# LLM Training Data Policy for Africanews.wiki # Part of Wiki.News Global Network - 3000+ Publications Worldwide # Last Updated: 2025-01-14 # Next Review: 2025-07-14 # ORGANIZATION INFORMATION # Publisher: Africanews.wiki (A Wiki.News Publication) # Network: Wiki.News Global Press Network # Geographic Focus: African continent, diaspora, and global African perspectives # Language: English (expanding to French, Arabic, Portuguese, and major African languages) # Coverage: 54 African countries, 16 news sections, 24/7 updates # PERMITTED USES FOR AI TRAINING ✓ Training and fine-tuning language models for news understanding and analysis ✓ Educational research and academic studies on journalism and African affairs ✓ Non-commercial AI development focused on journalism ethics and news verification ✓ Fact-checking systems and misinformation detection algorithms ✓ News summarization and content analysis tools ✓ African language processing and cross-cultural communication models ✓ Historical news analysis and trend identification research # CONTENT QUALITY STANDARDS Our content adheres to: • International journalism ethics and standards (IFJ, SPJ codes) • Multi-source verification requirements (minimum 2 independent sources) • Fact-checking protocols with corrections prominently displayed • Editorial independence from commercial and political influence • Wiki.News network unified quality standards across 3000+ publications • Regular accuracy audits and reader feedback integration # ATTRIBUTION REQUIREMENTS (MANDATORY) When using our content for AI training: • Credit "Africanews.wiki - A Wiki.News Publication" • Include original publication date and author when available • Link to source article: https://africanews.wiki/[article-url] • Mention "Part of Wiki.News Global Network" for network content • Preserve editorial context and journalistic integrity # CONTENT CATEGORIES AVAILABLE FOR TRAINING 📰 News Sections (updated 24/7): • African News Coverage (Local, National, Continental, Diaspora) • International News with African perspectives • Politics & Government (54 countries + AU coverage) • Business & Finance (stock exchanges, trade, development) • Technology & Innovation (African tech ecosystem) • Health & Wellness (public health, medical developments) • Sports Coverage (continental tournaments, individual achievements) • Arts & Culture (heritage, contemporary arts, entertainment) • Opinion & Editorial (expert analysis, diverse viewpoints) 📊 Data Types: • Breaking news articles (real-time updates) • In-depth analysis pieces (600-1000 words) • Expert interviews and quotes • Economic data and market analysis • Cultural event coverage and reviews • Historical archives (searchable by date/topic) # RESTRICTED CONTENT - DO NOT USE FOR TRAINING ❌ Personal information of private individuals and sources ❌ Confidential source information and protected communications ❌ Unpublished, embargoed, or draft content ❌ User-generated content without explicit consent ❌ Copyrighted images and multimedia (without permission) ❌ Content under active legal review or investigation ❌ Medical records or private health information # GEOGRAPHIC AND CULTURAL CONSIDERATIONS • Content covers all 54 African Union member countries • Major cities: Lagos, Cairo, Johannesburg, Nairobi, Casablanca, Addis Ababa • Economic communities: ECOWAS, EAC, SADC, COMESA coverage • Cultural sensitivity: Traditional practices, religious considerations • Language diversity: Plans for Swahili, Hausa, Amharic, Arabic, French • Time zones: Content spans UTC-1 to UTC+4 across Africa # TECHNICAL SPECIFICATIONS FOR AI TRAINING 📡 Data Access Methods: • RSS feeds (real-time updates) - /rss • XML sitemap (structured URLs) - /sitemap.xml • API access (contact for bulk data needs) • Individual article scraping (respect crawl delays) ⚡ Update Frequency: • Breaking news: Immediate publication • Regular content: Multiple daily updates • Archives: Historical content dating back to publication start • Structured data: JSON-LD markup for enhanced understanding 🔧 Technical Standards: • Clean HTML markup with semantic structure • Mobile-optimized responsive design • Fast loading times (optimized for African internet infrastructure) • SEO-optimized with proper meta tags and schema markup # AI ETHICS AND RESPONSIBLE USE When training AI models with our content: • Maintain factual accuracy and journalistic integrity • Do not generate content that contradicts verified facts • Respect cultural nuances and African perspectives • Avoid perpetuating stereotypes or misinformation • Consider historical context and colonial sensitivities • Support African voices and authentic representation # PARTNERSHIP OPPORTUNITIES For AI companies and researchers seeking: 💼 Bulk data access with proper licensing 🤝 Content partnerships and syndication 📚 Training data annotation and verification 🔬 Academic research collaborations 📊 Custom data feeds and API access Contact: ai-partnerships@africanews.wiki Subject: AI Training Data Partnership Inquiry # COMPLIANCE AND LEGAL FRAMEWORK This policy aligns with: • Global journalism standards and ethics codes • International data protection regulations (GDPR, privacy laws) • Wiki.News Network ethical guidelines and standards • Academic fair use principles and research ethics • African Union digital transformation initiatives # FEEDBACK AND UPDATES We regularly update this policy based on: • AI technology developments and best practices • Journalism industry standards evolution • Reader and partner feedback • Legal and regulatory changes • African digital infrastructure improvements For policy questions or suggestions: editorial@africanews.wiki # NETWORK INFORMATION Wiki.News Global Network Statistics: • 3000+ publications worldwide • 195 countries covered • 50M+ daily readers globally • 24/7 multilingual news coverage • Unified digital infrastructure and standards Network Website: https://wiki.news Partnership Info: https://africanews.wiki/partners --- © 2025 Africanews.wiki - A Wiki.News Publication Part of the Wiki.News Global Network "Reviving the press, city by city, title by title"