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yves
Solutions · Media and entertainment

Real-time audience sentiment and editorial compliance intelligence.

Broadcast ratings measure audience size, but reveal nothing about audience sentiment, editorial compliance, or accessibility barriers. Yves processes inbound viewer and subscriber responses within ninety seconds, neutralizing coordinated campaigns and surfacing genuine audience sentiment.

Who submits here
Broadcast viewers, digital readers, and listenersDigital subscribers and paywall membersLive event and festival attendeesOn-air talent and freelance contributorsAdvertisers and commercial sponsorsEditorial, compliance, and production teams
Taxonomy

Built for this sector before your first message arrives, and adjusted in the first fortnight.

content-qualityeditorial-standardsplatform-experiencesubscription-billinglive-eventsaccessibility-captioningadvertising-experiencecomplaints-correctionscommunity-conductother
Interactive Workflow · Media and entertainment

From Anonymous Voice to Media and entertainment Operational Decision

Explore how Media and entertainment leaders and field teams move from anonymous voice or text signal to verified executive triage in real time.

REC 00:42
48kHz
Yves Voice
English

Voice & Text Anonymous Intake

Zero identity trace. Instant multi-lingual neural parsing across 100+ native dialects.

Live Transcribed Signal ZKP Sealed

0/1000 characters
Audio synced
Send anonymously
console.yves.africa/decisions
Search 1.2M records across Northgate, Eastfield, Ward 4…
LIVE TRIAGE

7 pending decisions

Northgate cluster · escalated 2h ago

SLA: 24m

Callback system overhaul

12m

240% surge in callback silence

Staff conduct at Ward 4

41m

Direct cash solicitation reported

Pharmacy weekend closure

1h

Patients traveling 40m for insulin

Billing clarity at reception

2h

Scan costs tripled without quote

14-Day Velocity Telemetry+18.4% WoW
AI Protocol Analysis

Callback system overhaul

AI Verified
Verbatim Synthesis

“Three hours waiting in silence with zero nurse updates. When asked, staff advised waiting until day-shift arrived.”

Root CauseWeekend Lab Handoff Gap
Affected Patients412 Records (240% ↑)
AI Confidence99.4% Multi-lingual
What breaks without it

Where conventional instruments fail in this sector

01

Coordinated digital campaigns mimic organic public outrage

Automated bots and brigading networks orchestrate targeted outrage spikes that overwhelm shared inboxes and mislead editorial committees.

02

Editorial complaints demand defensible compliance records

Broadcast regulators require complete audit trails of complaints and response timelines; disorganized inboxes fail regulatory compliance standards.

03

Closed captioning and accessibility failures go underreported

Subscribers requiring accessibility features encounter friction quietly, resulting in silent churn rather than formal technical complaints.

What Yves does

What is built specifically for this sector

Forensic anti-brigading and coordination filtering

Graph algorithms and semantic similarity scoring identify artificial submission campaigns, preserving genuine audience feedback for editorial teams.

Audit-ready regulatory compliance archives

Every editorial submission is timestamped, categorized, securely stored with verbatim source text, and exportable into formal regulatory filings.

Ninety-second broadcast-to-briefing velocity

Audience sentiment reaches executive and editorial producers while live broadcasts and news coverage are still in production.

Dedicated accessibility performance monitoring

Subtitling, audio description, and screen-reader accessibility metrics are benchmarked independently of general volume.

90s

from audience submission to verified, screened insight dossier in the editorial queue

“Yves filtered coordinated social brigading from authentic audience reactions during high-profile broadcast investigations, giving our editorial committee a clean, defensible evidence pack.”

Director of Standards & Audience Insight, National Public Broadcaster

Next step

Start with your own media and entertainment corpus.

We build the category model for your sector, test it against a sample of your messages, and show you the first findings before you commit.