报纸
选择(遗传算法)
事件(粒子物理)
构造(python库)
人口
集合(抽象数据类型)
心理学
人口学
社会心理学
社会学
媒体研究
计算机科学
量子力学
物理
人工智能
程序设计语言
作者
Daniel J. Myers,Beth Schaefer Caniglia
标识
DOI:10.1177/000312240406900403
摘要
This study examined selection effects in newspaper reports about civil disorders in the late 1960s. A comprehensive set of events recorded in newspapers across the United States was compared with the subsets of these events recorded in two national newspapers often used to construct collective event data bases-the New York Times and the Washington Post. The results demonstrate that fewer than half of all disorders are covered in these two newspapers combined, and that those reported are selected on the basis of event intensity, distance, event density, city population size, type of actor, and day of the week. To demonstrate the effects of these selection patterns on substantive analysis of civil disorder, the authors replicated earlier studies using all reported events, and then repeated the analyses using only the events reported in the Times and the Post. This procedure showed some substantial differences in results. The implications of these findings for event analyses and for substantive understandings of media selection are discussed.
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