scholarly journals The Industry-Academia Gap in Responsible Tourism Management: An Automated Content Analysis

2021 ◽  
Vol 1 (2) ◽  
Keyword(s):  
Content Analysis ◽  
Tourism Management ◽  
Automated Content Analysis ◽  
Responsible Tourism

scholarly journals Responsible tourism as a strategic marketing tool for improving the negative image of South Africa

2017 ◽  
Vol 9 (5) ◽  
pp. 543-554 ◽  
Author(s):  
Richard George
Keyword(s):  
South Africa ◽  
Destination Image ◽  
Negative Image ◽  
Content Type ◽  
Tourism Management ◽  
Global Perception ◽  
Marketing Tool ◽  
Crime Risk ◽  
Responsible Tourism

Purpose The purpose of this paper is to examine the effect of a destination positioning itself as a responsible tourist destination to improve its image. Design/methodology/approach A review of the literature pertaining to responsible tourism management, crime risk and destination image. Findings This paper observes that responsible tourism policy can help improve the image of destination South Africa. Research limitations/implications This paper provides recommendations for destinations impacted by a negative global perception or being seen as a risky area to travel to, in the context of crime. Originality/value This paper examines the role of responsible tourism management in countering the negative image of crime risk in South Africa. In general, there is a dearth of research on this association.

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.

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

Investigating English for Specific Purposes Tourism Management Textbooks. Evidence from Iranian ESP Needs Analysis

2018 ◽  
Vol 9 (2) ◽  
pp. 248
Author(s):  
Mahmoud EGHDAMI ◽  
Ahamd MOINZAHEH ◽  
Hossein BARATI
Keyword(s):  
Content Analysis ◽  
English For Specific Purposes ◽  
Needs Analysis ◽  
Tourism Management ◽  
The World

The current study was an attempt to investigate whether the current textbooks applied in English for Tourism Management courses complied with the standards of such texts in the world-leading universities. In addition, it explored the instructors’ and students’ needs in relation to the quality of the texts. To this end, 5 instructors and 61 students of Tourism Management from four universities were selected. Two questionnaires were administered among the participants in the study. The obtained data were analysed through descriptive and content analysis. The findings revealed that current texts were in line with the standards of the world-leading universities. Concerning the second question, the instructors’ and students’ needs were clarified and discussed. Suggestions for further research were also reported.

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