Sentiment analysis (SA) has gained much traction In the field of artificial intelligence (AI) and
natural language processing (NLP). There is growing demand to automate analysis of user …

Multimodal sentiment analysis has emerged as a prominent research field within artificial
intelligence, benefiting immensely from recent advancements in deep learning. This …

Generative AI systems produce a range of risks. To ensure the safety of generative AI
systems, these risks must be evaluated. In this paper, we make two main contributions …

We propose end-to-end multimodal fact-checking and explanation generation, where the
input is a claim and a large collection of web sources, including articles, images, videos, and …

The internet gives the world an open platform to express their views and share their stories.
While this is very valuable, it makes fake news one of our society's most pressing problems …

With social media usage growing exponentially in the past few years, fake news has also
become extremely prevalent. The detrimental impact of fake news emphasizes the need for …

Misinformation is often conveyed in multiple modalities, eg a miscaptioned image.
Multimodal misinformation is perceived as more credible by humans, and spreads faster …

Fact-checking in financial domain is under explored, and there is a shortage of quality
dataset in this domain. In this paper, we propose Fin-Fact, a benchmark dataset for …

The escalating prevalence of disinformation, or “fake news,” on social media platforms
represents a growing societal concern with far-reaching implications. Its ubiquitous …

Recently, falsified claims incorporating both text and images have been disseminated more
effectively than those containing text alone, raising significant concerns for multi-modal fact …