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10.3389/fdata.2020.00032 http://scihub22266oqcxt.onion/10.3389/fdata.2020.00032 33693405!7931924!33693405     free     free     free Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Front+Big+Data 2020 ; 3 (ä): 32 Nephropedia Template TP {{tp|p=33693405|t=2020. Dashboard of Sentiment in Austrian Social Media During COVID-19 |pdf=|usr=}}{{33693405}} gab.com Text Dashboard of Sentiment in Austrian Social Media During COVID-19 JO: Front Big Data http://www.kidney.de/pget.php?&tw=1&pmid=33693405 #FOAvip To track online emotional expressions on social media platforms close to real-time during the COVID-19 pandemic, we built a self-updating monitor of emotion dynamics using digital traces from three different data sources in Austria. This allows decision makers and the interested public to assess dynamics of sentiment online during the pandemic. We used web scraping and API access to retrieve data from the news platform derstandard.at, Twitter, and a chat platform for students. We documented the technical details of our workflow to provide materials for other researchers interested in building a similar tool for different contexts. Automated text analysis allowed us to highlight changes of language use during COVID-19 in comparison to a neutral baseline. We used special word clouds to visualize that overall difference. Longitudinally, our time series showed spikes in anxiety that can be linked to several events and media reporting. Additionally, we found a marked decrease in anger. The changes lasted for remarkably long periods of time (up to 12 weeks). We have also discussed these and more patterns and connect them to the emergence of collective emotions. The interactive dashboard showcasing our data is available online at http://www.mpellert.at/covid19_monitor_austria/. Our work is part of a web archive of resources on COVID-19 collected by the Austrian National Library. Twit Text FOAVip Dashboard of Sentiment in Austrian Social Media During COVID-19 ????Front Big Data http://www.kidney.de/pget.php?&tw=1&pmid=33693405 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33693405 #FOAvip English Wikipedia <ref>{{Cite pmid|33693405}}</ref> Dashboard of Sentiment in Austrian Social Media During COVID-19 #MMPMID33693405 Pellert M; Lasser J; Metzler H; Garcia D Front Big Data 2020[]; 3 (ä): 32 PMID33693405show ga To track online emotional expressions on social media platforms close to real-time during the COVID-19 pandemic, we built a self-updating monitor of emotion dynamics using digital traces from three different data sources in Austria. This allows decision makers and the interested public to assess dynamics of sentiment online during the pandemic. We used web scraping and API access to retrieve data from the news platform derstandard.at, Twitter, and a chat platform for students. We documented the technical details of our workflow to provide materials for other researchers interested in building a similar tool for different contexts. Automated text analysis allowed us to highlight changes of language use during COVID-19 in comparison to a neutral baseline. We used special word clouds to visualize that overall difference. Longitudinally, our time series showed spikes in anxiety that can be linked to several events and media reporting. Additionally, we found a marked decrease in anger. The changes lasted for remarkably long periods of time (up to 12 weeks). We have also discussed these and more patterns and connect them to the emergence of collective emotions. The interactive dashboard showcasing our data is available online at http://www.mpellert.at/covid19_monitor_austria/. Our work is part of a web archive of resources on COVID-19 collected by the Austrian National Library. äDashboard of Sentiment in Austrian Social Media During COVID-19 (epmc).pdf DeepDyve Pubget Overpricing