Related papers: A First Look at Android Applications in Google Play related to Covid-19

A First Look at Android Applications in Google Play related to Covid-19

URL: http://arxiv.org/abs/2006.11002v2
Date: Fri, 15 Jan 2021 10:04:56 GMT
Title: A First Look at Android Applications in Google Play related to Covid-19
Authors: Jordan Samhi, Kevin Allix, Tegawend\'e F. Bissyand\'e, Jacques Klein
Abstract summary: This study focuses on the Android ecosystem and investigates Covid-related Android apps. Our study yields a number of empirical insights that contribute to enlarge the knowledge on Covid-related apps.
Score: 5.66497960945637
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Abstract: Due to the convenience of access-on-demand to information and business solutions, mobile apps have become an important asset in the digital world. In the context of the Covid-19 pandemic, app developers have joined the response effort in various ways by releasing apps that target different user bases (e.g., all citizens or journalists), offer different services (e.g., location tracking or diagnostic-aid), provide generic or specialized information, etc. While many apps have raised some concerns by spreading misinformation or even malware, the literature does not yet provide a clear landscape of the different apps that were developed. In this study, we focus on the Android ecosystem and investigate Covid-related Android apps. In a best-effort scenario, we attempt to systematically identify all relevant apps and study their characteristics with the objective to provide a First taxonomy of Covid-related apps, broadening the relevance beyond the implementation of contact tracing. Overall, our study yields a number of empirical insights that contribute to enlarge the knowledge on Covid-related apps: (1) Developer communities contributed rapidly to the Covid-19, with dedicated apps released as early as January 2020; (2) Covid-related apps deliver digital tools to users (e.g., health diaries), serve to broadcast information to users (e.g., spread statistics), and collect data from users (e.g., for tracing); (3) Covid-related apps are less complex than standard apps; (4) they generally do not seem to leak sensitive data; (5) in the majority of cases, Covid-related apps are released by entities with past experience on the market, mostly official government entities or public health organizations.

Related papers

A Large-Scale Empirical Study of COVID-19 Contact Tracing Mobile App Reviews [2.2957483176038584]
We collected reviews of 35 COVID-19 contact tracing apps developed by 34 countries across the globe. We group the app reviews into the following geographical regions: Asia, Europe, North America, Latin America, Africa, Middle East, and Australasia. While privacy could be a concern with such apps, we only find privacy-related topics in Australasia, North America, and Middle East. Users frequently complained about the lack of features, user interface and the negative impact of such apps on their mobile batteries.
arXiv Detail & Related papers (2024-04-28T09:31:36Z)
Software Engineering for OpenHarmony: A Research Roadmap [50.56072657598223]
Existing research efforts mainly focus on popular mobile platforms, namely Android and iOS. OpenHarmony, a newly open-sourced mobile platform, has rarely been considered. We present to the mobile software engineering community a research roadmap for encouraging our fellow researchers to contribute promising approaches to OpenHarmony.
arXiv Detail & Related papers (2023-11-02T15:27:09Z)
A Large-Scale Exploratory Study of Android Sports Apps in the Google Play Store [14.58848716249407]
A single app category can often contain tens of thousands to hundreds of thousands of apps. This work aims to study a large number of apps from a single category (i.e., the sports category) It is concluded that analyzing a targeted category of apps (e.g., sports apps) can provide more specific insights than analyzing apps across different categories.
arXiv Detail & Related papers (2023-10-11T22:28:53Z)
Analysis of Longitudinal Changes in Privacy Behavior of Android Applications [79.71330613821037]
In this paper, we examine the trends in how Android apps have changed over time with respect to privacy. We examine the adoption of HTTPS, whether apps scan the device for other installed apps, the use of permissions for privacy-sensitive data, and the use of unique identifiers. We find that privacy-related behavior has improved with time as apps continue to receive updates, and that the third-party libraries used by apps are responsible for more issues with privacy.
arXiv Detail & Related papers (2021-12-28T16:21:31Z)
COVID-19 vs Social Media Apps: Does Privacy Really Matter? [6.411678616211634]
Many people around the world are worried about using or even downloading COVID-19 contact tracing mobile apps. Social Media & Productivity apps actually have substantially higher privacy and ethical issues compared with the majority of COVID-19 apps. Most of the COVID-19 apps are less accessible and stable compared to most Social Media apps.
arXiv Detail & Related papers (2021-03-01T02:08:34Z)
Market-level Analysis of Government-backed COVID-19 Contact Tracing Apps [7.222710562941077]
Government and public health authorities have launched a number of contact-tracing apps to help curb the spread of the COVID-19 pandemic. We perform the first market-level analysis of contact tracing apps.
arXiv Detail & Related papers (2020-12-20T08:43:03Z)
Emerging App Issue Identification via Online Joint Sentiment-Topic Tracing [66.57888248681303]
We propose a novel emerging issue detection approach named MERIT. Based on the AOBST model, we infer the topics negatively reflected in user reviews for one app version. Experiments on popular apps from Google Play and Apple's App Store demonstrate the effectiveness of MERIT.
arXiv Detail & Related papers (2020-08-23T06:34:05Z)
An Empirical Study of In-App Advertising Issues Based on Large Scale App Review Analysis [67.58267006314415]
We present a large-scale analysis on ad-related user feedback from App Store and Google Play. From a statistical analysis of 36,309 ad-related reviews, we find that users care most about the number of unique ads and ad display frequency during usage. Some ad issue types are addressed more quickly by developers than other ad issues.
arXiv Detail & Related papers (2020-08-22T05:38:24Z)
A Study of Knowledge Sharing related to Covid-19 Pandemic in Stack Overflow [69.5231754305538]
Study of 464 Stack Overflow questions posted mainly in February and March 2020 and leveraging the power of text mining. Findings reveal that indeed this global crisis sparked off an intense and increasing activity in Stack Overflow with most post topics reflecting a strong interest on the analysis of Covid-19 data.
arXiv Detail & Related papers (2020-04-18T08:19:46Z)
Comprehensive Instructional Video Analysis: The COIN Dataset and Performance Evaluation [100.68317848808327]
We present a large-scale dataset named as "COIN" for COmprehensive INstructional video analysis. COIN dataset contains 11,827 videos of 180 tasks in 12 domains related to our daily life. With a new developed toolbox, all the videos are annotated efficiently with a series of step labels and the corresponding temporal boundaries.
arXiv Detail & Related papers (2020-03-20T16:59:44Z)

This list is automatically generated from the titles and abstracts of the papers in this site.