Social Media, Policy Perception, and Welfare Decisions: An Interdisciplinary Review of Contemporary Research

Anni Hao

doi:10.6981/FEM.202505_6(5).0006

Authors

Anni Hao

DOI:

https://doi.org/10.6981/FEM.202505_6(5).0006

Keywords:

Social Media; Public Policy; Welfare Decision-Making; Policy Perception.

Abstract

This review examines how social media platforms like Rednote, Wechat, and Instagram shape public attitudes toward welfare policies. These platforms influence policy discussions through mechanisms such as algorithmic content filtering, collective mobilization, and real-time sentiment analysis. Social media’s impact on policy discourse is a double-edged sword. It offers significant potential for democratic engagement but also poses challenges related to misinformation and polarization. Drawing on interdisciplinary insights, this review highlights the importance of understanding social media’s role in shaping welfare policy outcomes. The review emphasizes the need for better methodologies to capture the influence of social media and offers recommendations for policymakers, platform designers, and researchers. It calls for more transparent and cross-disciplinary research approaches to address these challenges effectively.

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References

[1] K. Jaidka, T. Chen, S. Chesterman, W. Hsu, M. Y. Kan, M. Kankanhalli, ... & A. Yue, "Misinformation, disinformation, and generative AI: Implications for perception and policy," Digit. Gov.: Res. Pract., vol. 6, no. 1, pp. 1-15, 2025, doi: 10.1145/3689372.

[2] I. Freiling, M. Stubenvoll, and J. Matthes, "Support for misinformation regulation on social media: It is the perceived harm of misinformation that matters, not the perceived amount," Policy & Internet, vol. 15, no. 4, pp. 731-749, 2023, doi: 10.1002/poi3.360.

[3] S. J. Tsang and L. Zhou, "Understanding public preference for misinformation interventions: support for digital platform monitoring, media literacy education and legislation," Online Inf. Rev., 2025, doi: 10.1108/OIR-07-2024-0454.

[4] N. Komendantova, D. Erokhin, and T. Albano, "Misinformation and its impact on contested policy issues: the example of migration discourses," Societies, vol. 13, no. 7, p. 168, 2023, doi: 10.3390/soc13070168.

[5] A. Knuutila, L. M. Neudert, and P. N. Howard, "Who is afraid of fake news?: Modeling risk perceptions of misinformation in 142 countries," Harvard Kennedy School Misinformation Rev., vol. 3, no. 3, 2022, doi: 10.37016/mr-2020-97.

[6] Z. Lu, Y. Jiang, C. Lu, M. Naaman, and D. Wigdor, "The government's dividend: complex perceptions of social media misinformation in China," in Proc. 2020 CHI Conf. Hum. Factors Comput. Syst., 2020, pp. 1-12, doi: 10.1145/3313831.3376612.

[7] S. Bogart and J. Lees, "Meta-perception and misinformation," Curr. Opin. Psychol., vol. 54, p. 101717, 2023, doi: 10.1016/j.copsyc.2023.101717.

[8] A. Gaysynsky, N. Senft Everson, K. Heley, and W. Y. S. Chou, "Perceptions of health misinformation on social media: cross-sectional survey study," JMIR Infodemiology, vol. 4, e51127, 2024, doi: 10.2196/51127.

[9] E. A. Kyza, C. Varda, D. Panos, M. Karageorgiou, N. Komendantova-Amann, S. Coppolino Perfumi, ... & A. S. Hosseini, "Combating misinformation online: re-imagining social media for policy-making," Internet Policy Rev., vol. 9, no. 4, pp. 1-24, 2020, doi: 10.14763/2020.4.1514.

[10] K. Hartley and M. K. Vu, "Fighting fake news in the COVID-19 era: policy insights from an equilibrium model," Policy Sci., vol. 53, no. 4, pp. 735-758, 2020, doi: 10.1007/s11077-020-09405-z.