We analyzed this app across 5 independent signals and corroborated nothing unfair. That is a signal, not an audit.
App Store
This analysis describes version 47.0.0 of the app, analyzed 2026-10-06 . The app may have changed since.
The store currently lists version 47.0.0, updated 2026-09-22.
Google Play
This analysis describes version 46.9.3 of the app (the version number recorded inside the package we inspected), analyzed 2026-10-04 . The app may have changed since.
The store currently lists version VARY, updated 2026-09-28.
What the analysis found
Positive evidence 2
Things this app does right, published at the same strengths as the catch list.
One source only — shown, not confirmed 4
A single kind of evidence. We publish these because withholding them would be the bigger distortion, and we do not treat any of them as a finding we stand behind.
What reviewers said
Verbatim excerpts from public store reviews, shown as corroborating user reports. They are not Appworthy audit evidence, and a quotation is not proof of the finding it sits under.
Aggressive ad load
why are there so many ads when watching the AI dramas its so annoying and you can't even skip it mxm.
it's so bad now it lags all the time and there are constant ads now every 2 or 3 scrolls theres a ad
entertaining when you actually get stuff you want to see and haven't already seen. idk why but I keep getting sports when every time I see a video of it i click 'not interested' and most sport related words are in my dont show me tags. I…
What this app sells
How the automated analysis works
This assessment is produced automatically. Five independent signals are read — user reviews, SDKs in the app package, the app's own on-screen text, the store listing and the store privacy disclosure — and each candidate finding is filed under the sources that support it.
No charge stands on one kind of evidence — with one published exception. A finding is either a measured fact that anyone can reproduce (an ad SDK is in the package; every subscription bills weekly; the privacy label omits a tracker we can see), or it is an interpretation — and an interpretation needs independent sources to agree before it reaches the catch list. The exception is a harm only users can see: a charge may publish from reviews alone, as “Reported by N users”, once enough reviewers raise it to clear that charge’s own published bar. That agreement rule is what replaced the human reviewer, not a model’s confidence.
There is no overall score, on purpose. A 0–99 number was published here until 2026-09-15. It was withdrawn because it discriminated too weakly to be the instrument — 44.7% of every pair of apps tied — and because a single number is a verdict where a count is an observation. What publishes instead is a row of measurements, each of which says what was counted and, where we could not look, says that instead.
Findings under One source only are real reports we do not stand behind as findings. They are shown because withholding them entirely would hide a genuine complaint, and labelled because publishing them as charges would be an accusation off a single source.
Several measurements above say “Not assessed” because no artefact we hold can answer them. A human review is what resolves those — and it can remove a favourable band as easily as add one.
Hands-on inspections are not yet open.