Chaitanya Kaligotla, Enver Yücesan, Stephen E. Chick
This paper investigates the dynamics of communication on social media, related to the spread of rumours, by studying the impact of micro-level agent interactions within social media discussions, on macro-level outcomes related to the diffusion of rumours. An agent-based framework is used to model social media discussions, modularly describing heterogeneous agents with differentiating characteristics, their interaction dynamics, rumour state transitions, and the evolution of networks on which these agents interact. Studying the effect of population, agent, interaction, and network characteristics, we find that some unobservable characteristics, like the initial distribution of opinions, play a significant role in rumour outcomes, particularly the homogeneity and polarisation of opinions. We report our findings on the mechanism and interactions and suggest heuristics for managers to counter the spread of unfavourable rumours. © 2022 US Government Author.
Consortium for Advanced Science and Engineering (CASE), The University of Chicago, Chicago, IL, United States; Technology and Operations Management Area, INSEAD, Singapore; Technology and Operations Management Area, INSEAD, Fontainebleau, France
