Social media data as source for empirical studies have recently come under renewed scrutiny, given the widespread deletion of Russian disinformation pages by Facebook as well as the suspension of… Click to show full abstract
Social media data as source for empirical studies have recently come under renewed scrutiny, given the widespread deletion of Russian disinformation pages by Facebook as well as the suspension of Alt Right accounts by Twitter. Missing data is one issue, compounded by the fact that the ‘archives’ (CrowdTangle for Facebook and Gnip for Twitter) are also owned by the companies. Previously questions revolved around the extent to which corporate data collected for one purpose (e.g., advertising) could be em-ployed by social science for another (e.g., political engagement). Social media data also could be said to be far from ‘good data’, since the platforms not only change and introduce new data fields (‘reactions’ on Facebook), but also increasingly narrow what is available to researchers for privacy reasons. Profound ethical issues were also put on display recently during the Cambridge Analytica scandal, as science became implicated in the subsequent ‘locking down' of social media data by the corporations. How to approach social media data these days?
               
Click one of the above tabs to view related content.