Fake news videos are being actively produced and uploaded on YouTube to attract public attention. In this paper, we propose a topic-agnostic fake news video detection model based on adversarial ...

As generative AI produces increasingly convincing text, Dutch researchers are exploring how linguistic cues, model bias, and transparency tools can help detect fake news.

With better detection, AI fake news checking systems may be able to warn of, and ultimately counteract, serious harms from deepfakes, propaganda, conspiracy theories and misinformation.

Official repository for "FakeSV: A Multimodal Benchmark with Rich Social Context for Fake News Detection on Short Video Platforms", AAAI 2023. Official repository for "Bad Actor, Good Advisor: ...

Taken together, this study provides novel data that can be used to support targeted fake news interventions, suggesting possible news topic, sharing behavior, and platform specific insights. Such ...

In this study, we propose a multimodal fake news detection model based on self-attention mechanisms and multimodal bilinear pooling to handle the problem of merging text and image features for fake ...

Users rely heavily on social media to consume and share news, facilitating the mass dis-semination of genuine and fake stories. The proliferation of misinformation on various social media platforms ...