Studying Twitter User Accounts: Spotting Suspicious Social Bot Behavior
Gestores bibliográficos
Authors
item.contributor.advisor
ORCID:
Journal Title
Journal ISSN
Volume Title
Publisher
Universidad del Desarrollo. Facultad de Ingeniería
item.page.isbn
item.page.issn
item.page.issne
item.page.doiurl
item.page.extent
80 p., appendices
item.page.accessRights
item.page.other
item.page.references
Abstract
Using original tweets published during the first round of the 2017 Chilean
presidential elections, this work aims to study the bot behavior of Twitter users
by specific patterns retrieved from their...
Description
Project presented to the Faculty of Engineering of the Universidad del Desarrollo
to opt for the academic degree of Master in data science
item.page.coverage.spatial
item.page.sponsorship
Citation
Keywords
070037S , Data Science , Social Bot , Twitter , Visualization , UMAP
item.page.dc.rights
item.page.dc.rights.url
Estadísticas de uso
1 0,8 0,5 0,3 0
Septiembre 2025Octubre 2025Noviembre 2025Diciembre 2025Enero 2026Febrero 2026Marzo 2026