/lp/association-for-computing-machinery/fact-checking-effect-on-viral-hoaxes-a-model-of-misinformation-spread-9IrWOC0K5l
References
References for this paper are not available at this time. We will be adding them shortly, thank you for your patience.
- Datasource
- Association for Computing Machinery
- Copyright
- Copyright © 2015 by ACM Inc.
- ISBN
- 978-1-4503-3473-0
- doi
- 10.1145/2740908.2742572
- Publisher site
- See Article on Publisher Site
Abstract
Fact-checking Effect on Viral Hoaxes: A Model of Misinformation Spread in Social Networks Marcella Tambuscio1 , Giancarlo Ruffo1 , Alessandro Flammini2 , Filippo Menczer2 2 1 Computer Science Department, University of Turin, Italy School of Informatics and Computing, Indiana University, Bloomington, USA ABSTRACT The Internet and online social networks have greatly facilitated and accelerated information diffusion processes, but at the same time they provide fertile ground for the spread of misinformation, rumors and hoaxes. The goal of this work is to introduce a simple modeling framework to study the diffusion of hoaxes and in particular how the availability of debunking information may contain their diffusion. As traditionally done in the mathematical modeling of information diffusion processes, we regard hoaxes as viruses: users can become infected if they are exposed to them, and turn into spreaders as a consequence. Upon verification, users can also turn into non-believers and spread the same attitude with a mechanism analogous to that of the hoax-spreaders. Both believers and non-believers, as time passes, can return to a susceptible state. Our model is characterized by four parameters: spreading rate, gullibility, probability to verify a hoax, and that to forget one's current belief. Simulations on homogeneous,