We synthesize a burgeoning literature investigating why people believe and share false or
highly misleading news online. Contrary to a common narrative whereby politics drives …

With the prevalence and increasing impact of misinformation on social media, numerous
studies have explored the characteristics of misinformation. However, we lack a holistic …

In recent years, there has been a great deal of concern about the proliferation of false and
misleading news on social media,,–. Academics and practitioners alike have asked why …

Whose labels should a machine learning (ML) algorithm learn to emulate? For ML tasks
ranging from online comment toxicity to misinformation detection to medical diagnosis …

We evaluate the empirical evidence interrogating the question of whether social media
erodes social cohesion. We look at how networks, information exchange, and norms operate …

Alarmist narratives about online misinformation continue to gain traction despite evidence
that its prevalence and impact are overstated. Drawing on research examining the use of big …

The recent emergence of machine-manipulated media raises an important societal question:
How can we know whether a video that we watch is real or fake? In two online studies with …

The proliferation of false information is a growing problem in today's dynamic online
environment. This phenomenon requires automated detection of fake news to reduce its …

Considerable scholarly attention has been paid to understanding belief in online
misinformation,, with a particular focus on social networks. However, the dominant role of …

There is a great deal of interest in the role that partisanship, and cross-party animosity in
particular, plays in interactions on social media. Most prior research, however, must infer …