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CooRTweet 2.1.0

• Added a new multi-modal and multi-platform dataset for testing and demonstration purposes (see documentation for “german_elections” data).
• Updated the vignette
• New function to simulate data

CooRTweet 2.0.2

Edit the function documentation to address specific issues and enhance clarity. This includes removing obsolete information about min_repetition in the detect_groups documentation and correcting typos in the vignettes.

CooRTweet 2.0.1

Fixed a bug that under certain circumstances prevented the number of shares from being calculated correctly with the accounts_stats function.

CooRTweet 2.0.0

A major release with many important breaking changes. Package users upgrading to version 2.0.0 should pay attention to the functions detect_groups and generate_coordinated_network

New features

• completely reworked the code that generates the coordination network. There is now a new function generate_coordinated_network
• The results from detect_groups can now be subset into “faster” subnetworks with the new function flag_speed_share
• The prep_data function helps to bring other social media data into the right shape

Changes

Most changes are related to two areas of improvement: the way how the coordination network is generated and naming conventions used in this package

• detect_coordinated_groups function was renamed to detect_groups, alognside we also renamed the min_repetition to min_participation to better reflect its meaning. The function generally performs still performs the same operation as before.
• generate_network was removed and replaced with generate_coordination_network, which is a completely rewritten approach to the network generation.
• We globally changed the wording of “user” to “account”, which is more faithful to the theoretical framework of this package. The term “account” describes the data much better.
• Therefore, the column formally named id_user (found in many functions) was now renamed to account_id

Dropped Features

We decided to drop the feature to detect cotweeting behaviour based on text similarity for this release. In practical applications, the detect_similar_text function was not performing up to our standards and we are currently looking into a fresh approach to implement such a feature.

CooRTweet 1.4.0

This is a minor release adding new features

New features

• Added detect_similar_text() function that finds tweets based on text similarity (cotweets). Refer to the documentation for details.
• The reshape_tweets() function was extended with the intent = "cotweet", which reformats your data to fit in the detect_similar_text() function

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.