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Brazil has one of the highest rates of cases and deaths attributed to Covid-19 in the world. Two factors contributed to the high rates: the Brazilian government underestimated the pandemic and a large amount of disinformation was spread through social media.

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.

We present Harmony Square, a short, free-to-play online game in which players learn how political misinformation is produced and spread. We find that the game confers psychological resistance against manipulation techniques commonly used in political misinformation: players from around the world find social media content making use of these techniques significantly less reliable after playing, are more confident in their ability to spot such content, and less likely to report sharing it with others in their network. 

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.

Volume 1, Issue 6 Editorial

By Irene Pasquetto

Image by siora photography on unsplash

The title “All disinformation is local” was inspired by a tweet of Joan Donovan, on September 29th 2020

On September 1st, the leadership of the HKS Misinformation Review officially passed to Dr.

An unprecedented volume of harmful health misinformation linked to the coronavirus pandemic has led to the appearance of misinformation tactics that leverage web archives in order to evade content moderation on social media platforms. Here we present newly identified manipulation techniques designed to maximize the value, longevity, and spread of harmful and non-factual content across social media using provenance information from web archives and social media analytics.

To gain insight into how Chinese state media is communicating about the coronavirus pandemic to the outside world, we analyzed a collection of posts from their English-language presence on Facebook. We observed three recurring behaviors: sharing positive stories and promoting the Chinese Communist Party’s (CCP) pandemic response, rewriting recent history in a manner favorable to the CCP as the coronavirus pandemic evolved, and using targeted ads to spread preferred messages.

This study indicates that, during the first phase of the coronavirus (SARS-CoV-2) pandemic in 2020, citizens from the US, UK, Netherlands, and Germany experienced relatively high levels of mis- and disinformation in their general information environment. We asked respondents to indicate the extent to which they experienced that information on coronavirus (SARS-CoV-2 and the disease it causes, COVID-19) was simply inaccurate (misinformation) or intentionally misleading (disinformation).

Identifying emerging health misinformation is a challenge because its manner and type are often unknown. However, many social media users correct misinformation when they encounter it. From this intuition, we implemented a strategy that detects emerging health misinformation by tracking replies that seem to provide accurate information.