scholarly journals Analisis Video Comments To Video Views Ratio Tiktok Pada 5 Brand Hp Terlaris Di Indonesia Versi Canalys

2021 ◽  
Author(s):  
Rizky Andita
Keyword(s):  
Social Media ◽  
Social Network ◽  
Music Video ◽  
Business People ◽  
Chinese Music

Social media is a new place for business people to market their products or do marketing. The TikTok application is a social network and Chinese music video platform launched in September 2016. Tiktok is also a social media application that displays short videos and can be arranged in such a way, where Tiktok is currently being popularly used by various groups of people. Because the TikTok marketing market is considered promising, not a few well-known brands or vendors are trying to do marketing through TikTok, including the following smartphone brand vendors: Vivo, Oppo, Samsung, Realme and Xiaomi. The purpose of this study is to determine the credibility of the performance of the Canalys version of the 5 Best Selling HP Brand TikTok accounts in Indonesia using Video Comments to Video Views Ratio. The method used in this study is a quantitative exploratory method. The results of this study show that the Xiaomi Indonesia brand gets the highest rating and has the best account performance credibility compared to other brands or vendors.

THE MECHANISM OF LINKAGES BETWEEN ONLINE COMMUNITY PARTICIPATION AND FESTIVAL ATTENDANCE – A CASE STUDY OF A CHINESE MUSIC FESTIVAL

2020 ◽  
Author(s):  
Weng Si (Clara) Lei ◽  
Chun Chen (Claudia) Li
Keyword(s):  
Social Media ◽  
Social Network ◽  
Online Community ◽  
Online Social Network ◽  
Structured Interviews ◽  
New Members ◽  
Music Festival ◽  
Chinese Music ◽  
Online Music ◽  
Participation Motives

Online social network participation, and its impacts on festival attendees’ motivation, have been investigated in previous studies. However, the results have been inconclusive. Social network participation motives have also been researched but have mostly been limited to Facebook and other social media from the West. Social media participation motives in the East, for example in China, and its causes and effects on music festival attendance have remained underexplored. This study adopted a qualitative approach, using semi-structured interviews and netnography to empirically examine the connection between online social network participation and music festival attendance. Data collection included using netnography to explore a music festival social network chat group (online community) and then conducting in-depth interviews with festival attendees who were active members of the online community. The study sheds new light on festival attendees’ motives for online social network participation, a plausible mechanism and model to explain how an online music festival community sustains and connects its old and new members.

Emotive Trending And Tracking of Tweets

2017 ◽  
Vol 7 (11) ◽  
pp. 25
Author(s):  
Sanjay Chhataru Gupta
Keyword(s):  
Social Networks ◽  
Social Media ◽  
Social Network ◽  
The Social ◽  
The World ◽  
Complex Events

Popularity of the social media and the amount of importance given by an individual to social media has significantly increased in last few years. As more and more people become part of the social networks like Twitter, Facebook, information which flows through the social network, can potentially give us good understanding about what is happening around in our locality, state, nation or even in the world. The conceptual motive behind the project is to develop a system which analyses about a topic searched on Twitter. It is designed to assist Information Analysts in understanding and exploring complex events as they unfold in the world. The system tracks changes in emotions over events, signalling possible flashpoints or abatement. For each trending topic, the system also shows a sentiment graph showing how positive and negative sentiments are trending as the topic is getting trended.

INSTAGRAM SEBAGAI SOCIAL MEDIA MARKETING DALAM MEMBANGUN BRAND AWARENESS FAKULTAS EKONOMI DAN BISNIS ISLAM

2020 ◽  
Vol 3 (2) ◽  
Author(s):  
Oktaria Ardika Putri
Keyword(s):  
Information Technology ◽  
Social Media ◽  
Qualitative Analysis ◽  
Educational Institution ◽  
Social Media Marketing ◽  
Brand Awareness ◽  
Educational Institutions ◽  
Business People ◽  
Marketing Tool

Instagram is a social media application that is currently very popular in the community, especially among artist, politicians, and business people. Companies or advanced business must quicly adapt to the advancement of information technology in the form of social media as a marketing tool. Instagram social media also necessary to developing educational institutions. One of the educational institution that ae currently developing is the newly established Faculty of Economics and Business Islam (FEBI) at the Kediri State Islamic Institute (IAIN Kediri). This writing aims to examine the importance of Instagram as social media marketing to building FEBI IAIN Kediri Brand Awareness. Instagram social media is considered more effectives to embrace students and the community, so it is expected to facilitate marketing and communication between FEBI IAIN Kediri with the students or other agencies. The method of this reasearch is a qualitative analysis which reference libraries are used as a basis. Keywods:  Instagam,  social media, Faculty of Economics and Business Islam, IAIN Kediri

ANALISIS PERINGKAT TOP BRAND OJEK ONLINE MENGGUNAKAN JEJARING SOSIAL PERCAKAPAN TWITTER

2019 ◽  
Vol 24 (2) ◽  
pp. 88-104
Author(s):  
Ilham Aminudin ◽  
Dyah Anggraini
Keyword(s):  
Social Media ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Path Length ◽  
Average Path Length ◽  
Average Degree ◽  
Clustering Coefficient ◽  
R Programming

Banyak bisnis mulai muncul dengan melibatkan pengembangan teknologi internet. Salah satunya adalah bisnis di aplikasi berbasis penyedia layanan di bidang moda transportasi berbasis online yang ternyata dapat memberikan solusi dan menjawab berbagai kekhawatiran publik tentang layanan transportasi umum. Kemacetan lalu lintas di kota-kota besar dan ketegangan publik dengan keamanan transportasi umum diselesaikan dengan adanya aplikasi transportasi online seperti Grab dan Gojek yang memberikan kemudahan dan kenyamanan bagi penggunanya Penelitian ini dilakukan untuk menganalisa keaktifan percakapan brand jasa transportasi online di jejaring sosial Twitter berdasarkan properti jaringan. Penelitian dilakukan dengan dengan mengambil data dari percakapan pengguna di social media Twitter dengan cara crawling menggunakan Bahasa pemrograman R programming dan software R Studio dan pembuatan model jaringan dengan software Gephy. Setelah itu data dianalisis menggunakan metode social network analysis yang terdiri berdasarkan properti jaringan yaitu size, density, modularity, diameter, average degree, average path length, dan clustering coefficient dan nantinya hasil analisis akan dibandingkan dari setiap properti jaringan kedua brand jasa transportasi Online dan ditentukan strategi dalam meningkatkan dan mempertahankan keaktifan serta tingkat kehadiran brand jasa transportasi online, Grab dan Gojek.

New Democracy in Digital Era through Social Media and News Online

Humaniora ◽  
2020 ◽  
Vol 11 (1) ◽  
pp. 13
Author(s):  
Abitassha Az Zahra ◽  
Eko Priyo Purnomo ◽  
Aulia Nur Kasiwi
Keyword(s):  
Social Media ◽  
Social Network ◽  
Communication Networks ◽  
Social Communication ◽  
Development Policy ◽  
Online News ◽  
Digital Era ◽  
The Social ◽  
New Democracy

The research aimed to explain the pattern of social communication on the issue of rejection of the PLTU Batang development policy. It used data on Twitter accounts involved in the rejection of the PLTU Batang development policy. In analyzing existing data, qualitative methods and social analysis networks were used. To see social networks in the rejection of the PLTU Batang development policy, the research used the NodeXL application to find out the patterns of social communication networks in #TolakPLTUBatang. From the results, it can be seen that in the dissemination of social networking information, the @praditya_wibby account is the most central account in the social network and has a strong influence on the social network. The @praditya_wibby account has a role in moving the community through Twitter to make a critical social movement. This means that in the current digital era, democracy enters a new form through the movement of public opinion delivery through social media. Besides, by encouraging the role of online news, the distribution of information becomes faster to form new perceptions of an issue. This is evident from the correlation network where the @praditya_wibby account has correlations with several compass online media accounts, tirto.id, okezonenews, vice, antaranews, BBCIndonesia, and CNN Indonesia.

Measuring Relevant Information in Health Social Network Conversations and Clinical Diagnosis Cases (Preprint)

2018 ◽  
Author(s):  
Albert Moreira ◽  
Raul Alonso-Calvo ◽  
Alberto Muñoz ◽  
Jose Crespo
Keyword(s):  
Social Media ◽  
Social Network ◽  
Relevant Information ◽  
Online Discussions ◽  
Biomedical Knowledge ◽  
Expert Opinions ◽  
Health Related ◽  
Health Social Network ◽  
Discussion System ◽  
Clinical Cases

BACKGROUND Internet and Social media is an enormous source of information. Health Social Networks and online collaborative environments enable users to create shared content that afterwards can be discussed. While social media discussions for health related matters constitute a potential source of knowledge, characterizing the relevance of participations from different users is a challenging task. OBJECTIVE The aim of this paper is to present a methodology designed for quantifying relevant information provided by different participants in clinical online discussions. METHODS A set of key indicators for different aspects of clinical conversations and specific clinical contributions within a discussion have been defined. These indicators make use of biomedical knowledge extraction based on standard terminologies and ontologies. These indicators allow measuring the relevance of information of each participant of the clinical conversation. RESULTS Proposed indicators have been applied to two discussions extracted from PatientsLikeMe, as well as to two real clinical cases from the Sanar collaborative discussion system. Results obtained from indicators in the tested cases have been compared with clinical expert opinions to check indicators validity. CONCLUSIONS The methodology has been successfully used for describing participant interactions in real clinical cases belonging to a collaborative clinical case discussion tool and from a conversation from a Health Social Network.

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