@inproceedings{08978924b69a4e0fbe2bd65afa004c20,
title = "FakeSens: A Social Sensing Approach to COVID-19 Misinformation Detection on Social Media",
abstract = "Social sensing is emerging as an effective and pervasive sensing paradigm to collect timely data and observations from human sensors. This paper focuses on the problem of COVID-19 misinformation detection on social media. Our work is motivated by the lack of COVID-specific knowledge in current misinformation detection solutions, which is critical to assess the truthfulness of social media claims about the emerging COVID-19 disease. In this paper, we leverage human intelligence on a crowdsourcing platform to obtain essential knowledge facts for detecting the COVID-19 misinformation on social media. Two critical challenges exist in solving our problem: i) how to efficiently acquire accurate and timely knowledge that is both inclusive and specific to COVID-19? ii) How to effectively coordinate the efforts from both expert and non-expert workers to detect COVID-19 misinformation? To address these challenges, we develop FakeSens, a social sensing based crowd knowledge graph approach that explicitly explores the knowledge facts specific to COVID-19 and models the reliability of different types of crowd workers to capture the misleading COVID-19 claims. Evaluation results on a real-world dataset show that FakeSens significantly outperforms state-of-the-art baselines in accurately detecting misleading claims of COVID-19 on social media.",
author = "Ziyi Kou and Lanyu Shang and Yang Zhang and Christina Youn and Dong Wang",
note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 17th Annual International Conference on Distributed Computing in Sensor Systems, DCOS 2021 ; Conference date: 14-07-2021 Through 16-07-2021",
year = "2021",
doi = "10.1109/DCOSS52077.2021.00035",
language = "English (US)",
series = "Proceedings - 17th Annual International Conference on Distributed Computing in Sensor Systems, DCOS 2021",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "140--147",
booktitle = "Proceedings - 17th Annual International Conference on Distributed Computing in Sensor Systems, DCOS 2021",
address = "United States",
}