Iterations and Evolutions

2014 ◽  
pp. 143-158 ◽  
Author(s):  
Heather L. Hill ◽  
Jen Pecoskie
Keyword(s):  
Discourse Analysis ◽  
Pivot Point ◽  
Fan Communities ◽  
Computer Mediated ◽  
Production And Consumption ◽  
Mediated Discourse ◽  
The Creation ◽  
The Impact ◽  
Fifty Shades Of Grey

Intertext and paratext are central to the creation of fantexts and fan communities. It is essential therefore to explore how intertext and paratext affect the production and consumption of fanfiction, which involves the communication of the reader and author. In this chapter, the authors examine one fanfiction platform as a case study using the Fifty Shades of Grey enterprise as a contextual pivot point in order to understand the impact of digital paratext and intertext as tools constructing the medium of fanfiction. Using computer-mediated discourse analysis, the authors explore textual elements of three fanfiction titles, focusing on the paratext, the reader and author interactions, and the intertext, here the relation of the fanfictions to Fifty Shades of Grey and other texts, including those published on the same fanfiction forum (Fanfiction.net). Findings indicate that fanfiction not only includes paratextual elements for author-reader communication, but also that paratext is integral to the creation of fanfiction. As fanfictions evolve, they themselves become intertextual root-texts from which new fanfiction develops.

English in Flemish adolescents’ computer-mediated discourse

2012 ◽  
Vol 33 (3) ◽  
pp. 321-352 ◽  
Author(s):  
Benny De Decker ◽  
Reinhild Vandekerckhove
Keyword(s):  
Native Language ◽  
Electronic Media ◽  
Target Language ◽  
Socialization Process ◽  
Representative Case ◽  
Computer Mediated ◽  
Mediated Discourse ◽  
Copy And Paste ◽  
The Impact

The paper focuses on the presence of English in a written chat corpus produced by Flemish teenagers whose native language is (a variety of) Dutch: it deals with the relative presence of several lexemes and word categories, with the effect on the target language and with the way the loans are integrated into teenager chatspeak, i.e. with (g)localisation processes. In quantitative terms, the impact of English on the informal “speech” of Flemish teenagers appears to be considerable, but the borrowing process is not a copy-and-paste practice. In many cases the teenagers transform the English words graphemically, morphologically and/or semantically. By using an extensive and reliable corpus and by quantifying and categorizing the English tokens in several ways, this paper aims at describing a representative case study for the appropriation of English by a generation the socialization process of which partly proceeds via electronic media.

E-Relationships

2019 ◽  
pp. 192-212
Author(s):  
Jennifer Rider
Keyword(s):  
Discourse Analysis ◽  
Online Courses ◽  
Postsecondary Students ◽  
Diverse Students ◽  
Diverse Group ◽  
Cultural Backgrounds ◽  
Computer Mediated ◽  
Mediated Discourse ◽  
Student Participant

This empirical multi-case study explored a diverse group of postsecondary students' experiences with care in computer-mediated discourse (CMD) from their professors. Participants from a variety of ethnic and cultural backgrounds shared their definitions of care and what they perceive to be qualities of a caring professor. Through participant-selected samples of discourse artifacts identified as exhibiting care, computer-mediated discourse analysis (CMDA) was conducted collaboratively by each student participant and the researcher. The CMDA process highlighted several qualities commonly perceived by students as caring within CMD, organized into three themes: invitation, intentionality, and inclusiveness. These three themes of care are presented through six tenets that professors can use as they build awareness and reflectiveness around their discourse to diverse students in blended, hybrid, and online courses.

scholarly journals Motivating for Reading through Transmedia Storytelling: A Case Study with Students from a Middle School in the Médio Tejo Region

2021 ◽  
Vol 22 ◽  
pp. e23680
Author(s):  
Ana Paula Faria-Ferreira ◽  
Patrícia Alexandra Faria Ferreira ◽  
Célio Gonçalo Marques
Keyword(s):  
Learning Environments ◽  
Information And Communication Technologies ◽  
Pedagogical Practices ◽  
Mobile Technologies ◽  
Immersive Learning ◽  
Transmedia Storytelling ◽  
The Creation ◽  
Level Of Motivation ◽  
The Impact

The evolution of information and communication technologies has changed the way we relate to each other and how we build our knowledge. This creates challenges for education systems, as school must provide all students with the educational experiences that will enable them to develop the skills reflected in the profile of the 21st-century student on com  pletion of compulsory schooling. It is up to teachers to find new ways of teaching, making the most of the resources and digital tools made available by mobile technologies. Technology can make a significant contribution to increasing students' motivation because it is closer to what they like and use in their daily lives. And this introduction of technology into the classroom can promote student-oriented teaching, which contributes to the development of skills such as autonomy, critical thinking and self-esteem. One of the areas that can contribute to this paradigm shift is the creation of experiences in immersive learning environments such as Transmedia Storytelling. Immersive learning environments can favour the creation and implementation of projects that promote reading skills in schools. This is the focus of this article. The aim of this study is to evaluate the impact of transmedia storytelling on the level of motivation of students and on the improvement of pedagogical practices implemented by the teachers involved. This case study was carried out in the subject of Portuguese in three 7th-grade classes of a school from the Médio Tejo region. The results obtained suggest a high level of motivation of students and teachers. The latter recognise that pedagogical routes using Transmedia Storytelling contribute to the motivation, autonomy and improvement of students' learning.

scholarly journals PENGEMBANGAN MODEL ANALISIS RELASI BAHASA DAN INTERNET BERBASIS PARADIGMA CMDA (COMPUTER MEDIATED DISCOURSE ANALYSIS)

2018 ◽  
Vol 17 (2) ◽  
pp. 169
Author(s):  
Aceng Ruhendi Saifullah
Keyword(s):  
Discourse Analysis ◽  
State Of The Art ◽  
The State ◽  
The Internet ◽  
Internet Relationships ◽  
Communication Situation ◽  
Computer Mediated ◽  
Mediated Discourse ◽  
The Media ◽  
Development Of Language

Dalam dekade terakhir, kajian tentang  relasi bahasa, media, dan teknologi komunikasi telah menjadi kajian lintas disiplin yang menarik  perhatian para ahli dari berbagai disiplin ilmu. Lebih khusus, dalam kaitannya dengan kajian wacana  di Internet, penggunaan bahasa di Internet  dipandang sebagai pertanda lahirnya “new genre” sekaligus sebagai the state of the art dalam kajian wacana, yang dikenal sebagai kajian computer mediated discourse analysis (CMDA).  Dalam konteks perkembangan itu, kajian ini dimaksudkan untuk merumuskan model  analisis relasi bahasa dan Internet berbasis CMDA. Pertanyaannya, “sejauh mana paradigma CMDA  dapat dirumuskan sebagai model pengembangan analisis relasi bahasa dan Internet. Kajian ini menemukan, bahwa ragam bahasa di Internet tidak sepenuhnya menunjukkan ciri-ciri ragam tulis, akan tetapi cenderung menunjukkan ciri-ciri “ragam lisan yang dituliskan”. Di samping itu, ditemukan pula, bahwa konteks media dan konteks situasi komunikasi tampak berpengaruh secara signifikan dalam menentukan makna suatu tuturan di Internet.  Dengan demikian, paradigma CMDA dalam kajian wacana di Internet tampak relevan digunakan, terutama untuk mengindentifikasi ragam bahasa dan makna tuturan di Internet.Kata kunci: konteks media; konteks situasi komunikasi; Internet; computer mediated discourse analysis (CMDA)In the last decade, the study of language relations, media, and communications technology has become an interdisciplinary study that attracts the attention of experts from various disciplines. More specifically, in relation to the study of discourse on the Internet, the use of language on the Internet is seen as a sign of the birth of "new genre" as well as the state of the art in discourse studies, known as computer mediated discourse analysis (CMDA). In the context of this development, this study is intended to formulate models of analysis of language and Internet relationships based on CMDA. The question centers on the extent to which the CMDA paradigm can be formulated as a model for the development of language and Internet relation analysis. This study reveals that the variety of languages on the Internet does not fully show the characteristics of writing, but tends to show the characteristics of "written verbal". In addition, the analysis showed that the context of the media and the context of the communication situation seemed to have a significant effect on determining the meaning of a speech on the Internet. Thus, the CMDA paradigm in the study of discourse on the Internet seems relevant to use, especially to identify the variety of languages and meanings of speech on the Internet.Keywords: media context; context of communication situation; Internet; computer mediated discourse analysis (CMDA)

Analyzing Blending Social and Mass Media Audiences through the Lens of Computer-Mediated Discourse

2013 ◽  
pp. 304-326 ◽  
Author(s):  
Asta Zelenkauskaite
Keyword(s):  
Discourse Analysis ◽  
Mass Media ◽  
Mixed Method ◽  
Automated Analysis ◽  
Media Audiences ◽  
Mixed Method Approach ◽  
Audience Analysis ◽  
Computer Mediated ◽  
Mediated Discourse ◽  
Method Approach

This study illustrates advantages and applications of a mixed-method approach that includes quantitative computer-mediated discourse analysis (CMDA) and automated analysis of content frequency. To evaluate these methodologies, audience comments consisting of Facebook comments and SMS mobile texting to Italian radio-TV station RTL 102.5 were analyzed. Blended media contents through computer-mediated discourse analysis expand horizons for theoretical and methodological audience analysis research in parallel to established audience analysis metrics.

Twitter Chat as an Informal Learning Tool

2016 ◽  
pp. 1122-1139 ◽  
Author(s):  
Kevin R. Guidry ◽  
Laura A. Pasquini
Keyword(s):  
Higher Education ◽  
Student Affairs ◽  
Informal Learning ◽  
Learning Tool ◽  
Student Orientation ◽  
Education Professionals ◽  
Computer Mediated ◽  
Mediated Discourse ◽  
Higher Education Professionals

This case study focuses on Twitter as an informal learning tool. Specifically, the authors examine user-created Twitter chats using one specific chat, #sachat, as a case study. #sachat is a weekly one-hour chat held on Twitter and populated by higher education professionals in the field of student affairs (e.g. college admissions, advising, housing, new student orientation). The authors contrast this chat with other ways in which student affairs and higher education professionals are using Twitter. Using methods of computer-mediated discourse analysis, they then discover and elicit defining characteristics of #sachat. Finally, the authors offer thoughts on why this chat seems to be successful as an informal learning resource, how it compares to other uses of Twitter by professionals, and implications for other communities interested in using Twitter or similar tools to create informal learning.

Analyzing Blending Social and Mass Media Audiences through the Lens of Computer-Mediated Discourse

2015 ◽  
pp. 1281-1304
Author(s):  
Asta Zelenkauskaite
Keyword(s):  
Social Media ◽  
Discourse Analysis ◽  
Mass Media ◽  
Large Scale ◽  
Automated Analysis ◽  
Media Content ◽  
Media Audiences ◽  
Audience Analysis ◽  
Computer Mediated ◽  
Mediated Discourse

In recent years, mass media content has undergone a blending process with social media. Large amounts of text-based social media content have not only shaped mass media products, but also provided new opportunities to access audience behaviors through these large-scale datasets. Yet, evaluating a plethora of audience contents strikes one as methodologically challenging endeavor. This study illustrates advantages and applications of a mixed-method approach that includes quantitative computer-mediated discourse analysis (CMDA) and automated analysis of content frequency. To evaluate these methodologies, audience comments consisting of Facebook comments and SMS mobile texting to Italian radio-TV station RTL 102.5 were analyzed. Blended media contents through computer-mediated discourse analysis expand horizons for theoretical and methodological audience analysis research in parallel to established audience analysis metrics.

Analyzing Blending Social and Mass Media Audiences Through the Lens of Computer-Mediated Discourse

2018 ◽  
pp. 1022-1046
Author(s):  
Asta Zelenkauskaite
Keyword(s):  
Social Media ◽  
Discourse Analysis ◽  
Mass Media ◽  
Large Scale ◽  
Automated Analysis ◽  
Media Content ◽  
Media Audiences ◽  
Audience Analysis ◽  
Computer Mediated ◽  
Mediated Discourse

In recent years, mass media content has undergone a blending process with social media. Large amounts of text-based social media content have not only shaped mass media products, but also provided new opportunities to access audience behaviors through these large-scale datasets. Yet, evaluating a plethora of audience contents strikes one as methodologically challenging endeavor. This study illustrates advantages and applications of a mixed-method approach that includes quantitative computer-mediated discourse analysis (CMDA) and automated analysis of content frequency. To evaluate these methodologies, audience comments consisting of Facebook comments and SMS mobile texting to Italian radio-TV station RTL 102.5 were analyzed. Blended media contents through computer-mediated discourse analysis expand horizons for theoretical and methodological audience analysis research in parallel to established audience analysis metrics.

Twitter Chat as an Informal Learning Tool

2013 ◽  
pp. 356-377 ◽  
Author(s):  
Kevin R. Guidry ◽  
Laura Pasquini
Keyword(s):  
Higher Education ◽  
Student Affairs ◽  
Informal Learning ◽  
Learning Tool ◽  
Student Orientation ◽  
Education Professionals ◽  
Computer Mediated ◽  
Mediated Discourse ◽  
Higher Education Professionals

This case study focuses on Twitter as an informal learning tool. Specifically, the authors examine user-created Twitter chats using one specific chat, #sachat, as a case study. #sachat is a weekly one-hour chat held on Twitter and populated by higher education professionals in the field of student affairs (e.g. college admissions, advising, housing, new student orientation). The authors contrast this chat with other ways in which student affairs and higher education professionals are using Twitter. Using methods of computer-mediated discourse analysis, they then discover and elicit defining characteristics of #sachat. Finally, the authors offer thoughts on why this chat seems to be successful as an informal learning resource, how it compares to other uses of Twitter by professionals, and implications for other communities interested in using Twitter or similar tools to create informal learning.

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