HARM GROUP
Sexual Harassment & Sexualized Abuse
Sexual harassment, unwanted sexual comments, sexualization, and sexual threats.
10 Indicators in this Group
Showing 1 representativeSexual Harassment
General sexual harassment or unwanted sexual attention.
sexual_harassment
Showing 1 representative indicators of 10. The complete taxonomy is available to customers - request access.
DETECTION
How Sentiqra detects sexual harassment & sexualized abuse
Each indicator is independently scored with signal-match scores across 16 languages.
Analyze
Your text is analyzed under the pinned configuration and returned as structured signals.
Analyze
The versioned analysis configuration scores the input against the configured indicators.
Score
Signals carry signal-match scores; per-language benchmark results are published with an 85% Top-3 target.
READING THE OUTPUT
What a Trust & Safety result tells you - and what it doesn't.
Intended task
Tell your moderation pipeline which documented harm categories a piece of text matches - the policy routing decision stays with you.
Input requirements
text- the only field analyzed; up to 4,096 Unicode code points. Over the limit is rejected withinput_too_long, never truncated.language- must be a language this analyzer supports. Unsupported codes are rejected with400 unsupported_language, never analyzed as a different language.analyzers- include"trust-safety"; up to 2 analyzers per request, one billed run each.- No context beyond
text- no user IDs, history, profiles, or attachments are read or inferred. - Works on the submitted text alone - the analyzer never sees the author's account, history, or reputation.
Ordinary positive
“You are an idiot and everyone on this server hates you. Keep talking and I will post your home address.”
Safe inference: The text matched two documented harm categories. You can route it to your harassment/doxxing policy lane and cite the exact labels in a statement of reasons.
Confusing negative · Quotation
“The commenter told her "I will post your home address" - our report on doxxing in gaming forums.”
What happens: A privacy/doxxing signal can still fire. The analyzer scores the submitted text as written - quoted abuse language inside reporting or commentary can match the same documented pattern.
Why it's tricky: A signal means "this text contains language matching the documented pattern," not "the author intended harm." Whether quotation context matters is a policy decision - keep human review in the loop for reported-speech surfaces.
What you can safely infer
- Which documented indicators the text matched, and at what signal-match strength.
- That the same input on the same pinned configuration replays identically - the receipt records which configuration produced the result.
- That a category-level signal with label-level children gives you both the policy area and the specific behavior.
What you must not infer
- ✕That the author intended harm - intent is not in the text.
- ✕That quoted or reported abuse means the author endorses it.
- ✕That an empty signals list clears the content - "not detected" is never "safe."
- ✕Anything about the author's account or history - the analyzer never sees it.
All Indicators
Browse all 210 T&S indicators
T&S Features
210 indicators, 16 languages
Benchmark Results
Per-language Top-3 Hit Rate
Playground
Test detection live - no API key
Indicator Docs
Full API indicator reference
Quickstart Guide
First API call in under 5 minutes
Pricing
From Free to Enterprise
Request access5,000 analyzer runs/month · No card requiredDetect sexual harassment & sexualized abuse in real-time
Test detection of this harm group in the playground or start integrating the API.