text: Moments In October 2015, Twitter introduced "Moments"—a feature that allows users to curate tweets from other users into a larger collection. Twitter initially intended the feature to be used by its in-house editorial team and other partners; they populated a dedicated tab in Twitter's apps, chronicling news headlines, sporting events, and other content. In September 2016, creation of moments became available to all Twitter users.
  Algorithm
  On October 21, 2021, report based on a "long-running, massive-scale randomized experiment" that analyzed "millions of tweets sent between 1 April and 15 August 2020", found that Twitter's machine learning recommendation algorithm amplified right-leaning politics on personalized user Home timelines. The report compared seven countries with active Twitter users where data was available—Germany, Canada, the United Kingdom, Japan, France, and Spain—and examined Tweets "from major political groups and politicians". Researchers used the 2019 Chapel Hill Expert Survey (CHESDATA) to position parties on political ideology within each country. The "machine learning algorithms"—introduced by Twitter in 2016—personalized 99% of users' feeds by displaying Tweets—even older Tweets and Retweets from accounts the user had not directly followed—but that the algorithm had "deemed relevant" to the users' past preferences. Twitter randomly chose 1% of users whose Home timelines displayed content in reverse-chronological order from users they directly followed.