Spam Detekt

Users

Avg rating

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Ratings

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Updated

May 20, 2022

Media

4 items

Detecting spam messages using machine learning model. Detecting email and sms spam messages using machine learning model

rating_count is the Chrome Web Store ratings count, not a written-review count.

SEO signals

Listing completeness signals

Title length
Characters in the extension name.
11
Description length
Characters in the listing description.
121
Media assets
Screenshots and videos on the listing.
4
Has promo video
Whether the listing includes at least one video.
No
Languages
Declared language locales.
1
Developer website
Listing exposes a developer website URL.
No
Contact email
Listing exposes a contact email.
Yes
Keyword in name
Case-insensitive substring match in the name.
—
Keyword in description
Case-insensitive substring match in the description.
—
Keyword occurrences in description
Count of case-insensitive occurrences in the description.
—
Category user-count percentile
Share of same-category extensions with fewer users (null if unknown).
33.4

These are transparent listing completeness / keyword signals, not a prediction of Chrome Web Store search ranking.