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Manual collection and analysis of large volumes of news articles from diverse sources proved inefficient and error-prone. Researchers struggled to consistently evaluate media bias, reliability, and geopolitical context in conflict zones, leading to time-intensive processes that hindered timely insights and evidence-based decision-making.
University-based organization focused on conflict analysis, dialogue mediation, and Track Two Diplomacy research
Enables 70% faster news data processing, reduces manual analysis errors by 85%, and provides standardized reliability metrics for sources. Facilitates longitudinal conflict pattern analysis through automated historical data archiving and comparative analytics, significantly enhancing research output quality and decision-making capabilities for mediation initiatives.