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

In 2026, the X (Twitter) algorithm is becoming increasingly accurate at identifying which posts users are genuinely interested in. The number of likes should no longer be considered the primary measure of success. The recommendation system takes multiple signals into account, including the time spent reading a post (dwell time), the likelihood of replies, reposts, and other audience interactions.

The October updates to the Phoenix model were particularly important. The algorithm can now better predict how much time someone will spend viewing a post and is more actively identifying content that users read to the end. For SMM specialists, this means reconsidering traditional Twitter promotion strategies: attracting attention is no longer enough; you also need to keep it.

Let's explore how the new X algorithm works in 2026, why dwell time is becoming an important ranking signal, and which methods can help increase organic reach.

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

The X algorithm is a machine learning system that creates the personalized For You recommendation feed. Its purpose is to select posts that are most relevant to each individual user.

Unlike a standard chronological feed, For You displays not only posts from accounts a user follows but also content from unfamiliar creators. As a result, even a relatively small account can achieve significant reach if its content matches the audience's interests.

How Does the Algorithm Select Posts?

According to the official X algorithm repository on GitHub, the recommendation system uses several consecutive stages:

1. Candidate sourcing. The system collects posts from accounts the user follows and other sources, including the Phoenix and SimClusters recommendation models.
2. Interest analysis. The model considers the user's interaction history and predicts how they might respond to new posts.
3. Ranking. Each post receives a score based on the predicted likelihood of various actions and other estimated metrics.
4. Filtering. The system excludes or limits the visibility of certain posts based on platform rules and user preferences.
5. Feed generation. The user receives a personalized selection of content.

In August 2026, X expanded access to the source code of its recommendation system. As TechCrunch reported, the release covered the main ranking mechanisms, model configuration, and content visibility filters.

Key takeaway: the X algorithm evaluates not just a post's popularity but its predicted value to a specific reader. Therefore, having a large number of followers or likes does not automatically guarantee placement in recommendations.

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

Dwell time is the amount of time a user spends viewing a post. Within the X recommendation system, it helps assess interest in content not only through explicit reactions but also through reader behavior.

Consider two scenarios. The first post receives many quick likes, but users scroll past it almost immediately. The second receives fewer reactions, yet readers carefully examine the text, open the discussion, and return to the post.

The second post may provide greater value to the recommendation system in terms of attention retention. However, this does not mean it will necessarily receive a higher overall ranking: the final decision depends on a combination of signals.

What Changed in October 2026?

In October 2026, X developers announced two important changes to the Phoenix model:

• October 8: the ranking model's ability to predict how long a user would spend viewing a particular post was improved.
• October 13: the model responsible for retrieving recommended posts received additional training to identify content that users read to the end.

These changes indicate that viewing time and reading completion have become more prominent areas of development for X recommendations.

However, it is important to distinguish between predicted reading time and actual viewing time. The algorithm uses model-based estimates rather than simply adding seconds to each post's ranking score.

Furthermore, spending a long time on a post does not always indicate positive interest. A user may become distracted, leave the app open, or spend extra time trying to understand complicated text. Therefore, dwell time should be analyzed alongside other metrics.

Reading Time vs. Likes: Which Matters More for X Reach?

One of the main questions SMM specialists are asking in 2026 is whether reading time has really become more important than likes.

Short answer: X is placing greater emphasis on attention-retention signals, but publicly available data does not establish that dwell time always carries more weight than likes. The importance of each metric depends on the model, context, and predicted behavior of the individual user.

Let's compare the main engagement metrics.

It is also important to consider how ranking scores are calculated. The published X documentation explains that signal weights are applied to predicted probabilities of actions rather than directly to the number of likes, reposts, or reports.

Consequently, the popular formula suggesting that "one minute of reading equals a certain number of likes" has no confirmed universal value.

Conclusion: sustainable growth on X requires working simultaneously on content quality, attention retention, and genuine audience engagement.

How to Increase Reading Time on X Posts: 7 Practical Methods

The changes to the Twitter algorithm in 2026 make formats that retain user attention particularly relevant. However, making posts longer without a clear reason is not recommended. The goal is not to force people to read for longer but to provide useful information.

1. Start With a Strong Opening Sentence

The first few lines should immediately explain why a post is worth reading. Instead of a generic introduction, use a specific fact, problem, or intriguing question.

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

Stronger example: "Are your posts getting likes but failing to appear in X recommendations? The problem might not be the number of reactions."

The second example identifies a problem and promises a useful explanation.

2. Create Informative Threads

Threads allow you to explain complex topics step by step. Each subsequent post should add new information rather than artificially extending the story.

For example, an article about the X algorithm could be divided into five posts: ranking principles, dwell time, reactions, promotion mistakes, and a practical checklist.

3. Use a Clear Structure

Long, uninterrupted paragraphs are harder to read, especially on smartphones. Separate ideas, use short sentences, numbering, and logical transitions.

Each post should communicate one main idea. This helps readers understand the message more quickly.

4. Include Specific Examples

Generic advice rarely holds attention for long. Comparisons, short case studies, calculations, and practical instructions make content more useful.

For example, instead of saying "publish interesting posts," show two versions of a post and explain why one better meets the audience's needs.

5. Experiment With Visual Formats

Diagrams, infographics, images, and short videos help communicate information more quickly. However, visual elements should support the message rather than simply take up space in the feed.

Test different formats with your own audience. There is no universal rule stating that posts with images always rank higher than text-only posts.

6. Publish Expert Content

Analysis of updates, experiment results, and answers to professional questions can generate deeper interest than superficial posts.

Content is particularly valuable when the author provides sources, explains the methodology, and distinguishes verified facts from personal assumptions.

7. Analyze Audience Reactions

Compare posts covering similar topics but using different presentation styles. Examine views, replies, reposts, clicks, and reach trends.

If a direct dwell time metric is unavailable in your account analytics, do not replace it with invented estimates. Use available metrics as indirect indicators of interest.

Practical takeaway: effective attention retention starts with a relevant topic, clear structure, and genuine value for the reader.

What Mistakes Prevent Posts From Appearing in Twitter Recommendations?

Even publishing content regularly does not guarantee increased reach. Certain promotion methods can negatively affect how users perceive an account or lead to platform restrictions.

Clickbait Without Valuable Content

A sensational headline may attract attention, but if the text fails to answer the promised question, readers will quickly lose interest.

It is better to use curiosity supported by real information than to promise a secret method for getting millions of views.

Artificially Inflating Engagement

Automated reactions, mass posting of identical replies, and other unnatural activities cannot replace a genuinely interested audience. Moreover, certain forms of engagement manipulation may violate X's rules.

When evaluating such methods, it is important to consider not only the number of reactions received but also audience quality, the risk of restrictions, and the absence of any guaranteed impact on recommendations.

Publishing Content Without a Clear Focus

If an account constantly switches between unrelated topics, building consistent audience interest becomes more difficult. A focused content strategy helps attract people who genuinely benefit from your posts.

Ignoring Negative Signals

Blocks, hidden posts, reports, and other negative interactions also play a role in X's recommendation and safety mechanisms.

You can learn more about content filtering in the official X platform rules.

Conclusion: attempts to manipulate the algorithm cannot replace consistent work on content. Sustainable promotion requires a combination of relevance, post quality, and audience trust.

How to Measure X Promotion Performance in 2026

Evaluating promotion based on likes alone is insufficient. A comprehensive analysis should consider reach, engagement, clicks, and actual business results.

The following metrics are useful to track:

• Post views. Show the scale of content distribution but are not equivalent to the number of unique readers.
• Engagement rate. Reflects the ratio of interactions to a selected base, such as the number of impressions.
• Replies and reposts. Help identify topics that encourage discussion and sharing.
• Link clicks. Show how effectively posts generate traffic.
• Target audience growth. Helps assess whether an account is attracting interested followers.
• Conversions. Show whether activity on X leads to inquiries, registrations, and other business outcomes.

To compare posts, you can use the engagement rate formula:

Engagement Rate = (Number of Interactions / Number of Impressions) × 100%

For example, if a post receives 10,000 impressions and 300 interactions, its engagement rate is 3%. It is important to use the same calculation method for all posts being compared.

Additionally, it is recommended to tag external links with UTM parameters and analyze traffic using web analytics tools.

How to A/B Test Posts

Choose one topic and prepare two presentation formats. For example, a short statement and a detailed explanation with examples.

Publish the content under comparable conditions, record metrics at consistent intervals, and compare the results. Avoid drawing conclusions from a single post: reach is influenced by the topic, posting time, audience composition, and competition in the feed.

For a deeper understanding of how recommendations work, you can explore the X Engineering technical article about the recommendation algorithm. It describes an earlier architecture and should therefore be used as historical context rather than a complete explanation of the 2026 version.

How to Combine Quality Content With X Account Promotion

The new ranking approach does not eliminate the need to grow an audience. Even high-quality posts need initial readers, a clear topic, and consistent distribution.

An effective Twitter promotion strategy is built around three areas: creating valuable content, attracting a relevant audience, and continuously analyzing results.

To explore available tools, you can check out X (Twitter) promotion services on PRMotion. The website offers various options for working with account and post metrics.

If your goal is to expand your audience, visit the Twitter (X) followers section. However, it is important to understand that increasing follower numbers alone does not guarantee engagement or growth in organic recommendations.

For tasks related to the visibility of individual posts, you can explore the Twitter (X) views section. These metrics should be evaluated separately from actual reading time, conversions, and organic interest.

Recommendation: use promotion tools responsibly, follow platform rules, and do not substitute artificial engagement metrics for a high-quality content strategy.