How to Clean Up Your X (Twitter) Feed
A calm, step-by-step guide to cleaning up your X feed with the platform's own settings: the Following tab, muted words, mute and block, "Not interested", and notification filters.
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Ideas, progress and lessons from the team building BOSLA AI.
Showing articles tagged #recommendation-algorithms · clear
A calm, step-by-step guide to cleaning up your X feed with the platform's own settings: the Following tab, muted words, mute and block, "Not interested", and notification filters.
A practical guide to LinkedIn's own feed settings: unfollow without disconnecting, "I don't want to see this", feed sort, notification settings, and short, intentional sessions.

AI can help organize digital content, but it should support your choices rather than make them for you. Learn what useful, transparent feed control should look like—and where its limits matter.

Your YouTube feed is shaped by recommendations, viewing signals and your own choices. Use this practical guide to make the experience more intentional without giving up the videos you came to watch.

BOSLA AI is building a personal digital control layer: a way to make your online feed reflect your priorities instead of leaving every choice to recommendation algorithms. Here is the idea, the mission, and what it means in practice.
Research is part of creating—but endless browsing can consume the time meant for making. Build a clearer boundary between watching and creating.

YouTube can help you learn, work, and explore. A few deliberate choices can make your feed better reflect what you came to do.

Recommendation systems help you discover relevant content, but they also decide what gets your attention first. Here is how to respond with intention.
Why does YouTube show you what it shows you? A plain-language look at what YouTube itself says about its recommendation system, what's still unknown, and how to use that to steer your feed.