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Happiness and surprise are associated with worse truth discernment of COVID-19 headlines among social media users in Nigeria
Leah R. Rosenzweig, Bence Bago, Adam J. Berinsky and David G. Rand
Do emotions we experience after reading headlines help us discern true from false information or cloud our judgement? Understanding whether emotions are associated with distinguishing truth from fiction and sharing information has implications for interventions designed to curb the spread of misinformation.

Research note: Examining potential bias in large-scale censored data
Jennifer Allen, Markus Mobius, David M. Rothschild and Duncan J. Watts
We examine potential bias in Facebook’s 10-trillion cell URLs dataset, consisting of URLs shared on its platform and their engagement metrics. Despite the unprecedented size of the dataset, it was altered to protect user privacy in two ways: 1) by adding differentially private noise to engagement counts, and 2) by censoring the data with a 100-public-share threshold for a URL’s inclusion.

Elections
Source alerts can reduce the harms of foreign disinformation
Jason Ross Arnold, Alexandra Reckendorf and Amanda L. Wintersieck
Social media companies have begun to use content-based alerts in their efforts to combat mis- and disinformation, including fact-check corrections and warnings of possible falsity, such as “This claim about election fraud is disputed.” Another harm reduction tool, source alerts, can be effective when a hidden foreign hand is known or suspected.

Propaganda
Overlooking the political economy in the research on propaganda
Aman Abhishek
Historically, scholars studying propaganda have focused on its psychological and behavioral impacts on audiences. This tradition has roots in the unique historical trajectory of the United States through the 20th century. This article argues that this tradition is quite inadequate to tackle propaganda-related issues in the Global South, where a deep understanding of the political economy of propaganda and misinformation is urgently needed.

Tackling misinformation: What researchers could do with social media data
HKS Misinformation Review Guest Authors
Written by Irene V. Pasquetto, Briony Swire-Thompson, Michelle A. Amazeen, Fabrício Benevenuto, Nadia M. Brashier, Robert M. Bond, Lia C. Bozarth, Ceren Budak, Ullrich K. H. Ecker, Lisa K. Fazio, Emilio Ferrara, Andrew J. Flanagin, Alessandro Flammini, Deen Freelon, Nir Grinberg, Ralph Hertwig, Kathleen Hall Jamieson, Kenneth Joseph, Jason J.

Research note: The scale of Facebook’s problem depends upon how ‘fake news’ is classified
Richard Rogers
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.
Emphasizing publishers does not effectively reduce susceptibility to misinformation on social media
Nicholas Dias, Gordon Pennycook and David G. Rand
Survey experiments with nearly 7,000 Americans suggest that increasing the visibility of publishers is an ineffective, and perhaps even counterproductive, way to address misinformation on social media. Our findings underscore the importance of social media platforms and civil society organizations evaluating interventions experimentally rather than implementing them based on intuitive appeal.