# What is TweepCred

**Last updated 2026-10-11.** A search of [`xai-org/x-algorithm`](https://github.com/xai-org/x-algorithm) at commit [`cb45b55`](https://github.com/xai-org/x-algorithm/commit/cb45b55) finds no file, comment, or identifier named TweepCred. This page will not invent a calculator for a name that is not in the tree, and it will not copy constants from an older repository this site has not re-read.

People still use the word for “a hidden author reputation score.” The current tree has a different job, with a different name, and it is not wired into the For You sum.

## What the current code publishes instead

`user-cred-v2/` is the account-scoring job. The README’s August 13, 2026 section lists it among models that score accounts on various dimensions, next to Agatha and BDSM, in the group of systems that can feed visibility labels. The package is `com.twitter.health.platform_manipulation.user_cred_v2`.

What that job actually computes, from the Scala in that directory:

- It runs a PageRank-style iteration (`pageRankMain`) over follow edges, after dropping users who are restricted, deactivated, suspended, or erased (`ValidUserInfo.fromFlatUser`).
- Engagement edges are favorites and reposts (`InteractionType.Favorite` and `InteractionType.Retweet`) inside `EngagementWindowDays` = 7. Edges between linked accounts from the account-expansion dataset are removed.
- The teleport mix (`computeTeleportWeights`) blends two distributions with `engagement_teleport_beta`, default `0.5`. One side is uniform over accounts whose `isPremium` is true (blue, gray, gold, verified organization, or affiliate). The other side is those engagement edges, weighted by the engager’s prior mass.
- Default PageRank arguments in `UserCredV2Config.fromArgs` are jump probability `0.2`, difference threshold `0.001`, and max iterations `50`. Those are argument defaults, not a measured reputation of any account.
- `UserCredV2.fromMass` turns mass into a score: 0 when mass is ≤ 0, otherwise `165.2 + 7.07 * ln(mass)`, clamped to 0–100.

A warm start reads the previous mass snapshot no older than 7 days. If a previous mass exists for that id, `joinPreviousMass` keeps the previous mass rather than the fresh one.

## What it does not do

`home-mixer/` does not reference `UserCredV2`. `visibility-filtering/` does not either. The published For You weights in `home-mixer/params/param.rs` have no TweepCred column and no user-cred column. Premium is not a term in that sum. The premium flag above is only the uniform teleport set inside `user-cred-v2`.

So a TweepCred-style number, even under the new name, is not something this commit multiplies into a post’s For You score. The README says the job can matter to visibility labels. The code that would read `UserCredV2` from inside `visibility-filtering/` is not in this commit, so this page does not claim a specific label or a drop threshold.

SimClusters jobs mention a dataset named `entityRealGraph`. That is a graph input to embedding jobs. It is not TweepCred, and it is not a head in `compute_weighted_score`.

## If you wanted a number on a draft

A draft score and an author-reputation score are different objects. tweet-factory’s draft score uses the published action weights and is described on [How tweet-factory scores drafts](how-tweet-factory-scores-drafts.md). The browser draft score is [tweetfactory.sh/score](https://tweetfactory.sh/score/). It is not a TweepCred calculator, because the current ranker does not publish one.

## Related

- [How the X (Twitter) algorithm works](how-the-x-algorithm-works.md)
- [Twitter algorithm on GitHub](twitter-algorithm-github.md)
- [How to grow on X](x-algorithm-engagement-weights.md)

## FAQ

### What is TweepCred?

In commit cb45b55, it is a name that does not occur. The account-scoring program in that tree is `user-cred-v2`: a PageRank over follows, with a teleport that mixes premium accounts and seven days of likes and reposts, then a 0–100 score from `165.2 + 7.07 * ln(mass)`.

### Does TweepCred change the For You score?

Not under that name, and not as `UserCredV2` either. The weighted sum does not read it. `home-mixer` and `visibility-filtering` contain no reference to the type. Premium is not an organic ranking bonus in `param.rs`.

### Can I calculate my TweepCred from this repo?

No. The job needs production datasets (follows, server engagements, user snapshots) that are not in the GitHub checkout, and the For You request path does not consume the output. This site does not ship a TweepCred calculator on top of a missing input.