Combating health misinformation in social media: Characterization, detection, intervention, and open issues
Social media has been one of the main information consumption sources for the public,
allowing people to seek and spread information more quickly and easily. However, the rise …
allowing people to seek and spread information more quickly and easily. However, the rise …
Fake News in Sheep's Clothing: Robust Fake News Detection Against LLM-Empowered Style Attacks
It is commonly perceived that fake news and real news exhibit distinct writing styles, such as
the use of sensationalist versus objective language. However, we emphasize that style …
the use of sensationalist versus objective language. However, we emphasize that style …
MetaAdapt: Domain adaptive few-shot misinformation detection via meta learning
With emerging topics (eg, COVID-19) on social media as a source for the spreading
misinformation, overcoming the distributional shifts between the original training domain (ie …
misinformation, overcoming the distributional shifts between the original training domain (ie …
Learn over past, evolve for future: Forecasting temporal trends for fake news detection
Fake news detection has been a critical task for maintaining the health of the online news
ecosystem. However, very few existing works consider the temporal shift issue caused by …
ecosystem. However, very few existing works consider the temporal shift issue caused by …
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 …
Soft-label for multi-domain fake news detection
D Wang, W Zhang, W Wu, X Guo - IEEE Access, 2023 - ieeexplore.ieee.org
The spread of fake news across several fields has had serious negative impacts on the
public and society. Existing studies have shown that the use of multi-domain labels can …
public and society. Existing studies have shown that the use of multi-domain labels can …
EvolveDetector: Towards an evolving fake news detector for emerging events with continual knowledge accumulation and transfer
The prevalence of fake news on social media poses devastating and wide-ranging threats to
political beliefs, economic activities, and public health. Due to the continuous emergence of …
political beliefs, economic activities, and public health. Due to the continuous emergence of …
Robust domain misinformation detection via multi-modal feature alignment
Social media misinformation harms individuals and societies and is potentialized by fast-
growing multi-modal content (ie, texts and images), which accounts for higher “credibility” …
growing multi-modal content (ie, texts and images), which accounts for higher “credibility” …
Out-of-distribution Evidence-aware Fake News Detection via Dual Adversarial Debiasing
Evidence-aware fake news detection aims to conduct reasoning between news and
evidences, which are retrieved based on news content, to find uniformity or inconsistency …
evidences, which are retrieved based on news content, to find uniformity or inconsistency …
Exploiting user comments for early detection of fake news prior to users' commenting
Both accuracy and timeliness are key factors in detecting fake news on social media.
However, most existing methods encounter an accuracy-timeliness dilemma: Content-only …
However, most existing methods encounter an accuracy-timeliness dilemma: Content-only …