Volume 16, Issue 3 (7-2024)                   itrc 2024, 16(3): 25-34 | Back to browse issues page

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Bokaei M H, Nassajian M, Farhoodi M, Davoudi Shamsi M. Claim Detection in Persian Twitter Posts. itrc 2024; 16 (3) :25-34
URL: http://journal.itrc.ac.ir/article-1-588-en.html
Claim Detection in Persian Twitter Posts
Mohammad Hadi Bokaei 1, Minoo Nassajian2 , Mojgan Farhoodi , Mona Davoudi Shamsi3
1- ICT Research Institute Tehran, Iran , mh.bokaei@itrc.ac.ir
2- Alumni of Computational Linguistics, Sharif University of Technology
3- ICT Research Institute Tehran, Iran
Abstract:   (1414 Views)
The proliferation of false information on social media has profound negative impacts across various aspects of people's lives. To mitigate these effects, numerous studies have focused on developing automated factchecking systems aimed at enhancing the accuracy and reliability of news and information. Claim detection, recognized as the initial stage in constructing such systems, has been explored in several languages. In our paper, we introduce a corpus of Persian tweets annotated with 11 labels derived from linguistic analysis, representing different types of claims. Additionally, we establish a baseline claim detection model to assess the dataset. This study frames claim detection as a classification task and employs a transformer-based approach to train a multi-label classifier capable of identifying various types of claims in Persian texts. 
Keywords: Automatic Claim Detection, Persian Language Processing, Low-resource language, Multi Label Classification
Full-Text [PDF 840 kb]   (641 Downloads)    
Type of Study: Research | Subject: Information Technology
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