This paper investigates the use of computational tools and Open-Source Intelligence (OSINT) techniques for verifying online multimedia content, with a specific focus on real-world cases from the Russia-Ukraine conflict. Over a nine-month period from April to December 2022, we examine verification workflows, tools, and case studies published by \faktiskbar. Our study showcases the effectiveness of diverse resources, including AI tools, geolocation tools, internet archives, and social media monitoring platforms, in enabling journalists and fact-checkers to efficiently process and corroborate evidence, ensuring the dissemination of accurate information. This research underscores the vital role of computational tools and OSINT techniques in promoting evidence-based reporting and combatting misinformation. We also touch on the current limitations of available tools and prospects for future developments in multimedia verification.

翻译：本文研究了利用计算工具和开源情报技术验证在线多媒体内容的方法，特别聚焦于俄乌冲突的真实案例。基于2022年4月至12月九个月期间，我们分析了faktiskbar发布的验证流程、工具及案例研究。研究表明，包括人工智能工具、地理定位工具、互联网存档及社交媒体监控平台在内的多样化资源，能够有效帮助记者和事实核查人员高效处理与验证证据，确保准确信息的传播。本研究强调了计算工具与开源情报技术在促进基于证据的报道和打击虚假信息中的关键作用，同时探讨了现有工具的局限性以及多媒体验证技术的未来发展前景。