Understanding Transmedia Music on YouTube through Disney Storytelling

Transmedia storytelling has been integrated into contemporary society through social media, where influencers have enabled the building of worlds. Within this environment of human-interaction, fiction and converging social realities have become an essential tool to tell stories. On YouTube, storytelling has expanded to music, where cover videos take on great relevance. The aim of this study is to understand the transmedia music phenomenon due to the impact of music on the platform. To this end, we applied a methodology that stemmed from Grounded Theory principles in the analysis of 300 Disney animation song covers in three stages: (1) deductive and inductive codebook development; (2) social network analysis; and (3) statistical test. The results showed that youtubers highlight specific audiovisual codes from the film and cultural industries. Furthermore, we observed these productions often display configurations that expand the original story through performance, location, costumes, make-up, among others. We argue that, on the digital sphere, a sustainable transmedia music paradigm is developing, where performers construct more meaningful and valuable stories.

Download Full-text

Effects of content characteristics on stages of customer engagement in social media: investigating European wine brands

Journal of Research in Interactive Marketing ◽

10.1108/jrim-12-2020-0275 ◽

2021 ◽

Vol ahead-of-print (ahead-of-print) ◽

Author(s):

Aspasia Vlachvei ◽

Ourania Notta ◽

Eirini Koronaki

Keyword(s):

Social Media ◽

Data Analysis ◽

Panel Data ◽

Panel Data Analysis ◽

Customer Engagement ◽

Content Type ◽

Interactive Engagement ◽

Long Run ◽

Three Stages ◽

The Impact

PurposeThis study advances knowledge of interactive marketing strategies by examining the effect of different content types on the three stages of customer engagement (CE) in social media, namely, relationship formation, engagement creation and engagement contribution, for European wine brands.Design/methodology/approachBoth quantitative and qualitative content analyses are conducted; a panel data analysis validates the impact of content type on the three stages of CE in social media.FindingsThe results indicate that remunerative content is the most consistent and promising strategy for enhancing all three stages of CE in social media. Social content motivates consumers to interact with wine brands by commenting, which is the most demanding and time-consuming form of engagement.Practical implicationsThe empirical results offer valuable directions for managers and marketers of European wine brands on creating and maintaining optimal interactive engagement in all three stages with their Facebook communities over the long run.Originality/valueThis study is one of the first to empirically examine, through objective measurement, how content type affects the three stages of CE in social media. The case of European wine brands is examined, over time, through a panel data analysis.

Download Full-text

Social Media

Advances in Human and Social Aspects of Technology - Returning to Interpersonal Dialogue and Understanding Human Communication in the Digital Age ◽

10.4018/978-1-5225-4168-4.ch003 ◽

2019 ◽

pp. 47-68

Author(s):

Elham Mohammadi ◽

Azam Masoumi

Keyword(s):

Mental Health ◽

Social Media ◽

Human Interaction ◽

Face To Face ◽

The Impact ◽

Two Sides ◽

Modern Technologies

This chapter examines the path of human interaction by using modern technologies. There are two sides: those in favor of using modern technologies and those who argue that modern technologies have unwanted, detrimental effects on people's lives and health. This chapter explores virtual communication's properties. It focuses on the impact that using social media instead of face-to-face interaction has on the users' health, specifically mental health. In this viewpoint, social media is not an alternative to face-to-face interaction but a complementary device that reminds us the vitality of interaction even with those who are physically unavailable to us.

Download Full-text

Local Accommodation Establishments' Strategies in Social Media

Handbook of Research on Social Media Applications for the Tourism and Hospitality Sector - Advances in Hospitality, Tourism, and the Services Industry ◽

10.4018/978-1-7998-1947-9.ch019 ◽

2020 ◽

pp. 334-348

Author(s):

Rui Costa ◽

Gorete Dinis ◽

Raquel Seabra

Keyword(s):

Social Media ◽

Digital Technologies ◽

Contemporary Society ◽

New Paradigm ◽

Economic Sectors ◽

Tourist Destinations ◽

Digital World ◽

Tourism Sector ◽

Essential Function ◽

The Impact

Tourism is a phenomenon of contemporary society, being one of the economic sectors where information has an essential function and where the impact of social media had more evidence. Digital technologies are increasingly present in life and have radically changed the way people think, make decisions and interact. Consumers are more demanding and informed, supporting their buying decisions in the online world. These changes also have implications in the tourism sector and in the promotion of tourist destinations. Given this new paradigm, the local accommodation units, as the most recent accommodation modality, have registered a remarkable growth and due to the characteristics of the activity itself, have to accompany and adapt to this new reality. The present work intends to analyze how Local Accommodation units in Aveiro use the Internet, and in particular the applications of social media in their communication strategies, as well as the importance they give to this reality of the digital world.

Download Full-text

New explainability method for BERT-based model in fake news detection

Scientific Reports ◽

10.1038/s41598-021-03100-6 ◽

2021 ◽

Vol 11 (1) ◽

Author(s):

Mateusz Szczepański ◽

Marek Pawlicki ◽

Rafał Kozik ◽

Michał Choraś

Keyword(s):

Artificial Intelligence ◽

Social Media ◽

Language Processing ◽

High Performance ◽

Real Life ◽

Contemporary Society ◽

Fake News ◽

Interpretable Model ◽

Deep Integration ◽

The Impact

AbstractThe ubiquity of social media and their deep integration in the contemporary society has granted new ways to interact, exchange information, form groups, or earn money—all on a scale never seen before. Those possibilities paired with the widespread popularity contribute to the level of impact that social media display. Unfortunately, the benefits brought by them come at a cost. Social Media can be employed by various entities to spread disinformation—so called ‘Fake News’, either to make a profit or influence the behaviour of the society. To reduce the impact and spread of Fake News, a diverse array of countermeasures were devised. These include linguistic-based approaches, which often utilise Natural Language Processing (NLP) and Deep Learning (DL). However, as the latest advancements in the Artificial Intelligence (AI) domain show, the model’s high performance is no longer enough. The explainability of the system’s decision is equally crucial in real-life scenarios. Therefore, the objective of this paper is to present a novel explainability approach in BERT-based fake news detectors. This approach does not require extensive changes to the system and can be attached as an extension for operating detectors. For this purposes, two Explainable Artificial Intelligence (xAI) techniques, Local Interpretable Model-Agnostic Explanations (LIME) and Anchors, will be used and evaluated on fake news data, i.e., short pieces of text forming tweets or headlines. This focus of this paper is on the explainability approach for fake news detectors, as the detectors themselves were part of previous works of the authors.

Download Full-text

The impact of social media on human interaction in an organisation based on real-time social media data

International Journal of Data Science ◽

10.1504/ijds.2019.102793 ◽

2019 ◽

Vol 4 (3) ◽

pp. 260

Author(s):

Sharifah Sakinah Syed Ahmad ◽

Anis Naseerah Binti Shaik Osman ◽

Halizah Basiron

Keyword(s):

Social Media ◽

Real Time ◽

Human Interaction ◽

Social Media Data ◽

The Impact ◽

Media Data

Download Full-text

Development of Novel Classifying System to Identify the Right Sense of Audio Conversation in Social Networks using Deep Convolution Neural Network

International Journal of Recent Technology and Engineering - 2 ◽

10.35940/ijrte.b1099.0782s619 ◽

2019 ◽

Vol 8 (2S6) ◽

pp. 522-525

Keyword(s):

Machine Learning ◽

Social Networks ◽

Social Media ◽

Learning Strategies ◽

Human Interaction ◽

Training Data ◽

Deep Convolutional Neural Networks ◽

Use Of Social Media ◽

The Right ◽

The Impact

Social media has paved a new way for communication and interacting with others. The use of social media differs according to the socio-cultural, demographic and psychological aspects of individuals. People chat, share ideas and visual material, and feel that they satisfy their needs of belonging along with the groups they have joined. Social networks is not only a area of freedom where persons express themselves openly or furtively, but also an area where several ways of violence emerge or even a means used for some aspects of violence.. The present research throws light on a few of the regular and trendy methods of abuse and risks faced by the users of social media. Develop a system to identify abusing audio file by an individual on a people/ group based on common language, race, sexual preferences, religion, or nationality. We examine a new model from machine learning, namely deep machine learning by probing design configurations of deep Convolutional Neural Networks (CNN) and the impact of different hyper-parameter settings in identifying the negative aspects in social media. Deep CNN automatically generate powerful features by hierarchical learning strategies from massive amounts of training data with a minimum of human interaction or expert process knowledge. An application of the proposed method demonstrates excellent results with low false alarm rates for Twitter data

Download Full-text

The impact of social media on human interaction in an organisation based on real-time social media data

International Journal of Data Science ◽

10.1504/ijds.2019.10024379 ◽

2019 ◽

Vol 4 (3) ◽

pp. 260

Author(s):

Halizah Basiron ◽

Sharifah Sakinah Syed Ahmad ◽

Anis Naseerah Binti Shaik Osman

Keyword(s):

Social Media ◽

Real Time ◽

Human Interaction ◽

Social Media Data ◽

The Impact ◽

Media Data

Download Full-text

The Rite of Passage and Digital Mourning in Fang Fang’s Wuhan Diary

Global Media and China ◽

10.1177/20594364211041683 ◽

2021 ◽

pp. 205943642110416

Author(s):

Thomas William Whyke ◽

Joaquin Lopez-Mugica ◽

Zhen T. Chen

Keyword(s):

Social Media ◽

Chinese Culture ◽

Traumatic Experiences ◽

Chinese Government ◽

Rite Of Passage ◽

Media Platform ◽

Three Stages ◽

Personal Accounts ◽

The Impact ◽

Chinese Social Media

Using Van Gennep’s theory of Rite of Passage as its framework, this article examines the impact of Coronavirus (COVID-19) on Chinese culture as depicted through death and mourning in Wang Fang’s (penname Fang Fang) recently published Wuhan Diary: Dispatches from a Quarantined City. As part of the efforts to control the outbreak, the Chinese government took over the managing of the deceased, which triggered heated discussions on Chinese social media. Fang Fang’s diary, originally written as daily entries on Chinese social media platform Weibo, serves as a voice for those suffering during the pandemic, mediating between personal accounts, accounts of friends, family and those living in Wuhan during the pandemic. These flesh out how the virus has not only been disturbing for Chinese people’s lives but also disrupted the death rites and mourning rituals for those who have passed. Our article infuses a digital ontological reading with an anthropological twist that helps to understand how the diary mitigates the disturbances to mourning rituals inside and outside the confines of digital metaphysics. We argue that the digital diary mitigates these disruptions by allowing Chinese people to nourish their sorrow by identifying with the symbolic rites of passage and mourning rituals online at the heart of the COVID-19 pandemic in Wuhan. In doing so, this article examines three stages of rite of passage, including separation, liminality and integration as they unfold in the diary, through which discourses and subjectivities based on collective and individual traumatic experiences are built, as a form of digital mourning that could reconcile both the official and the alternative voices of anonymous narratives about the handling of this crisis.

Download Full-text