Neural Networks for Digital Media Analysis and Description

2013 ◽  
pp. 1-11
Author(s):  
Anastasios Tefas ◽  
Alexandros Iosifidis ◽  
Ioannis Pitas
Keyword(s):  
Neural Networks ◽  
Digital Media ◽  
Media Analysis

scholarly journals ‘Wife, Mommy, Pastor and Friend’: The Rise of Female Evangelical Microcelebrities

Religions ◽  
2021 ◽  
Vol 12 (9) ◽  
pp. 758
Author(s):  
Katie Christine Gaddini
Keyword(s):  
Social Media ◽  
Digital Media ◽  
Media Analysis ◽  
Media Content ◽  
Religious Authority ◽  
Social Media Analysis ◽  
The Social ◽  
Prosperity Theology ◽  
Evangelical Women ◽  
Ethnographic Data

The popularity of digital media has spurred what has been called a “crisis of authority”. How do female evangelical microcelebrities figure in this crisis? Many of these women belong to churches led by male pastors, have amassed a large following online, and are sought-after speakers and teachers. This paper analyses how gender, religious authority, and the digital sphere collide through the rise of female evangelical microcelebrities. Bringing together ethnographic data, textual analysis, and social media analysis of six prominent women, I emphasize the power of representation to impact religious practices and religious meaning. This article examines how evangelical women are performing and negotiating their legitimacy as the Internet and fluid geographical boundaries challenge local models of religious authority. Moving away from a binary perspective of “having” or “not having” authority, this paper considers the various spheres of authority that evangelical microcelebrities occupy, including normative womanhood, prosperity theology, and politics. Finally, by examining the social media content put forth by female evangelical microcelebrities, I interrogate the political stakes of evangelical women’s authority.

scholarly journals Social representations of marketing work: advertising workers and social media

2019 ◽  
Vol 53 (5) ◽  
pp. 830-847 ◽  
Author(s):  
Robert Cluley ◽  
William Green
Keyword(s):  
Social Media ◽  
Representation Theory ◽  
Digital Media ◽  
Social Representations ◽  
Media Analysis ◽  
Social Representation ◽  
Data Set ◽  
Content Type ◽  
Marketing Managers ◽  
Social Representation Theory

Purpose Informed by social representation theory, the study aims to explore how marketing workers represent their activities on social media. Design/methodology/approach A naturalistic data set of 17,553 messages posted on Twitter by advertising workers was collected. A sample of over 1,000 unique messages from this data set, incorporating all external links and images, was analysed inductively using structured thematic analysis. Findings Advertising workers represent marketing work as a series of fun yet constrained activities involving relationships with clients and colleagues. They engage in cognitive polyphasia by evaluating these productive differences in both a positive and negative light. Research limitations/implications The study marks a novel use of social representation theory and innovative social media analysis. Further research should explore these relations in greater depth by considering the networks that marketing workers create on social media and establish how, when and why marketing workers turn to social media in their everyday activities. Practical implications Marketing workers choose to represent aspects of their work to one another, using social media. Marketing managers should support such activities and consider social media as a way to understand the lives and experiences of marketing workers. Originality/value Marketing researchers have embraced digital media as a route to understanding consumers. This study demonstrates the value of analysing digital media to develop an understanding of marketing work. It sheds new light on the ways marketing workers create social relationships and enables marketing managers to understand and observe the social aspects of effective marketing.

scholarly journals Penerapan dan Analisis Digital Marketing pada Produk Fashion

2021 ◽  
Vol 7 (2) ◽  
Author(s):  
Sylvia Princesa ◽  
Yenni Merlin Djajalaksana
Keyword(s):  
Social Media ◽  
Marketing Strategy ◽  
Digital Media ◽  
Media Analysis ◽  
Digital Marketing ◽  
Social Media Analysis ◽  
Fashion Products ◽  
Digital Era ◽  
Fashion Brand

In the current digital era, digital marketing is a marketing strategy using digital media to reach customers quickly and widely. About She is a fashion brand located in Bandung that tries to do digital marketing to promote fashion products through social media and websites. We can see website performance with Google Analytics, as well as social media analysis through Instagram Insight and Facebook Insight.

scholarly journals Using Critical Media Literacy to support English Language Teaching and Practice

2019 ◽  
Vol 1 (1) ◽  
Author(s):  
Peter Westman
Keyword(s):  
Digital Media ◽  
Media Literacy ◽  
Teaching And Learning ◽  
English Language ◽  
Cultural Practices ◽  
Language Teaching ◽  
Further Education ◽  
Media Analysis ◽  
English Language Teaching ◽  
Target Language

Digital media can convey a tremendous amount of linguistic information about discourse patterns and grammatical structures as well as clues about social interaction and values in particular communities. Language students that develop their media literacy skills not only develop useful skills of communication and inquiry, but also enhance their understanding of social and cultural practices which can improve their access to the target language community. Students will often bring with them to the classroom their previous experiences of making meanings using digital tools and in digital environments, so there is a clear need for literacy provision to be better aligned with their practices in everyday life. This paper describes and discusses the outcomes of two different media literacy educational initiatives with ESOL learners at a further education (FE) college in the United Kingdom and university students in Italy. This paper will discuss how activities such as media analysis, curation, and production can be used to enhance English Language teaching and learning. It explains the rationale for focusing on media literacy in the language classroom and how these types of pedagogic activities can contribute to the development of emergent and productive ‘Third Spaces’ (Bhabha, 1994) for learners in different settings.

scholarly journals Critical Incident Analysis and the Semiosphere: The Curious Case of the Spitting Butterfly

2011 ◽  
Vol 17 (2) ◽  
Author(s):  
Bob Hodge ◽  
Ingrid Matthews
Keyword(s):  
Digital Media ◽  
Critical Incident ◽  
Separation Of Powers ◽  
New South ◽  
Media Analysis ◽  
The Body ◽  
Host Society ◽  
South Wales ◽  
Legislative Amendments ◽  
Incident Analysis

In January 2007, media outlets across Australia reported the local court decision Police v Rose. Mr Rose pleaded guilty and the presiding magistrate recorded no conviction. This event sparked a ‘butterfly effect’ that culminated in legislative amendments changing the make-up of the body responsible for oversight of judges in New South Wales. Key players failed to observe the doctrine of the separation of powers; while others called for its observation.   None of this would have been foreseeable to Mr Rose or the two transit officers on the night he was detained. This paper uses complexity theory and digital media analysis to locate flashpoints around which critical incidents occur; and what the unexpected flow-on effects reveal about the host society.

scholarly journals FEATURES OF SENTIMENT ANALYSIS IMPLEMENTATION (INTERPRETATION OF SARCASM, WORD AMBIGUITY, NEGATION, AND MULTIPOLARITY)

2020 ◽  
Vol 11 (87) ◽  
Author(s):  
Olena Levchenko ◽  
◽  
Nataliia Povoroznik ◽  
Keyword(s):  
Neural Networks ◽  
Social Media ◽  
Natural Language Processing ◽  
Natural Language ◽  
Sentiment Analysis ◽  
Language Processing ◽  
Short Term Memory ◽  
Media Analysis ◽  
Support Vector ◽  
Technical Problems

In the past decades, sentiment analysis has become one of the most active research areas in natural language processing, data mining, web mining, and information retrieval. The great demand in everyday life and the factor of novelty coupled with the availability of data from social networks have served as strong motivation for research on sentiment-analysis. A number of technical problems, most of which had not been attempted before, either in the NLP or linguistics communities have also generated strong research interests in academia. Sentiment analysis, also called opin-ion mining, is the field of study that analyzes people’s opinions, sentiments, apprais-als, attitudes, and emotions toward entities and their attributes expressed in written text. The entities can be products, services, organizations, individuals, events, issues, or topics. The field represents a large problem space. It improves not only the field of natural language processing but also management, political science, economics, and sociology because all these areas are related to the thoughts of consumers and public. User-generated content is full of opinions, because the main reason why people post messages on social media platforms is to express their views and opinions, and therefore sentiment analysis is at the centre of social media analysis. It turned out that user messages often contain plenty of sarcastic expressions and ambiguous words. Within one opinion both positive and negative sentiments can be present. This also applies to negative particles, which do not always indicate a negative tone. This article investigates four challenges faced by researchers while conducting sentiment analysis, namely: sarcasm, negation, word ambiguity, and multipolarity. These aspects significantly affect the accuracy of the results when we determine a sentiment. Modern approaches to solving the problem are also covered. These are mainly machine learning methods, such as convolutional neural networks (CNN), deep neural networks (DNN), long short-term memory (LTSM), recurrent neural network (RNN), support vector machines (SVM), etc.

scholarly journals Wacana Pertobatan Muslim Indonesia di Media Digital

2019 ◽  
Vol 7 (2) ◽  
pp. 64-72
Author(s):  
Ahmad Zamzamy
Keyword(s):  
Young People ◽  
Data Collection ◽  
Digital Media ◽  
General Public ◽  
Media Analysis ◽  
The State ◽  
Media Industry ◽  
The Media

Nowadays, the phenomenon of Hijrah that occurs in digital media. This phenomenon of Hijrah is more widely covered and broadcast by artists and young people. The word “Hijrah” is more often echoed than the word repentance, especially in digital media. Therefore, the question arises of why the discourse of repentance is not used and how the position of the word repentance in digital media. This article is to study “Hijrah”, a word or language that is chosen and used and what it's content. Repentance in this writing only focuses on the scope of Indonesian Muslim circles. Method of this research using discourse media analysis with Foucault's approach. The data collection uses documentation, literature studies, and observations. The results reveal that the word repentance is still used with real understanding. Then came the word Hijrah whose meaning was almost equalized and could be confused with the meaning of the word repentance. The word Hijrah is becoming more popularly used than the word repentance. The word Hijrah appears with a load of interests and is inseparable from power. The choice of the word repentance or the word Hijrah depends on who the user is. Examples of users are from the state or government, the media, industry, the general public, and Islamic groups. Finally, the word Hijrah is more often used than the word repentance in digital media until now.

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