The future of false information detection on social media: New perspectives and trends
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 …
influencing public opinion and threatening social/political development. False information …
Exploring the role of visual content in fake news detection
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 …
caused significant negative societal effects. Therefore, fake news detection on social media …
[PDF][PDF] Recurrent convolutional strategies for face manipulation detection in videos
The spread of misinformation through synthetically generated yet realistic images and
videos has become a significant problem, calling for robust manipulation detection methods …
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
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 …
and societal values and orders. Out-of-context misinformation is one of the easiest and …
Multimodal automated fact-checking: A survey
Misinformation is often conveyed in multiple modalities, eg a miscaptioned image.
Multimodal misinformation is perceived as more credible by humans, and spreads faster …
Multimodal misinformation is perceived as more credible by humans, and spreads faster …
Fka-owl: Advancing multimodal fake news detection through knowledge-augmented lvlms
The massive generation of multimodal fake news involving both text and images exhibits
substantial distribution discrepancies, prompting the need for generalized detectors …
substantial distribution discrepancies, prompting the need for generalized detectors …
SNIFFER: Multimodal Large Language Model for Explainable Out-of-Context Misinformation Detection
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 …
(OOC) misinformation where authentic images are repurposed with false text is one of the …
Media forensics on social media platforms: a survey
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 …
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 …
attention from academics and policy-makers. Multimodal analysis or the analysis of two or …
ConvNet frameworks for multi-modal fake news detection
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 …
flooded with unverified news posts. These posts are comprised of text, images, audio, and …