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用Twitter预测选举：140个人物对政治情绪的揭示
Predicting Elections with Twitter: What 140 Characters Reveal about Political Sentiment |
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| 课程网址: |
http://videolectures.net/icwsm2010_sprenger_pet/
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| 主讲教师: |
Timm O. Sprenger
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| 开课单位: |
慕尼黑工业大学
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| 开课时间: |
2010-06-29
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| 课程语种: |
英语
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| 中文简介: |
Twitter是一个微博客网站，用户每天都可以阅读和撰写数百万条关于各种主题的短信。本研究利用德国联邦选举的背景调查Twitter是否被用作政治审议的论坛以及推特上的在线消息是否有效地反映了线下的政治情绪。使用LIWC文本分析软件，我们对超过100,000条消息进行了内容分析，其中包含对政党或政治家的提及。我们的结果表明，Twitter确实被广泛用于政治审议。我们发现提及党派的消息数量反映了选举结果。此外，两党的联合提及符合现实世界的政治关系和联盟。对推特政治情绪的分析表明，与政党和政治家的政治立场密切相关，表明Twitter消息的内容似乎可以反映出线下的政治格局。我们讨论了使用微博消息内容作为政治情绪的有效指标，并为进一步研究提供了建议。
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| 课程简介: |
Twitter is a microblogging website where users read and write millions of short messages on a variety of topics every day. This study uses the context of the German federal election to investigate whether Twitter is used as a forum for political deliberation and whether online messages on Twitter validly mirror offline political sentiment. Using LIWC text analysis software, we conducted a content-analysis of over 100,000 messages containing a reference to either a political party or a politician. Our results show that Twitter is indeed used extensively for political deliberation. We find that the mere number of messages mentioning a party reflects the election result. Moreover, joint mentions of two parties are in line with real world political ties and coalitions. An analysis of the tweets’ political sentiment demonstrates close correspondence to the parties' and politicians’ political positions indicating that the content of Twitter messages plausibly reflects the offline political landscape. We discuss the use of microblogging message content as a valid indicator of political sentiment and derive suggestions for further research.
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| 关 键 词: |
微博客网站; 政治审议; 微博消息
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| 课程来源: |
视频讲座网
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| 最后编审: |
2019-04-26：lxf
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| 阅读次数: |
36
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