TY - GEN
T1 - Fake news detection
T2 - 2019 World Wide Web Conference, WWW 2019
AU - Zhou, Xinyi
AU - Zafarani, Reza
N1 - Publisher Copyright:
© 2019 IW3C2 (International World Wide Web Conference Committee), published under Creative Commons CC-BY 4.0 License.
PY - 2019/5/13
Y1 - 2019/5/13
N2 - The explosive growth of fake news and its erosion to democracy, journalism and economy has increased the demand for fake news detection. To achieve efficient and explainable fake news detection, an interdisciplinary approach is required, relying on scientific contributions from various disciplines, e.g., social sciences, engineering, among others. Here, we illustrate how such multidisciplinary contributions can help detect fake news by improving feature engineering, or by providing well-justified machine learning models. We demonstrate how news content, news propagation patterns, and users' engagements with news can help detect fake news.
AB - The explosive growth of fake news and its erosion to democracy, journalism and economy has increased the demand for fake news detection. To achieve efficient and explainable fake news detection, an interdisciplinary approach is required, relying on scientific contributions from various disciplines, e.g., social sciences, engineering, among others. Here, we illustrate how such multidisciplinary contributions can help detect fake news by improving feature engineering, or by providing well-justified machine learning models. We demonstrate how news content, news propagation patterns, and users' engagements with news can help detect fake news.
KW - Disinformation
KW - Fake news detection
KW - Fake news research
KW - False news
KW - Misinformation
UR - http://www.scopus.com/inward/record.url?scp=85066888553&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85066888553&partnerID=8YFLogxK
U2 - 10.1145/3308560.3316476
DO - 10.1145/3308560.3316476
M3 - Conference contribution
AN - SCOPUS:85066888553
T3 - The Web Conference 2019 - Companion of the World Wide Web Conference, WWW 2019
SP - 1292
BT - The Web Conference 2019 - Companion of the World Wide Web Conference, WWW 2019
PB - Association for Computing Machinery, Inc
Y2 - 13 May 2019 through 17 May 2019
ER -