ABSTRACT

Algorithmic journalism (AJ) has become widely popular, emerging in mainstream trends. Despite this surging popularity, little is known about the ways through which readers understand and actualize the potential for trust or affordances in AJ. The goal of the study is to highlight principles of algorithmic process in AJ and the processes these principles are perceived, appreciated and acted upon by AJ users. The idea of algorithmic trust is proposed as a new form of digital affordance in algorithm-driven news services. It identifies key issues of AJ and conceptualizes such issues in reference to algorithmic trust by analyzing how they influence reader satisfaction and adoption of AJ. A multi-mixed mixed method integrating interpretive methods and empirical survey was used for Korean users. Algorithmic affordances offer a useful standpoint on the conceptualization of algorithmic trust. Cognitive processes and heuristic mechanisms provide better foundations for algorithm design and development and a stronger basis for design of sensemaking AJ. Based on the study, a theoretical model is proposed to define algorithmic trust in the context of AJ.

摘要

算法新闻（AJ）已经广泛流行，成为主流趋势。尽管人气飙升，但对于读者如何理解和实现 AJ 中的信任或可供性潜力的方式知之甚少。该研究的目的是突出 AJ 中算法过程的原则以及这些原则被 AJ 用户感知、欣赏和采取行动的过程。算法信任的概念被提出作为算法驱动的新闻服务中的一种新形式的数字可供性。它确定了 AJ 的关键问题，并通过分析它们如何影响读者满意度和 AJ 的采用来将这些问题概念化到算法信任方面。韩国用户使用了一种结合解释方法和实证调查的多混合混合方法。算法可供性为算法信任的概念化提供了一个有用的观点。认知过程和启发式机制为算法设计和开发提供了更好的基础，也为意义建构 AJ 的设计提供了更坚实的基础。在此研究的基础上，提出了一种理论模型来定义 AJ 环境下的算法信任。