Topic Modeling Reveals Distinct Interests within an Online Conspiracy Forum
نویسندگان
چکیده
منابع مشابه
Topic Modeling Reveals Distinct Interests within an Online Conspiracy Forum
Conspiracy theories play a troubling role in political discourse. Online forums provide a valuable window into everyday conspiracy theorizing, and can give a clue to the motivations and interests of those who post in such forums. Yet this online activity can be difficult to quantify and study. We describe a unique approach to studying online conspiracy theorists which used non-negative matrix f...
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In recommender systems, modeling user interest is a basic step to understand user's personal features. Traditional methods mostly just use the items that the target users navigated as their interests, which makes the inherent information unclear to the system and thus the recommendations are not intelligent enough. In this paper, we investigate the utility of topic model called LDA for the task...
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Bulletin Board Systems (BBSs) have demonstrated their usefulness in spreading information. In BBS forums, a few posts that address currently popular social topics attract a lot of attention, and different users are interested in many different discussion topics. We investigate topic cluster features and user interests of an actual BBS forum, analyzing user posting and replying behavior. Accordi...
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This paper addresses the problem of discovering temporal authors interests. Traditionally some approaches used stylistic features or graph connectivity and ignored semantics-based intrinsic structure of words present between documents, while previous topic modeling approaches considered semantics without time factor, which is against the spirits of writing. We present Temporal-Author-Topic (TAT...
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Latent Dirichlet allocation (LDA) is a topic model that has been applied to various fields, including user profiling and event summarization on Twitter. When LDA is applied to tweet collections, it generally treats all aggregated tweets of a user as a single document. Twitter-LDA, which assumes a single tweet consists of a single topic, has been proposed and has shown that it is superior in top...
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ژورنال
عنوان ژورنال: Frontiers in Psychology
سال: 2018
ISSN: 1664-1078
DOI: 10.3389/fpsyg.2018.00189