Understanding Information Framing and Its Psychological Effects through Large-Scale Text Analysis
Abstract
The rapid evolution of digital communication infrastructures has fundamentally altered the mechanisms through which information is disseminated and consumed. Information framing—the strategic presentation of specific facets of reality to influence human perception—has transitioned from a localized rhetorical device to a systemic feature of large-scale algorithmic ecosystems. This paper investigates the psychological effects of information framing through the lens of large-scale text analysis, employing a socio-technical systems perspective. By synthesizing insights from cognitive psychology, linguistics, and systems engineering, we examine how architectural choices in information delivery systems exacerbate or mitigate framing effects. We analyze the structural trade-offs between algorithmic efficiency and cognitive diversity, arguing that the current deployment of large-scale text analysis tools often prioritizes engagement metrics over psychological robustness. Furthermore, this study explores the governance and policy implications of systemic framing, emphasizing the need for transparent infrastructure and fairness-aware deployment. We conclude that addressing the psychological externalities of information framing requires a multi-layered approach that integrates ethical AI design with robust socio-technical oversight to ensure the long-term sustainability of the global information commons.
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This work is licensed under a Creative Commons Attribution 4.0 International License.
This article is published under the Creative Commons Attribution 4.0 International License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
