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Content type: Examples
While traditional media sought to criminalize the widespread November 2020 protests in Peru following the Congressional ouster of President Vizcarra, witnesses disseminated videos and photographs of police abuse on social networks. In the fear and uncertainty, many myths also circulated. In Peru, citizens have the right to refuse to allow police to check their cellphones unless they have a court order; slowed or absent wireless connections may simply be due to overload; as public officials,…
Content type: Examples
On November 9, 2020, after a year of escalating tensions, Peruvian president Martín Vizcarra was impeached on the grounds of "moral incapacity" by lawmakers threatened by his anti-corruption investigations and the policy reform he led. The street protests that followed all over the country were coordinated via Instagram, Twitter, WhatsApp, and TikTok (#MerinoNoMeRepresenta) by hundreds of newly-created small, decentralised organisations. The march on November 14 is thought to be the largest in…
Content type: Examples
Despite having promised in 2016 not to facilitate domestic surveillance, the AI startup Dataminr used its firehose access to Twitter to alert law enforcement to social media posts with the latest whereabouts and actions of demonstrators involved in the protests following the killing of George Floyd. Dataminr's investors include the CIA and, previously, Twitter itself. Twitter's terms of service ban software developers from tracking or monitoring protest events. Some alerts were sourced from…
Content type: Examples
During the Black Lives Matter protests of summer 2020, US police took advantage of a lack of regulation and new technologies to expand the scope of people and platforms they monitor; details typically emerge through lawsuits, public records disclosures, and stories released by police department PR as crime prevention successes. A report from the Brennan Center for Justice highlights New York Police Department threats to privacy, freedom of expression, and due process and the use of a predator…
Content type: Examples
In May 2018, US Immigration and Customs Enforcement abandoned the development of machine learning software intended to mine Facebook, Twitter, and the open Internet to identify terrorists. The software, announced in the summer of 2017, had been a key element of president Donald Trump's "extreme vetting" programme and expected to flag at least 10,000 people a year for investigation. ICE decided instead to opt for a contractor who could provide training, management, and human personnel to do the…