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Combating health misinformation in social media: Characterization, detection, intervention, and open issues
C Chen, H Wang, M Shapiro, Y ** with adversarial event classification network for fake news detection
In recent years, there is a increase in researchers' interest on social evidence, particularly for
fake news detection (FND). However, news posts on social media often include diverse …
fake news detection (FND). However, news posts on social media often include diverse …
A (More) Realistic Evaluation Setup for Generalisation of Community Models on Malicious Content Detection
Community models for malicious content detection, which take into account the context from
a social graph alongside the content itself, have shown remarkable performance on …
a social graph alongside the content itself, have shown remarkable performance on …
Learning Domain-Invariant Features for Out-of-Context News Detection
Multimodal out-of-context news is a common type of misinformation on online media
platforms. This involves posting a caption, alongside an invalid out-of-context news image …
platforms. This involves posting a caption, alongside an invalid out-of-context news image …