X's diversity filters why doesn’t your feed get spammed by 1 person or topic? diversity filters > they cap how many tweets from the an author or subject can show up > features like "author diversity" and "slop score" keep things fresh > variety=more scrolltime=more ads=more X
@theahmadosman
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Social Media Algorithm Reputation Scoring and Monetization Impact
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paying for the blue check sets your reputation score to 100 > new accounts start at -128, so you're basically toast without it then the algorithm hits you with > following-to-follower ratio adjustment > and also factors in things like your device and how old your account is
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Social Media Algorithm Reach Through Relationship Mapping
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and it's not just you, it's who interacts with you > the algorithm uses `realgraph` to model relationships > if accounts that follow and engage with you also engage with someone else, that person’s tweets may be shown to your followers it's contagious reach
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X Algorithm Downranks Content With Multiple Negative User Signals
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if a tweet is getting > mutes
> blocks
> reports
> not interested clicks
> see fewer posts like this clicks the algorithm actively downranks it – these are negative signals, and they stick (potentially DEBOOSTED FOR 3 MONTHS) X's algo: too many negative signals = invisibility -
X Algorithm Shadowban: Platform Engagement and Moderation Impact
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> stops follow-for-follow spam & fake engagement > following people is now less rewarding for everyone > limits bots & users who follow tons of people just to get attention now, let's talk about how the X algo shadowbans you
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Twitter’s Three-Stage Ranking System Uses Neural Networks
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the ranking system works in three stages > sourcing tweets, from people you follow and others you don't > scoring them using massive neural networks > mixing everything into a scrollable feed each of those steps affects how, if at all, your tweets travel
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X’s Tweet Ranking: Light and Heavy Ranker Algorithms Explained
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to show up on someone's For You page, your tweet has to go through 1. light ranker: a fast pre-filter algorithm, a `maybe` or `no` decision maker 2. heavy ranker: a deeper neural network that scores tweets using thousands of features to predict engagement likelihood
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X’s SimClusters: Interest-Based Recommendation Algorithm Explained
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X's simclusters how does X show your tweet to people who don't follow you? simclusters > it groups users into interest-based communities > then shows you posts popular in your clusters > the algo doesn't care who follows you > it cares who engages in a similar fashion to you
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X Algorithm Visibility: Trust, Reputation, and Engagement Factors
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your visibility is decided by several factors > pagerank-style trust
> reputation graphs
> live engagement scores
> content bundles
> safety filters the X's algo tracks every click, block, mute, reply, and share so, how does it all work together? -
Twitter Growth Strategy: Engagement, Relevance, and Algorithm Tactics
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in a nutshell: > reply to replies – amplifies posts
> engage a lot
> get people to visit your profile
> DON'T get blocked or muted
> tweet & reply often
> tweet relevance drops 50% every 6h
> communities posts makes it easier to link you to group audiance
> blue check mark