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Social media as a political backchannel: Twitter use during televised election debates in Norway

机译:社交媒体作为政治渠道:挪威在电视大选辩论中使用推特

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Purpose - The purpose of this paper is to explore how Twitter is used as a political backchannel and potential agenda setter during two televised political debates during the Norwegian election in 2011. The paper engages with current debates about the role of social media in audience participation and traditional media's changing role as gatekeepers and agenda setter. Design/methodology/approach - A combination of quantitative and qualitative methods. By introducing and using the MSC multiple step analysis model on the Twitter datasets, the authors are able to analyse the flow of thousands of tweets and compare them with topics discussed in the televised debates. Findings - The paper finds that the same topics are discussed on Twitter as on TV, but "the debate about the debate" or Meta talk tweets reveal critical scrutiny of the agenda. The paper identifies a clear pattern of political fandom and media criticism in the "debate about the debate", indicating that Meta talk in social media can function as a critical public sphere, also in real time, which has not been identified in existing studies of Twitter and political TV shows. Originality/value - The analysis is unique in the sense that the paper analyses a smaller, national Twitter population in deeper detail than what is common in larger Twitter studies related to political televised debates. The MSC model can be used in future Twitter studies to uncover layers in the data material and structure the findings.
机译:目的-本文的目的是探讨在2011年挪威大选的两次电视政治辩论期间,如何将Twitter用作政治反向渠道和潜在的议程制定者。本文涉及有关社交媒体在受众参与和参与中的作用的当前辩论。传统媒体作为守门人和议程制定者的角色正在发生变化。设计/方法/方法-定量和定性方法的组合。通过在Twitter数据集上引入并使用MSC多步分析模型,作者能够分析成千上万条推文的流量,并将其与电视辩论中讨论的主题进行比较。调查结果-该论文发现,Twitter和电视上讨论的主题相同,但是“有关辩论的辩论”或Meta对话推文显示了对议程的严格审查。该论文在“关于辩论的辩论”中确定了一种政治狂热和媒体批评的清晰模式,表明社交媒体中的元谈话可以实时地充当关键的公共领域,这在现有的研究中尚未发现。 Twitter和政治电视节目。原创性/价值-这种分析是独特的,因为该论文比与政治电视辩论有关的较大Twitter研究中的常见现象更详细地分析了较小的全国Twitter人群。可以在未来的Twitter研究中使用MSC模型来揭示数据材料中的层并构造发现。

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