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.

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

2014 ◽  
pp. 1360-1382
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

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.

scholarly journals A Linguistic Analysis of Translation Errors on Selected Public Notices in Kenya

2020 ◽  
Vol 1 (1) ◽  
pp. 1-12
Author(s):  
Macharia Daniel Maina
Keyword(s):  
Social Media ◽  
Discourse Analysis ◽  
Sampling Procedure ◽  
Cognitive Mechanisms ◽  
Linguistic Resources ◽  
Computer Mediated ◽  
The Social ◽  
Mediated Discourse ◽  
Translation Errors ◽  
The Relationship

This paper purposes to analyse translation errors in selected Kenyan public notices. Specifically, it examines how translation faults possess unique linguistic resources. There is an extensive existence of this genre countrywide albeit without proper academic scrutiny to further interrogate fundamental linguistic concepts therein. It involves the application of the Computer-Mediated Discourse Analysis (CMDA) which is unique to the analysis of this genre. Specifically, this research involves collecting data from the social media of the relevant public notices in Kenya.  Generally, twelve signage were analysed. The sampling procedure was done purposively to include the diversity of Kenya. To qualify, the data collected had to reflect translation blunders. Then, the data was analysed for linguistic resources. The data was presented using a table showing the relationship between the components sought. Consequently, the study enriched translational linguistics, evaluated textual analysis and critiqued the linguistic concepts of performance and competence. Additionally, it provided useful insights into the cognitive mechanisms used during humour production and understanding.

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)

If Pandora had a Blog

2015 ◽  
Vol 4 (2) ◽  
pp. 15-32
Author(s):  
Otilia Pacea
Keyword(s):  
Social Media ◽  
Computer Mediated Communication ◽  
High Impact ◽  
Genre Analysis ◽  
Mediated Communication ◽  
Political Blogs ◽  
Computer Mediated ◽  
Mediated Discourse ◽  
Digital Landscape

In the context of internet genre migration and proliferation, conventional taxonomies are no longer valid. To classify blogs between thematic and personal blogs is to blissfully ignore the legions of successful content prosumers, from political blogs to travel blogs, from food blogs to MAD (mom and dad) blogs, from fashion blogs to milblogs. With the recent explosion of social media, the digital landscape shifted and today there are more voices online than ever before. For blogs, however, the original purpose for communication has always been twofold: to inform and to emote. Computer-mediated communication may be overpopulated with a myriad of mixed forms and blogs might be dead or simply, difficult to reach with so much overlapping. Yet high-impact blogs still remain and are widely read. This paper explores the language of high-impact blogs, testing a new methodology for genre analysis to solve genre hybridity in the case of computer-mediated discourse.

Online Talk About Mental Health

2018 ◽  
Author(s):  
Joyce Lamerichs ◽  
Wyke Stommel
Keyword(s):  
Mental Health ◽  
Discourse Analysis ◽  
Support Groups ◽  
Mental Health Problems ◽  
Human Interaction ◽  
Online Support ◽  
Online Support Groups ◽  
Online Counseling ◽  
Computer Mediated ◽  
Mediated Discourse

There is a need to focus on research conducted on online talk about mental health in the domains of ethnomethodology, Conversation Analysis (CA), Discursive Psychology (DP), and Membership Categorization Analysis (MCA). We use the notion of “talk” in this article, as opposed to what could be considered a more common term such as “discourse,” to highlight that we approach computer-mediated discourse as inherently interactional. It is recipient designed and unfolds sequentially, responding to messages that have come before and building a context for messages that are constructed next. We will refer to the above domains that all share this view as CA(-related) approaches. A characterizing feature of interactional approaches to online mental health talk is their focus on in-depth analyses of relatively small amounts of data. With this focus at the center of their attention, they sit in the wider field of Discourse Analysis (DA), or Computer-Mediated Discourse Analysis (CMDA) who use language as their lens to understand human interaction. DA and CMDA research include a much wider set of both micro- and macro-analytic language-focused approaches to capture online discourse. Of all the CA(-related) work on online materials, a disproportionally large number of studies appear to deal with (mental) health talk. We aim to answer the question what the field of research on online mental health talk has yielded in terms of findings and methodologies. Centrally, CA (-related) studies of online mental health talk have aimed to grasp the actions people accomplish and the identities they invoke when they address their health concerns. Examples of actions in online mental health talk in particular are presenting oneself, describing a problem, or offering advice. Relevant questions for the above approaches that consider language-as-social-action are how these different actions are brought off and how they are received, by closely examining contributions such as e-mail and chat postings and their subsequent responses. With a focus on talk about mental health, this article will cover studies of online support groups (OSGs, also called online communities), and interaction in online counseling programs, mainly via online chat sessions. This article is organized as follows. In the historiography, we present an overview of CA(-related) work on online mental health talk. We discuss findings from studies of online support groups (OSGs) first and then move to results from studies on online counseling. The start of our historiography section, however, sets out to briefly highlight how the Internet may offer several particularly attractive features for those with mental health problems or a mental illness. After the historiography, we discuss what an interactional approach of online mental health talk looks like and focuses on. We offer examples of empirical studies to illustrate how written contributions to a forum, and e-mails or chat posts that are part of online counseling sessions are examined as interaction and which types of findings this results in. We conclude with a review of methodological issues that pertain to the field, address the most important ethical considerations that come into play when examining online mental health talk, and will lastly highlight some areas for future research.

scholarly journals Sonic branding: a conceptualization of the mass media audience

2021 ◽  
Author(s):  
Mila Falkenstein
Keyword(s):  
Social Media ◽  
Mass Media ◽  
Active Role ◽  
Media Audiences ◽  
Social Media Platforms ◽  
Sonic Branding ◽  
Contemporary Media ◽  
Media Environments ◽  
Commercial Advertising ◽  
Media Audience

This Major Research Paper (MRP) explores sonic logos, which are short sound bites used in commercial advertising to represent brands to the public. I discuss how these types of sounds are increasingly being used to attract audience attention in the current corporate and mass media landscape. My research is informed by scholarly debates about the role of the audience in contemporary media environments and traces key positions in this debate, including Celia Lury’s (1993) suggestion that contemporary audiences are passive and Philip Napoli’s (2010) suggestion that social media audiences now play a more active role in producing and sharing media content. Henry Jenkins (2004) provides a synthesis of these two views and states that while the audience has the option to be participatory on social media platforms, there is still an increasing trend toward concentrated ownership in the entertainment industry. I conducted interviews with advertising and branding professionals and analyzed the manner in which producers’ conceptualizations of the audience shape sonic branding practices. One key finding of my study is that media producers believe that changes in technology have changed the way that brand and media institutions interact with their audience. Another key finding is that producers view the contemporary media audience as distracted but also ore sophisticated due to their access and use of communication technologies.

A corpus study of outgrouping in Greek radical right computer-mediated discourses

2020 ◽  
Vol 8 (2) ◽  
pp. 188-231
Author(s):  
Ioannis E. Saridakis ◽  
Effie Mouka
Keyword(s):  
Discourse Analysis ◽  
Critical Discourse Analysis ◽  
Corpus Linguistics ◽  
Large Scale ◽  
Critical Discourse ◽  
Radical Right ◽  
Web Based ◽  
Corpus Study ◽  
Computer Mediated ◽  
Discursive Constructions

Abstract This paper reports on a large-scale study on how “enemies” are linguistically constructed by Greece’s radical right. The research combines corpus linguistics approaches and insights from critical discourse analysis, with the aim of analysing the referential/nomination and predication strategies used to delineate “others” as outgroups. Drawing on a 90 million-word corpus comprising the full set of texts from 13 radical right web-based platforms from 2001 to 2019, the research identifies and statistically classifies principal designators and qualifiers. By closely examining their diachronic variations and correlation with significant sociopolitical events, we critically categorise and discuss the empirical findings and thus unveil topics, as well as aspects of the argumentation, pooled by Greece’s radical right in their discursive constructions.

Discursive Practice and the Nigerian Identity in Personal Emails

2010 ◽  
pp. 112-129 ◽  
Author(s):  
Innocent Chiluwa
Keyword(s):  
Discourse Analysis ◽  
Social Identity ◽  
Electronic Mail ◽  
Civil Service ◽  
Discursive Practice ◽  
Discursive Practices ◽  
Personal Names ◽  
Computer Mediated ◽  
Mediated Discourse ◽  
Linguistic Approach

As communication by the electronic mail spreads and becomes increasingly common, more and more people are taking the advantage of its flexibility and simplicity for communicating social identity and cultural matters. This chapter, focuses on how Nigerian users of the electronic mails, apply the medium for expressing their identity through discursive means. Data comprises 150 personal emails written and sent between 2002 and 2009 in Lagos and Ota regions of Nigeria by individual email writers, comprising youths and adults from a university community and the Nigerian civil service. Applying socio-linguistic approach and computer-mediated discourse analysis, the study shows that the most common discursive means of expressing the Nigerian identity are greeting forms and modes of address; religious discursive practices and assertions of native personal names. The data also show evidences of Nigerian English in the email messages.

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