Cargando…
Modeling information diffusion in social media: data-driven observations
Accurately modeling information diffusion within and across social media platforms has many practical applications, such as estimating the size of the audience exposed to a particular narrative or testing intervention techniques for addressing misinformation. However, it turns out that real data rev...
Autores principales: | Iamnitchi, Adriana, Hall, Lawrence O., Horawalavithana, Sameera, Mubang, Frederick, Ng, Kin Wai, Skvoretz, John |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10229893/ https://www.ncbi.nlm.nih.gov/pubmed/37265587 http://dx.doi.org/10.3389/fdata.2023.1135191 |
Ejemplares similares
-
Temporal Mobility Networks in Online Gaming
por: Alhazmi, Essa, et al.
Publicado: (2019) -
Experimental evaluation of baselines for forecasting social media timeseries
por: Ng, Kin Wai, et al.
Publicado: (2023) -
Marginalizing the Mainstream: How Social Media Privilege Political Information
por: Rogers, Richard
Publicado: (2021) -
A Comparative Study of Data-Driven Models for Travel Destination Characterization
por: Dietz, Linus W., et al.
Publicado: (2022) -
Perspective: Acknowledging Data Work in the Social Media Research Lifecycle
por: Kinder-Kurlanda, Katharina E., et al.
Publicado: (2020)