Recounting the Courts? Applying Automated Content Analysis to Enhance Empirical Legal Research

2007 ◽  
Vol 4 (4) ◽  
pp. 1007-1039 ◽  
Author(s):  
Michael Evans ◽  
Wayne McIntosh ◽  
Jimmy Lin ◽  
Cynthia Cates
Keyword(s):  
Content Analysis ◽  
Legal Research ◽  
Automated Content Analysis

scholarly journals Konstruksi Nalar Rechtvinding Hakim dalam Pemberian Izin Poligami yang Berkeadilan Gender dalam Putusan Pengadilan Agama Jombang No. 0899/Pdt.G/2016/PA.Jbg

AL-HUKAMA ◽  
2019 ◽  
Vol 9 (2) ◽  
pp. 496-517
Author(s):  
Abdullah Taufik ◽  
Ilham Tohari
Keyword(s):  
Content Analysis ◽  
Research Method ◽  
Islamic Law ◽  
Gender Justice ◽  
Legal Research ◽  
Analysis Techniques ◽  
Positive Law ◽  
The One ◽  
Legal Discovery ◽  
Religious Courts

The practice of polygamy in Indonesia until now has drawn criticism from some feminists who did not agree. But on the one hand, both Islamic law and positive law permit various conditions. In this case, the Religious Court (PA) becomes the last fence which becomes the determining point for a man to be able to polygamy. For this reason, researchers conducted a study of PA decisions on polygamy, namely Jombang PA Decision No. No. 0899 / Pdt.G / 2018 / PA.Jbg . The focus of the problem is (1) the value of gender justice in the decision and (2) reasoning rechtvinding(legal discovery) judge. The method used in this study is a normative-qualitative legal research method with content analysis techniques from Charles Purse. The results showed that the practice of polygamy licensing in the Religious Courts had actually gone through processes that reflected gender justice. This is reflected in the obligation of the Religious Court to summon the longest wife of the applicant for polygamy to be asked for willingness and information. The results of subsequent studies show that PA Jombang judges used hermeneutic techniques in making legal discovery efforts. Because, they not only focus on aspects of legality, but also consider the contextualization.

Reliability and Validity in Automated Content Analysis

2014 ◽  
pp. 352-363 ◽  
Author(s):  
Stuart Soroka
Keyword(s):  
Content Analysis ◽  
Latent Variables ◽  
Reliability And Validity ◽  
Methodological Issues ◽  
Automated Content Analysis ◽  
Content Analyses ◽  
The Many

In light of the research in other chapters in this volume, this chapter considers some of the important and as-yet-unresolved methodological issues in automated content analysis. The chapter focuses on DICTION in particular, but the concerns raised here also apply to automated content analytic techniques more generally. Those concerns are twofold. First, the chapter considers the importance of aggregation for the reliability of content analyses, both human- and computer-coded. Second, the chapter reviews some of the difficulties associated with testing the validity of the kinds of complex (latent) variables on which DICTION is focused. On the whole, the chapter argues that this (and its companion) volume reflect just some of the many possibilities for DICTION-based analyses, but researchers must proceed with a certain amount of caution as well.

Clustering of influential wine bloggers using automated content analysis techniques

2019 ◽  
Vol 30 (2) ◽  
pp. 157-165 ◽  
Author(s):  
Sarah Lord Ferguson ◽  
Leanne Ewing ◽  
Alessandro Bigi ◽  
Hoda Diba
Keyword(s):  
Content Analysis ◽  
Analysis Techniques ◽  
Automated Content Analysis

Management of construction Safety and Health Plans based on automated content analysis

2020 ◽  
Vol 120 ◽  
pp. 103362 ◽  
Author(s):  
María Martínez-Rojas ◽  
Rubén Martín Antolín ◽  
Francisco Salguero-Caparrós ◽  
Juan Carlos Rubio-Romero
Keyword(s):  
Content Analysis ◽  
Construction Safety ◽  
Health Plans ◽  
Automated Content Analysis ◽  
Safety And Health

scholarly journals Clouded reality: News representations of culturally close and distant ethnic outgroups

2020 ◽  
Vol 45 (s1) ◽  
pp. 744-764 ◽  
Author(s):  
Anne C. Kroon ◽  
Damian Trilling ◽  
Toni G. L. A. van der Meer ◽  
Jeroen G. F. Jonkman
Keyword(s):  
Content Analysis ◽  
Cultural Distance ◽  
Word Embeddings ◽  
Ethnic Bias ◽  
Automated Content Analysis ◽  
Newspaper Articles

AbstractThe current study explores how the cultural distance of ethnic outgroups relative to the ethnic ingroup is related to stereotypical news representations. It does so by drawing on a sample of more than three million Dutch newspaper articles and uses advanced methods of automated content analysis, namely word embeddings. The results show that distant ethnic outgroup members (i. e., Moroccans) are associated with negative characteristics and issues, while this is not the case for close ethnic outgroup members (i. e., Belgians). The current study demonstrates the usefulness of word embeddings as a tool to study subtle aspects of ethnic bias in mass-mediated content.

scholarly journals An Automated Content Analysis of Forestry Research: Are Socioecological Challenges Being Addressed?

2017 ◽  
Vol 115 (1) ◽  
pp. 1-9 ◽  
Author(s):  
Gabriela C. Nunez-Mir ◽  
Johanna M. Desprez ◽  
Basil V. Iannone ◽  
Teresa L. Clark ◽  
Songlin Fei
Keyword(s):  
Content Analysis ◽  
Forestry Research ◽  
Automated Content Analysis
Sign in / Sign up

Export Citation Format

Share Document