A Review of Techniques for Detecting Illicit Messages on Twitter

Román, Stadyn; Cuenca, Erick

doi:10.1109/etcm58927.2023.10309025

Cited by 1 publication

(1 citation statement)

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“…Bots have become more prominent since the discourse in favor or against specific politicians can be manipulated to distort the political order and further results [1]. Considering bots' influence on the public discourse, they can also spread hate speech on social media [7,8]. Although there are different working definitions for hate speech, the definition considered for this analysis is ".…”

Section: Global Context Of Bots In Electionsmentioning

confidence: 99%

Identifying Bot Accounts on Twitter During the 2023 Ecuadorian Presidential Election

Diaz,

Luzuriaga,

Salazar

et al. 2024

Preprint

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The 2023 Ecuadorian presidential elections, contested between Daniel Noboa and Luisa González, marked a significant event in the nation's democratic journey. Amidst the fervor of campaigns and political debates, the role of social media, particularly Twitter, emerged as a focal point of interest. This study delves into the Twitter activities of both candidates, aiming to discern the potential use of automated actors, commonly known as ''bots", in shaping online narratives and influencing public opinion. By employing state-of-the-art bot detection methodologies, we analyzed the tweet patterns, engagement metrics, and content dissemination strategies associated with the official accounts of the candidates. Our findings shed light on the extent and implications of bot-driven interactions, offering insights into the evolving dynamics of political communication in the digital age. The results underscore the importance of ensuring transparency and authenticity in online electoral campaigns, pivotal for preserving the sanctity of the democratic process.

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Section: Global Context Of Bots In Electionsmentioning

confidence: 99%