International Journal of Social Science & Economic Research
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Title:
From Information to Emotion: The Structural Reversal of Online News and Video Consumption in China (2008–2025)

Authors:
Xudong Xing

Journal: International Journal of Social Science and Economic Research (IJSSER)
ISSN: 2455-8834
Volume: 11
Issue: 7
Publication Date: July 2026
DOI: 10.46609/IJSSER.2026.v11i07.005

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Xudong Xing
Leshan Normal University, Leshan, 614000, China

MLA 8
Xing, Xudong. "From Information to Emotion: The Structural Reversal of Online News and Video Consumption in China (2008–2025)." Int. j. of Social Science and Economic Research, vol. 11, no. 7, July 2026, pp. 2932-2951, doi.org/10.46609/IJSSER.2026.v11i07.005. Accessed July 2026.
APA 6
Xing, X. (2026, July). From Information to Emotion: The Structural Reversal of Online News and Video Consumption in China (2008–2025). Int. j. of Social Science and Economic Research, 11(7), 2932-2951. Retrieved from https://doi.org/10.46609/IJSSER.2026.v11i07.005
Chicago
Xing, Xudong. "From Information to Emotion: The Structural Reversal of Online News and Video Consumption in China (2008–2025)." Int. j. of Social Science and Economic Research 11, no. 7 (July 2026), 2932-2951. Accessed July, 2026. https://doi.org/10.46609/IJSSER.2026.v11i07.005.

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ABSTRACT:
Based on longitudinal CNNIC data (2008–2025), this study identifies a structural reversal in Chinese online news and video usage rates, shifting from strong positive correlation (r = 0.77) to pronounced negative correlation (r=?0.82), with mid-2019 as the critical breakpoint. Treating macro-level adoption trends as behavioral proxies, we indicate that public media consumption has fundamentally shifted from information acquisition to-ward emotional regulation. Extending Uses and Gratifications Theory, we introduce a Gratification–Algorithm Paradox: algorithmic recommendation systems transform active need-fulfillment into passive affective reinforcement, systematically crowding out cognitive processing when emotional needs surpass factual thresholds under high predictive precision. This paradox delineates the boundary conditions of traditional UGT in algorithm-driven environments and reconceptualizes media consumption as cognitive resource allocation under computational affordances. The findings offer a theoretical lens for understanding attention reallocation, digital dependency, and the rising risk of emotion-prioritized cognition in contemporary information ecosystems.

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