GLOBAL MEDIAMAKONDA AXBOROT MONITORINGI: KONTENT TAHLILI VA SUN'IY INTELLEKT IMKONIYATLARI
Keywords:
Axborot monitoringi, sun'iy intellekt, kontent tahlili, sentimental tahlil, soxta yangilik aniqlash, tabiiy til qayta ishlash, BERT, media axborot ekotizimlari, dezinformatsiya, transformerlar, ko'p modal tahlil, raqamli media.Abstract
Ushbu tadqiqot global mediamakondagi axborot monitoringining zamonaviy holati, kontent tahlili metodologiyalari hamda sun'iy intellekt (SI) texnologiyalarining media sohasiga tatbiqi masalalarini keng qamrovli ilmiy tahlil qilishga bag'ishlangan.References
1. Allcott, H., & Gentzkow, M. Social media and fake news in the election. Journal of Economic Perspectives, 31(2), 211–236.
2. Baly, R., Karadzhov, G., Alexandrov, D., Glass, J., & Nakov, P. We can detect your bias: Predicting the political ideology of news articles. Findings of EMTTQI, 4981–4991.
3. Brown, T. B., Mann, B., Ryder, N., Subbiah, M., Kaplan, J., Dhariwal, P., & Amodei, D. Language models are few-shot learners. Advances in Neural Information Processing Systems, 33, 1877–1901.
4. Chakraborty, T., Bhatt, S., Iyengar, S. R. S., & Kaur, G. Countering AI-generated text: Challenges and methodologies. ACM Computing Surveys, 56(3), 1–38.
5. Conneau, A., Khandelwal, K., Goyal, N., Chaudhary, V., Wenzek, G., Guzmán, F., & Stoyanov, V. Unsupervised cross-lingual representation learning at scale. Proceedings of the 58th Annual Meeting of the ACL, 8440–8451.
6. Devlin, J., Chang, M.-W., Lee, K., & Toutanova, K. BERT: Pre-training of deep bidirectional transformers for language understanding. Proceedings of NAACL-HLT 2019, 1, 4171–4186