Mitigating bias in algorithmic systems is a critical issue drawing attention across
communities within the information and computer sciences. Given the complexity of the …

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

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

As misinformation increasingly proliferates on social media platforms, it has become crucial
to explore how to best convey automated news credibility assessments to end-users, and …

Most recommender systems evaluate model performance offline through either: 1) normal
biased test on factual interactions; or 2) debiased test with records from the randomized …

Misinformation on social media has become a critical problem, particularly during a public
health pandemic. Most social platforms today rely on users' voluntary reports to determine …

Misinformation warnings have become the de facto solution for fighting fake news online.
Our study brings attention to the challenge of developing effective misinformation warnings …

In recent years, we witness the explosion of false and unconfirmed information (ie, rumors)
that went viral on social media and shocked the public. Rumors can trigger versatile, mostly …

How do the reasons people post misinformation affect how they respond to fact checking
interventions? In this research, we conducted a qualitative study of people who shared …

Why do we share fake news? Despite a growing body of freely-available knowledge and
information fake news has managed to spread more widely and deeply than before. This …