Emotionalität in der COVID-19-Krisenkommunikation von Behörden und unabhängigen Expert*innen auf TwitterEine Sentiment-Analyse für das erste PandemiejahrSentiments in the COVID-19 crisis communication of German authorities and independent experts on TwitterA sentiment analysis for the first year of the pandemic

被引:0
作者
Larissa S. Drescher
Jutta Roosen
Katja Aue
Kerstin Dressel
Wiebke Schär
Anne Götz
机构
[1] C³ team GbR,TUM School of Management, Lehrstuhl für Marketing und Konsumforschung
[2] Technische Universität München,undefined
[3] Süddeutsches Institut für empirische Sozialforschung e. V.,undefined
来源
Bundesgesundheitsblatt - Gesundheitsforschung - Gesundheitsschutz | 2023年 / 66卷
关键词
Öffentlichkeitsarbeit; SARS-CoV-2; Behördenkommunikation; Expertenkommunikation; Social Media Analytics; Sentiment; Public Relations; SARS-CoV-2; Authorities communication; Experts communications; Social Media Analytics; Sentiments;
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页码:689 / 699
页数:10
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[1]  
Ahmed W(2020)COVID-19 and the 5G conspiracy theory: social network analysis of Twitter data J Med Internet Res 22 e19458-169
[2]  
Vidal-Alaball J(2018)Eine meinungsstarke Minderheit als Stimmungsbarometer?! Über die Persönlichkeitseigenschaften aktiver Twitterer M&K 66 140-40
[3]  
Downing J(2017)Twitter and Facebook are not representative of the general population: political attitudes and demographics of British social media users Res Polit 4 205316801772000-25
[4]  
López Seguí F(2011)Twitter for crisis communication: lessons learned from Japan’s tsunami disaster IJWBC 7 392-e194
[5]  
Hölig S(2018)Twitter use in scientific communication revealed by visualization of information spreading by influencers within half a year after the Fukushima Daiichi nuclear power plant accident PLoS ONE 13 e0203594-167
[6]  
Mellon J(2013)Social media use during Japan’s 2011 earthquake: how Twitter transforms the locus of crisis communication Media Int Aust 149 28-252
[7]  
Prosser C(2014)#swineflu: the use of Twitter as an early warning and risk communication tool in the 2009 swine flu pandemic ACM Trans Manage Inf Syst 5 1-96
[8]  
Acar A(2021)What social media told us in the time of COVID-19: a scoping review Lancet Digit Health 3 e175-16
[9]  
Muraki Y(2021)Understanding the public discussion about the centers for disease control and prevention during the COVID-19 pandemic using Twitter data: text mining analysis study J Med Internet Res 23 e25108-541
[10]  
Tsubokura M(2021)The spread of COVID-19 crisis communication by German public authorities and experts on twitter: quantitative content analysis JMIR Public Health Surveill 7 e31834-343