Content Moderation & Trust and Safety Services

Human moderation across text, image, video and audio with severity-tiered policy enforcement, appeals and escalation in 30+ languages.

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What Is Content Moderation?

Content moderation reviews user-generated content against written policy and applies proportionate action. Automation handles confident volume; people handle the uncertain middle, context, novel patterns and appeals.

For classifier data use Text & NLP Annotation Services. For model-output safety evaluation use LLM & RLHF Annotation Services.

Content Moderation Services We Deliver

Text and Comment Moderation

Policy-led decisions with severity, context and escalation recorded.

Image Moderation

Policy-led decisions with severity, context and escalation recorded.

Video Moderation

Policy-led decisions with severity, context and escalation recorded.

Audio Moderation

Policy-led decisions with severity, context and escalation recorded.

Profile and Identity Review

Policy-led decisions with severity, context and escalation recorded.

Marketplace and Listing Moderation

Policy-led decisions with severity, context and escalation recorded.

Spam, Scam and Fraud Detection

Policy-led decisions with severity, context and escalation recorded.

Brand Safety and Ad Review

Policy-led decisions with severity, context and escalation recorded.

Appeals and Escalation Review

Policy-led decisions with severity, context and escalation recorded.

Policy Taxonomy Design

Policy-led decisions with severity, context and escalation recorded.

Multilingual Content Moderation

Policy-led decisions with severity, context and escalation recorded.

Binary Safe or Unsafe Is Not a Policy

A working taxonomy includes category definitions, severity tiers, action mapping, confidence handling, context modifiers, repeat-behaviour rules and jurisdictional annexes. It is stress-tested on real samples before launch.

How We Protect the People Doing This Work

Exposure limits, queue rotation, proactive confidential clinical support, exposure-reducing tools, a right to step away, informed consent, peer debriefs and trained supervisors are built into the operation.

Where Humans Belong in a Moderation Stack

People review the classifier decision boundary, context-dependent speech, novel harm patterns and appeals. Moderator decisions can improve automation over time.

How We Set Up a Moderation Operation

  1. Policy and volume review
  2. Taxonomy and action mapping
  3. Safeguarded queue design
  4. Moderator selection and training
  5. Calibration and pilot
  6. Production operation
  7. Policy iteration

How Moderation Quality Is Measured

False positives and false negatives are separated, with per-category precision and recall, borderline agreement, appeal overturn rate, hidden gold cases, senior adjudication and severity-based SLA latency.

Moderation Needs Local Context, Not Just Translation

Native reviewers cover 30+ global languages with comprehensive depth across Indian regional languages, code-mixed text, dialect and regional context.

Appeals and Escalation

Independent second review, captured reasoning, named escalation paths, overturn analysis and transparency-ready records.

Work We Decline

eQOURSE does not accept CSAM review or classification, extremist content review at scale, unsafe queue configurations, moderation without written policy or sole authority for legally consequential outcomes.

Integration, Security and Coverage

Work runs in client or managed tooling with role-based access, audited decisions, ISO-certified processes and business-hours, extended-hours or 24/7 coverage.

Related Services and Proof

Image Annotation Video Annotation AI Model Testing Case studies Client testimonials

Frequently Asked Questions About Content Moderation

What is content moderation?

Content moderation reviews user-generated content against platform policy and decides whether to leave, restrict, remove or escalate it.

What types of content can eQOURSE moderate?

Text, images, video, audio, profiles, listings, advertising creative, spam, scam and fraud across 30+ languages.

What is the difference between content moderation and building a moderation model?

Training a classifier is a finite annotation project. Running a live policy queue is an ongoing operation with coverage, latency and escalation commitments.

Why are human moderators needed?

People handle uncertain, context-dependent, novel and appealed cases while automation handles confident high-volume decisions.

How do you protect moderator wellbeing?

Safeguards include exposure limits, queue rotation, proactive confidential clinical support, exposure-reducing tools, informed consent and the right to step away.

How is moderation quality measured?

False positives and false negatives are separated, with per-category precision and recall, borderline agreement, appeal overturn rate, hidden gold cases and SLA latency.

What is a severity tier?

Severity tiers distinguish intensity within a policy category and map each category-tier pair to a proportionate action.

Do you handle child sexual abuse material?

No. eQOURSE does not accept CSAM review or classification work. Specialist legally structured organisations and relevant authorities must handle it.

Can you moderate in languages other than English?

Yes. Native-language moderation is available across 30+ global languages with India-wide regional-language, dialect and code-mixed depth.

Can you provide 24/7 coverage?

Yes. Coverage can be designed for business hours, extended hours or 24/7 operations with severity-based latency targets.

Can you help write a content policy?

Yes. We design and stress-test categories, severity tiers, action mapping, context modifiers and worked examples.

How much does content moderation cost?

Cost depends on volume, content type, complexity, severity, coverage, latency, languages, appeals, policy maturity and security.

Build a Moderation Operation That Holds Up

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