2016
DOI: 10.5771/0175-274x-2016-4-242
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Happenings Foreseen: Social Media and the Predictive Policing of Riots

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Cited by 5 publications
(11 citation statements)
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“…Analisis media sosial juga dilakukan untuk mencegah kerusuhan. Pemolisian ini menggabungkan antara pemolisian prediktif dengan model pemolisian protest and riots, di mana media sosial menjadi sumber data utama dalam pemolisian prediktif berbasis big data, sehingga kepolisian dapat mengubah strategi mereka dari respons yang reaktif, menjadi strategi pencegahan (Binder, 2016).…”
Section: Pendahuluanunclassified
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“…Analisis media sosial juga dilakukan untuk mencegah kerusuhan. Pemolisian ini menggabungkan antara pemolisian prediktif dengan model pemolisian protest and riots, di mana media sosial menjadi sumber data utama dalam pemolisian prediktif berbasis big data, sehingga kepolisian dapat mengubah strategi mereka dari respons yang reaktif, menjadi strategi pencegahan (Binder, 2016).…”
Section: Pendahuluanunclassified
“…Informasi pribadi dan privasi masyarakat juga dapat berisiko dilanggar. Selain itu, predictive policing yang memanfaatkan big data telah digunakan untuk mengurangi kasus penembakan acak, menghubungkan kasus perampokan sesuai area dengan pelanggaran penal code tertinggi, mengidentifikasi area hot spots, meramal kerusuhan, sampai memprediksi pelaku penipuan (Pearsall, 2010;Binder, 2016;Strikwerda, 2021). Meskipun terdapat beberapa keuntungan dalam rangka membentuk pre-crime society, berbagai permasalahan pun muncul seiring dengan penggunaan data yang masif ini.…”
Section: Kelemahan Kekuatan Dan Tantangan Big Data Untuk Predictive P...unclassified
“…A dimensão da temporalidade diz respeito à reflexão sobre como a incorporação das TIC pelas forças policiais impacta o tempo de execução das ações de controle sobre ativistas, manifestantes e protestos e sobre quais são as implicações dessas mudanças para a ação coletiva contestatória (Binder, 2016;Dencik, Hintz e Carey, 2018;Perry et al, 2013). O principal argumento dessa literatura é de que as ações mais tradicionais de controle tendem a ser reativas (por exemplo, o uso de armamento menos letal e/ou de detenções para dispersão de um protesto), enquanto a incorporação de TIC amplia a possibilidade de um policiamento antecipatório ou preditivo (Binder, 2016;Dencik, Hintz e Carey, 2018). Assim, parte da ação policial se concentraria sobre os atos preparatórios do protesto, com a ampliação das possibilidades de coleta de informações sobre quem são os ativistas, quais suas reivindicações, qual o planejamento para a realização de um evento de protesto etc.…”
Section: Da Infiltração à Vigilância Digital: As Táticas Policiais De...unclassified
“…The riot surge of 2018 actually signals the failure of one of police platforms’ major goals—the preventive prediction of social unrest. Occupy movements had spiked security forces’ interests in algorithmic big data mining to forecast impending civil disorders and enable “preemptive” interventions already applied to street crime (Binder 2016; Grill 2021). In a few instances, such as anti‐Putin mobilisations in Russia in 2020, anticipatory barrages of censorship and disinformation—whether prompted by riot prediction software or cruder hunches—may have deterred protest (Leo and Lunden 2021).…”
Section: Police Platformsmentioning
confidence: 99%