Tailoring heuristics and timing AI interventions for supporting news veracity assessments
The detection of false and misleading news has become a top priority to researchers and practitioners. Despite the large number of efforts in this area, many questions remain unanswered about the ideal design of interventions, so that they effectively inform news consumers. In this work, we seek to...
Guardado en:
Autores principales: | Benjamin D. Horne, Dorit Nevo, Sibel Adali, Lydia Manikonda, Clare Arrington |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Elsevier
2020
|
Materias: | |
Acceso en línea: | https://doaj.org/article/75be93c14a644baa8ccb920d2a44c6aa |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Children as creators, thinkers and citizens in an AI-driven future
por: Safinah Ali, et al.
Publicado: (2021) -
FEATURES TO DISTINGUISH BETWEEN TRUSTWORTHY AND FAKE NEWS
por: Daniel CHOVANEC, et al.
Publicado: (2021) -
Covid-19 and the Information Crisis of Liberal Democracies: Insights from Anti-Disinformation Action in Italy and EU
por: Fabrizio Di Mascio, et al.
Publicado: (2021) -
Conceptualizing AI literacy: An exploratory review
por: Davy Tsz Kit Ng, et al.
Publicado: (2021) -
University Community Members’ Perceptions of Labels for Online Media
por: Ryan Suttle, et al.
Publicado: (2021)