis of nine European apps.


ABSTRACT:

Context

More than 78 countries have developed COVID contact-tracing apps to limit the spread of coronavirus. However, many experts and scientists cast doubt on the effectiveness of those apps. For each app, a large number of reviews have been entered by end-users in app stores.

Objective

Our goal is to gain insights into the user reviews of those apps, and to find out the main problems that users have reported. Our focus is to assess the "software in society" aspects of the apps, based on user reviews.

Method

We selected nine European national apps for our analysis and used a commercial app-review analytics tool to extract and mine the user reviews. For all the apps combined, our dataset includes 39,425 user reviews.

Results

Results show that users are generall

SUBMITTER: Garousi V 

PROVIDER: S-EPMC8566091 | biostudies-literature | 2022 Feb

REPOSITORIES: biostudies-literature