scholarly journals User generated content for enhanced professional productions: a mobile application for content contributors and a study on the factors influencing their satisfaction and loyalty

2021 ◽  
Author(s):  
Stavroula Ntoa ◽  
George Margetis ◽  
Fiona Rivera ◽  
Michael Evans ◽  
Ilia Adami ◽  
...  
Keyword(s):  
Social Media ◽  
Mobile Application ◽  
User Generated Content ◽  
Technological Evolution ◽  
Factors Influencing ◽  
Important Concern ◽  
Increasing Demand ◽  
Viewing Experience

AbstractMotivated by a combination of social media, technological evolution, as well as new habits and preferences of TV content consumers, there is an increasing demand for enhancement of professional productions with user generated content. Studies have explored the potential and feasibility of this approach, indicating that footage from non-professionals can be effectively used to enrich the viewing experience. However, an important concern is whether such efforts are appealing to potential contributors, and what can actually impact their satisfaction and loyalty. Aiming to investigate these factors, this paper presents a mobile application for content contributors and a study involving 38 attendees of live events, using the application in the field. The events were hosted in two different countries, and transmitted by two well-known broadcasters. The results suggest that age, gender, technological expertise, and overall sharing attitude do not affect the satisfaction and loyalty of contributors. The differentiating factors, however, are the filming confidence and expertise of contributors, as well as the Wi-Fi/4G connectivity on-site. Implications of these findings are discussed and recommendations for similar endeavors are provided.

THE INFLUENCE OF TRANSCENDENTAL VALUE AS AN EFFORT OF ONLINE TRANSACTION LEGAL PROTECTION IN THE ERA OF DIGITAL ECONOMY

2019 ◽  
Vol 3 (1) ◽  
pp. 13
Author(s):  
Rizka Rizka
Keyword(s):  
Social Media ◽  
Industrial Revolution ◽  
Legal Protection ◽  
Human Beings ◽  
Business Opportunity ◽  
Online Transactions ◽  
Consumer Rights ◽  
Increasing Demand ◽  
Consumptive Behavior ◽  
Online Shops

The digitalization of the economy sector in the industrial revolution 4.0 needs to be approached with a smart attitude so as to not bring loss to both the consumers and the business holders, by transforming the instrument of consumer rights in an updated and a better way. The development of technology has spoiled human beings in all aspects, including in muamalah. like transaction. The society’s rapid consumptive behavior becomes a business opportunity for the investors to invest their capital in the field of trade, which is also rapidly developing. The increasing demand of consumptive products pushes the popularity of online transaction. There exist hundreds of online shops, either official shops or those undergoing transaction through social media. Anyone can be owners of online shops, and the consumers can be adults, teenagers, and even children. This condition causes some problems, such as the misuse of online transaction for deception, offering products which are not the same as the real items, or worse, not sending the products after the consumer has transferred the money. The results show that in online transactions, there are many dishonest sellers who legalize all methods to practice deception, so there needs to be a connection between online transaction and religion with the hope to minimize the chance of harm for both the consumers and the sellers.

Chinese Social Media Platforms and Microblogging in the Context of Public Diplomacy

Communicology ◽  
2020 ◽  
Vol 8 (1) ◽  
pp. 167-179
Author(s):  
E.S. Nadezhkina
Keyword(s):  
Social Media ◽  
Public Opinion ◽  
Public Diplomacy ◽  
User Generated Content ◽  
The Internet ◽  
Interactive Communication ◽  
Network Interaction ◽  
Social Media Platforms ◽  
The Right ◽  
Chinese Social Media

The term “digital public diplomacy” that appeared in the 21st century owes much to the emergence and development of the concept of Web 2.0 (interactive communication on the Internet). The principle of network interaction, in which the system becomes better with an increase in the number of users and the creation of user-generated content, made it possible to create social media platforms where news and entertainment content is created and moderated by the user. Such platforms have become an expression of the opinions of various groups of people in many countries of the world, including China. The Chinese segment of the Internet is “closed”, and many popular Western services are blocked in it. Studying the structure of Chinese social media platforms and microblogging, as well as analyzing targeted content is necessary to understand China’s public opinion, choose the right message channels and receive feedback for promoting the country’s public diplomacy. This paper reveals the main Chinese social media platforms and microblogging and provides the assessment of their popularity, as well as possibility of analyzing China’s public opinion based on “listening” to social media platforms and microblogging.

scholarly journals Travelers’ Responsible Environmental Behavior towards Sustainable Coastal Tourism: An Empirical Investigation on Social Media User-Generated Content

2020 ◽  
Vol 13 (1) ◽  
pp. 56 ◽  
Author(s):  
Mohammad Tipu Sultan ◽  
Farzana Sharmin ◽  
Alina Badulescu ◽  
Elena Stiubea ◽  
Ke Xue
Keyword(s):  
Social Media ◽  
Structural Equation ◽  
Environmental Behavior ◽  
Relevant Literature ◽  
User Generated Content ◽  
Equation Modeling ◽  
Environmental Concerns ◽  
Destination Marketing ◽  
Coastal Tourism ◽  
Responsible Environmental Behavior

There has been increasing interest in coastal tourism, sparking a debate on the responsible environmental behavior of travelers visiting sustainable destinations. To mitigate this issue, destination marketing organizations (DMOs) and environmental activists are trying to develop strategic approaches (i.e., by using digital technologies) to enhance the sustainable behavior of travelers. Environmental responsiveness and its impact on sustainable destinations is gaining attention by companies, scholars, and institutions. However, the relevant literature has not addressed social media user-generated content regarding sustainable destinations. Sharing stakeholder knowledge, activities, and experience on social media could accomplish this goal. Hence, this paper aims to explore travelers′ responsible environmental behavior towards coastal tourism within the social media user-generated content paradigm. To measure the effect of user-generated content (UGC), i.e., cognitive triggers and affective triggers, on the responsible environmental behavior of travelers, a survey questionnaire was used to collect data (n = 506) from the world’s longest sandy sea beach, Cox’s Bazar, located in the Southern part of Bangladesh. The data were examined by structural equation modeling (SEM). The results revealed that cognitive and affective triggers of user-generated content influence travelers’ environmental concerns and attitudes, making a significant contribution to shaping responsible environmental behavior. Additionally, the findings show that environmental concerns and attitudes play a significant role in producing commitment towards a sustainable coastal tourism practice. This study contributes to the effectiveness of user-generated content for persuasive interactions with destination marketing organizations to develop sustainable tourism practices.

scholarly journals Social Media Toxicity Classification Using Deep Learning: Real-World Application UK Brexit

Electronics ◽  
2021 ◽  
Vol 10 (11) ◽  
pp. 1332
Author(s):  
Hong Fan ◽  
Wu Du ◽  
Abdelghani Dahou ◽  
Ahmed A. Ewees ◽  
Dalia Yousri ◽  
...  
Keyword(s):  
Social Media ◽  
Hate Speech ◽  
Modern Society ◽  
User Generated Content ◽  
Real World Application ◽  
Proposed Model ◽  
Social Media Platforms ◽  
Public Dataset ◽  
The Uk ◽  
Harmful Side Effect

Social media has become an essential facet of modern society, wherein people share their opinions on a wide variety of topics. Social media is quickly becoming indispensable for a majority of people, and many cases of social media addiction have been documented. Social media platforms such as Twitter have demonstrated over the years the value they provide, such as connecting people from all over the world with different backgrounds. However, they have also shown harmful side effects that can have serious consequences. One such harmful side effect of social media is the immense toxicity that can be found in various discussions. The word toxic has become synonymous with online hate speech, internet trolling, and sometimes outrage culture. In this study, we build an efficient model to detect and classify toxicity in social media from user-generated content using the Bidirectional Encoder Representations from Transformers (BERT). The BERT pre-trained model and three of its variants has been fine-tuned on a well-known labeled toxic comment dataset, Kaggle public dataset (Toxic Comment Classification Challenge). Moreover, we test the proposed models with two datasets collected from Twitter from two different periods to detect toxicity in user-generated content (tweets) using hashtages belonging to the UK Brexit. The results showed that the proposed model can efficiently classify and analyze toxic tweets.

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