Detection of Bots and Cyborgs in Twitter: A Study on the Chilean Presidential Election in 2017

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

7 Scopus citations

Abstract

The increase of content in social networks, and specially its use in the political environment, has led to the creation and proliferation of autonomous entities commonly known as bots. Bots are programms that performs an automated task over the internet. In this study these entities were initially detected based on a manual analysis carried out on the activity produced by electoral candidates in Chile during the presidential election in year 2017. As a result of this, the need to identify these accounts in an automatic way arose, in order to asses the impact of these accounts in the social network activity during the presidential election in 2017. Various features were extracted in order to train Machine Learning algorithms for the automatic classification task using a set of publicly available data, and other semi-automatic approaches. The models obtain over $$80\%$$ in the training stage, but less than $$60\%$$ in the testing stage, thus encouraging us to continue to work in other types of representations and models in order to improve the results.

Original languageEnglish
Title of host publicationSocial Computing and Social Media. Design, Human Behavior and Analytics - 11th International Conference, SCSM 2019, Held as Part of the 21st HCI International Conference, HCII 2019, Proceedings
EditorsGabriele Meiselwitz
PublisherSpringer Verlag
Pages311-323
Number of pages13
ISBN (Print)9783030219017
DOIs
StatePublished - 2019
Externally publishedYes
Event11th International Conference on Social Computing and Social Media, SCSM 2019, held as part of the 21st International Conference on Human-Computer Interaction, HCI International 2019 - Orlando, United States
Duration: 26 Jul 201931 Jul 2019

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume11578 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference11th International Conference on Social Computing and Social Media, SCSM 2019, held as part of the 21st International Conference on Human-Computer Interaction, HCI International 2019
Country/TerritoryUnited States
CityOrlando
Period26/07/1931/07/19

Keywords

  • Bots
  • Machine learning
  • Social networks
  • Twitter

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