Araştırma Makalesi

Investigation of User Comments on Videos Generated by Deepfake Technology

Cilt: 9 Sayı: 1 30 Haziran 2025
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Investigation of User Comments on Videos Generated by Deepfake Technology

Öz

The ease of content production with developing technologies has caused deepfake-based videos to gain popularity and prevalence on social media platforms. Deepfake technology can be used for both manipulation and entertainment purposes because it can imitate people's voices and faces realistically. This study aims to evaluate user perceptions of content produced using deepfake technology. For this purpose, we captured the comments of the first three videos with the most views on the relevant theme on YouTube using the Python programming language. From each video, top-level comments that received 100 or more likes, along with 50 randomly selected comments with fewer than 100 likes, were analyzed through content analysis to ensure the inclusion of both prominent and less visible user perspectives. As a result of the analysis conducted on the data set collected from the YouTube platform, it was observed that users experienced feelings such as admiration and surprise toward the content produced with deepfake technology, as well as fear and anxiety regarding potential risks.

Anahtar Kelimeler

Kaynakça

  1. Abram, C. (2020). The most urgent threat of deepfakes isn’t politics. It’s porn. Retrieved from https://www.vox.com/2020/6/8/21284005/ urgent-threat-deepfakes-politics-porn-kristen-bell google scholar
  2. Agarwal, S., Farid, H., Fried, O., & Agrawala, M. (2020). Detecting deep-fake videos from phoneme-viseme mismatches. In Proceedings of the IEEE/CVF conference on computer vision and pattern recognition workshops (pp. 660-661). google scholar
  3. Albahar, M., & Almalki, J. (2019). Deepfakes: Threats and countermeasures systematic review. Journal of Theoretical and Applied Infor-mation Technology, 97(22), 3242-3250. google scholar
  4. Bohacek, M., & Farid, H. (2024). The making of an AI news anchor—and its implications. Proceedings of the National Academy of Sciences, 121(1), e2315678121. https://doi.org/10.1073/pnas.2315678121 google scholar
  5. Chen, X., Sin, S. C. J., Theng, Y. L., & Lee, C. S. (2015). Why students share misinformation on social media: Motivation, gender, and study-level differences. The Journal of Academic Librarianship, 41(5), 583-592. https://doi.org/10.1016/j.acalib.2015.07.003 google scholar
  6. Chesney, R., & Citron, D. (2019). Deepfakes and the new disinformation war: The coming age of post-truth geopolitics. Retrieved from https://www.foreignaffairs.com/articles/world/2018-12^11/deepfakesand-new-disinformation-war google scholar
  7. De Ruiter, A. (2021). The distinct wrong of deepfakes. Philosophy & Technology, 34(4), 1311-1332. https://doi.org/10.1007/s13347-021-00459-2 google scholar
  8. Dobber, T., Metoui, N., Trilling, D., Helberger, N., & De Vreese, C. (2021). Do (microtargeted) deepfakes have real effects on political attitudes? The International Journal of Press/Politics, 26(1), 69-91. https://doi.org/10.1177/1940161220944364 google scholar

Ayrıntılar

Birincil Dil

İngilizce

Konular

Derin Öğrenme, Veri Madenciliği ve Bilgi Keşfi, Yapay Zeka (Diğer)

Bölüm

Araştırma Makalesi

Yayımlanma Tarihi

30 Haziran 2025

Gönderilme Tarihi

10 Nisan 2025

Kabul Tarihi

3 Haziran 2025

Yayımlandığı Sayı

Yıl 2025 Cilt: 9 Sayı: 1

Kaynak Göster

APA
Kaya, S. (2025). Investigation of User Comments on Videos Generated by Deepfake Technology. Acta Infologica, 9(1), 208-222. https://doi.org/10.26650/acin.1673277
AMA
1.Kaya S. Investigation of User Comments on Videos Generated by Deepfake Technology. ACIN. 2025;9(1):208-222. doi:10.26650/acin.1673277
Chicago
Kaya, Sertaç. 2025. “Investigation of User Comments on Videos Generated by Deepfake Technology”. Acta Infologica 9 (1): 208-22. https://doi.org/10.26650/acin.1673277.
EndNote
Kaya S (01 Haziran 2025) Investigation of User Comments on Videos Generated by Deepfake Technology. Acta Infologica 9 1 208–222.
IEEE
[1]S. Kaya, “Investigation of User Comments on Videos Generated by Deepfake Technology”, ACIN, c. 9, sy 1, ss. 208–222, Haz. 2025, doi: 10.26650/acin.1673277.
ISNAD
Kaya, Sertaç. “Investigation of User Comments on Videos Generated by Deepfake Technology”. Acta Infologica 9/1 (01 Haziran 2025): 208-222. https://doi.org/10.26650/acin.1673277.
JAMA
1.Kaya S. Investigation of User Comments on Videos Generated by Deepfake Technology. ACIN. 2025;9:208–222.
MLA
Kaya, Sertaç. “Investigation of User Comments on Videos Generated by Deepfake Technology”. Acta Infologica, c. 9, sy 1, Haziran 2025, ss. 208-22, doi:10.26650/acin.1673277.
Vancouver
1.Sertaç Kaya. Investigation of User Comments on Videos Generated by Deepfake Technology. ACIN. 01 Haziran 2025;9(1):208-22. doi:10.26650/acin.1673277