6 research outputs found

    Comment Sections of News Websites as Counterpublic Spaces

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    Research scrutinizing political talk online has been developed largely against the backdrop of deliberative discursive norms and considered political talk without a systematic analysis of surrounding mass-mediated discourses. By contrast, this study operationalizes counterpublic theory as an alternative theoretical perspective and analyzes comments on news websites as a reaction to hegemonic mainstream public spheres. It juxtaposes a qualitative framing analysis of all articles about a new anti-Euro party in devotedly pro-European Germany published on 9 news websites in the week following the 2013 elections (n = 22) with a content analysis of all comments posted below these articles (n = 3,154). It finds counterpublic spheres differently shaped in comment sections of right- and left-leaning, and tabloid and nontabloid, outlets. Consequences for democracy are discussed

    Targeting dominant publics: How counterpublic commenters align their efforts with mainstream news

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    This study illustrates how the emphasis structure of counterpublic discourses surfacing online can be predicted by that of the dominant publics that these counterpublics—at the argumentative level—so resolutely oppose. Deploying a single common case study design, the article scrutinizes a counterpublic discourse that surfaced in the comment sections of Germany’s opinion-leading news websites in the week after the surprising electoral success of a new anti-Euro party, the Alternative für Deutschland (AfD). Quantitative content analysis identifies 75% of all comments posted (N = 2955) to all articles about the AfD (N = 19) as part of an anti-Euro counterpublic. While this counterpublic sharply opposed the editorial lines of Germany’s unanimously pro-common-currency media, it still aligned its efforts closely with this dominant public—albeit at a deeper level. As the findings demonstrate, the frequencies with which commenters adopted six emphasis frames were significantly predicted by the frequencies of these frames in mainstream news
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