scholarly journals Proud to be a Malaysian!-Malaysian Identity in YouTube Comments

2019 ◽  
Vol 8 (3S2) ◽  
pp. 745-751
Keyword(s):  
Social Media ◽  
Everyday Life ◽  
Geographical Location ◽  
Video Clips ◽  
Code Mixing ◽  
Internet Users ◽  
Computer Mediated ◽  
Mediated Discourse ◽  
Identity Based ◽  
Youtube Videos

Social media has become a part and parcel of many online users’ everyday life as it allows the users to share their ideas and comments. One example of social media which is content-based is YouTube. YouTube provides a platform for users to upload video clips, viewable by anyone, and the users can also write comments. Even though Internet users can remain anonymous in the boundless cyberspace many traces of identity of a particular community can still be recognised through the use of language online. Thus, a vast amount of language and computer-mediated discourse can be gathered from social media such as YouTube to aid in the understanding of a particular community’s identity. This current study is interested to investigate how the Malaysian identity is being represented in YouTube comments through its users. The responses and phrases used to comment on Malaysia related YouTube videos were analysed to see whether they yield any interesting linguistic data. Findings revealed that there were a few recurring categories of expressions being mentioned in the YouTube comments that can be used to represent the Malaysian identity such as feelings towards the country and being a Malaysian, the food in Malaysia, languages, race and identity, Malaysian stereotypes or behaviours, as well as the geographical location of Malaysia. Code switching and code mixing were also regarded as part of the Malaysian identity based on the YouTube comments.

scholarly journals Talking Visuals in Social Media: Linguistic Study of Facebook among a Selected Group of Kenyan Internet Users.

2020 ◽  
Vol 2 (1) ◽  
pp. 138-150
Author(s):  
Florence Muthoni Mwithi
Keyword(s):  
Social Media ◽  
21St Century ◽  
The Internet ◽  
Making Meaning ◽  
Visual Texts ◽  
Pictorial Presentation ◽  
Internet Users ◽  
Computer Mediated ◽  
Mediated Discourse ◽  
Form Part

This paper investigates how Facebook users in Kenya lean on pictures to amply meaning in their online posts. This argument on visuals, and their utility on social media is important to the current study as visuals form part of the analysis and it will be important to examine what realities they represent apart from the written texts. The article located itself within the frameworks of Computer Mediated Discourse Analysis (CMDA) and used questionnaires to obtain data. Pictorial presentation of information has been a common practice in the 21st century Kenya. A text on the Internet may be multimodal; having written speech and visual texts. These visual texts are used with various motives like entertainment, passing information, advocacy, and advertisement. It becomes extremely important to recognize that visuals and other forms of semiosis (making meaning) are as important as words in the construction of reality. A pictorial will often offer a different version of reality from that of verbal text. This study concluded that the number of photos by females was almost double the ones for males, meaning as far as this study is concerned, this motivation factor of photo uploads is more in females than in males.

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.

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.

Communicative functions of emoji sequences on Sina Weibo

First Monday ◽  
2018 ◽  
Author(s):  
Jing Ge ◽  
Susan C. Herring
Keyword(s):  
Social Media ◽  
Strong Support ◽  
Sina Weibo ◽  
Graphical Language ◽  
Universal Language ◽  
Communicative Functions ◽  
Computer Mediated ◽  
Mediated Discourse ◽  
Media Platform ◽  
Further Development

The popular press is currently rife with speculation that emoji are becoming a global, digitally-mediated language. Sequences of emoji that function like verbal utterances potentially lend strong support to this claim. We employ computer-mediated discourse analysis to analyze the pragmatic meanings conveyed through emoji sequences and their rhetorical relations with accompanying text, focusing on posts by social media influencers and their followers on a popular Chinese social media platform. The findings show that the emoji sequences can function pragmatically like verbal utterances and form relations with textual propositions, although their usage differs from textual utterances in several respects. We also observed user innovations that make the sequences more language like, although there is not as yet a fixed grammar of emoji sequences. We characterize this emoji use as an emergent graphical language, with the caveats that it is not yet a fully-formed language and that the Chinese emoji language that is emerging is different from the English variety, and therefore emoji are not a universal language. In order to promote the further development of emoji language(s), we advance recommendations for emoji design grounded in linguistic principles.

The daily dose of digital inspiration 2: Themes and affective user responses to meaningful memes in social media

2019 ◽  
Vol 21 (10) ◽  
pp. 2201-2221 ◽  
Author(s):  
Diana Rieger ◽  
Christoph Klimmt
Keyword(s):  
Gender Differences ◽  
Social Media ◽  
Past Research ◽  
Well Being ◽  
Media Psychology ◽  
Beneficial Effects ◽  
Internet Users ◽  
Daily Dose ◽  
Small Doses ◽  
Youtube Videos

Recent work on eudaimonic media entertainment has demonstrated that not only movies carry meaningful or inspiring topics but also content that is usually uploaded online, such as YouTube videos or memes in social media. Although past research found beneficial effects of eudaimonic movies for psychosocial well-being and motivational intentions, the daily audience of eudaimonic online fare has not been investigated yet. This article reports first findings from a survey ( N = 2777), representative of German Internet users. Specifically, it addresses the question of (daily) encounters with eudaimonic memes, remembered topics, emotional and motivational effects with a focus on gender differences. The results reveal that many social media users consume “small doses” of eudaimonic content on a regular basis and experience similar, yet weaker, emotional consequences of such exposure. These findings are discussed in light of eudaimonic entertainment and positive media psychology.

YouTube Generated Video Clips as Qualitative Research Data: One Researcher’s Reflections on the Process

2018 ◽  
Vol 24 (10) ◽  
pp. 759-767 ◽  
Author(s):  
Ashley N. Patterson
Keyword(s):  
Social Media ◽  
Research Data ◽  
Public And Private ◽  
Policy Makers ◽  
Making Meaning ◽  
Video Clips ◽  
The Social ◽  
Social Media Platforms ◽  
Youtube Videos ◽  
Insight Into

The ever-developing arena of social media blurs lines separating public and private spheres. Voluntary usage of social media platforms transforms users’ personal and sometimes private imaginings into publicly accessible artifacts. The entanglement of these two domains demands society’s consideration as policy makers, employers, and qualitative inquirers contend with making meaning of messages initiated within the social media sphere in a world extending beyond it. In this article, I reflect on interplay with a subset of data from my dissertation featuring transcripts pulled from YouTube videos posted by self-identified biracial individuals. As I attempted to instill dialogic properties into what could have been unidirectional interactions, I confronted several challenges. I managed pressures of simultaneous allegiances to my research goals and to the integrities of my informants who were not aware that they were informing me. This article provides insight into navigating these tensions, which are necessary and, to date, too scarcely available.

scholarly journals Analisis Like to Subscriber Ratio Youtube Pada 5 K-Pop Girl Group Of The Year 2021

2021 ◽  
Author(s):  
ni putu ayu evi wahyu pramesty
Keyword(s):  
Social Media ◽  
Video Clip ◽  
Video Sharing ◽  
Video Clips ◽  
Internet Users

Youtube is a website that is in the field of Video Sharing, which is popular among users, there are features to load, watch, and share video clips for free. Youtube is a video clip of films, advertisements, TV, and videos created by Google. With more than 2 Billion monthly active users, Youtube platform has grown very rapidly. Where almost 43% of all global internet users every monthYoutube is a powerful way and one of the most powerful ways in social media. With the existence of Youtube, it can also provide a branding for Korean Pop Girl Bands. The Youtube platform can certainly provide an opportunity for Korean Pop Girl Bands to become a streaming platform. The rise of famous Kpops include: BlackPink, Aespa, Redvelvet, Mamamoo, Itzy 5 Kpop Girl Group Of The Year 2021-Sportkeeda.com. The method used in this study is a quantitative exploratory method, the results of this study indicate that Blackpink is the first to rank and has the best credibility for the performance of the youtube channel.

Identity Based Online Hate Content- Empirical Analysis

2021 ◽  
Vol 11 (4) ◽  
pp. 0-0
Keyword(s):  
Social Media ◽  
Open Source Software ◽  
Structural Model ◽  
Comprehensive Analysis ◽  
The Internet ◽  
Path Modeling ◽  
Measurement Models ◽  
Internet Users ◽  
Identity Based

The content which is expressed over the internet and its associated social media based on any of the protected characteristics like gender, religion, race, and disability is referred to online hate content. This article aims to examine the user responses on online hate content and determine the predictors of on online hate content. With an objective to identify the determinants of online hate content, the data has been collected from 716 internet users using research instrument designed for the purpose. Both online and offline modes are used for collecting the data. A comprehensive analysis is made using partial least squares path modeling (PLS-PM) package from an open-source software R. The analysis of structural model revealed that the attitude and opinions towards different protected characteristics such as gender, religion, race and disability are influencers of online hate content. Further, the analysis of measurement models revealed the role of measuring indicators.

THE RELEVANCE PEOPLE ASSIGN TO ALGORITHMIC-SELECTION APPLICATIONS IN EVERYDAY LIFE

2020 ◽  
Author(s):  
Michael V. Reiss ◽  
Noemi Festic ◽  
Michael Latzer ◽  
Tanja Rüedy
Keyword(s):  
Social Media ◽  
Everyday Life ◽  
Online Survey ◽  
Social Impact ◽  
Social Orientation ◽  
Life Domains ◽  
Social Relevance ◽  
Public Attention ◽  
Internet Users ◽  
The Social

The fast-growing academic and public attention to algorithmic-selection applications such as search engines and social media is indicative of their alleged great social relevance and impact on daily life in digital societies. To substantiate these claims, this paper investigates the hitherto little explored subjective relevance that Internet users assign to algorithmic-selection applications in everyday life. A representative online survey of Internet users comparatively reveals the relevance that users ascribe to algorithmic-selection applications and to their online and offline alternatives in five selected life domains: political and social orientation, entertainment, commercial transactions, socializing and health. The results show that people assign a relatively low relevance to algorithmic-selection applications compared to offline alternatives across the five life domains. In particular social media are found to be of relatively low assigned relevance for all life domains investigated. The findings vary greatly by age and education. Altogether, such outcomes complement and qualify assessments of the social impact of algorithms that are primarily and often solely based on usage data and theoretical considerations.

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