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omg3lolz@omg3lolz
Σοκ και δέος. Τα νερά του Πηνειού στο σημείο του δυστυχήματος στα Τέμπη. Η μία τραγωδία συναντά την άλλη. #Λαρισα #πλημμυρες #Τεμπη #καρδιτσα #κακοκαιρια
Ελληνικά
Zaffy 🖖
12.8K posts
Zaffy 🖖
@theZaffy
proud owner of purring tribbles
Athens - Greece Katılım Eylül 2013
204 Takip Edilen336 Takipçiler
Εξαιρετικός ο ποδοσφαιρικός λαός των ΗΠΑ, εξαιρετική επιλογή το να γίνει Μουντιάλ εκεί, όλη τους η ζωή είναι το ποδόσφαιρο.
B/R Football@brfootball
We got New Yorkers to guess Championship teams from their badges, following West Ham's relegation to the second division 😅
Ελληνικά
@johnpappas1976 περιεργο, εδω βλεπω εχει πεσει πολυ και η κινηση στο Χ... τελος παντων, μαλλον με βλεπω να το σταματαω νωρις και φετος, περσι απο οργη για το δουλεμα φετος απο βαρεμαρα (το δουλεμα παντως παραμενει)
Ελληνικά
@johnpappas1976 δηλαδη αυτο φετος κανει νουμερα? σοβαρα? Για φαντασου...
Ελληνικά
@zelico_13 @EuroLeague οκ δεν μπορει... κατανοητο, τι να κανουμε, ειναι λιγος απεναντι στο κατεστημενο, συμβαινει. Αλλα αυτο που συνεχιζει να παρλαρει ενω δεν εχει τιποτε να πει, φτανει καλε, φτανει, μπαστα!
Ελληνικά
Άσε το Instagram κ τις ισπανικές μαλακίες, βγες μπροστά ως πρόεδρος κ μη κρύβεσαι πίσω από τους υπαλλήλους σου κ ξεβολεψου απο το Σούνιο κ φτιάξε συμμαχίες με όσους κ σε αυτο το f4 ένιωσαν τη βρωμιά της @EuroLeague
Ελληνικά
Zaffy 🖖 retweetledi
Israel killed 9 paramedics in roughly 72 hours.
Let that sink in.
These are some of their faces.
According to Lebanon’s latest health sector figures, now updated after the killing of additional paramedics in the last 48 hours:
• 125 healthcare workers killed
• 273 wounded
• 149 attacks on the healthcare sector
• 142 ambulances targeted
• 32 medical centres destroyed
• 16 hospitals forced out of service
• 221 ambulance crews attacked
Lebanon’s emergency sector is not collapsing accidentally.
It is being systematically dismantled.
Israel is committing war crimes against Lebanon’s medical services.
English
@RnaudBertrand @Frances_Coppola So this algorithm update is to blane for now seeing every post of accounts you have blocked or muted. Nice. Not.
English
So I spent some time studying the new Twitter/X algorithm today since the latest version was published about a week ago on Github (#updates--may-15th-2026" target="_blank" rel="nofollow noopener">github.com/xai-org/x-algo…).
My goal was to answer why so many people have seemingly seen such a dramatic drop in their posts' reach.
The first answer, which is actually somewhat unrelated to the ranking algorithm on Github, is the auto-translate feature, rolled out worldwide on April 7, 2026 (x.com/nikitabier/sta…).
Before that date, if you wrote in English about, say, the Trump-Xi Beijing summit, you were competing for attention with maybe 5,000 other English-language accounts writing on geopolitics.
After that date, your post is competing for attention with other posts on the same topic IN EVERY LANGUAGE ON EARTH. For some topics that do command global attention like geopolitics, that's a very brutal multiplier: you used to be one of 5,000, you're suddenly one of 50,000 (something of that order): MUCH more difficult to stand out.
Secondly, the number of followers you have matters far less than it used to: each post now has to earn its audience reader by reader, on the predicted engagement of the post, and how its topic matches what each reader has recently been engaging with.
Here is how the algorithm works, in simple terms: when you, as a reader, open your feed, the algorithm doesn't load "posts from accounts you follow." Instead it runs a 2-stage prediction of what posts you're likely to engage with in that very moment.
The first stage is the retrieval stage. The system narrows billions of posts on X/Twitter that day down to roughly 1,500 candidates by matching the semantic content of each post - what it's about - against what you as a reader have recently engaged with. Some candidate posts come from accounts you follow; others are pulled from across the platform by pure topic similarity to your recent interests.
You can test this retrieval stage easily: start disproportionally engaging with - say - Brad Pitt videos and you'll bit by bit see your timeline flooded with Brad Pitt content, most of it from accounts you've never followed and never heard of.
Then there's the ranking stage. Each of these candidate posts for your feed is fed through a Grok-based model that tries to understand if you'll engage with the post.
It looks at 15 engagement metrics:
1) P(favorite) — the reader likes the post
2) P(reply) — the reader replies to it
3) P(repost) — the reader reposts it
4) P(quote) — the reader quote-tweets it
5) P(click) — the reader clicks a link in it
6) P(profile_click) — the reader taps through to your profile
7) P(video_view) — the reader watches the video
8) P(photo_expand) — the reader expands an image
9) P(share) — the reader shares it (DM, off-platform, etc.)
10) P(dwell) — the reader stops scrolling and lingers on the post
11) P(follow_author) — the reader follows you after seeing it
12) P(not_interested) — the reader marks "not interested"
13) P(block_author) — the reader blocks you
14) P(mute_author) — the reader mutes you
15) P(report) — the reader reports the post
Fifteen predicted actions, each multiplied by a weight, summed: that sum is the score that determines in which priority a post will be seen among other candidates.
Please note that posting something with a video or an image can give your post an advantage as 2 actions are specifically for these: video_view and photo_expand. No video or photo and you don't get a score for these. Also, naturally, having a video maximizes the chance that a user will "dwell" on your post to watch it.
Also note that 4 of these actions carry negative weights (not_interested, block_author, mute_author and report): meaning that if the model expects a post to generate a lot of negativity, it'll get de-boosted quite dramatically.
But note, first and foremost, what's NOT in there: none of the things that, naively, one might think a serious information platform would weigh. There is no P(this post is true and well-sourced). No P(the author actually knows what they're talking about). No P(this person has spent a decade building a body of work that has held up). No P(this account has earned the right to be taken seriously on this topic). No P(the author has a large following from credible people). The model does not seem to care - at all - about any of that.
Every post starts from zero. You could have ten years of rigorous, well-sourced analysis behind you - or you could be just an uneducated rando who registered yesterday. To this algorithm, you're both just a bag of engagement probabilities.
Now, sure, to be fair, there is a "brand" effect that's not covered by the algorithm: someone who has in fact built a brand will naturally have better engagement metrics because people recognize their account. But that's an indirect, second-order effect. And crucially, it's legacy: those "brands" were built under earlier versions of the algorithm that gave followers and reputation more weight.
Lastly, several other features of the new algorithm compound the dilution, none of them visible from outside but all consequential.
The May 15 update added an "impression bloom filter," tightening the rule that once a reader has been served a post, the system won't serve it to them again. Before, a strong post could marinate in someone's feed across multiple refreshes and accumulate engagement on the second or third pass. Now it basically gets one shot.
Also, your own posts compete with each other. An "Author Diversity Scorer" inside the ranking stage attenuates the score of every subsequent post of yours that ends up in a reader's candidate pool. In plain terms: if multiple of your posts land in a reader's candidate pool, the system shows one at full strength and dampens the others. So don't post several times consecutively on the same topic.
And, last but not least, another huge impact on reach is that, in the old algorithm, when someone reposted or quote-tweeted you, your post was broadcast to their followers' timelines - a repost from an account with 100,000 followers was a huge boost.
In the new algorithm, that mechanism is vastly demoted: reposts - like every post - need to go through the retrieval and ranking stage mentioned above, so a repost from a big account is a long way from the boost it used to be.
This is especially brutal for low-effort quote tweets, which used to function as cheap amplification: now they often can't even clear the retrieval stage - they simply don't contain enough novel semantic content for the system to match them to anyone's interests.
So, putting it all together, the reach collapse comes from many forces stacking at once:
- Auto-translate makes your posts compete for attention against an order of magnitude more content
- The retrieval stage matches posts by topic, not by who follows you
- The ranking stage scores purely on predicted engagement with no weight for credibility, expertise, or track record
- The bloom filter narrows every post's window to one strong shot
- The diversity scorer penalizes prolific posting
- Reposts no longer carry much distribution power
Each of these alone would dent your reach. Combined, they amount to a complete reset: your audience that you built painstakingly over years basically doesn't matter much anymore, and it's much - much - harder to stand out even if you're a big account.
People structurally rewarded by this algorithm are folks who:
- Post visually (videos/images)
- Post on globally popular topics because they clear the retrieval stage easily
- Provoke strong emotional reactions - likes, replies, reposts
- Don't care about accuracy or seriousness because the algorithm doesn't measure it
- Don't care about their existing audience because every post is judged in isolation anyway
In short this new algorithm, like so many on social media, is all about maximizing whether people will engage with something - not about whether they should.
English
@__Moxa__ Παικταρας ο Ντενις. Λοιπον, κανονιστε να παρετε το Τσ.Λ. απο τους Καταριανους! Οι μικρες χαρες της ζωης εναντια σε -αντε-να-μην πω τι νιωθω για τη χωρα που σκοτωσε χιλιαδες εργατες για το κ0λομουντιαλ.
Θα μου πεις εσας σας εχει Αμερικανος...αλλα τουλαχιστον εχετε και μια ιστορια!
Ελληνικά
@theZaffy Γενικά το κλίμα στην Ελλάδα ναι.
Εγώ πρώτα ήμουν Άρσεναλ και μετά έγινα κι Άρης, με θυμάμαι με παράνομο supersport που είχε όλη η πολυκατοικία να βλέπω σε μια μικρή οθόνη από 8-9 χρονών που ήταν ομαδάρα η Άρσεναλ τότε και για αυτό έγινα λόγω Μπεργκαμπ.
Ελληνικά
@u9t22RYkqHNgYin @norovits Εχουν υλικο? γιατι για μενα εχει ξεχυλωσει πολυ λογω του καθημερινου.. Πλεον το βλεπω On demand και πεφτει πολυ fast forward.. Ισως μια 2η σαιζον 1-2 φορες την εβδομαδα μονο?
Ελληνικά
@theZaffy Προς το παρόν ως φίλος του Άρη νιώθω πιο άδειος κι από όταν ήμασταν Γ' Εθνική αλήθεια σου λέω.
Λίγο το ιδιοκτησιακό, λίγο το ότι δεν υπάρχει ελπίδα, σε σβήνει σιγά σιγά, καταλαβαίνεις γιατί υπάρχει και λίγο στον Παναθηναϊκό αυτό.
Τέλος πάντων, αυτά για τώρα
Ελληνικά
@__Moxa__ 1. ιναι πολυ γλυκο που εχεις χαρει τοσο! Εγω ποτε δεν παθιαστηκα ιδιαιτερα με την ομαδα μου, παρολο που την αγαπω πολυ. Περισσοτερο ενοχλουμαι απο την αδικια παρα τρελλαινομαι με τις επιτυχιες. Ισως οτι ο κοσμος παει απο το κακο στο χειροτερο με κανει να μη δινω πολυ σημασια πια.
Ελληνικά
Imagine if, in 1941, as we were fighting for our lives against the German menace, a boatload of foreign narcissists rocked up at Dover to make fun of us.
Worse, imagine these self-regarding seafarers cheered on our enemies. Imagine they waltzed up to the nearest soldier or copper and barked 'Victory to Germany!' while sporting the smuggest smirk you have ever seen.
We'd be annoyed, right? More than annoyed: there would be national fury. Every paper in the land would denounce the preening aliens. Lines of boys in blue would have to hold back angry Brits yelling 'Let me at 'em!'.
Well, now you know how the good people of Israel must feel after yet another armada of cranks sailed their way to remonstrate with their soldiers and tell them how demonic they are.
✍️ Brendan O’Neill
Article | spectator.com/article/ben-gv…
English
@kotsgreen Και να μπλοκαρεις, το Χ θα στα δειχνει, εδω και κανα 2 εβδομαδες δειχνει τα παντα ειτε εχεις μπλοκαρει ειτε οχι...
Ελληνικά
@simply_greens To προβλημα ειναι οτι ολοι οι προπονητες εχουν ασυμβατοτητα με τη διοικηση/ιδιοκτησια
Ελληνικά
@gastone85 Ο κοουτς την ομαδα τη σεβεται? γιατι εμενα μου δειχνει οτι θεωρει οτι ειναι υπερανω. Και οι εμμονες του μας στοιχισαν το Φ4...
Ελληνικά
Εξακολουθώ να πιστεύω ότι ο κύκλος του coach Αταμάν πρέπει να κλείσει φέτος.
Είναι όμως θέμα σεβασμού, προς τον άνθρωπο που μας έφερε στην κορυφή μετά από 3 μαύρα χρόνια και 13 συνολικά, να του επιτρέψεις να τελειώσει την σεζόν στον πάγκο.
Μετά κάνεις αυτό που πρέπει ✍️
#paobc
Ελληνικά