Regional patterns and networked behavior: interdisciplinary methods for identifying bots in the 2020 elections in Brazil
DOI:
https://doi.org/10.5753/isys.2022.2415Keywords:
Complex networks, Network science, Elections, Social botsAbstract
To improve the detection of automated behavior on social networks in the Brazilian scenario, this work applies five methods of bot identification - analysis of (i) networks, (ii) sentiment, (iii) profile, (iv) temporal, and (v) crossing of these analyses - to find possible bots posting on the comments of tweets from candidates for the mayors' election in the capitals Rio de Janeiro, São Paulo, Recife, Porto Alegre and Fortaleza in 2020. After identification, we followed two strands of analysis (namely, network and lexical). We seek to better understand if there are different types of bots in each region, different network performances and vocabularies. Among the preliminary results obtained, we highlight the multiplicity of types of automation, understanding of regional variations and the role of bots in the Brazilian electoral scenario.
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