Detection of Induced Activity in Social Networks: Model and Methodology

Abstract

This paper examines the problem of social media special operations and especially induced support in social media during political election campaigns. The theoretical background of the paper is based on the study fake activity in social networks during pre-election processes and the existing models and methods of detection of such activity. The article proposes a methodology for identifying and diagnosing induced support for a political project. The methodology includes a model of induced activity, an algorithm for segmenting the audience of a political project, and a technique for detecting and diagnosing induced support. The proposed methodology provides identification of network combatants, participants of social media special operations, influencing public opinion in the interests of a political project. The methodology can be used to raise awareness of the electorate, the public, and civil society in general about the presence of artificial activity on the page of a political project.

Insights into How Vietnamese Retailers Utilize Social Media to Facilitate Knowledge Creation through the Process of Value Co-Creation

“…This brings to the fore the concept of rarity and association with SM influencers which equates to celebrity authenticity and the fulfilling of consumer emotional needs. Considering the fact that digital marketing strategists are concerned with truth in the context of SM dialogue, it is useful to note that Gavra et al [27] point out that a methodological process can be used that enables algorithms to segment audiences and detect and diagnose support through utilizing relevant data/information that is conveyed via SM interactions. In terms of an in-depth understanding of how certain consumer group(s) function, it can be considered relevant to analyze both the level of feedback and the accounts of those engaged in the various forms of discourse.…”

Editorial for the Special Issue “Selected Papers from the 9th Annual Conference ‘Comparative Media Studies in Today’s World’ (CMSTW’2021)”

“…While the latter, in the form of bots and trolls, are studied actively, studies of the more subtle and fine-tuned efforts of opinion induction are less frequent. The authors of [19] developed a methodology for the detection of strategic communicators, whom the authors call "network combatants" and reconfigure the structure of authentic discourse and user relations within a given discussion.…”