Overview
Detects inflammatory keywords in text input with a Grammarly-like experience.
ሰው helps detect potentially inflammatory or hate-related terms while users type in web text fields. It uses a curated lexicon based on CIR’s inflammatory keyword research for Ethiopia-focused online language contexts (including English, Amharic, Afaan Oromo, and Tigrigna terms). When a flagged term appears, the extension highlights it and provides a short reason so users can revise wording before posting. Key features: - Real-time detection while typing - On-page visual highlights and threat summary - Per-site enable/disable controls - Local history and page-level stats - Optional “Suggest a Term” form for missing entries Privacy: - Text analysis is performed locally in the browser - Typed page content is not sent to our backend for analysis - Only data entered in the optional Suggest form is sent when the user submits it
Details
- Version2.0
- UpdatedMarch 6, 2026
- Offered byDRSE.G
- Size105KiB
- LanguagesEnglish
- Developer
Email
drsegdirsha@gmail.com - Non-traderThis developer has not identified itself as a trader. For consumers in the European Union, please note that consumer rights do not apply to contracts between you and this developer.
Privacy
ሰው has disclosed the following information regarding the collection and usage of your data. More detailed information can be found in the developer's privacy policy.
ሰው handles the following:
This developer declares that your data is
- Not being sold to third parties, outside of the approved use cases
- Not being used or transferred for purposes that are unrelated to the item's core functionality
- Not being used or transferred to determine creditworthiness or for lending purposes
