Detecting rumors from microblogs with recurrent neural networks
Microblogging platforms are an ideal place for spreading rumors and automatically debunking rumors is a crucial problem. To detect rumors, existing approaches have relied on hand-crafted features for employing machine learning algorithms that require daunting manual effort. Upon facing a dubious cla...
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| Main Authors: | , , , , , , |
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| Format: | text |
| Language: | English |
| Published: |
Institutional Knowledge at Singapore Management University
2016
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| Subjects: | |
| Online Access: | https://ink.library.smu.edu.sg/sis_research/4630 https://ink.library.smu.edu.sg/context/sis_research/article/5633/viewcontent/537.pdf |
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| Institution: | Singapore Management University |
| Language: | English |