Update: this post refers to the first versions of the package CooRTweet, which is now a multi platform package for coordinated behavior analysis. Read more here.
I have just release the beta version of CooRTweet, an R package that I developed to help detecting coordinated networks on Twitter.
The CooRTweet package builds on the existing literature on coordinated behavior and the experience of previous software, particularly CooRnet, to provide R users with an easy-to-use tool for coordinated action detection.
Coordinated behavior is a relevant social media strategy employed for political astroturfing (Keller et al., 2020), the spread of inappropriate content online (Giglietto et al., 2020), and activism. Software for academic research and investigative journalism has been developed in the last few years to detect coordinated behavior, such as the CooRnet R package (Giglietto, Righetti, Rossi, 2020), which detects Coordinated Link Sharing Behavior (CLSB) and Coordinated Image Sharing on Facebook and Instagram (CooRnet website), and the Coordination Network Toolkit by Timothy Graham (Graham, QUT Digital Observatory, 2020), a command line tool for studying coordination networks in Twitter and other social media data. CooRTweet adds to this set of tools with an easy app for R users.
Further details and the instruction for installing and using the package are available on GitHub: https://github.com/nicolarighetti/CooRTweet