发现推特上针对绿党的负面竞选活动

2022 Ninth International Conference on Social Networks Analysis, Management and Security (SNAMS) Pub Date : 2022-11-29 DOI:10.1109/SNAMS58071.2022.10062668

André Schmale, Volker Mittendorf

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引用次数: 0

摘要

本文研究了2021年德国联邦选举前后，针对绿党个人或该党本身的推特负面竞选活动。以标签和账号为基础，将来自社交媒体的各种话语元素作为一个概念和主题网络进行重构和分析。在此过程中，将使用定量文本分析、情感分析、基于词典的民粹主义传播风格比较和结构主题模型来检查数据。此外，政治话语分析的框架被用来更好地解释语境中的负面竞选。

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Detecting Negative Campaigning on Twitter Against The Greens

This article examines negative campaigning on Twitter against individual actors of the Green Party or against the party itself around the 2021 federal election in Germany. Based on hashtags and accounts, the various discourse elements from the social media are reconstructed and analyzed as a conceptual and thematic network. In doing so, the data will be examined using quantitative text analysis, sentiment analysis, dictionary-based comparison of populist communication style, and structural topic model. In addition, the framework of political discourse analysis is used to better interpret negative campaigning in context.

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来源期刊

2022 Ninth International Conference on Social Networks Analysis, Management and Security (SNAMS)

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