After reviewing the recommendation algorithm of Platform X, this is the type of content you need to post to generate high traffic.
Musk walks the talk, X (Twitter) platform just open-sourced the platform recommendation algorithm, as one of the world's largest content platforms, let's explore how X's recommendation algorithm works together.
Core Logic of X Recommendation Algorithm
X's recommendation system is mainly divided into three steps: Candidate Generation - Rating Sort - Filtering.
Core Rating Criteria
The algorithm will score each tweet, the higher the score, the higher the probability of appearing on the "For You" timeline. The main bonus and penalty items are as follows:
Bonus Items
· Engagement: Weighted heavily. If you can spark a discussion (user replies to you, you reply to the user), the algorithm will consider this very valuable. X's model will predict content that can generate likes, retweets, replies, shares, and other positive actions based on the similarity of users' historical interaction sequences.
· Dwell Time: If a user clicks on your tweet, views a long image, or stays there reading for two minutes, it indicates high-quality content.
· X Premium (Blue Checkmark/Gold Checkmark): Paying users have significant traffic weighting in the algorithm, with 2x - 4x exposure opportunities.
· Video/Image: Content with native media is easier to retain users than plain text, maintaining media diversity.
· Timeliness: Recently posted posts have an advantage because content beyond a certain age will be filtered out.
· Originality: Needless to say, non-repetitive content, maybe this is also why the Kaitos are being banned.
Penalty Items
· External Links: This is the biggest pitfall. The algorithm strongly dislikes directing users away from the X platform. Tweets with external links will be heavily discounted (unless you are a very influential account).
· Being Blocked/Blacklisted: If someone blocks or hides your tweet, this will deal a heavy blow to your Reputation Score.
· Swiped away as "Not Interested": Negative feedback weight is very high.
· Triggering Negative Signals: Need to be banned words, not positive, being reported, and so on.
Moreover, X also has a community-like concept called "SimClusters," which is the core of the X algorithm. X divides all users and tweets into 145,000+ communities. The algorithm determines which circle you belong to (e.g., Crypto Circle, AI Circle, K-pop Circle) based on who you follow and engage with. Only when your content is recognized as belonging to the "Crypto Circle" and is interacted with by core users of that circle will it break out of the circle and be recommended to more people interested in Crypto but not following you yet.
Version Answer
Let's analyze the most viewed post on X platform recently and see which recommendation points this article hit. On January 12, Dan Koe posted an article titled "How to fix your entire life in 1 day." The current view count is 160 million, a historically high-traffic piece on the Twitter platform.
Dan Koe's account itself has 770,000 followers and is a verified account, so it is not a cold start and has some natural advantages in algorithmic recommendations: posts from verified accounts are more likely to enter followers' "For You" feed, and initial views come from direct followers. Dan's previous posts have also had positive interactions, so the historical signals fed to the model are inevitably positive, indicating high interaction potential. Comparing to the bonus points mentioned above, one would find that it almost hit all the points.
· Topic + Timeliness: The topic is very inspirational. Saying you want to change your life on the Chinese New Year is definitely positive, without sensitive words. The content also includes self-improvement language. A post like this is needed to kick off the New Year.
· Retention Time: It's a long article. Although it lacks multimedia formats like images or videos, a long article can still differentiate itself from short tweets and increase retention time.
· High Interaction + Community Overflow: High interaction comes from initial followers. After achieving the effect within the community, extremely universal topics are very suitable for recommendation to non-follower users. Then, continue with high interaction to kickstart the flywheel.
How the Cryptocurrency Industry Rises on X
So, the worst way to write cryptocurrency content on X is in the form of "Bitcoin sees a big surge, check out this analysis: [Link]." It's all a minefield and won't be recommended.
In terms of format, it's best to have Threads for thread-like structure and include images, all of which are ways to increase user engagement. In terms of content, you can encourage user interactions and leverage X's community circles. For example, get a blue checkmark and comment under a core account in the circle. If you receive a reply, your account will be marked by the platform, enhancing your account's weight. Avoid behaviors like "mass following in a short time" and "tweets with a lot of tags," typical of bot behavior.
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