A Sociolinguistic Route to the Characterization and Detection of the Credibility of Events on TwitterAlthough Twitter constitutes as one of the primary sources of realtime news with users acting as the sensors updating the content from all across the globe, yet the spread of rumours via Twitter is becoming an increasingly alarming issue and is known to have caused significant damage already. We propose a credibility analysis approach based on the linguistic structure of the tweets. We not only characterize the Twitter events but also predict their perceived credibility of them by a novel deep learning architecture. We use the huge CREDBANK data to conduct our experiments. Some of our excit...
- doi
- 10.1145/3372923.3404795
- name
- A Sociolinguistic Route to the Characterization and Detection of the Credibility of Events on Twitter
- pages
- 10
- acm_url
- https://dl.acm.org/doi/10.1145/3372923.3404795
- authors
- Jasabanta Patro, Pushpendra Singh Rathore
- doi_url
- https://doi.org/10.1145/3372923.3404795
- license
- restricted
- summary
- Although Twitter constitutes as one of the primary sources of realtime news with users acting as the sensors updating the content from all across the globe, yet the spread of rumours via Twitter is becoming an increasingly alarming issue and is known to have caused significant damage already. We propose a credibility analysis approach based on the linguistic structure of the tweets. We not only characterize the Twitter events but also predict their perceived credibility of them by a novel deep learning architecture. We use the huge CREDBANK data to conduct our experiments. Some of our excit...
- keywords
- (empty)
- source_pdf
- HT-2020_51-35_3372923/3372923.3404795.pdf
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- full_text
- ccs_concepts
- (empty)
- displayAuthor
- Jasabanta Patro, Pushpendra Singh Rathore
- source_attribution
- Formatting converted from the ACM version of record under supplied ACM publication authorization.
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