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Comparative analysis of social bots and humans during the COVID-19 pandemic
Using more than 4 billion tweets and labels on more than 5 million users, this paper compares the behavior of humans and bots politically and semantically during the pandemic. Results reveal liberal bots are more central than humans in general, but less important than institutional humans as the eli...
Autores principales: | Chang, Ho-Chun Herbert, Ferrara, Emilio |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Nature Singapore
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9244092/ https://www.ncbi.nlm.nih.gov/pubmed/35789937 http://dx.doi.org/10.1007/s42001-022-00173-9 |
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