A METHODOLOGICAL FRAMEWORK FOR AI-BASED REPUTATION MONITORING OF COUNTRY’S INTERNATIONAL IMAGE ACROSS TOURISM, INVESTMENT, EDUCATION, AND DIPLOMACY CHANNELS: EXPERIENCE OF COUNTRIES SUCH AS SWEDEN, JAPAN, SOUTH KOREA, SINGAPORE

Kurolov , Maksud

Innovation science and technologiy · 2026-yil

Annotatsiya

Presently, there has been growing scholarly attention from policy researchers in public diplomacy studies onthe need to look into the analytical mechanisms that could systematically monitor international reputation dynamics ofnation states in digital communication environments. This study was an attempt to highlight the role of artificial intelligenceanalytics and reputation monitoring frameworks in determining country image perceptions in tourism competitiveness &foreign investment attraction (international perception indicators). Therefore, the methodological framework of the presentstudy can be used to better comprehend how AI-based monitoring systems could be implemented in enhancing nationalreputation management in global communication channels. The previously developed reputation indicators, countrybranding dimensions, and international perception variables in nation image studies were used to collect data from policyanalysts in tourism agencies and investment promotion institutions. Saaty’s Analytic Hierarchy Process and structuralequation modeling results on country reputation monitoring and stakeholder perception evaluation increased significantlyafter integration with the framework of the AI monitoring model. Additionally, the results of AHP weighting analysis showedthat tourism reputation signals and media-diplomacy sentiment indicators were the main areas of priority to be addressedby national reputation managers on the basis of tourism-brand perception and media-narrative influence, respectively.Moreover, the results also showed that out of four dimensions, digital diplomacy engagement played a significant role inmediating relationships between tourism reputation indicators and investment attractiveness perception. The frameworkderived from this study can be used for enhancing AI-based reputation monitoring systems in the context of nationalimage management.

Maqola ma’lumotlari
MualliflarKurolov , Maksud
JurnalInnovation science and technologiy
Nashr sanasi2026-02-01
Jild2
Son2
TilIngliz
DOI10.5281/zenodo.19200741

Kalit so‘zlar

AI-based reputation monitoring, Country reputation management, Digital diplomacy engagement, Tourism reputation signals, Investment sentiment perception, AHP–SEM integration, International perception indicators.

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