O comparație a modelelor de inteligență artificială folosite pentru detectarea știrilor false
DOI:
https://doi.org/10.53477/2065-8281-23-07Keywords:
știri false;, dezinformare;, managementul dezinformării;, procesarea limbajului natural, ; NLP;, inteligență artificială;, învățare automată;, securitate ciberneticăAbstract
Acest articol propune o comparație a modelelor actuale de ultimă generație de procesare a limbajului natural (NLP), optimizate pentru detectarea știrilor false, pe baza unui set de metrici. De asemenea, lucrarea dorește să evalueze eficacitatea acestora, ca parte a unei structuri de management al dezinformării. Necesitatea unei dezvoltări a acestui domeniu vine ca răspuns la răspândirea copleșitoare și nereglementată a știrilor false care reprezintă una dintre dificultățile majore în epoca actuală. Dezvoltarea tehnologiilor IA are un impact direct asupra creării și răspândirii dezinformării și a știrilor false, ca urmare a utilizărilor multiple pe care tehnologia le poate avea. În prezent, tehnicile de învățare automată sunt utilizate pentru dezvoltarea modelelor de limbaj mari (LLM). Aceste evoluții în știință sunt folosite și în campaniile de dezinformare. Legat de această problemă, conceptul de management al dezinformării a apărut ca o problemă de securitate cibernetică integrantă în peisajul actual al amenințărilor venite din planul virtual.
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