[HTML][HTML] Deep learning for fake news detection: A comprehensive survey
The information age enables people to obtain news online through various channels, yet in
the meanwhile making false news spread at unprecedented speed. Fake news exerts …
the meanwhile making false news spread at unprecedented speed. Fake news exerts …
Cross-modal ambiguity learning for multimodal fake news detection
Cross-modal learning is essential to enable accurate fake news detection due to the fast-
growing multimodal contents in online social communities. A fundamental challenge of …
growing multimodal contents in online social communities. A fundamental challenge of …
[HTML][HTML] Multimodal fake news detection via progressive fusion networks
J Jing, H Wu, J Sun, X Fang, H Zhang - Information processing & …, 2023 - Elsevier
Multimodal fake news detection methods based on semantic information have achieved
great success. However, these methods only exploit the deep features of multimodal …
great success. However, these methods only exploit the deep features of multimodal …
A comprehensive survey of multimodal fake news detection techniques: advances, challenges, and opportunities
The escalating prevalence of disinformation, or “fake news,” on social media platforms
represents a growing societal concern with far-reaching implications. Its ubiquitous …
represents a growing societal concern with far-reaching implications. Its ubiquitous …
Improving fake news detection by using an entity-enhanced framework to fuse diverse multimodal clues
Recently, fake news with text and images have achieved more effective diffusion than text-
only fake news, raising a severe issue of multimodal fake news detection. Current studies on …
only fake news, raising a severe issue of multimodal fake news detection. Current studies on …
Multi-stage Internet public opinion risk grading analysis of public health emergencies: An empirical study on Microblog in COVID-19
J Liu, L Liu, Y Tu, S Li, Z Li - Information Processing & Management, 2022 - Elsevier
In the period of Corona Virus Disease 2019 (COVID-19), millions of people participate in the
discussion of COVID-19 on the Internet, which can easily trigger public opinion and threaten …
discussion of COVID-19 on the Internet, which can easily trigger public opinion and threaten …
Combating misinformation in the era of generative AI models
Misinformation has been a persistent and harmful phenomenon affecting our society in
various ways, including individuals' physical health and economic stability. With the rise of …
various ways, including individuals' physical health and economic stability. With the rise of …
MFIR: Multimodal fusion and inconsistency reasoning for explainable fake news detection
L Wu, Y Long, C Gao, Z Wang, Y Zhang - Information Fusion, 2023 - Elsevier
Fake news possesses a destructive and negative impact on our lives. With the rapid growth
of multimodal content in social media communities, multimodal fake news detection has …
of multimodal content in social media communities, multimodal fake news detection has …
Multimodal fake news detection via clip-guided learning
Fake news detection (FND) has attracted much research interests in social forensics. Many
existing approaches introduce tailored attention mechanisms to fuse unimodal features …
existing approaches introduce tailored attention mechanisms to fuse unimodal features …
Inconsistent matters: A knowledge-guided dual-consistency network for multi-modal rumor detection
Rumor spreaders are increasingly utilizing multimedia content to attract the attention and
trust of news consumers. Though quite a few rumor detection models have exploited the …
trust of news consumers. Though quite a few rumor detection models have exploited the …