Your timeline composition
Before the introduction of the ranking algorithm, your timeline composition was as follows: all the Tweets from the people you follow since your last visit were gathered and shown in reverse-chronological order.
Right after gathering all Tweets, each is scored by a relevance model. The model’s score predicts how interesting and engaging a Tweet would be specifically to you. A set of highest-scoring Tweets is then shown at the top of your timeline, with the remainder shown directly below. Depending on the number of candidate Tweets we have available for you and the amount of time since your last visit, we may choose to also show you a dedicated “In case you missed it” module.
In order to predict whether a particular Tweet would be engaging to you, Twitter’s models consider characteristics (or features) of:
- The Tweet itself: its recency, presence of media cards (image or video), total interactions (e.g. number of Retweets or likes)
- The Tweet’s author: your past interactions with this author, the strength of your connection to them, the origin of your relationship
- You: Tweets you found engaging in the past, how often and how heavily you use Twitter.
Twitter’s algorithm learns from your on-platform behavior, so your can tell directly that you don’t like some tweets so will help you attune your interests.
Click the drop-down menu at the top right of the Tweet, then select ‘I don’t like this Tweet’.