TY - GEN
T1 - Ginger cannot cure cancer
T2 - 14th International AAAI Conference on Web and Social Media, ICWSM 2020
AU - Dai, Enyan
AU - Sun, Yiwei
AU - Wang, Suhang
N1 - Publisher Copyright:
Copyright © 2020, Association for the Advancement of Artificial Intelligence (www.aaai.org). All rights reserved.
PY - 2020
Y1 - 2020
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85095507029&partnerID=8YFLogxK
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M3 - Conference contribution
AN - SCOPUS:85095507029
T3 - Proceedings of the 14th International AAAI Conference on Web and Social Media, ICWSM 2020
SP - 853
EP - 862
BT - Proceedings of the 14th International AAAI Conference on Web and Social Media, ICWSM 2020
PB - AAAI press
Y2 - 8 June 2020 through 11 June 2020
ER -
