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Analytics & Predictive Models for Social Media

Part 1: Information flow in social media (slides) Collecting social media data Extracting and tracking the flow of relevant information Correcting for the effects of missing and incomplete data Predicting and modeling the flow of information Identifying networks of information flow Part 2: Rich user interactions (slides) Predicting and recommending links in network Modeling tie strenght Modeling trust and distrust, frieds and foes How users evaluate one another and the social media content

Google has pledged $6.5 million in funding to support fact-checkers and nonprofit organizations that are combating misinformation around the world, with an immediate focus on coronavirus

an overabundance of information can make it harder for people to obtain reliable guidance about the coronavirus pandemic

the mixed and confused messaging around the pandemic has the potential to cause major damage. If even one group of people thinks that they're immune, for example, they could be going out in public, ignoring social distancing rules, and spreading the virus unwittingly, essentially undoing the efforts of those who've correctly self-isolated and sacrificed to play their part.