Temiz, Orkun
Social media has become a prevalent platform for consuming and sharing information online. The vast amounts of information, shared easily and rapidly by social media, have increased the demand for fact-checking. Misinformation threatens not only the reputation of individuals and organizations but also society. When the COVID-19 pandemic broke out, the concerns around misinformation, which threatens public health and society, have significantly increased. In this thesis, a new zero-shot fact extraction and verification pipeline for user posts related to COVID-19 against the medical articles is proposed. The pipeline comprises preprocessing of user posts, claim extraction, document retrieval, evidence selection, and verdict assignment components. The proposed pipeline not only labels the claim but also presents the related evidence set extracted from the pipeline regarding the claim, which gives interpretable results for the society about the claim. Also, it does not need to see previously labeled posts unlike numerous supervised studies in the literature instead; it uses the zero-shot capabilities of existing models. The proposed pipeline obtains on-par and stable performance compared with the state-of-art supervised techniques for classifying raw user posts (CoAID) and rumors collected from social media (COVID-19 Rumors Dataset). On the other hand, it achieves superior performance in detecting new emerging misinformation topics.


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As the usage of social networks grows day by day, a single person can reach hundreds or thousands of people in a minute. Microblogging is the new era of social communication, which can be used anywhere thanks to mobile phones. People spend hours and use social networks extensively, expressing their feelings, interests and dislikes. If this data can be extracted and analyzed effectively; useful items, news or people can be recommended. There are high number of studies that extract keywords from texts in orde...
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Twitter has become an important social platform for individuals and people share a high number of information about their personal lives, interests and viral news during emergencies. As of 2014, Twitter has 240 million active users and approximately 500 million tweets are shared every day. This information overload in Twitter has become a serious problem due to the growing volume of messages and increasing number of users. Recommender systems help to overcome this challenge. Finding interesting users and ge...
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Social media use is on the rise throughout the world. Influenced by this trend, governments of all levels and sizes are establishing their social media (like Facebook) presence due to the communication and interaction capabilities that such a presence brings. This study examines and explains the social media presence of Turkish local governments from a usability perspective. Usability studies provide governments with important empirical data about the citizens'/users' view/perception of the efficiency, effe...
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Twitter, a popular social networking platform, provides a medium for people to share information and opinions with their followers. In such a medium, a flash event finds an immediate response. However, one concept may be expressed in many different ways. Because of users’ different writing conventions, acronym usages, language differences, and spelling mistakes, there may be variations in the content of postings even if they are about the same event. Analyzing semantic relationships and detecting these vari...
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Social media has received a worldwide adoption over the last decade for various purposes from communication to exchange of ideas, marketing, networking, following news or celebrities, and even to utilization as a trigger for social movements. Hence, the potential use of this medium for education needs exploration. This study presents Turkish higher education students' current practices and perceptions towards social media, and its potential use for learning in higher education. An online survey was administ...
Citation Formats
O. Temiz, “FACT EXTRACTION AND VERIFICATION PIPELINE FOR COVID-19 RELATED USER POSTS IN SOCIAL MEDIA,” M.S. - Master of Science, Middle East Technical University, 2022.