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 …

[图书][B] Natural language processing for social media

A Farzindar, D Inkpen, G Hirst - 2015 - Springer
In recent years, online social networking has revolutionized interpersonal communication.
The newer research on language analysis in social media has been increasingly focusing …

Stance detection benchmark: How robust is your stance detection?

B Schiller, J Daxenberger, I Gurevych - KI-Künstliche Intelligenz, 2021 - Springer
Stance detection (StD) aims to detect an author's stance towards a certain topic and has
become a key component in applications like fake news detection, claim validation, or …

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 …

Use of large language models for stance classification

IJ Cruickshank, LHX Ng - arXiv preprint arXiv:2309.13734, 2023 - arxiv.org
Stance detection, the task of predicting an author's viewpoint towards a subject of interest,
has long been a focal point of research. Current stance detection methods predominantly …

Rumor stance classification in online social networks: The state-of-the-art, prospects, and future challenges

S Jamialahmadi, I Sahebi, MM Sabermahani… - IEEE …, 2022 - ieeexplore.ieee.org
The emergence of the Internet as a ubiquitous technology has facilitated the rapid evolution
of social media as the leading virtual platform for communication, content sharing, and …

Machine learning approaches for rumor detection on social media platforms: a comprehensive survey

VU Gongane, MV Munot, A Anuse - Advanced machine intelligence and …, 2022 - Springer
The inescapable utilization of Internet and social media has opened doors of social event
continuous data across the globe in an exceptionally limited capacity to focus time. Social …

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 …

Fine-tune longformer for jointly predicting rumor stance and veracity

A Khandelwal - Proceedings of the 3rd ACM India Joint International …, 2021 - dl.acm.org
Increased usage of social media caused the popularity of news and events that are not even
verified, resulting in the spread of rumors all over the web. Due to widely available social …

Incorporating count-based features into pre-trained models for improved stance detection

A Prakash, HT Madabushi - arXiv preprint arXiv:2010.09078, 2020 - arxiv.org
The explosive growth and popularity of Social Media has revolutionised the way we
communicate and collaborate. Unfortunately, this same ease of accessing and sharing …