Today we have released CooRnet, an R package developed for detecting coordinated link sharing behavior on Facebook and Instagram.
Given a list of URLs, the package queries the CrowdTangle API link endpoint and retrieves the Facebook shares performed by public pages, groups and verified accounts, identifying the networks involved in coordinated activity.
The basic functions of CooRnet are augmented with other useful functions that create, for instance, the graph of the coordinated networks (to do additional network analysis) or the dataset of the most shared URLs.
CooRnet implements the methods we applied and detailed in our research on coordinated link sharing behavior on Facebook, as described in the report Understanding Coordinated and Inauthentic Link Sharing Behavior on Facebook in the Run-up to 2018 General Election and 2019 European Election in Italy – where we found, for instance, that URLs shared in a coordinated way gained more engagement than those shared in a non-coordinated way – and in the paper It takes a village to manipulate the media: coordinated link sharing behavior during 2018 and 2019 Italian elections.
In these works we found that networks involved in coordinated link sharing behavior are consistently associated with the spread of misinformation on Facebook. In the two figures below you can see the proportion of blacklisted domains shared by coordinated and non-coordinated entities, and the proportion of problematic entities (signaled by Avaaz) included in the coordinated and non-coordinated entities, as emerged in our studies on the Italian elections.
A more detailed description of CooRnet can be found on the dedicated website.