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Increasing the Effectiveness of Fake News Detection: An Educational Program for High School Students Using Interactive Neural Network Training and Collective Intelligence

Yıl 2023, Cilt: 33, 26 - 33, 30.12.2023
https://doi.org/10.55549/epess.1413293

Öz

This paper presents the project results designed to provide high school students with essential ICT tools to identify and counteract fake news and disinformation commonly found on the Internet, especially on platforms like X/Twitter. Additionally, it introduces an educational program that utilizes interactive neural network training and collective intelligence to combat fake news. For this project, there was developed an IT framework enabling the collective training of a specialized neural network. In order to conduct a quasi-experiment, we engaged three research groups of high school students, each containing app. 10-15 members. Through a set of comprehensive workshops, the students were trained to recognize harmful online content. After this training, students actively participated in data classification on various topics, laying the foundation for the neural network's training model. The presented results underscore the efficacy of this immersive method in imparting digital literacy and enhancing the group intelligence. Moreover, the results highlight the promising potential of machine learning in assisting youth to navigate the complex digital terrain safely and responsibly. The final phase of the conducted research involved testing the trained neural network in detecting disinformation, particularily in the topics of 5G technologies and immigration problems in Poland.

Kaynakça

  • Ahmed, W., Bath, P. A., & Demartini, G. (2017). Using Twitter as a data source: An overview of ethical, legal, and methodological challenges. In K. Woodfield (Ed.), The ethics of online research (advances in research ethics and ıntegrity (Vol. 2, pp. 79-107). Emerald Publishing Limited.
  • Aleguas, S. (2023) The fake arrest of Donald Trump: A deepfake odyssey. Retrieved from https://levelup.gitconnected.com/the-fake-arrest-of-donald-trump-a-deepfake-odyssey-db3a6c17eba6.
  • Allcott, H., Gentzkow, M. (2017) Social media and fake news in the 2016 election. Journal of Economic Perspectives, 31( 2), 211–236.
Yıl 2023, Cilt: 33, 26 - 33, 30.12.2023
https://doi.org/10.55549/epess.1413293

Öz

Kaynakça

  • Ahmed, W., Bath, P. A., & Demartini, G. (2017). Using Twitter as a data source: An overview of ethical, legal, and methodological challenges. In K. Woodfield (Ed.), The ethics of online research (advances in research ethics and ıntegrity (Vol. 2, pp. 79-107). Emerald Publishing Limited.
  • Aleguas, S. (2023) The fake arrest of Donald Trump: A deepfake odyssey. Retrieved from https://levelup.gitconnected.com/the-fake-arrest-of-donald-trump-a-deepfake-odyssey-db3a6c17eba6.
  • Allcott, H., Gentzkow, M. (2017) Social media and fake news in the 2016 election. Journal of Economic Perspectives, 31( 2), 211–236.
Toplam 3 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Alan Eğitimleri (Diğer)
Bölüm Articles
Yazarlar

Rafał Olszowskı Bu kişi benim

Erken Görünüm Tarihi 2 Ocak 2024
Yayımlanma Tarihi 30 Aralık 2023
Yayımlandığı Sayı Yıl 2023 Cilt: 33

Kaynak Göster

APA Olszowskı, R. (2023). Increasing the Effectiveness of Fake News Detection: An Educational Program for High School Students Using Interactive Neural Network Training and Collective Intelligence. The Eurasia Proceedings of Educational and Social Sciences, 33, 26-33. https://doi.org/10.55549/epess.1413293