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Exploring Thematic Diversity in News Coverage and Social Media Activity of Political Candidates Using Unsupervised Machine Learning

机译：使用无监督机器学习探索政治候选人的新闻报道和社交媒体活动中的主题多样性

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作者
Walter, Dror.;
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作者单位

University of Pennsylvania.;

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授予单位 University of Pennsylvania.;
学科
学位 Ph.D.
年度 2018
页码 274 p.
总页数 274
原文格式 PDF
正文语种 eng
中图分类
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2. Learning Politics From Social Media: Interconnection of Social Media Use for Political News and Political Issue and Process Knowledge [J] . Chang Sup Park Communication studies . 2019,第3期

机译：向社交媒体学习政治：社交媒体用于政治新闻和政治问题与过程知识的相互联系
3. Learning Politics From Social Media: Interconnection of Social Media Use for Political News and Political Issue and Process Knowledge [J] . Chang Sup Park Communication studies . 2019,第3期

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4. Different News for Different Views: Political News-Sharing Communities on Social Media through the UK General Election in 2015 [C] . Matthew J. Williams, Iulia Cioroianu, Hywel T. P. Williams International AAAI Conference on Web and Social Media Workshops . 2016

机译：不同意见的不同新闻：2015年英国大选中英国大选社交媒体的政治新闻共享社区
5. Candidate coverage: Newspaper photographs, ethnicity and community diversity. [D] . Schwartz, Jennifer. 2010

机译：候选报道：报纸照片，种族和社区多样性。
6. A scalable machine learning approach for measuring violent and peaceful forms of political protest participation with social media data [O] . Lefteris Jason Anastasopoulos, Jake Ryland Williams -1

机译：一种可扩展的机器学习方法用于通过社交媒体数据衡量暴力和和平形式的政治抗议参与
7. Social media mixed with news in political candidate judgment: Order effects on knowledge and affect [O] . Scott P. Robertson, Bryan Semaan, Sara Douglas, 2016

机译：社交媒体与政治候选人判决中的新闻混合：对知识和影响的命令影响

Exploring Thematic Diversity in News Coverage and Social Media Activity of Political Candidates Using Unsupervised Machine Learning

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