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We analyze the relationship between partisanship, echo chambers, and vulnerability to online misinformation by studying news sharing behavior on Twitter. While our results confirm prior findings that online misinformation sharing is strongly correlated with right-leaning partisanship, we also uncover a similar, though weaker, trend among left-leaning users.

In this essay, we conduct a descriptive content analysis from a sample of a dataset made up of 534 thousand scraped tweets, supplemented with access to 1.36 million tweets from the Twitter firehose, from accounts that used the #ADOS hashtag between November 2019 and September 2020.

The 2020 U.S. Presidential Election saw an unprecedented number of false claims alleging election fraud and arguing that Donald Trump was the actual winner of the election. Here we report a survey exploring belief in these false claims that was conducted three days after Biden was declared the winner.

We analyze original survey data on support for social media companies’ fact-checking of politicians in general and President Trump in particular. We find overwhelming majorities of Democrats support fact-checking in both instances, while a majority of Republicans support fact-checking of politicians in general but not of President Trump.

Platforms are increasingly using transparency, whether it be in the form of political advertising disclosures or a record of page name changes, to combat disinformation campaigns. In the case of state-controlled media outlets on YouTube, Facebook, and Twitter this has taken the form of labeling their connection to a state.

Ushering in the contemporary ‘fake news’ crisis, Craig Silverman of Buzzfeed News reported that it outperformed mainstream news on Facebook in the three months prior to the 2016 US presidential elections. Here the report’s methods and findings are revisited for 2020.

This research note explores the extent to which misinformation and other types of “junk” content are spread on political boards and forums on 4chan and Reddit. Our findings suggest that these userbases are impervious to the appeal of low-quality “pink slime” news sites with algorithmically generated conservative talking points masquerading as journalism.

Misinformation, like terrorism, thrives where trust in conventional authorities has eroded. An informed policy response must therefore complement efforts to repress misinformation with efforts to redress loss of trust. At present, however, we are repeating the mistakes of the war on terror, prioritizing repressive, technologically deterministic solutions while failing to redress the root sociopolitical grievances that cultivate our receptivity to misinformation in the first place.

WhatsApp is a key medium for the spread of news and rumors, often shared as images. We study a large collection of politically-oriented WhatsApp groups in India, focusing on the period leading up to the 2019 Indian national elections. By labeling samples of random and popular images, we find that around 10% of shared images are known misinformation and most fall into three types of images.