Computational Propaganda Theory and Bot Detection System: Critical Literature Review
Manita Pote

TL;DR
This paper reviews the evolution of propaganda into computational forms on social media, emphasizing the need for advanced bot detection methods that address coordinated activities, multimedia features, and diverse platforms.
Contribution
It provides a critical literature review highlighting gaps in current bot detection systems and suggests directions for future research in computational propaganda.
Findings
Current systems mainly detect individual bots, not coordinated botnets.
Most detection methods focus on Twitter, neglecting other platforms.
Existing systems often exclude image features in detection processes.
Abstract
According to the classical definition, propaganda is the management of collective attitudes by manipulation of significant symbols. However this definition has changed to computational propaganda, the way manipulation takes place in digital medium. Computational propaganda is the use of algorithms, automation and human curation to purposefully distribute misleading information over social media networks to manipulate public opinion, for political polarization etc. Digital media platforms have introduced new modalities of propaganda such as the use of social bots and state-organized 'troll armies' for social astroturfing to simulate public support or opposition towards a particular topic. Along with this digital media has blurred the line between different forms of propaganda. Hence existing conceptual and epistemological frameworks in propaganda studies need a revision. One of the…
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Taxonomy
TopicsMisinformation and Its Impacts
