Issuing Organisation: WAN-IFRA WIN

Tender Period: 10 December – 31 December (3 weeks)

Project Duration: 1 January 2026 – 30 June 2026

Submission Email: farah.wael@womeninnews.org

Background

WAN-IFRA WIN is a global programme working to advance gender equality in the media sector. WIN is commissioning the development of an AI-powered Gender Balance Tracker that will analyse gender representation, portrayal, roles, and bias in media content across text, images, audio, and video, in multiple languages.

The tracker will serve as a global evidence and accountability tool for newsrooms, journalists, editors, researchers, and advocacy organisations.

Objective

The objective of this tender is to design, develop, test, and deploy a fully functional AI-powered Gender Balance Tracker that:

Analyses text, images, audio, and video
Generates a Gender Balance Score based on quantitative and qualitative gender balance indicators including sources, and main characters
Supports multilingual analysis
Includes a user-friendly web interface with personal user accounts and data storage
Is fully operational by 30 June 2026

Scope of Work

The selected service provider will be responsible for the full technical delivery of the platform, including:

A. AI & Data Processing

Integration with OpenAI, Google Gemini, or equivalent AI models
Text gender analysis using quantitative and qualitative indicators
Image and photo gender analysis using computer vision
Audio transcription and spoken-voice gender detection
Video audio-track analysis with:
- Speaking-time by gender
- Role detection (host, guest, expert)
- Screen-time and voice-time calculation
Sentiment, framing, stereotype, and bias detection
Gender-neutral language suggestions and loaded-phrase alerts

B. Gender Indicators & Outputs

The tracker must produce:

Quantitative Indicators

Women as main characters
Women as sources
Women as authors or creators
Mentions of women vs men
Women as expert vs non-expert sources

Qualitative Indicators

Role taxonomy and agency
Sentiment and framing analysis
Stereotype and bias detection
Cultural and institutional tone analysis

Final Outputs

Gender Balance Score (0–100)
Automated summary with actionable recommendations
Exportable reports

C. Multilingual Capability

The platform must support English, Arabic and Ukrainian. With language-specific datasets and aligned Gender Balance Scores.

D. Platform & User Interface

User-friendly web interface
Analysis by:
- Single link
- Batch/list of links
- Direct text input
Page and section scraping for non-paywalled websites
User registration, login, and logout
Personal user profiles
Data storage and usage logs
Admin dashboard with aggregated statistics
Report export and download functionality
Secure hosting and data protection

E. Testing & Handover

Model accuracy testing
Performance and security testing
UX testing with real users
Full system documentation
User manual and technical documentation
Final deployment and handover

Required Expertise

Bidders must demonstrate:

Proven experience in:
- Artificial Intelligence
- Natural Language Processing (NLP)
- Computer Vision
- Speech-to-Text systems
Experience integrating OpenAI, Gemini, or equivalent models
Experience with multilingual NLP
Secure backend and cloud infrastructure development
Development of media monitoring or analytics platforms is a strong advantage

Proposal Submission Requirements

Interested bidders must submit:

Technical Proposal
Financial Proposal with a detailed budget
Company Profile including portfolio of similar projects

Submission Details

Proposals must be submitted by email to:

farah.wael@womeninnews.org

Deadline: 31 December 2025

Subject Line: WIN AI Gender Balance Tracker – Technical Tender

Late submissions will not be accepted.

WAN-IFRA

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Public Tender: Development of the AI-Powered WIN Gender Balance Tracker