Editorial

This issue of the Journal contains three interesting articlesabout central aspects of public opinion research, as well asan equal number of research notes that reflect the range oftopics that interest all public opinion researchers. Toshio Takeshita takes a turn at reconceptualizing agenda-settingstudies, using a taxonomy     

Analysis of format duplication in an academic library collection

The issue of format duplication in academic library collections is increasingly complicated and perplexing in an environment of static or dwindling resources, soaring user expectations, dynamic access models, and inconsistent and changing publisher and vendor pricing structures. The problem is further complicated for libraries serving a university with multiple campus locations. This paper surveys recent investigative projects and highlights the work of a Duplicate Formats Task Force at Pennsylvania State University charged with determining the extent and nature of format duplication at that institution.     

传媒经济学研究的历史、方法与范例

本文主要回顾了传媒经济学在西方的发展历程、研究方法以及不同时期的研究议题。传媒经济学是构建于不同的经济学理论和分析方法之上的应用性学科,它致力于研究经济和金融力量如何影响传媒体系和传媒组织。西方传媒经济学创建于20世纪50年代,至今已发展成为一个活跃的和跨学科研究领域。文章认为,西方传媒经济学的主要研究范例包括理论型、应用型和批评型范例;其研究方法可分为行业市场研究、公司研究和影响力研究。在介绍西方传媒经济学研究的同时,本文还简要回顾了传媒经济学在中国的兴起与发展。     

Organizational Power and the Institutional Review Board

In this essay, we respond to the narratives and essays in this issue by examining organizational power issues related to researchers and institutional research boards (IRBs). Rather than taking a singular perspective on power, we use multiple perspectives and suggest that the cumulative analyses provide the best understanding of IRBs and organizational power.     

Analysis of Statistical Question Classification for Fact-Based Questions

Question classification systems play an important role in question answering systems and can be used in a wide range of other domains. The goal of question classification is to accurately assign labels to questions based on expected answer type. Most approaches in the past have relied on matching questions against hand-crafted rules. However, rules require laborious effort to create and often suffer from being too specific. Statistical question classification methods overcome these issues by employing machine learning techniques. We empirically show that a statistical approach is robust and achieves good performance on three diverse data sets with little or no hand tuning. Furthermore, we examine the role different syntactic and semantic features have on performance. We find that semantic features tend to increase performance more than purely syntactic features. Finally, we analyze common causes of misclassification error and provide insight into ways they may be overcome.     

White lies: a racial history of the (post)truth

In the aftermath of the 2016 election of President Trump, a veritable cottage industry of opinion pieces, blogs, and articles emerged overnight, most of which seemed to agree that only the post-truth could explain how a racist, misogynistic, neo-nationalist member of the economic elite could win a presidential election. This article, in contrast, is inspired by Barbara Christian’s injunction that we question why a given statement, concept, or theory is now acceptable when before it was not. Operating in this spirit, we critique post-truth critics for neglecting the material tradition of ideological criticism in favor of epistemological explanations for understanding post-truth literature; we then offer two case studies—American drug policy and housing policy—to illustrate the racial amnesia required for claiming that only now do we live in a post-truth era.     

Contesting Communities

This introductory article to the combined special issue of Journalism Studies and Journalism Practice provides an overview of some of the key contemporary approaches to studying journalism and social order. It argues the need to step beyond a functionalist framework when considering the news media’s central role in shaping social connections, community and cohesion. To advance our understandings of social order, our paper suggests a greater emphasis of the significance of journalism’s relationship to the wider social sphere along with three other key considerations, including (1) a critical focus on the relationship between media, politics and social order, especially in defining and/or negotiating “anti-social” practices and social disintegration; (2) a more refined focus on the “imagined” and geographic boundaries of news audiences in digital spaces; and (3) the changing relationship to norms and conventions of journalism practice from trust and legitimacy to the role of journalists as arbiters and connectors across social spaces.