Influential Women? Policing Styles in Online Recruitment Materials

2019 ◽  
Vol 23 (1) ◽  
pp. 3-24 ◽  
Author(s):  
Michael F. Aiello
Keyword(s):  
Content Analysis ◽  
Law Enforcement ◽  
Secondary Data ◽  
Semantic Mapping ◽  
Quantitative Content Analysis ◽  
Quantitative Content ◽  
Community Oriented Policing ◽  
Open Source Data ◽  
Online Recruitment ◽  
Law Enforcement Management

This article tests the temporal relationship between the representation of females in policing and organizational change toward community-oriented policing. This mixed methods study involves secondary data analysis of the 2013 Law Enforcement Management and Administrative Statistics survey, open-source data collection of online recruitment materials for 493 Law Enforcement Management and Administrative Statistics agencies, quantitative content analysis of a random sample of 131 departments, and Leximancer semantic mapping of the 493 departments’ materials. The two forms of content analysis focus on the particular emphases of “legalistic,” “watchman,” and “service” styles. The quantitative content analysis results largely support the temporal model, with the percent female sworn in a given department in 2013 significantly predicting whether that department’s 2018 recruitment materials focus on service or community-oriented policing content. The Leximancer semantic mapping results provide a more ambiguous picture, including legalistic through-line language around police work.

An automated quantitative content analysis process for humanitarian logistics research

2019 ◽  
Vol 9 (3) ◽  
pp. 475-491 ◽  
Author(s):  
Nathan Kunz
Keyword(s):  
Content Analysis ◽  
Secondary Data ◽  
Humanitarian Logistics ◽  
Quality Data ◽  
Main Theme ◽  
Quantitative Content Analysis ◽  
Content Type ◽  
Humanitarian Organizations ◽  
Analysis Process ◽  
Quantitative Content

Purpose Access to high-quality data is a challenge for humanitarian logistics researchers. However, humanitarian organizations publish large quantities of documents for various stakeholders. Researchers can use these as secondary data, but interpreting big volumes of text is time consuming. The purpose of this paper is to present an automated quantitative content analysis (AQCA) approach that allows researchers to analyze such documents quickly and reliably. Design/methodology/approach Content analysis is a method to facilitate a systematic description of documents. This paper builds on an existing content analysis method, to which it adds automated steps for processing large quantities of documents. It also presents different measures for quantifying the content of documents. Findings The AQCA approach has been applied successfully in four papers. For example, it can identify the main theme in a document, categorize documents along different dimensions, or compare the use of a theme in different documents. This paper also identifies several limitations of content analysis in the field of humanitarian logistics research and suggests ways to mitigate them. Research limitations/implications The AQCA approach does not provide an exhaustive qualitative analysis of documents. Instead, it aims to analyze documents quickly and reliably to extract the contents’ quantifiable aspects. Originality/value Although content analysis has been used in humanitarian logistics research before, no paper has yet proposed an automated, step-by-step approach that researchers can use. It also is the first study to discuss specific limitations of content analysis in the context of humanitarian logistics.

scholarly journals The construction of the Arab-Islamic issue in foreign news: Spanish newspaper coverage of the Egyptian revolution

2020 ◽  
Vol 45 (s1) ◽  
pp. 765-787
Author(s):  
Alfonso Corral ◽  
Leen d’Haenens
Keyword(s):  
Content Analysis ◽  
Newspaper Coverage ◽  
Quantitative Content Analysis ◽  
Egyptian Revolution ◽  
Cultural Discourses ◽  
Quantitative Content ◽  
Foreign News ◽  
International Event

AbstractThe aim of this article is to analyze how the Spanish newspapers covered an international event such as the Egyptian spring from 2011 to 2013. From the perspective of the representation of Arab-Islamic issues, this study carries out a quantitative content analysis on the four reference newspapers in Spain (ABC, El Mundo, El País, and La Vanguardia) to find out whether there was an Islamophobic or Islamophilic treatment during the Egyptian revolution. The results of the 3,045 articles analyzed show that Spanish newspapers were remarkably interested in Egyptian events and that cultural discourses were not relevant in the coverage. However, it is necessary to specify these outcomes by newspaper, because each paper proposed its own take on the matter based on information provided by press agencies.

scholarly journals Commenting, Sharing and Tweeting News

2016 ◽  
Vol 37 (2) ◽  
pp. 67-81 ◽  
Author(s):  
Susanne M. Almgren ◽  
Tobias Olsson
Keyword(s):  
Content Analysis ◽  
User Interaction ◽  
Quantitative Content Analysis ◽  
Multiple Features ◽  
Online Newspapers ◽  
Local Newspapers ◽  
Quantitative Content ◽  
Salient Features ◽  
Participatory Practices

Abstract Social plugins for sharing news through Facebook and Twitter have become increasingly salient features on news sites. Together with the user comment feature, social plugins are the most common way for users to contribute. The wide use of multiple features has opened new areas to comprehensively study users’ participatory practices. However, how do these opportunities to participate vary between the participatory spaces that news sites affiliated with local, national broadsheet and tabloid news constitute? How are these opportunities appropriated by users in terms of participatory practices such as commenting and sharing news through Facebook and Twitter? In addition, what differences are there between news sites in these respects? To answer these questions, a quantitative content analysis has been conducted on 3,444 articles from nine Swedish online newspapers. Local newspapers are more likely to allow users to comment on articles than are national newspapers. Tweeting news is appropriated only on news sites affiliated with evening tabloids and national morning newspapers. Sharing news through Facebook is 20 times more common than tweeting news or commenting. The majority of news items do not attract any user interaction.

Sign in / Sign up

Export Citation Format

Share Document