Solutions
Broadcast Compliance, Political Neutrality & Representation Monitoring
Automated, continuous monitoring of who speaks on air, for how long, and in what context - across television, radio, podcasts, and online video. AI-powered voice recognition, speaker identification, and gender classification that replaces slow, manual content audits with real-time compliance intelligence. Built in Europe for national broadcasters, media regulators, and any organisation that needs to prove political neutrality, gender balance, and diversity on screen.
Deployed for
LRT (Lithuanian National Broadcaster) · European media regulators · AVMSD Articles 6 & 9 compliance
The Problem
Traditional Compliance Monitoring Is Slow, Manual, and Incomplete
Public broadcasters and media regulators face growing pressure to guarantee equal representation, political neutrality, and trust in public communication. AVMSD Articles 6 and 9, the EU Gender Equality Strategy, ERGA guidelines, and national transposition frameworks all require data-driven accountability for who appears on screen, who speaks, and how different groups are represented.
The current approach to meeting these obligations is manual content auditing: human reviewers watching broadcast content, logging speakers, counting minutes, and compiling reports. This method is slow, expensive, limited to sample-based coverage, and structurally unable to deliver the continuous, comprehensive monitoring that modern regulatory frameworks demand.
The result is compliance reporting that describes a sample of the past rather than a live picture of the present. A political balance audit that covers two weeks of primetime cannot tell you what happened in daytime programming, weekend shows, or the other 50 weeks of the year. A gender representation report compiled from manual review cannot scale to cover every programme on every channel continuously. Repsense replaces this with automated, AI-powered monitoring that runs 24/7 across all content - not a sample, not a snapshot, but a continuous compliance picture.
20+
Enterprise spend on combating mis- and disinformation by 2028. The narrative threat is now a budget line.
— Repsense deployment standard
1,000
most-frequent voices automatically identified and labelled by name
— speaker identification engine3
business days from period close to automated compliance report delivery
— reporting SLA
Use cases
What Repsense Monitors and Measures
Political Neutrality & Party Balance
Automated tracking of political speakers by party affiliation and airtime. Every voice on air is identified, classified, and logged. Politicians, party representatives, and political commentators are tracked by name and affiliation across every programme. The platform produces continuous party balance audits: who received how much airtime, on which programmes, during which time slots. For election periods, monitoring delivers daily balance reports that can be published or submitted to regulators in near-real-time, not compiled manually after the fact.
Gender Balance & Representation
AI-based speaker diarisation classifies every voice on air as male or female and tracks cumulative airtime by gender - per programme, per channel, and across the entire broadcast schedule. For television and video, visual recognition separately tracks on-screen presence, enabling distinct analysis of screen time versus speaking time. Topic and narrative detection identifies which subjects male versus female speakers are associated with - whether women appear only on lifestyle programmes or also in political, economic, and expert contexts. The platform delivers the metrics AVMSD and ERGA frameworks require: not just whether women are present, but how they are represented.
Expert Visibility & Source Diversity
Beyond gender and political affiliation, Repsense tracks the types of speakers who appear: experts, commentators, journalists, politicians, citizens. The platform identifies whether expert commentary is concentrated among a small number of repeat voices or distributed across a diverse range of sources. For broadcasters committed to source diversity, this answers the question editorial teams struggle with: are we hearing from the same 20 people, or are we genuinely representing a range of expertise and perspective?
Narrative & Tone Analysis
Repsense analyses who speaks, what they say, and how it is framed. The platform detects topics and narratives associated with each speaker and gender, assessing whether certain groups are systematically associated with certain subjects. Tone analysis evaluates whether coverage of different groups carries different sentiment or framing. This is the layer that separates compliance monitoring from representation intelligence: beyond counting minutes: understanding context.
How it works
From raw content to brand advantage
INGEST
Repsense connects to broadcast content via live or delayed stream URLs, RSS feeds, file upload, or API integration. The platform processes a minimum of 20 hours of audiovisual content per day per channel on a continuous, automated basis. Audio-only content (radio, podcasts) is handled through the same pipeline. No deep technical integration with the monitored broadcaster is required - publicly accessible streams and feeds are sufficient for regulatory monitoring.
ANALYSE
AI-based speaker diarisation segments audio into individual speaker turns. Each voice is classified by gender. For television and video, face detection and visual recognition identify on-screen presence separately from speaking time. Up to 100 specific voices can be pre-registered by name; the top 1,000 most-frequent voices are automatically labelled. Known public figures - politicians, journalists, experts - are identified through a visual and voice recognition layer. A human-in-the-loop QA process reviews outputs regularly, flags edge cases, and feeds corrections back into the model.
IDENTIFY
Every identified speaker is logged with cumulative and per-episode airtime, gender classification, role category (expert, commentator, journalist, politician), party affiliation where applicable, and topic/narrative association. Content context analysis determines who speaks, but what they speak about and how it is framed. Voice models are continuously updated with the most recent data to maintain accuracy over long-running monitoring projects.
REPORT
Real-time dashboard accessible 24/7 with live and historical gender ratios, speaker rankings, party balance data, and cross-programme comparisons. Automated monthly compliance reports delivered within 3 business days of period close. On-demand reports for any custom time period within 3 business days. Self-service data export to XLSX, CSV, or PDF. All reports structured for AVMSD, ERGA, and national regulatory submission formats.
What the Dashboard and Reports Deliver
Metric
What It Measures
Unique speakers detected
Count of distinct male and female voices per programme and across all content
Cumulative appearances
Total number of times each unique speaker appears across all episodes and programmes
Total speaking time
Aggregate airtime in minutes for male and female speakers, segmented by programme
Speaker frequency ranking
Ranked list of speakers by total airtime and appearance count
Per-programme breakdown
Gender ratio and speaker data for each individual show or series
Screen time vs. airtime
Separate tracking of on-screen visual presence vs. active speaking time (TV/video only)
Party airtime allocation
Speaking time by political party and affiliation, per programme and across the schedule
Expert vs. commentator ratio
Breakdown of speaker roles to assess diversity of representation beyond gender
Narrative & topic association
Which topics are predominantly discussed by male vs. female speakers
Tone & sentiment by speaker group
Whether coverage of different groups carries different framing or sentiment
Evidence
Already Deployed in Europe for National Broadcast Compliance
LRT — Lithuanian National Broadcaster
Repsense is deployed with LRT, the Lithuanian National Broadcaster, for continuous gender balance and political neutrality monitoring. The platform tracks voice recognition across all LRT programming, producing gender ratio breakdowns by show, speaker identification and ranking, and reporting built for regulatory submission. The deployment demonstrated that automated monitoring delivers comprehensive coverage that manual auditing cannot match - every programme, every voice, every minute, continuously.
CSA — European Media Regulator Engagement
Repsense has engaged with European media regulators on the application of AI-powered gender monitoring to AVMSD compliance workflows. The platform’s methodology - speaker diarisation, gender classification, named speaker identification, contextual analysis, and human-in-the-loop QA — was developed specifically to meet the data requirements of regulatory monitoring at the standard AVMSD and ERGA frameworks demand.
No equivalent product exists
No media monitoring platform, no broadcast analytics tool, and no compliance software offers automated, continuous, AI-powered political neutrality and gender representation monitoring with voice recognition, speaker identification, and reporting built for regulatory submission. Manual auditing firms offer sample-based reviews. Broadcast analytics companies offer viewership data. Neither delivers what Repsense delivers: comprehensive, continuous compliance intelligence that runs autonomously across the full broadcast schedule.
Integration Options
Three Ways to Deploy
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Secure login access to the Repsense web dashboard. Automated monthly reports delivered by email. Self-service export for ad hoc analysis. No technical requirements beyond a web browser. The fastest route to go live and the model used by most regulatory clients.
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REST API access to all monitoring data. Query by channel, date range, speaker, or metric. Structured JSON output compatible with standard BI tools (Power BI, Tableau). Webhook support for real-time data push. Suited to organisations with existing data infrastructure who want to pull Repsense data programmatically alongside other sources.
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Scheduled delivery of structured data files (XLSX, CSV, PDF) to a shared workspace or via email. Custom report templates aligned with internal or regulatory reporting formats. Bespoke data extracts on request. Options can be combined.
Why repsense
What Sets This Apart
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Manual auditing covers a sample. Repsense monitors every programme, every day, every voice. The compliance picture is complete, not extrapolated from a two-week window.
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The platform identifies who is speaking by analysing the audio itself — speaker diarisation, gender classification, and named speaker identification. Not relying on programme credits, subtitles, or manual logging.
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For television, visual recognition tracks on-screen presence independently from speaking time. An interviewee can appear on screen for 10 minutes and speak for 2. Repsense measures both.
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Narrative and topic analysis identifies what speakers discuss, not just how long they talk. Gender and political balance measured in context — are women appearing as experts or only as lifestyle presenters?
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Reports structured for AVMSD, ERGA, and national regulatory submission formats. Automated delivery within 3 business days of period close. No manual compilation required.
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Every deployment includes professional review by a fluent speaker of the monitored language. Edge cases flagged, corrections fed back into the model. AI speed with human accuracy.
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European data sovereignty, GDPR-compliant data handling. Built for EU regulatory environments from the ground up.
See Continuous Compliance Monitoring in Action
Request a compliance assessment to see how Repsense delivers political neutrality, gender balance, and representation monitoring - automated, continuous, and built for compliance - for your broadcast schedule or regulatory remit.