14 citations · 14 across the 3 of their papers we have counts for
4 papers
Robust Fake News Detection using Large Language Models under Adversarial Sentiment Attacks
Sahar Tahmasebi, Eric Müller-Budack, Ralph Ewerth
Misinformation and fake news have become a pressing societal challenge, driving the need for reliable automated detection methods. Prior research has highlighted sentiment as an im…
Verifying Cross-modal Entity Consistency in News using Vision-language Models
Sahar Tahmasebi, David Ernst, Eric Müller-Budack +1
The web has become a crucial source of information, but it is also used to spread disinformation, often conveyed through multiple modalities like images and text. The identificatio…
Multimodal Misinformation Detection using Large Vision-Language Models
Sahar Tahmasebi, Eric Müller-Budack, Ralph Ewerth
The increasing proliferation of misinformation and its alarming impact have motivated both industry and academia to develop approaches for misinformation detection and fact checkin…
Improving Generalization for Multimodal Fake News Detection
Sahar Tahmasebi, Sherzod Hakimov, Ralph Ewerth +1
The increasing proliferation of misinformation and its alarming impact have motivated both industry and academia to develop approaches for fake news detection. However, state-of-th…