scholarly journals Doktrin Safe Harbor: Upaya Perlindungan Hak Cipta Konten Dalam Platform User Generated Content

2020 ◽  
Vol 12 (2) ◽  
pp. 267
Author(s):  
Syarafina Ramadhanty ◽  
Naila Amatullah ◽  
Niki Anane Setyadani ◽  
Tasya Safiranita Ramli
Keyword(s):  
Social Media ◽  
Rapid Development ◽  
Legal Protection ◽  
Copyright Law ◽  
User Generated Content ◽  
Safe Harbor ◽  
Main Research ◽  
Promotion System ◽  
Human Creativity ◽  
Social Media Platforms

Along with the rapid development of technology, social media platforms can be used to sharpen human creativity by uploading opinions, images, videos, sounds and so on as a form of user copyright. A digital platform that actively invites its users to upload copyrighted content is called the User Generated Content Platform ("UGC"). UGC's social media accounts are vying to be judged viral, so few accounts are 'stealing' content instead of his work in order to gain that reputation. Furthermore, the account is used commercially using a paid promote system or paid promotional services. This phenomenon often occurs on Instagram platforms with paid promotional systems that take Twitter content without permission. The purpose of this writing is to know the legal protection in the content of Twitter's UGC platform which is re-uploaded and monetized with a paid promotion system without rights on Instagram by Indonesian copyright law. Furthermore, the author carries the idea of providing protection to the UGC platform by applying the safeharbor doctrine in the event of copyright infringement by users of the platform. In reviewing this study, the authors used normative juridical approach methods, by examining literature as the main research material. The results of this study found that Twitter's re-uploaded and monetized User Generated Content platform content with a paid promotion system on Instagram has been protected by Indonesian copyright law in accordance with Law No. 28 of 2014 on Copyright reaffirmed in accordance with the safe Harbor doctrine contained in the Circular of the Minister of Communication and Informatics No. 5 of 201 on Restrictions on Responsibility of Platform Providers and Merchants of Electronic Commerce in the form of UGC.

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 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.

scholarly journals The Implementation of Knowledge Management Based On Web 2.0 on Social News Site Hipwee

2019 ◽  
Vol 4 (1) ◽  
pp. 61
Author(s):  
Mufida Cahyani
Keyword(s):  
Social Media ◽  
Knowledge Management ◽  
Web 2.0 ◽  
Network Effects ◽  
Content Management ◽  
User Participation ◽  
Online News ◽  
User Generated Content ◽  
Organizational Participation ◽  
Social Media Platforms

The emergence of various kinds of social media applications does not only affect the way people communicate, but also penetrates into the realm of online mass media. Social media platforms that carry the concept of web 2.0 namely user generated content and network effects make it easy for a news to become viral in a short time, regardless of the validity and accuracy of the news. Web 2.0 itself is a direct application of the concept of Knowledge Management (KM) which emphasizes collaboration and user participation, but in a broader domain, it is slightly different from KM which emphasizes internal organizational participation. Hipwee as one of the social media-based online news sites applies both concepts to its content management. The purpose of this study was to analyze the extent of the application of KM in relation to Web 2.0. The method used to explore data through interviews with Hipwee managers and direct observation to the office location and also the Hipwee site. The results obtained are that the adaptation of the KM concept has not been applied to Web 2.0 on the Hipwee site, namely the concept of data mining, while the Web 2.0 concept has been applied to KM, namely unbounded collaboration, user generated content and network effects.

How Does Firm- and User-Generated Content Benefit Firms and Affect Consumers?

2020 ◽  
pp. 97-120
Author(s):  
Niray Tunçel ◽  
Nihan Yılmaz
Keyword(s):  
Social Media ◽  
Consumer Behavior ◽  
Theoretical Framework ◽  
User Generated Content ◽  
Specific Effects ◽  
Interactive Nature ◽  
Social Media Platforms ◽  
New Form ◽  
Media Channels ◽  
Practical Implications

Social media marketing is a new form of communication between firms and consumers. The interactive nature of social media platforms enables consumers to share their perceptions about firms by creating their own content in various forms. Besides, firms are able to attract and engage with consumers through creating effective content on their social media channels. Both user-generated content (UGC) and firm-generated content (FGC) have a significant role in firm performance and consumer behavior. However, the previous studies have mostly focused on the effects of UGC and addressed the issue from the consumer side. Therefore, as distinct from existing studies, the study at hand addresses the specific effects and benefits of UGC and FGC from both the firm and consumer sides, within a theoretical framework. In addition, based on the findings of the reviewed studies, the chapter presents some practical implications for business.

scholarly journals Social media content and product co-creation: an emerging paradigm

2016 ◽  
Vol 29 (1) ◽  
pp. 7-18 ◽  
Author(s):  
Ashish K. Rathore ◽  
P. Vigneswara Ilavarasan ◽  
Yogesh K. Dwivedi
Keyword(s):  
Social Media ◽  
Product Development ◽  
Product Design ◽  
User Generated Content ◽  
Product Development Process ◽  
Customer Engagement ◽  
Media Content ◽  
Content Type ◽  
Social Media Platforms ◽  
Product Design Process

Purpose – The purpose of this paper is to conceptualise and discuss the possible insights that can be generated for product development by analysing the user-generated content available from various social media platforms. Design/methodology/approach – The paper reviews the role of user generated content in developing products and its features (e.g. appearance and shape). It delineates the directions in which the relationship between social media content and customer oriented concepts evolve while developing successful new products. Findings – The review and arguments presented in this paper suggest that the social media approach adds more value than the traditional approaches for obtaining insights about the products. Availability of users’ opinions and information about existing products provide insights for the improvement in the product design process. Co-creation and self-construal are important components that are based on customer engagement and customer behaviour, respectively, in the product design and development. Practical implications – As social media creates new ways of communication with users, businesses can include users into the product development process to improve and refine their products or for making the next generation of products. Originality/value – This paper suggests a new approach in getting useful insights about the products from user-generated contents. This way of using social media helps businesses to move forward from the traditional product development paradigms.

scholarly journals A Framework for Interrogating Social Media Images to Reveal an Emergent Archive of War

2019 ◽  
Vol 13 (1-2) ◽  
pp. 196-222 ◽  
Author(s):  
Arijus Pleska ◽  
Andrew Hoskins ◽  
Karen Renaud
Keyword(s):  
Social Media ◽  
Digital Media ◽  
Rapid Development ◽  
Visual Representations ◽  
Visual Image ◽  
Media Images ◽  
The Past ◽  
The Social ◽  
Social Media Platforms ◽  
Identification Techniques

The visual image has long been central to how war is seen, contested and legitimised, remembered and forgotten. Archives are pivotal to these ends as is their ownership and access, from state and other official repositories through to the countless photographs scattered and hidden from a collective understanding of what war looks like in individual collections and dusty attics. With the advent and rapid development of social media, however, the amateur and the professional, the illicit and the sanctioned, the personal and the official, and the past and the present, all seem to inhabit the same connected and chaotic space. However, to even begin to render intelligible the complexity, scale and volume of what war looks like in social media archives is a considerable task, given the limitations of any traditional human-based method of collection and analysis. We thus propose the production of a series of ‘snapshots’, using computer-aided extraction and identification techniques to try to offer an experimental way in to conceiving a new imaginary of war. We were particularly interested in testing to see if twentieth century wars, obviously initially captured via pre-digital means, had become more ‘settled’ over time in terms of their remediated presence today through their visual representations and connections on social media, compared with wars fought in digital media ecologies (i.e. those fought and initially represented amidst the volume and pervasiveness of social media images). To this end, we developed a framework for automatically extracting and analysing war images that appear in social media, using both the features of the images themselves, and the text and metadata associated with each image. The framework utilises a workflow comprising four core stages: (1) information retrieval, (2) data pre-processing, (3) feature extraction, and (4) machine learning. Our corpus was drawn from the social media platforms Facebook and Flickr.

scholarly journals Computers can’t give credit: How automatic attribution falls short in an online remixing community

2017 ◽  
Author(s):  
Andrés Monroy-Hernández ◽  
Jazmin Gonzalez-Rivero ◽  
danah boyd ◽  
Benjamin Mako Hill
Keyword(s):  
Social Media ◽  
Online Community ◽  
User Generated Content ◽  
Technological Systems ◽  
Structured Interviews ◽  
Social Media Platforms ◽  
Media Platform ◽  
The Subject ◽  
Using Data ◽  
Content Reuse

In this paper, we explore the role that attribution plays in shaping user reactions to content reuse, or remixing, in a large user-generated content community. We present two studies using data from the Scratch online community – a social media platform where hundreds of thousands of young people share and remix animations and video games. First, we present a quantitative analysis that examines the ef- fects of a technological design intervention introducing au- tomated attribution of remixes on users’ reactions to being remixed. We compare this analysis to a parallel examination of “manual” credit-giving. Second, we present a qualita- tive analysis of twelve in-depth, semi-structured, interviews with Scratch participants on the subject of remixing and at- tribution. Results from both studies suggest that automatic attribution done by technological systems (i.e., the listing of names of contributors) plays a role that is distinct from, and less valuable than, credit which may superficially involve identical information but takes on new meaning when it is given by a human remixer. We discuss the implications of these findings for the designers of online communities and social media platforms.

Review of Sentiment Detection

2019 ◽  
Vol 11 (1) ◽  
pp. 44-53
Author(s):  
Smiley Gupta ◽  
Jagtar Singh
Keyword(s):  
Social Media ◽  
Comparative Analysis ◽  
Sentiment Analysis ◽  
Large Volume ◽  
User Generated Content ◽  
Automated System ◽  
Social Media Platforms ◽  
Sentiment Detection

A large volume of user-generated data is evolving on a day-to-day basis, especially on social media platforms like Twitter, where people express their opinions and emotions regarding certain individuals or entities. This user-generated content becomes very difficult to analyze manually and therefore requires a need for an intelligent automated system which mines the opinions and organizes them using polarity metrics, representing the process of sentiment analysis. The motive of this review is to study the concept of sentiment analysis and discuss the comparative analysis of its techniques along with the challenges in this field to be considered for future enhancement.

Potential Power and Problems in Sentiment Mining of Social Media

2013 ◽  
Vol 4 (2) ◽  
pp. 16-26 ◽  
Author(s):  
John Wang ◽  
Qiannong Gu ◽  
Gang Wang
Keyword(s):  
Social Media ◽  
Web 2.0 ◽  
User Generated Content ◽  
Relative Degree ◽  
Web 2.0 Technologies ◽  
The Social ◽  
Sentiment Mining ◽  
The Future ◽  
Social Media Platforms ◽  
Infinite Array

Sentiment mining research has experienced an explosive growth in awareness and demand as Web 2.0 technologies have paved the way for a surge of social media platforms that have significantly and rapidly increased the availability of user generated opinioned text. The power of opinions has long been known and is beginning to be tapped to a fuller potential through sentiment mining research. Social media sites have become a paradise for sentiment providing endless streams of opinioned text encompassing an infinite array of topics. With the potential to predict outcomes with a relative degree of accuracy, sentiment mining has become a hot topic not only to researchers, but to corporations as well. As the social media user base continues to expand and as researchers compete to fulfill the demand for sentiment analytic tools to sift through the endless stream of user generated content, the growth of sentiment mining of social media will continue well into the future with an emphasis on improved reliability, accuracy, and automation.

scholarly journals Undisciplined Performativity: A Sociological Approach to Anonymity

2019 ◽  
Vol 5 (1) ◽  
pp. 205630511982984
Author(s):  
Abigail E. Curlew
Keyword(s):  
Social Media ◽  
Mobile Applications ◽  
User Generated Content ◽  
Structured Interviews ◽  
Surveillance Studies ◽  
Sociological Approach ◽  
The Social ◽  
Yik Yak ◽  
Social Media Platforms ◽  
Media Platform

Anonymous social media platforms comprise sprawling publics where users, untethered from their legal identity, interact with other anonymous users to share and read user-generated content. The emergence of mobile applications that promise anonymity as a primary feature has led to novel social configurations that have so far been understudied. This article is an empirical and theoretical attempt to understand the ways in which anonymous social media have altered the social through performative, digital acts mediated through a community of anonymous users. I do this through two main propositions: first, that practices of anonymity mediated through a social media platform comprise discrete performative acts of identity due to a process of dissociability, and second, that those dissociated performative acts become undisciplined. To address these propositions, I have drawn from 12 semi-structured interviews of undergraduate and graduate students at Queen’s University who were avid users of Yik Yak to explore the sociology of anonymity, surveillance, and identity. The findings are discussed in relation to theories of performativity and discipline that have been commonly deployed in media and surveillance studies.

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