Cargando…
Emergent dynamics of extremes in a population driven by common information sources and new social media algorithms
We quantify how and when extreme subpopulations emerge in a model society despite everyone having the same information and available resources – and show that counterintuitively these extremes will likely be enhanced over time by new social media algorithms designed to reduce division. We verify our...
Autores principales: | Johnson, N. F., Manrique, P., Zheng, M., Cao, Z., Botero, J., Huang, S., Aden, N., Song, C., Leady, J., Velasquez, N., Restrepo, E. M. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6695450/ https://www.ncbi.nlm.nih.gov/pubmed/31417176 http://dx.doi.org/10.1038/s41598-019-48412-w |
Ejemplares similares
-
Online hate network spreads malicious COVID-19 content outside the control of individual social media platforms
por: Velásquez, N., et al.
Publicado: (2021) -
Hidden order across online extremist movements can be disrupted by nudging collective chemistry
por: Velásquez, N., et al.
Publicado: (2021) -
Women’s connectivity in extreme networks
por: Manrique, Pedro, et al.
Publicado: (2016) -
Open source data reveals connection between online and on-street protest activity
por: Qi, Hong, et al.
Publicado: (2016) -
How Do Qataris Source Health Information?
por: Choudhury, Sopna M., et al.
Publicado: (2016)