
SSRC Media Well
Disinformation, misinformation, and “fake news” are longstanding phenomena that, in the wake of the digital revolution, have become newly politicized and consequential. SSRC's research on the topic.
The goal of Computational Simulation of Online Social Behavior (SocialSim) is to develop innovative technologies for high-fidelity computational simulation of online social behavior.
SocialSim will focus specifically on information spread and evolution. Current computational approaches to social and behavioral simulation are limited in this regard. Top-down simulation approaches focus on the dynamics of a population as a whole, and model behavioral phenomena by assuming uniform or mostly-uniform behavior across that population. Such methods can easily scale to simulate massive populations, but can be inaccurate if there are specific, distinct variations in the characteristics of the population. In contrast, bottom-up simulation approaches treat population dynamics as an emergent property of the activities and interactions taking place within a diverse population. While such approaches can enable more accurate simulation of information spread, they do not readily scale to represent large populations. SocialSim aims to develop novel approaches to address these challenges.


Disinformation, misinformation, and “fake news” are longstanding phenomena that, in the wake of the digital revolution, have become newly politicized and consequential. SSRC's research on the topic.

The CLC is a volunteer network of individuals trained to monitor for, critically evaluate, and report misinformation on diverse topics central to our civic life: voting, elections, public health, civil rights, and other important issues.

A collection of easy to use resources for identifying misinformation and its psychological tricks

For this first phase of our program, WhatsApp is commissioning a competitive set of awards to researchers interested in exploring issues that are related to misinformation on WhatsApp.