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Election fraud narratives surge on Brazilian Twitter following Bolsonaro defeat

#BrazilWasStolen hashtag spreads across Twitter and other platforms

People gather during a protest held by supporters of Brazil’s President Jair Bolsonaro at the Army headquarters in Rio de Janeiro, Brazil, November 15, 2022. The sign reads: “SOS Army Forces.” (Source: REUTERS/Pilar Olivares)

Election fraud keywords spike on Twitter

Graph showing the number of tweets per day between June 1 and November 9, 2022, containing Portuguese keywords eleições (elections) and fraude (fraud). (Source: DFRLab via Meltwater Explore)
Screengrabs from Twitter accounts in July 2022 discussing Bolsonaro’s claims against the TSE and the role of the armed forces in the electoral process. (Source: MarceloUchoa_/archive, top; dadacoelho/archive, bottom)

Viral video leads to Nazi salute controversy

Screengrabs from Telegram and Twitter accounts discussing pro-Bolsonaro protests. (Source: Telegram, left; pedromarianibr/archive, right)
Screengrab of viral tweet sharing the video of protesters allegedly making Nazi salutes in São Miguel do Oeste, Santa Catarina. (Source: forumpandlr/archive)
Screengrabs from Twitter posts sharing the São Miguel do Oeste video and discussing the alleged Nazi salute. (Source: ukigoni/archive, top left; felipeneto/archive, top right; christoq/archive, bottom left; UrbanNathalia/archive, bottom right)
Screengrabs from social media posts published by Israel’s embassy in Brazil and Santa Catarina’s public prosecutor’s office regarding the events in Santa Catarina. (Source: IsraelinBrazil/archive, top; ministeriopublicosc/archive, bottom)
(Source: forumpandlr/archive)

#BrazilWasStolen: a coordinated campaign on social media

Most-used hashtags along with the electoral fraud narrative. The number of mentions represent posts from October 30 to November 9, 2022. (Source: @estebanpdl/DFRLab via Meltwater Explore)
Graph showing the volume of Twitter posts per second on November 4, 2022. (Source: @estebanpdl/DFRLab)
Histogram showing the difference in seconds between posts published by the 1,000 most-active accounts on November 4, 2022. Most of these posts were published within 3 or 5 seconds of each other. (Source: @estebanpdl/DFRLab)
Graph documenting the surge in new Twitter accounts that engaged with the #BrazilWasStolen hashtag (top), some of which were created within a few seconds of each other (bottom). (Source: @estebanpdl/DFRLab)
Table showing the traffic proportion by the most-active ten percent of the accounts on November 4, 2022, between 6pm and 12am BST, including an overall measure from that day. (Source: @estebanpdl/DFRLab)
Image showing the YouTube streaming video URL around BrazilWasStolen. The top-left image shows the number of engagements, according to the social media monitoring tool BuzzSumo. Based on the Internet Archive’s Wayback Machine, the DFRLab explored the source code and found the exact date of the streaming. (Source: BuzzSumo, top left; Wayback Machine, bottom left; YouTube/archive, right)
Screengrabs from social media accounts on different platforms amplifying the video by Argentinian Fernando Cerimedo, who started spreading disinformation and claims of electoral fraud after the presidential runoff. (Source: Telegram, top left; Twitter, bottom left; right, top to bottom: Odysee, Rumble, BitChute, Spotify, CloutHub)
Screengrabs from Instagram and Telegram search results using BrazilWasStolen as a query search. (Source: Instagram, left; Telegram, right)
After Twitch removed an account named brazilwasstolen for violating platform policies, the account reappeared under the new name brazilwasstolenn. (Source: Twitch)
Network graph showing the most shared Telegram channels by accounts that used either BrazilWasStolen or BrazilianSpring in their usernames. The size of the node (a telegram channel) was calculated by their out-degree (outward interactions to other channels). (Source: @estebanpdl/DFRLab)

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@DFRLab

@AtlanticCouncil's Digital Forensic Research Lab. Catalyzing a global network of digital forensic researchers, following conflicts in real time.