Facebook Privacy-Protected Full URLs Data Set

Solomon Messing, Christina DeGregorio, Bennett Hillenbrand,Gary King, Saurav Mahanti Zagreb Mukerjee,Chaya Nayak, Nathaniel Persily,Bogdan State, Arjun Wilkins

semanticscholar(2020)

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摘要
This document details a data set designed to allow researchers to study the distribution of URLs on Facebook and how users interacted with them. We’ve protected this data set using differential privacy, which adds enough noise to the data to provide precise guarantees that no significant additional information can be learned from the data about individuals (beyond what is already available from any external source). That means that while no one can learn anything significant about the individuals from the data set (including whether they are in the dataset or not), researchers can still use the data to uncover broad time series or group-level trends and relationships of interest.
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