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 …
Multi-modal misinformation detection: Approaches, challenges and opportunities
As social media platforms evolve from text-based forums into multi-modal environments, the
nature of misinformation in social media is also transforming accordingly. Taking advantage …
nature of misinformation in social media is also transforming accordingly. Taking advantage …
A duo-generative approach to explainable multimodal covid-19 misinformation detection
This paper focuses on a critical problem of explainable multimodal COVID-19
misinformation detection where the goal is to accurately detect misleading information in …
misinformation detection where the goal is to accurately detect misleading information in …
LFTK: Handcrafted features in computational linguistics
Past research has identified a rich set of handcrafted linguistic features that can potentially
assist various tasks. However, their extensive number makes it difficult to effectively select …
assist various tasks. However, their extensive number makes it difficult to effectively select …
A multimodal framework for the identification of vaccine critical memes on Twitter
Memes can be a useful way to spread information because they are funny, easy to share,
and can spread quickly and reach further than other forms. With increased interest in COVID …
and can spread quickly and reach further than other forms. With increased interest in COVID …
Multimodal analysis of disinformation and misinformation
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 …
A Domain Adaptive Graph Learning Framework to Early Detection of Emergent Healthcare Misinformation on Social Media
A fundamental issue in healthcare misinformation detection is the lack of timely resources
(eg, medical knowledge, annotated data), making it challenging to accurately detect …
(eg, medical knowledge, annotated data), making it challenging to accurately detect …
[HTML][HTML] A multilingual dataset of COVID-19 vaccination attitudes on Twitter
Vaccine hesitancy is considered as one main cause of the stagnant uptake ratio of COVID-
19 vaccines in Europe and the US where vaccines are sufficiently supplied. A fast and …
19 vaccines in Europe and the US where vaccines are sufficiently supplied. A fast and …
[HTML][HTML] Ensemble Techniques for Robust Fake News Detection: Integrating Transformers, Natural Language Processing, and Machine Learning
The proliferation of fake news across multiple modalities has emerged as a critical challenge
in the modern information landscape, necessitating advanced detection methods. This study …
in the modern information landscape, necessitating advanced detection methods. This study …
A Knowledge-driven Domain Adaptive Approach to Early Misinformation Detection in an Emergent Health Domain on Social Media
This paper focuses on an important problem of early misinformation detection in an
emergent health domain on social media. Current misinformation detection solutions often …
emergent health domain on social media. Current misinformation detection solutions often …