YouTube Algorithm and Disinformation Issues 


Vol. 49,  No. 6, pp. 874-882, Jun.  2024
10.7840/kics.2024.49.6.874


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  Abstract

With the proliferation of smartphones and the advancement of internet speeds, the usage of social media has experienced a significant and rapid surge. In this evolving landscape, the predominant platform for video content is none other than YouTube. Despite operating a robust recommendation algorithm that leverages collaborative and content-based filtering technologies, YouTube grapples with the formidable challenge of generating misinformation due to its vast and diverse user base. Indeed, the scale of fake news, when examined statistically, is undeniably substantial. This misinformation has given rise to a myriad of societal issues, prominently manifesting in the form of the echo-chamber effect and the filter bubble effect. Furthermore, these effects have played a pivotal role in various instances of political exploitation, adding an extra layer of complexity to the challenges at hand. The algorithm's inherent efficiency, coupled with widespread user engagement, has inadvertently facilitated the production and dissemination of misleading information, necessitating a comprehensive approach to address the multifaceted challenges posed by misinformation on the platform.

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  Cite this article

[IEEE Style]

J. Lee, "YouTube Algorithm and Disinformation Issues," The Journal of Korean Institute of Communications and Information Sciences, vol. 49, no. 6, pp. 874-882, 2024. DOI: 10.7840/kics.2024.49.6.874.

[ACM Style]

Jong-bin Lee. 2024. YouTube Algorithm and Disinformation Issues. The Journal of Korean Institute of Communications and Information Sciences, 49, 6, (2024), 874-882. DOI: 10.7840/kics.2024.49.6.874.

[KICS Style]

Jong-bin Lee, "YouTube Algorithm and Disinformation Issues," The Journal of Korean Institute of Communications and Information Sciences, vol. 49, no. 6, pp. 874-882, 6. 2024. (https://doi.org/10.7840/kics.2024.49.6.874)
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