2020
DOI: 10.1177/0267323120922068
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Converging on a nativist core? Comparing issues on the Facebook pages of the Pegida movement and the Alternative for Germany

Abstract: Computational methods offer a new perspective on the evolving agendas of right-wing movements and parties online. This article showcases computational approaches to text analysis (specifically so-called topic models) to diachronically investigate nativist right-wing issues in social media by comparing comments posted on the Facebook page of the Pegida movement to those of the Alternative for Germany. After describing topic modelling as an increasingly popular method and drawing on the literature on right-wing … Show more

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Cited by 14 publications
(15 citation statements)
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References 49 publications
(58 reference statements)
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“…With particular focus on right-wing movements, Stier et al (2017) compared Facebook use by Pegida and German political parties, showing that both right-wing populist actors, Pegida and the AfD party, appeal to similar target groups. With regards to user engagement, Puschmann et al (2020) also compared the Facebook pages of Pegida and the AfD party using an inductive computational approach. They find that the prevalence of shared issues, such as immigration differed between the two pages in general, and also changed over time.…”
Section: Related Work On Social Media Representations Of Right-wing Movementsmentioning
confidence: 99%
“…With particular focus on right-wing movements, Stier et al (2017) compared Facebook use by Pegida and German political parties, showing that both right-wing populist actors, Pegida and the AfD party, appeal to similar target groups. With regards to user engagement, Puschmann et al (2020) also compared the Facebook pages of Pegida and the AfD party using an inductive computational approach. They find that the prevalence of shared issues, such as immigration differed between the two pages in general, and also changed over time.…”
Section: Related Work On Social Media Representations Of Right-wing Movementsmentioning
confidence: 99%
“…For instance, Nicholls and Culpepper (2020) show how STM performs to identify frames based upon the content of articles. Also, Puschmann et al (2020) use STM to study the evolving agendas of right-wing movements and parties on Facebook.…”
Section: Methodsmentioning
confidence: 99%
“…Methodologically, our contribution is demonstrating how STM can add to the analysis of political fragmentation in the online domain. STM has been increasingly used within the field of political communication (Nicholls and Culpepper 2020; Puschmann et al 2020). We show how STM can be applied, in combination with tools borrowed from network science, to investigate topic overlaps between media outlets and political actors and thereby assess the levels of political fragmentation in the online domain.…”
Section: Introductionmentioning
confidence: 99%
“…To summarize, there has been a considerable growth of right-wing populist protests, movements and parties in Germany, which substantially base their raison d’être on conspiracy theories such as the ‘Great Replacement’ while making vast use of online communication and social media ( Puschmann et al, 2020 ). Germany is one of the most influential political and economic players in Europe and is home to a stack of right-wing (populist) movements that have gained momentum over the course of the past decades.…”
Section: Right-wing Populist Conspiracy Discourse and The German Contextmentioning
confidence: 99%
“…Conspiracy theories are frequently deployed by fringe political actors that aim to undermine political institutions and boost their own claims to legitimacy. Examples on the right include individual politicians, parties and movements ( Engesser et al, 2017 ; Gerbaudo, 2018 ; Puschmann et al, 2020 ). Conspiracy theories relating to controversial political issues in particular appear to activate supporters of both right-wing and left-wing causes by tapping into strong emotions, such as alienation, fear and resentment ( Hameleers, 2021 ).…”
Section: Introductionmentioning
confidence: 99%