Social uncertainty in the digital world
Bibliographic Data
| ID | 19159773 |
|---|---|
| Authors | Amanda M Ferguson (0000-0002-5451-9209, MRC Cognition and Brain Sciences Unit, corresponding author), Georgia Turner (0000-0001-8306-8454, MRC Cognition and Brain Sciences Unit), Amy Orben (0000-0002-2937-4183, MRC Cognition and Brain Sciences Unit) |
| Year | 2023 |
| Publication date | 2023-11-01 |
| Open Access | No |
| Type | PREPRINT |
| Publisher | Center for Open Science (PUBLISHER) |
| DOI | 10.31234/osf.io/m97ug |
| OpenAlex | W4388230872 |
| Language | EN |
The social world is inherently uncertain. We present a computational framework for thinking about how increasingly popular online environments modulate the social uncertainty we experience, dependent on the type of social inferences we make. This framework draws on Bayesian inference, which involves combining multiple informational sources to update our beliefs
Business · Data science · Political science · Computer Science · Mental Health Research Topics · Opinion Dynamics and Social Influence · Socioeconomic and Demographic Analysis
| Highly cited | No |
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