Improving Generalizability of Fake News Detection Methods using Propensity Score Matching

28 Jan 2020Bo NiZhichun GuoJianing LiMeng Jiang

Recently, due to the booming influence of online social networks, detecting fake news is drawing significant attention from both academic communities and general public. In this paper, we consider the existence of confounding variables in the features of fake news and use Propensity Score Matching (PSM) to select generalizable features in order to reduce the effects of the confounding variables... (read more)

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