2016
DOI: 10.1007/978-3-319-47093-1_20
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Sentiment Analysis of Media in German on the Refugee Crisis in Europe

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Cited by 14 publications
(7 citation statements)
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“…Sentiment analysis has been recognised in different studies as a technique to identify the polarity (positive, neutral or negative) of a large set of texts from programming techniques. In the study of communication discourses, sentiment analysis has been mostly used for the identification of polarity in discussion in social media such as Twitter (Kumar and Jaiswal 2020) or Facebook (Sandoval-Almazan and Valle-Cruz 2020;Haryanto et al 2019) and has also been employed in characterising the polarity of mainstream media discourses (Boukes et al 2020;Backfried and Shalunts 2016;Padmaja et al 2014;Balahur and Steinberger 2009;Godbole et al 2007). Similarly, studies by Leavy (2019Leavy ( , 2020 and Jia et al (2016) have employed such techniques in the research of media portrayal of women.…”
Section: Methodsmentioning
confidence: 99%
“…Sentiment analysis has been recognised in different studies as a technique to identify the polarity (positive, neutral or negative) of a large set of texts from programming techniques. In the study of communication discourses, sentiment analysis has been mostly used for the identification of polarity in discussion in social media such as Twitter (Kumar and Jaiswal 2020) or Facebook (Sandoval-Almazan and Valle-Cruz 2020;Haryanto et al 2019) and has also been employed in characterising the polarity of mainstream media discourses (Boukes et al 2020;Backfried and Shalunts 2016;Padmaja et al 2014;Balahur and Steinberger 2009;Godbole et al 2007). Similarly, studies by Leavy (2019Leavy ( , 2020 and Jia et al (2016) have employed such techniques in the research of media portrayal of women.…”
Section: Methodsmentioning
confidence: 99%
“…Immigration a charged political issue and is actively discussed on social networks. Several studies have measured population level sentiment on this topic in Twitter [18], [1], [6]. It was found in [18] that English posts about the refugee crisis were more likely to have a negative opinion on the topic.…”
Section: Our Contributionsmentioning
confidence: 99%
“…Other researchers have also focused on specific events, and in particular on disinformation. Wilson et al [92] analyze comments on Twitter around the Aleppo boy conspiracy theory, while Backfried et al [6] investigate attitudes towards refugees in Europe on German media. Starbird [79] studies how disinformation related to massive shooting events spreads on Twitter, and Conover et al [18] characterize Twitter users' political orientations based on tweets related to the 2010 U.S. Congress midterm elections.…”
Section: Related Workmentioning
confidence: 99%