In response to rising concerns surrounding the safety, security, and trustworthiness of
Generative AI (GenAI) models, practitioners and regulators alike have pointed to AI red …

Multimedia content on social media is rapidly evolving, with memes gaining prominence as
a distinctive form. Unfortunately, some malicious users exploit memes to target individuals or …

The widespread use of social media and other online platforms has facilitated
unprecedented communication and information exchange. However, it has also led to the …

Automatic detection of multimodal misinformation has gained a widespread attention
recently. However, the potential of powerful Large Language Models (LLMs) for multimodal …

Large language models are limited by challenges in factuality and hallucinations to be
directly employed off-the-shelf for judging the veracity of news articles, where factual …

For subjective tasks such as hate detection, where people perceive hate differently, the
Large Language Model's (LLM) ability to represent diverse groups is unclear. By including …

Despite the remarkable achievements of language models (LMs) across a broad spectrum
of tasks, their propensity for generating toxic outputs remains a prevalent concern. Current …

The proliferation of social media has increased cyber-aggressive behavior behind the
freedom of speech, posing societal risks from online anonymity to real-world consequences …

Social media bot detection has always been an arms race between advancements in
machine learning bot detectors and adversarial bot strategies to evade detection. In this …

Hate speech is a harmful form of online expression, often manifesting as derogatory posts. It
is a significant risk in digital environments. With the rise of Large Language Models (LLMs) …