伟大的期望?新闻研究中期望研究的分类

Claudia Wilhelm, Hanne Detel
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引用次数: 0

摘要

新闻研究中的期望研究的特点是与期望相关的术语的异质使用,反映了期望结构的复杂性和模糊性。为了实现不同期望概念的系统化和分类,我们开发了一个包含七个标准的分类法:(1)维度指定期望的内容,(2)维度指示概念的复杂程度,标准(3)视角和(4)对象指定正在处理谁的期望以及它们指向谁。期望水平区分了一阶和二阶期望。(6)层次的分析有助于定位期望概念,无论是在微观、中观还是宏观层面。最后,(7)模式允许将期望分类为规定性、概率性或评价性。分类法对新闻角色期望概念的典型应用揭示了以往研究的重点和研究差距。此外,该分类法还可用于进一步的理论构建和期望概念度量的开发。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Great expectations? A taxonomy for expectancy research in journalism studies
Expectancy research in journalism studies is characterized by a heterogeneous use of terms related to expectations, reflecting the complexity and ambiguity of the expectation construct. To enable a systematization and classification of different expectation concepts, we develop a taxonomy comprising seven criteria: Whereas the (1) dimension specifies the content of expectations and (2) dimensionality indicates the degree of complexity of the concept, the criteria (3) perspective and (4) object specify whose expectations are being addressed and to whom they are directed. The (5) level of expectation distinguishes between first- and second-order expectations. The (6) level of analysis helps locating expectation concepts, either at the micro, meso, or macro level. Finally, the (7) mode allows for classifying expectations as prescriptive, probabilistic, or valuative. An exemplary application of the taxonomy to the expectation concept of journalistic roles reveals the focus points of previous research and research gaps. Besides, the taxonomy can be used in further theory building and in developing measures of expectation concepts.
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