FAKE NEWS TARALISHINI BASHORAT QILISH: MASHINAVIY O'QITISH MODELLARINING TAQQIYOSIY TAHLILI

Zenodo (CERN European Organization for Nuclear Research) 2026 Open access

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Authors: Mohlaroy Yursunaliyeva, Ahrorjon Yo'ldashev
DOI: 10.5281/zenodo.18183631
Cited by: 0

Abstract

So‘nggi yillarda ijtimoiy tarmoqlarda yolg‘on axborot (fake news) ning tez va keng tarqalishi jamiyat, siyosat hamda iqtisodiyotga jiddiy salbiy ta’sir ko‘rsatmoqda. Ushbu maqolada fake news tarqalishini bashorat qilish masalasi mashinaviy o‘qitish yondashuvlari asosida o‘rganiladi. Turli klassifikatsiya modellarining samaradorligi taqqoslanib, ularning aniqlik, sezgirlik va F1-mezonlar bo‘yicha natijalari tahlil qilinadi. Tadqiqot natijalari fake newsni erta aniqlash va uning tarqalishini cheklashda samarali modellarni tanlash imkonini beradi.

Fields of Study & Subjects

Medical Sociocultural and Biopolitical Studies Education Innovation and Language Studies Contemporary art education critique

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
8 January 2026