Fact-Checking Research Database

We collect (and briefly explain) major studies on fact-checking, fake news and misinformation

Recent Research

Research Study

Antecedents of bullshitting

John V.Petrocelli
Our Summary

Bullshitting is socially constructed

In this study, the author aims to figure out what makes people take up bullshitting, or "communications that result from little to no concern for truth, evidence and/or established semantic, logical, systemic, or empirical knowledge." To do that, he ran two separate experiments: One in which he t

Research Study

Social Media, Political Polarization, and Political Disinformation: A Review of the Scientific Literature

Joshua A. Tucker, Andrew Guess, Pablo Barber, Cristian Vaccari, Alexandra Siegel, Sergey Sanovich, Denis Stukal, Brendan Nyhan
Our Summary

A comprehensive look at misinformation research

This high-level review looks at all the major scientific literature on the relationship between social media, political polarization and disinformation.

Research Study

Anatomy of an online misinformation network

Chengcheng Shao, Y Pik-Mai Hui, Y Lei Wang, Xinwen Jiang, Alessandro Flammini, Filippo Menczer, Giovanni Luca Ciampaglia
Our Summary

On Twitter, misinformation outscaled fact-checking leading up to 2016 U.S. election

In this study, researchers analyze tweets from the run-up and aftermath of the 2016 U.S. presidential election to determine how the spread of misinformation relates to that of fact-checking.

Keywords:

Our Summary

Fake news and fact-checking websites both reach about a quarter of the population — but not the same quarter

Fake news has a relatively large audience, but it went deep with only a small portion of Americans. Fact-checkers also draw large audiences, but it doesn’t seem to bring the corrections to those who most need to read them.

Research Study

Characterizing Political Fake News in Twitter by its Meta-Data

Julio Amador, Díaz López, Axel Oehmichen, Miguel Molina-Solana
Our Summary

Tweeters that post fake news have more followers — and use more links — than those who don’t

In this study, researchers seek to understand the difference between tweets containing fake news and those that don’t by analyzing their metadata. Specifically, they use a sample of more than 1.5 million viral tweets collected on the 2016 U.S.

 
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