The future of false information detection on social media: New perspectives and trends

B Guo, Y Ding, L Yao, Y Liang, Z Yu - ACM Computing Surveys (CSUR), 2020 - dl.acm.org
The massive spread of false information on social media has become a global risk, implicitly
influencing public opinion and threatening social/political development. False information …

Exploring the role of visual content in fake news detection

J Cao, P Qi, Q Sheng, T Yang, J Guo, J Li - … , Misinformation, and Fake …, 2020 - Springer
The increasing popularity of social media promotes the proliferation of fake news, which has
caused significant negative societal effects. Therefore, fake news detection on social media …

[PDF][PDF] Recurrent convolutional strategies for face manipulation detection in videos

E Sabir, J Cheng, A Jaiswal… - Interfaces …, 2019 - openaccess.thecvf.com
The spread of misinformation through synthetically generated yet realistic images and
videos has become a significant problem, calling for robust manipulation detection methods …

Open-domain, content-based, multi-modal fact-checking of out-of-context images via online resources

S Abdelnabi, R Hasan, M Fritz - Proceedings of the IEEE …, 2022 - openaccess.thecvf.com
Misinformation is now a major problem due to its potential high risks to our core democratic
and societal values and orders. Out-of-context misinformation is one of the easiest and …

Multimodal automated fact-checking: A survey

M Akhtar, M Schlichtkrull, Z Guo, O Cocarascu… - arxiv preprint arxiv …, 2023 - arxiv.org
Misinformation is often conveyed in multiple modalities, eg a miscaptioned image.
Multimodal misinformation is perceived as more credible by humans, and spreads faster …

Fka-owl: Advancing multimodal fake news detection through knowledge-augmented lvlms

X Liu, P Li, H Huang, Z Li, X Cui, J Liang, L Qin… - Proceedings of the …, 2024 - dl.acm.org
The massive generation of multimodal fake news involving both text and images exhibits
substantial distribution discrepancies, prompting the need for generalized detectors …

SNIFFER: Multimodal Large Language Model for Explainable Out-of-Context Misinformation Detection

P Qi, Z Yan, W Hsu, ML Lee - Proceedings of the IEEE/CVF …, 2024 - openaccess.thecvf.com
Misinformation is a prevalent societal issue due to its potential high risks. Out-Of-Context
(OOC) misinformation where authentic images are repurposed with false text is one of the …

Media forensics on social media platforms: a survey

C Pasquini, I Amerini, G Boato - EURASIP Journal on Information Security, 2021 - Springer
The dependability of visual information on the web and the authenticity of digital media
appearing virally in social media platforms has been raising unprecedented concerns. As a …

Multimodal analysis of disinformation and misinformation

A Wilson, S Wilkes, Y Teramoto… - Royal Society Open …, 2023 - royalsocietypublishing.org
The use of disinformation and misinformation campaigns in the media has attracted much
attention from academics and policy-makers. Multimodal analysis or the analysis of two or …

ConvNet frameworks for multi-modal fake news detection

C Raj, P Meel - Applied Intelligence, 2021 - Springer
An upsurge of false information revolves around the internet. Social media and websites are
flooded with unverified news posts. These posts are comprised of text, images, audio, and …