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Troll Tweet Detection Using Contextualized Word Representations. (arXiv:2207.08230v2 [cs.CL] UPDATED)
Aug. 10, 2022, 1:11 a.m. | Seyhmus Yilmaz, Sultan Zavrak
cs.CL updates on arXiv.org arxiv.org
In recent years, numerous troll accounts that manipulate social media
sentiment have emerged. Due to the use of fake and automated accounts by
businesses, abusers, and nation-state-sponsored troll farms, detecting and
eliminating trolling is a crucial issue for social networking platforms.
Various NLP techniques are used to extract information from social networking
text, such as tweets on Twitter, to identify the messages originating from fake
accounts. In this context, this paper implements and compares nine deep
learning-based architectures for troll …
More from arxiv.org / cs.CL updates on arXiv.org
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