Computational Model Library

Information Spread (version 1.0.0)

Our model shows how disinformation spreads on a random network of individuals. The network is weighted and directed. We are looking at how different factors affect how fast, or how many people get “infected” with the misinformation. One of the main factors that we were curious about was perceived trustworthiness. This is because we want to see if people of power, or a high degree of perceived trustworthiness, were able to push misinformation to more people and convert more people to believe the information.

Release Notes

Initial Release. Netlogo Required to run the computational model.

Download Version 1.0.0
Version Submitter First published Last modified Status
1.0.0 Aaron Beck Thu Dec 2 00:04:58 2021 Thu Dec 2 00:04:58 2021 Published

Discussion

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