Issue |
ITM Web Conf.
Volume 70, 2025
2024 2nd International Conference on Data Science, Advanced Algorithm and Intelligent Computing (DAI 2024)
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Article Number | 04002 | |
Number of page(s) | 7 | |
Section | AI and Advanced Applications | |
DOI | https://doi.org/10.1051/itmconf/20257004002 | |
Published online | 23 January 2025 |
Inescapable Media: The Role of Social Media Data Mining in Understanding American Adolescent Media Engagement
Yew Chung International School of Chongqing, 2 Huxia Street, Yuan Yang Town, Yubei District, Chongqing, 401122, China
Corresponding author: cheryl.peng2021@ycis.com
With social media as the frontier of many American adolescent lives, there seems to be a shift in experiences of the new generation. This paper delves into the impacts of American adolescent media engagement, with a priority of the role of social media data mining in understanding behaviour and trends. This study utilizes innovative data mining techniques such as sentiment analysis, trend detection, and network analysis; it allows insights into how social interactions impact psychological and emotional growth. The discovery of the twofold nature of the media provides opportunities for affirmative individualism and likewise, perils such as cyberbullying. By applying social media data mining, it contributes to an innate understanding of the effects of the media on youth development. The paper highlights the progress of tactics to mitigate the undesirable effects of social media whilst enriching its progressive influences on growth and welfare.
© The Authors, published by EDP Sciences, 2025
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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