MODELING THE EFFECTIVENESS AND ALGORITHMIC ANALYSIS OF AN AI-BASED INTERACTIVE TELEVISED DEBATE PLATFORM: A CONCEPTUAL TECHNOLOGICAL SOLUTION FOR UZBEKISTAN

dc.contributor.authorNafosat Davlatova
dc.contributor.authorNodira Sadullayeva
dc.date.accessioned2025-12-28T19:26:57Z
dc.date.issued2025-07-31
dc.description.abstractThis paper proposes a conceptual and algorithmic model of an AI-driven interactive televised debate platform adapted for Uzbekistan’s political information landscape. Through a combination of surveys, content analysis, and mathematical modeling, the study assesses the communicative efficiency of classical debate formats. The findings indicate limited audience engagement in traditional formats, while the integration of artificial intelligence significantly enhances interactivity through tools such as fact-checking, sentiment analysis, and real-time participation. A mathematical model based on user response metrics and temporal dynamics is introduced to simulate algorithmic interaction in political discourse. The proposed platform aims to foster transparency, public trust, and digital civic engagement.
dc.formatapplication/pdf
dc.identifier.urihttps://ejird.journalspark.org/index.php/ejird/article/view/1543
dc.identifier.urihttps://asianeducationindex.com/handle/123456789/12606
dc.language.isoeng
dc.publisherJournal Park Publishing
dc.relationhttps://ejird.journalspark.org/index.php/ejird/article/view/1543/1475
dc.rightshttps://creativecommons.org/licenses/by-nd/4.0
dc.sourceEuropean Journal of Interdisciplinary Research and Development ; Vol. 41 (2025); 97-103
dc.source2720-5746
dc.subjectArtificial Intelligence; Political Communication; Interactive Televised Debate; User Participation; Uzbekistan; Sentiment Analysis; Algorithmic Modeling.
dc.titleMODELING THE EFFECTIVENESS AND ALGORITHMIC ANALYSIS OF AN AI-BASED INTERACTIVE TELEVISED DEBATE PLATFORM: A CONCEPTUAL TECHNOLOGICAL SOLUTION FOR UZBEKISTAN
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:eu-repo/semantics/publishedVersion
dc.typePeer-reviewed Article

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