Detection and impact estimation of social bots in the Chilean Twitter network

Simple item page
dc.article.number6525
dc.catalogadoraba
dc.contributor.authorMendoza Rocha, Marcelo
dc.contributor.authorProvidel, Eliana
dc.contributor.authorSantos, Marcelo
dc.contributor.authorValenzuela, Sebastián
dc.date.accessioned2024-04-04T17:01:12Z
dc.date.available2024-04-04T17:01:12Z
dc.date.issued2024
dc.description.abstractThe rise of bots that mimic human behavior represents one of the most pressing threats to healthy information environments on social media. Many bots are designed to increase the visibility of low-quality content, spread misinformation, and artificially boost the reach of brands and politicians. These bots can also disrupt civic action coordination, such as by flooding a hashtag with spam and undermining political mobilization. Social media platforms have recognized these malicious bots’ risks and implemented strict policies and protocols to block automated accounts. However, effective bot detection methods for Spanish are still in their early stages. Many studies and tools used for Spanish are based on English-language models and lack performance evaluations in Spanish. In response to this need, we have developed a method for detecting bots in Spanish called Botcheck. Botcheck was trained on a collection of Spanish-language accounts annotated in Twibot-20, a large-scale dataset featuring thousands of accounts annotated by humans in various languages. We evaluated Botcheck’s performance on a large set of labeled accounts and found that it outperforms other competitive methods, including deep learning-based methods. As a case study, we used Botcheck to analyze the 2021 Chilean Presidential elections and discovered evidence of bot account intervention during the electoral term. In addition, we conducted an external validation of the accounts detected by Botcheck in the case study and found our method to be highly effective. We have also observed differences in behavior among the bots that are following the social media accounts of official presidential candidates.
dc.fechaingreso.objetodigital2024-04-03
dc.fuente.origenORCID
dc.identifier.doi10.1038/s41598-024-57227-3
dc.identifier.eissn2045-2322
dc.identifier.urihttp://doi.org/10.1038/s41598-024-57227-3
dc.identifier.urihttps://repositorio.uc.cl/handle/11534/84959
dc.information.autorucEscuela de Ingeniería; Mendoza Rocha, Marcelo; 0000-0002-7969-6041; 1237020
dc.information.autorucFacultad de Comunicaciones; Valenzuela, Sebastián; 0000-0001-5991-7364; 6859
dc.language.isoen
dc.nota.accesocontenido completo
dc.pagina.final21
dc.pagina.inicio1
dc.revistaScientific Reports
dc.rightsacceso abierto
dc.rights.licenseCC BY 4.0 DEED Attribution 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectSocial bots
dc.subjectBot detection
dc.subjectPolitical campaigns
dc.subject.ddc000
dc.subject.deweyCiencias de la computaciónes_ES
dc.titleDetection and impact estimation of social bots in the Chilean Twitter network
dc.typeartículo
dc.volumen14
sipa.codpersvinculados1237020
sipa.codpersvinculados6859
sipa.trazabilidadORCID;2024-03-25
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
s41598-024-57227-3.pdf
Size:
3.02 MB
Format:
Adobe Portable Document Format
Description:
Download
Collections
Artículos de revistas