Construction and Empirical Research on the Indicator Framework of Social Media Information Literacy Based on the Theory of Planned Behavior
Title
Construction and Empirical Research on the Indicator Framework of Social Media Information Literacy Based on the Theory of Planned Behavior
Description
Presentation at the CALA Canada 2026 Annual Event
Creator
Hu, Xiaoshu
Source
CALA Canada 2026 Annual Event
Publisher
Chinese American Librarians Association
Date
2026-05-29
Rights
https://creativecommons.org/licenses/by/4.0/
Format
application/pdf
Language
eng
Type
Text; Presentation
Abstract
Against the backdrop of pervasive social media and generative AI adoption, individuals increasingly face critical challenges such as misinformation diffusion and privacy breaches. Grounded in the Theory of Planned Behavior, this study established a comprehensive evaluation indicator framework for social media information literacy through literature review, the Delphi method, and the Analytic Hierarchy Process (AHP). Based on this indicator framework, a questionnaire survey was conducted among Chinese adolescents, and empirical results indicated their overall social media information literacy remains relatively low, with especially insufficient performance in problem-solving and critical thinking. A targeted teaching intervention based on the Theory of Planned Behavior was further implemented, which effectively improved adolescents' problem-solving capabilities. Path analysis also validated the applicability of the theory in information literacy instruction. This presentation introduces the indicator framework, key findings, and practical strategies for enhancing social media information literacy, providing valuable insights for library and information professionals.
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Collection
Citation
Hu, Xiaoshu, “Construction and Empirical Research on the Indicator Framework of Social Media Information Literacy Based on the Theory of Planned Behavior,” CALASYS - CALA Academic Resources & Repository System, accessed June 13, 2026, https://ir.cala-web.org/items/show/1564.
