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The rapid dissemination of unverified information through social platforms like Twitter poses considerable dangers to societal stability. Identifying real versus fake claims is challenging, and previous work on rumor detection methods often fails to effectively capture propagation structure features. These methods also often overlook the presence o...
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... the text information of the graph nodes, we employ the Bidirectional Encoder Representations from Transformers (Nguyen, Vu & Tuan Nguyen, 2020), which has demonstrated effectiveness in areas including Sentiment Analysis , natural language inference, etc., to encode every post's content to form feature matrix X. The statistics are presented in Table 2. The claims in Twitter15 and Twitter16 are labeled as non-rumor, false rumor, true rumor, or unverified rumor, while the unbalanced dataset PHEME contains two binary labels: false rumor and non-rumor. ...Similar publications
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INTRODUCTION
Twitter (X) is widely used to reflect individual perspectives. We wished to study social insight regarding dementia using this digital platform.
METHODS
We conducted a cross‐sectional study retrieving tweets containing “dementia” or “#dementia” and their Thai equivalents. English tweets were randomly selected, while all Thai tweets we...
