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量化推特和转发的政治倾向

Quantifying Political Leaning from Tweets and Retweets
课程网址: https://videolectures.net/videos/icwsm2013_ming_political_leaning  
主讲教师: Felix Ming Fai Wong
开课单位: 信息不详。欢迎您在右侧留言补充。
开课时间: 2014-04-03
课程语种: 英语
中文简介:
媒体和专家们很快就接受了在线社交网络来传播自己的观点。但专家的观点和新闻报道往往带有明显的政治偏见,这在2012年竞争激烈的美国总统选举中得到了广泛的证明。鉴于推特等网站上此类数据的广泛可用性,一个自然的问题是,我们是否可以使用OSN数据量化媒体的政治倾向。在这项工作中,通过绘制推特和转发行为之间的对应关系,我们将政治倾向估计表述为不适定线性逆问题。结果是一种简单且可扩展的方法,不需要对网络拓扑有明确的了解。我们使用4月至11月收集的1.19亿条与选举相关的推文数据集来评估我们的方法,并使用它来研究知名推特用户和媒体来源的政治倾向。
课程简介: Media outlets and pundits have been quick to embrace online social networks to disseminate their own opinions. But pundits’ opinions and news coverage are often marked by a clear political bias, as widely evidenced during the fiercely contested 2012 U.S. presidential elections. Given the wide availability of such data from sites like Twitter, a natural question is whether we can quantify the political leanings of media outlets using OSN data. In this work, by drawing a correspondence between tweeting and retweeting behavior, we formulate political leaning estimation as an ill-posed linear inverse problem. The result is a simple and scalable approach that does not require explicit knowledge of the network topology. We evaluate our method with a dataset of 119 million election-related tweets collected from April to November, and use it to study the political leaning of prominent tweeters and media sources.
关 键 词: 社交网络; 政治偏见; 不适定线性逆问题
课程来源: 视频讲座网
数据采集: 2025-04-23:yuhongrui
最后编审: 2025-04-23:yuhongrui
阅读次数: 2