The New X (Twitter) Algorithm in 2026: Why Reading Time Is Becoming More Important Than Likes

In 2026, the X (Twitter) algorithm became more accurate at evaluating not only user reactions but also the time people spend reading posts. Updates to the recommendation system in October confirmed that the platform improved its ability to predict how long users would view posts and identify content they would read to completion. For creators, this signals an important shift: likes alone are no longer enough for effective promotion.

However, claiming that reading time has completely replaced likes would be incorrect. X uses multiple signals simultaneously. Let's explore how the new Twitter algorithm works, why dwell time is becoming increasingly important, and which methods can help increase organic reach.

How Does the X (Twitter) Algorithm Work in 2026?

The X algorithm in 2026 is a personalized recommendation system that selects posts based on each user's interests and behavior. It analyzes content interactions, predicts the likelihood of various actions, and builds the For You feed.

According to the official X algorithm repository on GitHub, recommendations combine posts from two main sources:

• In-Network: posts from accounts the user follows.
• Out-of-Network: posts from other creators that potentially match the user's interests.

After selecting candidate posts, the Phoenix model predicts the likelihood of interactions with each post. The system then calculates a relevance score, applies additional ranking rules, and uses visibility filters.

What Changed in October 2026?

In October, X developers released two important updates to the recommendation system:

• October 8, 2026. The Phoenix model became more accurate at predicting how much time a user would spend viewing a particular post.
• October 13, 2026. The Phoenix retrieval system received training designed to identify posts that users are likely to read to completion.

These changes confirm the growing importance of reading time and content completion. However, the developers did not claim that dwell time had become the only or most significant ranking factor.

For SMM specialists, the main takeaway is this: the algorithm attempts to predict not just the likelihood of a reaction but also the user's broader interest in a post's content.

What Is Dwell Time on Twitter, and Why Does It Matter?

Dwell time on X (Twitter) refers to the amount of time a user spends viewing a particular post. This metric helps evaluate attention to content even when someone does not like, comment on, or repost it.

Consider two posts:

• Post A: received 150 likes, but most users quickly scrolled past it.
• Post B: received 60 likes, but users carefully read the text, examined the examples, and explored the discussion.

The second post could potentially demonstrate stronger attention signals despite having fewer likes. However, this does not guarantee a higher position in recommendations, as the final ranking depends on multiple factors.

How Is Reading Time Different From Views?

A view indicates that a post was displayed according to the platform's counting rules. Dwell time measures how long someone pays attention to it. Content completion helps assess how thoroughly a user has consumed the material.

These metrics are not interchangeable. A large number of views does not necessarily mean that a post captured the audience's interest.

Reading Time vs. Likes: What Influences Reach on X?

Reading time, likes, replies, and reposts all contribute to evaluating user interest in posts. However, their influence depends on the recommendation model's predictions, individual audience preferences, and the algorithm's current configuration.

An important technical detail: signal weights in the X algorithm are applied to predicted probabilities of user actions, rather than directly to the number of likes or reposts.

Therefore, it would be incorrect to claim that a certain number of seconds spent reading automatically equals several likes. There is no universal formula that applies to every account.

As explained in the official X documentation on For You recommendations, the platform considers various signals, including interests, follows, and previous user interactions.

How to Increase Reading Time on X: 7 Practical Recommendations

To increase reading time on Twitter, you need to create posts that quickly capture attention and maintain it through valuable content. Simply making posts longer does not guarantee better results.

1. Start With a Strong Opening Sentence

The first lines should immediately explain why someone should read your post. Use a specific outcome, an unexpected observation, or a relevant problem.

Weak opening: "Today, we're going to talk about social media promotion."

Stronger alternative: "Your post received 10,000 views but brought in no new followers? Here are three possible reasons."

2. Use Specific Details Instead of General Statements

Numbers, examples, mini case studies, and step-by-step instructions make posts more informative. If you use statistics, include their source and the period covered by the research.

3. Make Long Posts Easy to Read

Divide your content into meaningful sections. Use short sentences, logical transitions, and a clear sequence of arguments.

The goal is not to force users to read longer but to help them gain maximum value from the content.

4. Publish Threads With a Clear Structure

Threads work well for tutorials, analysis, and explanations of complex topics. Each subsequent post should add something new rather than repeat previous information.

However, a thread does not automatically guarantee greater reach. Check whether your audience actually continues reading.

5. Use Images and Infographics

Charts, comparison diagrams, and screenshots can help users understand information more effectively. Visual materials are especially useful when they complement the text rather than simply decorate the post.

6. Encourage Meaningful Discussions

Ask questions related to the topic of your post. Invite your audience to share their experiences or evaluate a specific situation.

Avoid artificial requests for engagement simply to increase reaction counts. The quality of a discussion matters more than the number of comments alone.

7. Analyze Post Performance

Compare reach, reactions, profile visits, and follower growth. Where relevant data is available, consider retention and viewing metrics.

Not all internal algorithm signals are accessible to creators through analytics. Therefore, use available metrics as indirect indicators of performance rather than an exact representation of Phoenix's ranking scores.

How to Promote an X (Twitter) Account in 2026

Effective promotion on X combines high-quality content, consistent posting, audience analysis, and the smart use of marketing tools. New ranking mechanisms make the ability to hold users' attention particularly important.

We recommend following this strategy:

1. Define your account's focus. Choose several topics that interest your target audience.
2. Create valuable posts. Share tutorials, observations, research, and practical advice.
3. Test different formats. Compare short posts, threads, images, and videos.
4. Build a community. Respond to comments and participate in relevant discussions.
5. Measure real results. Track not only views but also clicks, engagement, and growth in an interested audience.

How Can PRMotion Help With Twitter Promotion?

Organic growth requires time and consistent effort. Additional SMM tools can be used as part of a comprehensive promotion strategy, but they cannot replace quality content and genuine audience interest.

PRMotion offers tools for managing various X account metrics:

• X (Twitter) Promotion — a catalog of available services for accounts and posts.
• Twitter Followers — solutions for increasing an account's follower count.
• Twitter Views — tools for managing post view metrics.

Important: increasing numerical metrics alone does not guarantee higher dwell time, placement in recommendations, or the acquisition of interested followers. Before using any tools, you should consider X's platform rules.