Is your YouTube, Instagram and Threads algorithm doing a bad job recommending you?

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The algorithms of YouTube, Instagram and Threads in 2025 aim to personalize recommendations based on user behaviors and preferences. However, simply consuming content that you like may not be enough to train these platforms effectively. It is necessary to actively interact with the content, liking and sharing posts that you enjoy, in addition to using options such as "dislike" or "not interested" to avoid unwanted recommendations. This approach helps algorithms identify more accurate patterns about your interests and adjust the timeline more in line with your expectations.

Each platform has specific criteria that influence recommendations. On YouTube, for example, metrics such as watch time, clicks and direct feedback shape suggestions. On Instagram, factors such as watch time, likes and shares determine reach. On Threads, the focus is on the quality of interactions and the relevance of content to promote meaningful conversations.

How to improve recommendations on YouTube, Instagram and Threads
Strategies to train social media algorithms
Why just watching isn't enough to personalize your timeline
How interacting with content affects your recommendations
Differences between the algorithms of YouTube, Instagram and Threads
Practical tips to adjust suggestions on social media
The importance of active engagement on digital platforms

Keywords: #algorithm #interaction #recommendations

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