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首页> 外文会议>IEEE International Symposium on Computer-Based Medical Systems >Public Perception of the German COVID-19 Contact-Tracing App Corona-Warn-App
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Public Perception of the German COVID-19 Contact-Tracing App Corona-Warn-App

机译：公众对德国Covid-19联系方式应用程序电晕 - 警告应用程序

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Several governments introduced or promoted the use of contact-tracing apps during the ongoing COVID-19 pandemic. In Germany, the related app is called Corona—Warn-App, and by end of 2020, it had 22.8 million downloads. Contact tracing is a promising approach for containing the spread of the novel coronavirus. It is only effective if there is a large user base, which brings new challenges like app users unfamiliar with using smartphones or apps. As Corona-Warn-App is voluntary to use, reaching many users and gaining a positive public perception is crucial for its effectiveness. Based on app reviews and tweets, we are analyzing the public perception of Corona-Warn-App. We collected and analyzed all 78,963 app reviews for the Android and iOS versions from release (June 2020) to beginning of February 2021, as well as all original tweets until February 2021 containing #CoronaWarnApp (43,082). For the reviews, the most common words and n-grams point towards technical issues, but it remains unclear, to what extent this is due to the app itself, the used Exposure Notification Framework, system settings on the user's phone, or the user's misinterpretations of app content. For Twitter data, overall, based on tweet content, frequent hashtags, and interactions with tweets, we conclude that the German Twitter-sphere widely reports adopting the app and promotes its use.
机译：若干政府在正在进行的Covid-19大流行期间介绍或促进了使用联系追踪应用程序。在德国，相关的应用程序称为Corona-Warn-App，并在2020年底之前，它下载了22.8百万。联系跟踪是一种有希望的方法，用于含有新型冠状病毒的传播。如果有大型用户群，它只会有效，这为使用智能手机或应用程序不熟悉的App用户带来了新的挑战。正如科罗长战争的应用程序自愿使用，达到许多用户并获得积极的公众感知对于其有效性至关重要。基于App评价和推文，我们正在分析Corona-Warn-App的公众感知。我们收集并分析了来自发布（6月2020年）到2月2021年初的Android和IOS版本的所有78,963个应用审查，以及所有原始推文，直到2021年2月包含#coronawarnapp（43,082）。对于评论，最常见的单词和n-grams指向技术问题，但它仍然尚不清楚这一点是由于应用程序本身，使用过的曝光通知框架，用户手机上的系统设置，或者用户的误解应用内容。对于Twitter数据，总体而言，基于推文内容，频繁的HASHTAG和与推文的交互，我们得出结论，德国推特领域广泛报告采用该应用程序，并促进其使用。

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