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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.

A survey conducted over South Korean adults (N=513) reveals that emotions, specifically anger, contribute to the broader spread of misinformation on COVID-19 by leading angry individuals to consider false claims to be “scientifically credible.” This pattern is more evident among conservatives than liberals.

In February 2020, the World Health Organization announced an ‘infodemic’—a deluge of both accurate and inaccurate health information—that accompanied the global pandemic of COVID-19 as a major challenge to effective health communication. We assessed content from the most active vaccine accounts on Twitter to understand how existing online communities contributed to the ‘infodemic’ during the early stages of the pandemic.

This research examines the content, timing, and spread of COVID-19 misinformation and subsequent debunking efforts for two COVID-19 myths. COVID-19 misinformation tweets included more non-specific authority references (e.g., “Taiwanese experts”, “a doctor friend”), while debunking tweets included more specific and verifiable authority references (e.g.,

During the novel coronavirus (Covid-19) crisis, citizens have been attempting to obtain critical information and directives from official government websites. These are usually hosted on top-level domains, such as coronavirus.mx. There is no reliable mechanism to verify these websites’ authenticity, and the space is also shared by commercial entities selling related (or not) products and advertisements.

WhatsApp was alleged to have been widely used to spread misinformation and propaganda during the 2018 elections in Brazil and the 2019 elections in India. Due to the private encrypted nature of the messages on WhatsApp, it is hard to track the dissemination of misinformation at scale.

We investigate the diffusion of conspiracy theories related to the origin of COVID-19 on social media. By analyzing third-party content on four social media platforms, we show that: (a) In contrast to conventional wisdom, mainstream sources contribute overall more to conspiracy theories diffusion than alternative and other sources; and (b) platforms’ content moderation practices are able to mitigate the spread of conspiracy theories.

News feeds in virtually all social media platforms include engagement metrics, such as the number of times each post is liked and shared. We find that exposure to these signals increases the vulnerability of users to low-credibility information in a simulated social media feed.

This paper is a qualitative ethnographic study of how a group of meme factories in Singapore and Malaysia have adapted their content programming and social media practices in light of COVID-19. It considers how they have fostered, countered, or challenged the rise and spread of misinformation in both countries.

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.