Stance detection: A survey

D Küçük, F Can - ACM Computing Surveys (CSUR), 2020 - dl.acm.org
Automatic elicitation of semantic information from natural language texts is an important
research problem with many practical application areas. Especially after the recent …

A survey on stance detection for mis-and disinformation identification

M Hardalov, A Arora, P Nakov, I Augenstein - arXiv preprint arXiv …, 2021 - arxiv.org
Understanding attitudes expressed in texts, also known as stance detection, plays an
important role in systems for detecting false information online, be it misinformation …

Exploring deep neural networks for rumor detection

MZ Asghar, A Habib, A Habib, A Khan, R Ali… - Journal of Ambient …, 2021 - Springer
The widespread propagation of numerous rumors and fake news have seriously threatened
the credibility of microblogs. Previous works often focused on maintaining the previous state …

Modeling conversation structure and temporal dynamics for jointly predicting rumor stance and veracity

P Wei, N Xu, W Mao - arXiv preprint arXiv:1909.08211, 2019 - arxiv.org
Automatically verifying rumorous information has become an important and challenging task
in natural language processing and social media analytics. Previous studies reveal that …

A survey on rumor detection and prevention in social media using deep learning

B Pattanaik, S Mandal, RM Tripathy - Knowledge and Information Systems, 2023 - Springer
In the current digital era, massive amounts of unreliable, purposefully misleading material,
such as texts and images, are being shared widely on various web platforms to deceive the …

Review of stance detection for rumor verification in social media

HF Alsaif, HD Aldossari - Engineering Applications of Artificial Intelligence, 2023 - Elsevier
Social media is a perfect breeding ground for false rumors due to the simplicity of sharing
information, which may have negative implications in a variety of domains, including …

Coupled hierarchical transformer for stance-aware rumor verification in social media conversations

J Yu, J Jiang, LMS Khoo, HL Chieu, R Xia - 2020 - ink.library.smu.edu.sg
The prevalent use of social media enables rapid spread of rumors on a massive scale,
which leads to the emerging need of automatic rumor verification (RV). A number of previous …

Can machines learn to detect fake news? a survey focused on social media

F Cardoso Durier da Silva, R Vieira, AC Garcia - 2019 - scholarspace.manoa.hawaii.edu
Through a systematic literature review method, in this work we searched classical electronic
libraries in order to find the most recent papers related to fake news detection on social …

Rumor detection in social networks via deep contextual modeling

APB Veyseh, MT Thai, TH Nguyen, D Dou - Proceedings of the 2019 …, 2019 - dl.acm.org
Fake news and rumors constitute a major problem in social networks recently. Due to the
fast information propagation in social networks, it is inefficient to use human labor to detect …

Stanceosaurus: Classifying stance towards multicultural misinformation

J Zheng, A Baheti, T Naous, W Xu… - Proceedings of the 2022 …, 2022 - aclanthology.org
We present Stanceosaurus, a new corpus of 28,033 tweets in English, Hindi and Arabic
annotated with stance towards 250 misinformation claims. As far as we are aware, it is the …