Facebook has recently announced that it is introducing its new “differential privacy (DP) framework” for protecting user information in shared datasets. This will allow it to share
social data in public and with academics, without the risk of compromising insight.
As explained by the social media giant, “Differential privacy minimizes the risk of re –
identification of individual data with the help of possible additional information – even
information we cannot anticipate now. Applying a DP framework takes into account the
the sensitivity of the data set and adds noise proportionally to ensure with a high probability that no one can re-identify users.”