碎片化传播环境下受众深度阅读行为的缺失与再激活

The Absence and Reconstruction of Audiences’ Deep Reading Behavior in a Fragmented Communication Environment

摘要: 数字技术迭代推动传播形态全面碎片化，算法推荐下的轻量化内容重塑了受众阅读生态，深度阅读面临式微困境。本文基于使用与满足理论与信息过载理论，从传播学视角剖析碎片化传播的载体、内容与模式特征，阐释深度阅读缺失的形成机制；研究发现，算法推荐固化认知路径、流量导向引发内容生产偏移、移动渠道割裂阅读连续性、信息过载稀释深度内容，共同造成阅读认知浅层化、注意力分散与阅读偏好单一。需通过平台算法优化、深度内容创新与受众媒介素养提升协同发力，在碎片化语境中重建深度阅读的可能性。

Abstract: Digital technology has fragmented communication, and algorithm-driven lightweight content reshapes the reading ecology, leading to the decline of deep reading. Based on Uses and Gratifications and Information Overload theories, this paper analyzes features of fragmented communication and mechanisms behind the absence of deep reading from a communication perspective. It finds that algorithmic cognitive solidification, traffic-oriented content shift, broken reading continuity and information overload result in superficial cognition, scattered attention and single reading preference. Joint efforts in algorithm optimization, content innovation and media literacy improvement are required to reactivate deep reading in fragmented contexts.