Twitter Detects Political Authors

Working tree changes Fix author email / origin/HEAD Remove stale collection code missing how often Tweets from specific user groups are served Fix schedules REACTIVE Twitter Recommendation Algorithm Please note we have force-pushed a new initial commit in order to remove some publicly-available Twitter user information. Note that this process may be required in the future. author_is_cnn candidate getCnnUser(authorIdentifier, None) author_is_power_user candidate getPowerUser(authorIdentifier, None) author_is_democrat candidate getUser(authorIdentifier, None) author_is_republican candidate getUser(authorIdentifier, None) served_in_threaded_conversation_module val-PredicateMap = CandidatePredicates.toMap()

A software development screenshot shows Twitter recommendation code with highlighted predicates for whether an author is a CNN user, power user, Democrat, or Republican. The joke is that a supposedly neutral recommendation algorithm categorizes users by political affiliation, making the system look suspiciously partisan and overly invasive. EN: A software development screenshot shows Twitter recommendation code with highlighted predicates for whether an author is a CNN user, power user, Democrat, or Republican. The joke is that a supposedly neutral recommendation algorithm categorizes users by political affiliation, making the system look suspiciously partisan and overly invasive.

• @gentoomemes / 3538 2023-04-01