Improved Stance Prediction in a User Similarity Feature Space
Predicting the stance of social media users on a topic can be challenging, particularly for users who never express explicit stances. Earlier work has shown that using users' historical or non-relevant tweets can be used to predict stance. We build on prior work by making use of users' int...
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| Abstract | Predicting the stance of social media users on a topic can be challenging, particularly for users who never express explicit stances. Earlier work has shown that using users' historical or non-relevant tweets can be used to predict stance. We build on prior work by making use of users' interaction elements, such as retweeted accounts and mentioned hashtags, to compute the similarities between users and to classify new users in a user similarity feature space. We show that this approach significantly improves stance prediction on two datasets that differ in terms of language, topic, and cultural background. |
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| AbstractList | Predicting the stance of social media users on a topic can be challenging, particularly for users who never express explicit stances. Earlier work has shown that using users' historical or non-relevant tweets can be used to predict stance. We build on prior work by making use of users' interaction elements, such as retweeted accounts and mentioned hashtags, to compute the similarities between users and to classify new users in a user similarity feature space. We show that this approach significantly improves stance prediction on two datasets that differ in terms of language, topic, and cultural background. |
| Author | Magdy, Walid Darwish, Kareem Zanouda, Tahar |
| Author_xml | – sequence: 1 givenname: Kareem surname: Darwish fullname: Darwish, Kareem email: kdarwish@hbku.edu.qa organization: Qatar Computing Research Institute, HBKU, Qatar – sequence: 2 givenname: Walid surname: Magdy fullname: Magdy, Walid email: wmagdy@inf.ed.ac.uk organization: School of Informatics, The University of Edinburgh, UK – sequence: 3 givenname: Tahar surname: Zanouda fullname: Zanouda, Tahar email: tzanouda@hbku.edu.qa organization: Qatar Computing Research Institute, HBKU, Qatar |
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| Editor | Diesner, Jana Ferrari, Elena Xu, Guandong |
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| PublicationTitle | Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2017 ASONAM 2017 : proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining : Sydney, Australia, 31 July-03 August, 2017 |
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| SubjectTerms | Computing methodologies Computing methodologies -- Artificial intelligence Computing methodologies -- Artificial intelligence -- Natural language processing Computing methodologies -- Artificial intelligence -- Natural language processing -- Discourse, dialogue and pragmatics Computing methodologies -- Artificial intelligence -- Natural language processing -- Lexical semantics Human-centered computing Human-centered computing -- Collaborative and social computing Human-centered computing -- Collaborative and social computing -- Collaborative and social computing systems and tools Human-centered computing -- Collaborative and social computing -- Collaborative and social computing systems and tools -- Social networking sites Information systems Information systems -- Information retrieval Information systems -- Information retrieval -- Document representation Information systems -- Information retrieval -- Document representation -- Content analysis and feature selection Information systems -- Information retrieval -- Retrieval tasks and goals Information systems -- Information retrieval -- Retrieval tasks and goals -- Sentiment analysis Information systems -- Information systems applications Information systems -- Information systems applications -- Collaborative and social computing systems and tools Information systems -- Information systems applications -- Collaborative and social computing systems and tools -- Social networking sites Information systems -- World Wide Web Information systems -- World Wide Web -- Web applications Information systems -- World Wide Web -- Web applications -- Social networks |
| Title | Improved Stance Prediction in a User Similarity Feature Space |
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