Inferring mechanisms of response prioritization on social media under information overload.

ABSTRACT: Human decision-making is subject to the biological limits of cognition. The fluidity of information propagation over online social media often leads users to experience information overload. This in turn affects which information received by users are processed and gain a response to, imposing constraints on volumes of, and participation in, information cascades. In this study, we investigate properties contributing to the visibility of online social media notifications by highly active users experiencing information overload via cross-platform social influence. We analyze simulations of a coupled agent-based model of information overload and the multi-action cascade model of conversation with evolutionary model discovery. Evolutionary model discovery automates mechanistic inference on age

SUBMITTER: Gunaratne C 

PROVIDER: S-EPMC7809357 | biostudies-literature | 2021 Jan

REPOSITORIES: biostudies-literature