There is growing concern over the spread of misinformation online. One widely adopted
intervention by platforms for addressing falsehoods is applying 'warning labels' to posts …

Misinformation is one of the key challenges facing society today. User-centered
misinformation interventions as digital countermeasures that exert a direct influence on …

Mounting evidence indicates that the artificial intelligence (AI) systems that rank our social
media feeds bear nontrivial responsibility for amplifying partisan animosity: negative …

Social media platforms have been establishing content moderation guidelines and
employing various moderation policies to counter hate speech and misinformation. The goal …

A fundamental issue in healthcare misinformation detection is the lack of timely resources
(eg, medical knowledge, annotated data), making it challenging to accurately detect …

Social media feeds are deeply personal spaces that reflect individual values and
preferences. However, top-down, platform-wide content algorithms can reduce users' sense …

As Artificial Intelligence (AI) continues to advance rapidly, it becomes increasingly important
to consider AI's ethical and societal implications. In this paper, we present a bottom-up …

With advancements in natural language processing (NLP) models, automatic explanation
generation has been proposed to mitigate misinformation on social media platforms in …

Advances in Generative Artificial Intelligence (AI) are resulting in AI-generated media output
that is (nearly) indistinguishable from human-created content. This can drastically impact …

To mitigate misinformation on social media, platforms such as Facebook have offered
warnings to users based on the detection results of AI systems. With the evolution of AI …