Collection Details
Creating chaos online :disinformation and subverted post-publics
Zelenkauskaite, Asta - Nama Orang
Denial describes information operations that allow for the achieving of stra-tegic goals. This book is set to expose efforts to justify Russian trolling. Spe-cifically, this book documents patterns and frames of systematic denialism used to justify Russian trolling that circulated in two unrelated contexts and periods of time. This book not only uncovers justification arguments and the way they are constructed but also provides explanations of their origins and what led them to become so pervasive online. Furthermore, through the concept of post-publics, this book exemplifies how the public spheres are disrupted by employing discursive means of denialism, despite rational evidence grounded in facts.I am compelled to examine the characteristics of Russian trolling across online platforms for a range of reasons. Russian trolling has been exposed as an ideological weapon employed to manipulate public opinion aided by disinformation (Berghel & Berleant, 2018). Manipulation was found to be adopting tactics typical for astroturfing trolling such as disruption and dis-trust (Berghel & Berleant, 2018), and deflection of attention to irrelevant issues (Zelenkauskaite & Niezgoda, 2017), thus creating chaos online.This book is further driven by questions such as, What makes it so dif-ficult to render Russian trolling visible despite unequivocal evidence? How does the justification of Russian trolling interference challenge democratic
Additional Information
- Penerbit
- United States of America : univercity of megican (2022)
- GMD ( General Material Designation )
- Electronic Resource
- No. Panggil
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PN4784.F27.CREa
- ISBN/ISSN9780472075522
- Klasifikasi
- PN4784.F27.
- Deskripsi Fisik
- 319 p.
- Bahasa
- English
- Edisi
- -
- Subjek
- Internet
Public opinion
Humans - Pernyataan Tanggungjawab
- -
- Info Detail Spesifik
- -
- GMD
- Electronic Resource
- Tipe Isi
- text
- Tipe Media
- computer
- Tipe Pembawa
- online resource