SHYN: MULTILINGUAL MULTIASPECT MEDIA PROFILING

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dc.contributor.authorOrel, Daniil
dc.contributor.authorKhamitov, Rakhat
dc.contributor.authorKazymbetov, Abylaikhan
dc.contributor.authorMars, Shynar
dc.contributor.authorTyler, Ben
dc.contributor.authorYazici, Adnan
dc.date.accessioned2024-06-26T11:34:46Z
dc.date.available2024-06-26T11:34:46Z
dc.date.issued2024
dc.description.abstractWith the rapid increase in the volume of information generated on the web, the issue of misinformation has become more pronounced. Consequently, the ability to assess the factuality of reporting by various web sources, on par with understanding their political bias and attempts to manipulate the reader's decisions has emerged as a critical need. Presently, the majority of existing systems predominantly cater to English language sources, leaving a significant gap in multi-language coverage. To address this, we are introducing Shyn (derived from the Kazakh word Shyn meaning "the truth") - an innovative online tool designed for media profiling across ten major languages: English, Chinese, Hindi, Kazakh, Italian, French, Korean, Spanish, German and Russian. This tool represents a significant step forward in supporting diverse linguistic contexts in the critical task of discerning accurate information on the interneten_US
dc.identifier.citationOrel, D., Khamitov, R., Kazymbetov, A., Mars, S., Tyler, B., & Yazici, A. (2024). In SHYN: Multilingual Multiaspect Media Profiling. Nazarbayev University School of Engineering and Digital Sciencesen_US
dc.identifier.urihttp://nur.nu.edu.kz/handle/123456789/8032
dc.language.isoenen_US
dc.publisherNazarbayev University School of Engineering and Digital Sciencesen_US
dc.rightsAttribution 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/us/*
dc.subjectType of access: Open Accessen_US
dc.titleSHYN: MULTILINGUAL MULTIASPECT MEDIA PROFILINGen_US
dc.typeBachelor's thesis, capstone projecten_US
workflow.import.sourcescience

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