Cargando…
Exposure to social bots amplifies perceptual biases and regulation propensity
Automated accounts on social media that impersonate real users, often called “social bots,” have received a great deal of attention from academia and the public. Here we present experiments designed to investigate public perceptions and policy preferences about social bots, in particular how they ar...
Autores principales: | Yan, Harry Yaojun, Yang, Kai-Cheng, Shanahan, James, Menczer, Filippo |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10673860/ https://www.ncbi.nlm.nih.gov/pubmed/38001150 http://dx.doi.org/10.1038/s41598-023-46630-x |
Ejemplares similares
-
Neutral bots probe political bias on social media
por: Chen, Wen, et al.
Publicado: (2021) -
Publisher Correction: Neutral bots probe political bias on social media
por: Chen, Wen, et al.
Publicado: (2022) -
Botometer 101: social bot practicum for computational social scientists
por: Yang, Kai-Cheng, et al.
Publicado: (2022) -
The spread of low-credibility content by social bots
por: Shao, Chengcheng, et al.
Publicado: (2018) -
How Twitter data sampling biases U.S. voter behavior characterizations
por: Yang, Kai-Cheng, et al.
Publicado: (2022)