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TítuloHybrid Intelligence Strategies for Identifying, Classifying and Analyzing Political Bots
AutoresBerta García Orosa, Pablo Gamallo, Patricia Martín-Rodilla, Rodrigo Martínez-Castaño
TipoArtículo de revista
Fonte Social Sciences, MDPI, Vol. 357, No. 10, 2021.
ISBNISSN: 2076-0760
AbstractPolitical bots, through astroturfing and other strategies, have become important players in recent elections in several countries. This study aims to provide researchers and the citizenry with the necessary knowledge to design strategies to identify bots and counteract what international organizations have deemed bots’ harmful effects on democracy and, simultaneously, improve automatic detection of them. This study is based on two innovative methodological approaches: (1) dealing with bots using hybrid intelligence (HI), a multidisciplinary perspective that combines artificial intelligence (AI), natural language processing, political science, and communication science, and (2) applying framing theory to political bots. This paper contributes to the literature in the field by (a) applying framing to the analysis of political bots, (b) defining characteristics to identify signs of automation in Spanish, (c) building a Spanish-language bot database, (d) developing a specific classifier for Spanish-language accounts, (e) using HI to detect bots, and (f) developing tools that enable the everyday citizen to identify political bots through framing.
Palabras chavebots; framing; hybrid intelligence; empowerment; social media