News and articles about social research methodology, digital research, computational social science, R coding, data and text mining
The Pearson’s r coefficient is the most popular metric of correlation. In the social sciences, researchers not attuned to the nuances of statistics may be tempted to use it every time they need to compute the correlation between variables, including time series. However, several aspects should be considered when applying this method to time series […]
We have released CooRTweet version 2.0. This version revises the approach, fixes some bugs, and introduces new features. The package and introductory vignette can be found on CRAN: https://cran.r-project.org/web/packages/CooRTweet.
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
For the Advanced Data Analysis with R course in the University of Vienna’s Master in Communication Science, I created a free online book explaining key R functions and data analysis operations, with a focus on time series analysis. You can find it here: Time Series Analysis With R
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
It has just been published “Multi-Party Media Partisanship Attention Score. Estimating Partisan Attention of News Media Sources Using Twitter Data in the Lead-up to 2018 Italian Election”. Extending the computational method first introduced by Benkler, Faris, Roberts and others (see here and here), the paper makes use of Twitter data to measure partisan attention to