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Responses to News Overload in a Non-Partisan Environment: News Avoidance in China

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Listed:
  • Tianchang Ni
  • Runping Zhu
  • Richard Krever

Abstract

Studies conducted in Western democratic countries with privately owned press presenting news from different ideological perspectives have found the phenomenon of news overload causes stress in media users (affective load) and this leads to news avoidance behavior. This study, conducting a structural equation modeling using AMOS 27, investigates the relationships between news overload, affective load, and consequent news avoidance behavior in China. The findings suggest, consistent with studies in Western democratic jurisdictions, that news overload and affective load influence users’ news avoidance behavior. However, in contrast to studies outside of China, this study found demographic variables of age, gender, education, and occupation had no statistically significant influence on avoidance behavior by Chinese social media news consumers. The results suggest that either social attributes and responses by media users in China are significantly different from those in Western countries or ideology plays an important role in avoidance behavior and the impact of ideology is different across different demographic groups in Western jurisdictions.

Suggested Citation

  • Tianchang Ni & Runping Zhu & Richard Krever, 2023. "Responses to News Overload in a Non-Partisan Environment: News Avoidance in China," SAGE Open, , vol. 13(3), pages 21582440231, July.
    • Handle: RePEc:sae:sagope:v:13:y:2023:i:3:p:21582440231184864
    DOI: 10.1177/21582440231184864
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    References listed on IDEAS

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    1. Schick, Allen G. & Gordon, Lawrence A. & Haka, Susan, 1990. "Information overload: A temporal approach," Accounting, Organizations and Society, Elsevier, vol. 15(3), pages 199-220.
    2. Bettis-Outland, Harriette, 2012. "Decision-making's impact on organizational learning and information overload," Journal of Business Research, Elsevier, vol. 65(6), pages 814-820.
    3. Chewning, Eugene Jr & Harrell, Adrian M., 1990. "The effect of information load on decision makers' cue utilization levels and decision quality in a financial distress decision task," Accounting, Organizations and Society, Elsevier, vol. 15(6), pages 527-542.
    4. Malhotra, Naresh K, 1982. "Information Load and Consumer Decision Making," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 8(4), pages 419-430, March.
    5. Keming Yang & Ahmad Banamah, 2014. "Quota Sampling as an Alternative to Probability Sampling? An Experimental Study," Sociological Research Online, , vol. 19(1), pages 56-66, February.
    6. Guo, Yuanyuan & Lu, Zhenzhen & Kuang, Haibo & Wang, Chaoyou, 2020. "Information avoidance behavior on social network sites: Information irrelevance, overload, and the moderating role of time pressure," International Journal of Information Management, Elsevier, vol. 52(C).
    7. Russell Golman & David Hagmann & George Loewenstein, 2017. "Information Avoidance," Journal of Economic Literature, American Economic Association, vol. 55(1), pages 96-135, March.
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