The Role of Beliefs and Behavior on Facebook: A Semiotic Approach to Algorithms, Fake News, and Transmedia Journalism
From Digital Culture & Society
Revision as of 12:38, 3 December 2023 (edit) Zf19kb (Talk | contribs) ← Previous diff |
Revision as of 12:58, 3 December 2023 (edit) (undo) Zf19kb (Talk | contribs) Next diff → |
||
Line 6: | Line 6: | ||
==== Context ==== | ==== Context ==== | ||
+ | This article takes a Peircean semiotic perspective to explore two key aspects: the algorithms used by Facebook to enhance audience engagement and their influence on the dissemination of fake news in the realm of transmedia journalism, and how our individual methods of fixing beliefs contribute to this process. Employing a qualitative study grounded in Peircean semiotics, the analysis focuses on critical concepts such as truth, reality, representation, fixation of beliefs, and collateral experiences. This approach seeks to show the intricate relationship between algorithms, fake news, and virality journalism. The research outcomes display the shared responsibility in the proliferation of fake news, attributing accountability not only to social media networks like Facebook but also to audiences whose behaviors and beliefs significantly contribute to shaping and reinforcing the algorithms at play. | ||
==== Overview ==== | ==== Overview ==== |
Revision as of 12:58, 3 December 2023
Contents |
The Role of Beliefs and Behavior on Facebook: A Semiotic Approach to Algorithms, Fake News, and Transmedia Journalism
Borges, P. M., & Gambarato, R. R. (2019). The Role of Beliefs and Behavior on Facebook: A Semiotic Approach to Algorithms, Fake News, and Transmedia Journalism. International Journal of Communication, 13, 603-.
Context
This article takes a Peircean semiotic perspective to explore two key aspects: the algorithms used by Facebook to enhance audience engagement and their influence on the dissemination of fake news in the realm of transmedia journalism, and how our individual methods of fixing beliefs contribute to this process. Employing a qualitative study grounded in Peircean semiotics, the analysis focuses on critical concepts such as truth, reality, representation, fixation of beliefs, and collateral experiences. This approach seeks to show the intricate relationship between algorithms, fake news, and virality journalism. The research outcomes display the shared responsibility in the proliferation of fake news, attributing accountability not only to social media networks like Facebook but also to audiences whose behaviors and beliefs significantly contribute to shaping and reinforcing the algorithms at play.