Results 21 to 30 of about 4,967,798 (324)
Stance Detection in COVID-19 Tweets [PDF]
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers), 2021 The prevalence of the COVID-19 pandemic in day-to-day life has yielded large amounts of stance detection data on social media sites, as users turn to social media to share their views regarding various issues related to the pandemic, e.g. stay at home mandates and wearing face masks when out in public.
Kyle Glandt +4 more
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Multi-Task Stance Detection with Sentiment and Stance Lexicons [PDF]
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP), 2019 Stance detection aims to detect whether the opinion holder is in support of or against a given target. Recent works show improvements in stance detection by using either the attention mechanism or sentiment information. In this paper, we propose a multi-task framework that incorporates target-specific attention mechanism and at the same time takes ...
Yingjie Li 0008, Cornelia Caragea
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International Journal of Computational Intelligence Systems, 2023 Zero-shot stance detection is both crucial and challenging because it demands detecting the stances of previously unseen targets in the inference stage.
Yu Zhang, Chunling Wang, Jia Wang
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Guiding Computational Stance Detection with Expanded Stance Triangle Framework
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023 Main Conference in ACL ...
Zhengyuan Liu +3 more
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Exploring the Effect of Spreading Fake News Debunking Based on Social Relationship Networks
Frontiers in Physics, 2022 Fake news spreads rapidly on social networks; the aim of this study is to compare the characteristics of the social relationship networks (SRNs) of refuters and non-refuters to provide a scientific basis for developing effective strategies for debunking ...
Xin Wang, Fan Chao, Ning Ma, Guang Yu
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Stance Detection Based on User Connection [PDF]
Jisuanji kexue, 2022 The main purpose of stance detection is to mine users’ attitude towards topics or events.Different from other text classification tasks,the expression about stance is more obscure,and the attitude is more sensitive to users.The current stance detection ...
LI Zi-yi, ZHOU Xia-bing, WANG Zhong-qing, ZHANG Min
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Ternion: An Autonomous Model for Fake News Detection
Applied Sciences, 2021 In recent years, the consumption of social media content to keep up with global news and to verify its authenticity has become a considerable challenge. Social media enables us to easily access news anywhere, anytime, but it also gives rise to the spread
Noman Islam +7 more
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A Dataset for Multi-Target Stance Detection [PDF]
Proceedings of the 15th Conference of the European Chapter of the
Association for Computational Linguistics: Volume 2, Short Papers, 2017 Current models for stance classification often treat each target independently, but in many applications, there exist natural dependencies among targets, e.g., stance towards two or more politicians in an election or towards several brands of the same product. In this paper, we focus on the problem of multi-target stance detection.
Sobhani, P., Inkpen, D., Zhu, X.
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IEEE Access, 2023 The coronavirus pandemic has undoubtedly been one of the major recent events that have affected our society at the global level. During this period, unprecedented measures have been imposed worldwide by authorities in an effort to contain the spread of ...
Erik-Robert Kovacs +3 more
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The Effect of Data Augmentation Techniques on Persian Stance Detection [PDF]
International Journal of Information and Communication Technology Research, 2023 The purpose of stance detection is to identify the author's stance toward a particular topic or claim. Stance detection has become a key component in applications such as fake news detection, claim validation, argument searching, and author profiling ...
Mojgan Farhoodi +2 more
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