scholarly journals Using Wordle as a Supplementary Research Tool

Author(s):  
Carmel McNaught ◽  
Paul Lam

A word cloud is a special visualization of text in which the more frequently used words are effectively highlighted by occupying more prominence in the representation. We have used Wordle to produce word-cloud analyses of the spoken and written responses of informants in two research projects. The product demonstrates a fast and visually rich way to enable researchers to have some basic understanding of the data at hand. Word clouds can be a useful tool for preliminary analysis and for validation of previous findings. However, Wordle is an adjunct tool and we do not recommend that this method be used as a stand-alone research tool comparable to traditional content analysis methods.

2016 ◽  
Vol 5 (1) ◽  
pp. 16-32 ◽  
Author(s):  
Beatriz M Reyes-Foster ◽  
Aimee DeNoyelles

This article presents an exploratory research study about the influence of word clouds on critical thinking when they are incorporated into online discussions. In an online discussion, students were asked to critically analyze two speeches, being assigned to one of two conditions: one in which the text was linear, and one in which the text was presented in the form of word clouds. Discussions posts were coded in two blended sections of an undergraduate anthropology course to assess the type and frequency of critical thinking demonstrated therein. Students in the word cloud condition exhibited more instances of critical thinking than students in the linear condition, and more often paired articulation of thought with the citing of evidence. The paper concludes with recommendations for other educators interested in implementing a similar approach. 


2021 ◽  
pp. 204-216
Author(s):  
Kannapa Pongponrat ◽  
Naphawan Chantradoan

Abstract This chapter focuses on social media roles and their impact on elephant tourism in Thailand. A preliminary analysis is presented of data gathered from digital platforms such as websites, blogs, Facebook, Instagram and Twitter using content analysis methods. Topics include the issue of unethical elephant tourism practices, country image affected by unethical elephant tourism, and elephant welfare, particularly health and safety conditions. The chapter seeks to find solutions for ethical elephant tourism while also trying to raise awareness of the lack of elephants' own voices about their roles in tourist attractions and activities.


Author(s):  
Keith V. Bletzer

Purpose: Satisfaction surveys are common in the field of health education, as a means of assisting organizations to improve the appropriateness of training materials and the effectiveness of facilitation-presentation. Data can be qualitative of which analysis often become specialized. This technical article aims to reveal whether qualitative survey results can be visualized by presenting them as a Word Cloud. Methods: Qualitative materials in the form of written comments on an agency-specific satisfaction survey were coded and quantified. The resulting quantitative data were used to convert comments into “input terms” to generate Word Clouds to increase comprehension and accessibility through visualization of the written responses. Results: A three-tier display incorporated a Word Cloud at the top, followed by the corresponding frequency table, and a textual summary of the qualitative data represented by the Word Cloud imagery. This mixed format adheres to recognition that people vary in what format is most effective for assimilating new information. Conclusion: The combination of visual representation through Word Clouds complemented by quantified qualitative materials is one means of increasing comprehensibility for a range of stakeholders, who might not be familiar with numerical tables or statistical analyses.


2018 ◽  
Vol 19 (2) ◽  
pp. 48-64
Author(s):  
Umi Baroroh

Abstract: This research was conducted to find out how reward and punishment according to Irawati certainly does not conflict with the value of Islamic education. This is a library research the data of which were taken from several works of Irawati Istadi and direct interviews with her. The researcher also took some data from several researchers who discussed Irawati Istadi's thoughts and from Islamic education figures whose thoughts had relevance to the research theme. Content analysis methods is applied to draw conclusions. From this research, it can be concluded that the concept of reward and punishment according to Irawati Istadi turns out to be compatible with the Islamic education. However, in Irawati's thought, there are also some differences shows the development of thoughts from previous figures of Islamic education and certainly did not conflict with the values of Islamic education. Keywords: reward, punishment, Islamic education, Irawati Istadi, educator.


2020 ◽  
Vol 1 (2) ◽  
pp. 162
Author(s):  
Muhammad Iqbal

<strong>Abstrak: </strong>Studi ini membahas perspektif Syiah Imamiyah tentang dimensi tauhid. Dengan pendekatan tafsir al-Qur’an, tulisan ini mengungkapkan temuan bahwa Al-Qur’an sebagai pedoman bagi umat manusia memuat ayat-ayat tauhid yang merupakan asas dan dasar kajian Islam. Ayat-ayat ini diklasifikasi oleh ulama Syiah ke dalam dua kelompok. Kelompok pertama, ayat-ayat yang memuat tentang tauhid teoretis; pemikiran konsep serta pemahaman yang mentauhidkan Allah swt. baik dalam hal zat, sifat maupun perbuatan-Nya. Kelompok kedua adalah ayat-ayat yang mengulas tentang tauhid praktis atau yang disebut dengan tindakan atau amal yang berlandaskan tauhid teoretis. Pada gilirannya baik tauhid teoretis maupun tauhid praktis memiliki cabang dan variannya masing-masing.<br /><br /><strong>Kata Kunci</strong><strong>:</strong><strong> </strong>Syiah Imamiyah, tauhid, al-Qur’an<br /> <br /><strong>Abstract: Shia Imamiyah Perspective on Theology</strong>. This study examines the Shiite Imamiyah school of thought on the dimension of monotheism in the Qur’an. This study is a literature study where the works of Shiite scholars are analyzed by content analysis methods. This study is hoped to become as sufficient information about monotheism according to the Shiah school as explained by scholars of Shi’ism. This study proposes that there are two dimensions of monotheism in the Shia school, namely theoretical monotheism and practical dimensions. The theoretical dimension of monotheism constitutes three categories which include first, substance monotheism, second monotheism of character, and third, monotheism of action. In addition, the practical dimension in monotheism is divided into three namely monotheism in worship (<em>taw<span style="text-decoration: underline;">h</span>îd</em> ‘<em>ibâdah</em>), monotheism in obedience and observance, and monotheism in acquiring comfort and assistance.<br /> <br /><strong>Keywords:</strong> Shia Imamiyah, theology, Qur’an<strong></strong>


Author(s):  
Bárbara Castillo-Abdul ◽  
Daniela Jaramillo-Dent ◽  
Luis M. Romero-Rodríguez

The current media environment is complex and has important effects on all aspects of life, including beauty and health. In this sense, YouTube has become one of the main contexts for the dissemination of tutorials and content related to medical procedures such as the application of Botox. Thus, the present study constitutes the first exploratory analysis of YouTube videos in Spanish related to this procedure. A preliminary analysis of 221 YouTube videos yielded a final sample of the 50 most viewed videos within this genre. The analysis was carried out through a quantitative content analysis assessing the popularity of the videos, contact and emotive strategies by the creator, the credibility conveyed, and the characteristics of information about the procedure itself. Results suggest that these influencers align with mainstream Internet celebrity culture in practices that aim at increasing their following and views, as well as calls for subscriptions and visits to other platforms and profiles. Moreover, they include different strategies to establish their credibility but emphasize personal experience. The positive portrayal of the procedure, including positive emotions and content that highlights the benefits, is interesting and supports the commercial nature of much of the content.


Author(s):  
Umefien Dakoru Epepe

This study examined novel coronavirus (COVID-19) messages on select Nigeria-based WhatsApp groups. Viewed through the lens of the Rumour Theory, the study applied content analysis and social semiotics (multimodal discourse analysis) methods. Data were elicited from three purposively selected WhatsApp groups, using the constructed and continuous weeks approach. The sample covered 6 weeks (42 days), spread across March, April, and May 2020. Findings from the content analysis showed that texts, comments, and linked message on COVID-19, had the highest frequency. The frequency of messages peaked in March and steeply tapered downwards in April and May 2020. The multimodal discourse analysis demonstrated a preponderance of messages about vaccines, treatment, prevention, lockdown, and conspiracy theories. A significant number of COVID-19 messages were based on rumours and misinformation from spurious sources, with a few from credible sources. The study recommended that to help flatten the misinformation curve, timely, unambiguous and accurate COVID-19 information should be provided from official sources.


2021 ◽  
Vol 7 (2) ◽  
pp. 83-98
Author(s):  
Zafar Ullah ◽  
Muhammad Uzair ◽  
Arshad Mehmood

Word clouds manifest interactive visuals along with their statistical data. Thus knowledge discovery and aesthetic data visualization interlink to produce interactive word cloud which is an interesting, textual, statistical and visual data. This study aims to generate interactive word cloud—Cirrus—on the basis of statistical data to preview text of the novel for readers. So cirrus tool is selected from Voyant open access tools to produce interactive statistical word cloud. Then the generated word cloud and statistical data are analyzed with mixed method and its analysis draws insight from Rakesh Aggrawal’s Knowledge Discovery Theory which seeks innovative and interesting knowledge patterns. This thematic word cloud verifies already known themes and discovers innovative interesting themes. Current study reveals that all mentioned key themes can be easily extracted from a voluminous novel with the help of Cirrus tool. Key motifs have been presented in the word cloud for the readers. On the other hand, unwritten themes can’t be extracted through machine learning tools, rather it is the task of human cognition. Primarily, this novel based study reveals names of chief characters, for instance “Tommy (496),” “Ruth (455)” and “I (Kathy) (355).” Furthermore, motifs of nostalgic memories with word “remember (143),” “thought (126)” about “Hailsham (203),” “carer (74),” “sex (80),” sex “lectures (8)” have been discovered as a preview. Previewing technique prepares reader’s mind and gives an epigrammatic digital view of the text. The visual themes as knowledgeable word cloud leave an indelible mark on the slate of memory.


Author(s):  
Tom Clark ◽  
Liam Foster ◽  
Alan Bryman

Although much of the data used in social science dissertation projects is produced by interviews, surveys, and participant observation, there are other forms of data that can be used for the purposes of social science. This chapter explores some of this ‘documentary’ data and how to use it for the purposes of research. Documentary forms of data have some significant advantages that make them particularly useful for student research projects. This does not mean that they are without problems, but the chapter provides a practical guide for those who are prepared to look beyond familiar horizons. It makes the case for using documents; explores what can be included under the broad heading of documents; and introduces both quantitative and qualitative content analysis as a means to analyse documents.


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