Text visualization as a qualitative analysis tool

2014 ◽  
Author(s):  
Tara Gregory
Author(s):  
Alba García-Ortega ◽  
José Alberto García-Avilés

The use of games to convey the news involves wrestling with two different narrative logics: the professional culture of journalism, based on the verification of information and the standards of objectivity and truthfulness, and the culture of games, characterized by the creation of imaginary worlds, the persuasive potential of entertainment and the mechanics of the gaming experience. This article examines a sample of eight newsgame designs and the mechanisms through which they transmit information on issues related to political activity. We designed a qualitative analysis tool to examine the journalistic and gaming quality of the newsgames by analysing 28 parameters in four categories: formal parameters, content parameters, quality of use and architecture and design. Our results show that the use of playful elements is compatible with the fulfilment of journalistic quality standards and the choice of mechanics and dynamics determines how the user perceives and interacts with the information. However, the balance between both aspects does not guarantee that a newsgame provides the narrative resources to understand the information autonomously. Thus, newsgames are a genre with great journalistic potential when using the correct choice of mechanics and dynamics that allows communicating information according to news standards.


Author(s):  
Senthil Chandrasegaran ◽  
Lorraine Kisselburgh ◽  
Karthik Ramani

Automated content analysis software tools have significantly aided in the study of design processes in the recent past. However, they suffer from the lack of domain knowledge and insight that a human expert can provide. In this paper, we adopt the use of text visualization techniques that help in gaining insights and identifying relevant patterns from the results obtained through a content analysis software. We motivate our approach with the observation that examining overall patterns in data aids us significantly in identifying interesting and relevant details concerning specific contexts in the data. We use the proposed approach to study the effect of adopting Laseau’s “design funnel” of alternating divergent and convergent design processes among student teams in a toy design course, and compare it to student teams that follow a free brainstorming process. We demonstrate the application of lexical dispersion plots and text concordances as a means to further examine the output of a conventional content analysis tool, and use these techniques to separate patterns from anomalies. We identify cases of concept consistency across teams using the dispersion plots, and identify cases of multiple word senses through text concordances. Finally, we present insights that were obtained through these visualizations and propose contexts for further studies of the data.


2021 ◽  
Vol 30 (1) ◽  
pp. 1-31
Author(s):  
Akond Rahman ◽  
Md Rayhanur Rahman ◽  
Chris Parnin ◽  
Laurie Williams

Context: Security smells are recurring coding patterns that are indicative of security weakness and require further inspection. As infrastructure as code (IaC) scripts, such as Ansible and Chef scripts, are used to provision cloud-based servers and systems at scale, security smells in IaC scripts could be used to enable malicious users to exploit vulnerabilities in the provisioned systems. Goal: The goal of this article is to help practitioners avoid insecure coding practices while developing infrastructure as code scripts through an empirical study of security smells in Ansible and Chef scripts. Methodology: We conduct a replication study where we apply qualitative analysis with 1,956 IaC scripts to identify security smells for IaC scripts written in two languages: Ansible and Chef. We construct a static analysis tool called Security Linter for Ansible and Chef scripts (SLAC) to automatically identify security smells in 50,323 scripts collected from 813 open source software repositories. We also submit bug reports for 1,000 randomly selected smell occurrences. Results: We identify two security smells not reported in prior work: missing default in case statement and no integrity check. By applying SLAC we identify 46,600 occurrences of security smells that include 7,849 hard-coded passwords. We observe agreement for 65 of the responded 94 bug reports, which suggests the relevance of security smells for Ansible and Chef scripts amongst practitioners. Conclusion: We observe security smells to be prevalent in Ansible and Chef scripts, similarly to that of the Puppet scripts. We recommend practitioners to rigorously inspect the presence of the identified security smells in Ansible and Chef scripts using (i) code review, and (ii) static analysis tools.


2018 ◽  
Vol 60 (1) ◽  
pp. 196-245 ◽  
Author(s):  
Donna J. Wood ◽  
Ronald K. Mitchell ◽  
Bradley R. Agle ◽  
Logan M. Bryan

To contribute to the continuing challenge of explaining how managers identify stakeholders and assess their salience, in this article, we chronicle the history, assess the impact, and evaluate the possibilities opened by Mitchell, Agle, and Wood (MAW-1997). We do so through two types of qualitative analysis, and also through utilizing a quantitative network analysis tool. The first qualitative analysis categorizes the major contributions of the most influential papers succeeding MAW-1997; the second identifies and compares the relevant issues with MAW-1997 at the time of initial publication and today. We apply main path analysis, a quantitative tool, to map how this scholarly domain has evolved. These three analyses robustly depict the impact of MAW-1997 and the ensuing scholarly conversation, and they enable us to illustrate the current state and trajectory of stakeholder identification and salience scholarship. We close by discussing pressing topics related to the broader body of stakeholder theory literature.


2018 ◽  
Vol 11 (3) ◽  
pp. 477
Author(s):  
Marco André Mazzarotto Filho ◽  
Vânia Ribas Ulbricht

Activity theory can be used as a framework for analyzing any human activity mediated by an artifact, including learning activities mediated by educational technologies. However, the authors who proposed the theory have not presented methods or procedures for its application, so each research has to structure yours own way of using it. To contribute to this problem, the objective of this work was to identify and analyze how the theory is applied in works in the field of educational technology and propose suggestions of procedures to be used in future researches. A bibliometric research followed by a qualitative analysis of works in this area was used as research strategy. The results indicate that the activity theory is already applied in the field of educational technology as an analysis tool. The advantages of its application consist in providing a holistic view of the social and complex context in which technologies are inserted, as well as the identification of the interrelationships and contradictions between the various actors (subjects and community) and the other elements of the activity (mediating artefacts, division of labor and rules and customs). Although the theory originally proposed does not present a standardized protocol of how the framework should be applied, the qualitative analysis was able to identify in the analyzed works a general common line of its use. This general line was synthesized in the form of an application model of the activity theory framework presented at the end of this article.


2018 ◽  
Vol 9 (4) ◽  
pp. 626-653 ◽  
Author(s):  
Yi Sun ◽  
Xi Chen

Abstract The complex and abstract character of political discourse makes it difficult to be understood directly by ordinary people. Assuming that use of metaphor could make political language easier to comprehend, more and more scholars began to focus on the study of metaphor in political discourse. However, most of these studies paid only attention to the contrastive study of single metaphor phenomena, while diachronic studies of metaphors still remained few. The present paper attempts to make a diachronic analysis of metaphor clusters in American and Chinese political discourse. The data employed are American and Chinese leaders’ political speeches, addressed to university students; the Chinese corpus contains 119021 characters, while the American corpus includes 118805 words. The research was implemented over three periods, namely before 1900, from 1900 to 2010, and from 2010 up to now (when the new term “metaphor cluster” was introduced to study the clustering phenomena of metaphor in different periods). In addition, both qualitative analysis and qualitative analysis were employed; the linguistic analysis tool Wmatrix and MIPVU procedures were adopted to identify metaphor clusters, thereby remedying the shortcomings of traditional methods which identify metaphor through researchers’ intuition and perception. Qualitative analysis was used to conduct a contrastive analysis of dominant metaphor clusters and how they tend to be used by the lecturers, both in the American and the Chinese corpuses. The data analysis shows that metaphor clusters abound in American and Chinese leaders’ political speeches in universities. Generally speaking, Chinese leaders adopt more metaphor clusters than do their American counterparts. Similar metaphor clusters in both data are: journey, family, and building. Circle and art metaphor clusters are unique to the Chinese data, while religion and drama metaphor clusters only occur in the American data. Before 1990, leaders adopted few metaphor clusters both in America and in China; the two decades from 1990 to 2010 witnessed a peak season of employing metaphor clusters in both Chinese and American leaders’ speeches, whereas after 2010, the usage of metaphor clusters in Chinese data ushered in a new stage of development, with a multitude of new metaphorical expressions having cultural connotations. The results reveal that the differences in the usage of metaphor clusters are mainly due to the various ideologies and cultural backgrounds of the two countries. In addition, our analysis also shows that the employment of metaphor clusters in political discourse could lead the audiences’ direction of thinking, reduce the audiences’ comprehensive burden, and arouse the audiences’ emotions.


Author(s):  
Melen McBride

Ethnogeriatrics is an evolving specialty in geriatric care that focuses on the health and aging issues in the context of culture for older adults from diverse ethnic backgrounds. This article is an introduction to ethnogeriatrics for healthcare professionals including speech-language pathologists (SLPs). This article focuses on significant factors that contributed to the development of ethnogeriatrics, definitions of some key concepts in ethnogeriatrics, introduces cohort analysis as a teaching and clinical tool, and presents applications for speech-language pathology with recommendations for use of cohort analysis in practice, teaching, and research activities.


2011 ◽  
Vol 21 (2) ◽  
pp. 44-54
Author(s):  
Kerry Callahan Mandulak

Spectral moment analysis (SMA) is an acoustic analysis tool that shows promise for enhancing our understanding of normal and disordered speech production. It can augment auditory-perceptual analysis used to investigate differences across speakers and groups and can provide unique information regarding specific aspects of the speech signal. The purpose of this paper is to illustrate the utility of SMA as a clinical measure for both clinical speech production assessment and research applications documenting speech outcome measurements. Although acoustic analysis has become more readily available and accessible, clinicians need training with, and exposure to, acoustic analysis methods in order to integrate them into traditional methods used to assess speech production.


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