Persecution Act as Filter Bubble Effect: Digital Society and The Shift of Public Sphere

Abstract

This article discusses persecution acts associated with the filter bubble effect, the condition of digital society, the concept of the public sphere and the rational action theory of Jurgen Habermas. The results, obtained through the literature research method, show that acts of persecution in social media can be caused by the personalization of the web. Social media allows the occurrence of large bubbles (filter bubbles) that make users reject ideologies or other truths. This becomes a revolution of mindset due to the freedom of information. Meanwhile, in the Habermas public sphere concept, which emphasizes the existence of a critical and rational discussion, this phenomenon indicates a shift. The shift that occurs brings about the lifeworld realm as the basis for the formation of the public sphere with its communicative action, again dominated by the system realm that is dominated by capitalist forces through strategic action. Thus, Habermas's initial goal of strengthening civil society's position against the dominance of the system is now changing.

PRASANGKA DAN UJARAN KEBENCIAN SIBER: PERAN POLA KOMUNIKASI DARING DAN ALGORITMA MEDIA SOSIAL (Ruang Gema dan Gelembung Informasi)

“…Maksudnya, ketika seseorang tak pernah melihat sudut pandang berbeda dari orang lain, maka kemungkinan ia untuk berlarut-larut dalam pandangannya sendiri sangat besar. Hal itu dikhawatirkan akan membuatnya mendefinisikan dunia hanya dari satu sudut pandang saja (Hidayah, 2018). Lebih lanjut Hidayah, (2018) menyatakan bahwa algoritma yang membentuk personalisasi online memutuskan untuk pengguna apa yang akan mereka lihat dan apa yang akan dilindungi dari mereka, menciptakan gelembung filter, yang mengarahkan individu ke ruang gema.…”

Analysis of Selective Exposure Cluster in the Covid-19 Vaccine Information Network on Twitter

“…In addition, the features of digital service providers that allow for personalization can allow algorithms to work to recommend information based on their likes, people they follow, last read news, and various other forms of personalization. It is known as a filter bubble [7].…”