Niall Conroy, Victoria L. Rubin, Yimin Chen
2015.11.6Proceedings of the Association for Information Science and Technology
tlooto Summary
This research surveys the current state‐of‐the‐art technologies that are instrumental in the adoption and development of fake news detection, as well as various formats and genres.
Abstract
This research surveys the current state‐of‐the‐art technologies that are instrumental in the adoption and development of fake news detection. “Fake news detection” is defined as the task of categorizing news along a continuum of veracity, with an associated measure of certainty. Veracity is compromised by the occurrence of intentional deceptions. The nature of online news publication has changed, such that traditional fact checking and vetting from potential deception is impossible against the flood arising from content generators, as well as various formats and genres.
Citation format
CONROY, Niall; RUBIN, Victoria L.; CHEN, Yimin. Automatic deception detection: Methods for finding fake news. Proceedings of the Association for Information Science and Technology, 2015, 52.