Abstract
Nowadays, Internet is a primary source of attaining health information. Massive fake health news which is spreading over the Internet, has become a severe threat to public health. Numerous studies and research works have been done in fake news detection domain, however, few of them are designed to cope with the challenges in health news. For instance, the development of explainable is required for fake health news detection. To mitigate these problems, we construct a comprehensive repository, FakeHealth, which includes news contents with rich features, news reviews with detailed explanations, social engagements and a user-user social network. Moreover, exploratory analyses are conducted to understand the characteristics of the datasets, analyze useful patterns and validate the quality of the datasets for health fake news detection. We also discuss the novel and potential future research directions for the health fake news detection.
| Original language | English (US) |
|---|---|
| Title of host publication | Proceedings of the 14th International AAAI Conference on Web and Social Media, ICWSM 2020 |
| Publisher | AAAI press |
| Pages | 853-862 |
| Number of pages | 10 |
| ISBN (Electronic) | 9781577357889 |
| State | Published - 2020 |
| Event | 14th International AAAI Conference on Web and Social Media, ICWSM 2020 - Atlanta, Virtual, United States Duration: Jun 8 2020 → Jun 11 2020 |
Publication series
| Name | Proceedings of the 14th International AAAI Conference on Web and Social Media, ICWSM 2020 |
|---|
Conference
| Conference | 14th International AAAI Conference on Web and Social Media, ICWSM 2020 |
|---|---|
| Country/Territory | United States |
| City | Atlanta, Virtual |
| Period | 6/8/20 → 6/11/20 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
All Science Journal Classification (ASJC) codes
- Computer Networks and Communications
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