Association perception customer feedback with text network analysis in social media (case study on internet banking BRI, BCA, Mandiri in Indonesia)

2017 ◽  
Author(s):  
Made Kevin Bratawisnu ◽  
Refi Rifaldi Windya Giri ◽  
Rudi Rinaldi
Keyword(s):  
Social Media ◽  
Network Analysis ◽  
Internet Banking ◽  
Customer Feedback ◽  
Text Network Analysis

scholarly journals Penerapan Text Network Analysis Dalam Menganalisis Pendapat Customer Product Patriot di Shopee

2022 ◽  
Vol 14 (1) ◽  
pp. 72-82
Author(s):  
Ignatius Adrian Mastan ◽  
Yohanes Wendy
Keyword(s):  
Network Analysis ◽  
Social Computing ◽  
Social Contexts ◽  
Consumer Perceptions ◽  
Solid State Drive ◽  
Computing Systems ◽  
Feedback Information ◽  
Customer Feedback ◽  
Selling Process ◽  
Text Network Analysis

E-commerce has changed the buying and selling process and the way people interact via the internet. One company that uses e-commerce is PT Patriot Memory Indonesia. PT Patriot Memory Indonesia sells well-known computer peripherals, including the Solid State Drive (SSD). PT Patriot Memory Indonesia wants to analyze customer feedback regarding SSD products sold in e-commerce, namely Shopee by using Text Network Analysis (TNA) which is one part of social computing. Social computing is a science that focuses on social behavior and social contexts using computing systems. One of the tools of social computing, namely Text Network Analysis (TNA), is a research technique that focuses on identifying and comparing network relationships between words, sentences, and systems to model interactions that generate new knowledge or information. In this study, TextNetwork Analysis will show consumer perceptions through the feedback it provideson buyer reviews. The opinions expressed by consumers in buyer reviews can be analyzed so that they can connect each word and create associations of consumer perceptions of a product. Thus, it can be seen the aspects that must be addressed by the company to improve consumer perceptions. The problem analyzed is the development of social computing in analyzing big data. Can the company take advantage of this information so that they know the perceptions of their consumers through the information in the customer feedback at Shopee. Through Text Network Analysis in social computing, researchers will know the association of each word of consumer perception and can see the perception that has the highest degree of a product and see its relationship with other perceptions. This study looks at consumer perceptions of Patriot SSD products at Shopee. The results of this study can help provide customer feedback information to PT Patriot Memory Indonesia. 

Tweeting #Ferguson: Mediatized fields and the new activist journalist

2017 ◽  
Vol 20 (7) ◽  
pp. 2252-2271 ◽  
Author(s):  
Stephen R Barnard
Keyword(s):  
Field Theory ◽  
Social Media ◽  
Content Analysis ◽  
Social Network ◽  
Network Analysis ◽  
Mixed Methods Approach ◽  
Twitter Users ◽  
Journalistic Field

As a hybrid, journo-activist space, tweeting #Ferguson quickly emerged as a way for activists and journalists to network and spread information. Using a mixed-methods approach combining digital ethnographic content analysis with social network analysis and link analysis, this study examines journalistic and activist uses of Twitter to identify changes in field relations and practices. Employing the lenses of field theory and mediatization, this study finds parity and divergence in the themes, frames, format, and discourse of journalist and activist Twitter practices. While the traditions of objective journalism and affective activism persist, notable exceptions occurred, especially following acts of police suppression. The networked communities of professional and activist Twitter users were overlapping and interactive, suggesting hybridity at the margins of the journalistic field. Given the hybridizing of journalistic and journo-activist practices, this case study examines the role of social media in efforts to report on and bolster social change.

scholarly journals Desi Febriani 175100042p

2019 ◽  
Author(s):  
Desi Febriani
Keyword(s):  
Big Data ◽  
Network Analysis ◽  
Social Computing ◽  
Customer Feedback ◽  
Marketing Intelligence ◽  
Text Network Analysis

Kemajuan teknologi informasi telah membawa peluang bagi bisnis untuk mengembangkan bisnisnya. Pengguna media. Penelitian ini termasuk jenis penelitian kualitatif deskriptif. Penelitian kualitatif deskriptif adalah penelitian yang bertujuan untuk sosial yang semakin meningkat setiap tahunnya menjadikan media sosial menjadi tools perusahaan untuk melihat konsumennya. Perusahaan harus mengetahui analisis media sosial dengan cara yang tepat sesuai dengan rencana bisnis perusahaan. Pemakaian media sosial oleh pengguna telah menghasilkan data jejak keseharian individu dimana terdapat pandangan seseorang terhadap suatu obyek. Data yang terkumpul dengan ukuran yang besar dalam media sosial dan bersifat kompleks tersebut adalah big data. Pemanfaatan social computing dapat digunakan untuk menganalisis pola yang terdapat pada big data. Salah satu tool dari social computing yaitu Text Network Analysis (TNA) adalah teknik penelitian yang berfokus pada identifikasi dan membandingkan hubungan jaringan antara kata, kalimat dan sistem untuk memodelkan interaksi yang menghasilkan pengetahuan atau informasi yang baru. Dalam penelitian ini Text Network Analysis (TNA) akan menunjukkan asosiasi persepsi konsumen melalui customer feedback yang diberikannya pada media social terrhadap e- commerce Consumer to Consumer (C2C) terbesar di Indonesia yaitu Tokopedia dan Bukalapakmendeskripsikan karakteristik dari suatu objek, orang, grup, organisasi atau lingkungan yang menggambarkan situasi atau kejadian tertentu. Data pada penelitian ini yaitu data sekunder dengan cara crawling data pada media sosial Twitter dengan menggunakan metode analisis yaitu Text Network Analysis (TNA). Hasil asosiasi persepsi dari pengolahan data di media sosial melalui Text Network Analysis (TNA) dapat digunakan bisnis e-commerce sebagai marketing intelligence.

Discussing the populist features of anti-refugee discourses on social media: an anti-Syrian hashtag in Turkish Twitter

2020 ◽  
Author(s):  
Mehmet Gökay Özerim ◽  
Juliette Tolay
Keyword(s):  
Social Media ◽  
Discourse Analysis ◽  
Network Analysis ◽  
Political Context ◽  
The Other ◽  
Popular Discourse ◽  
Echo Chambers ◽  
The Impact

Abstract This article discusses whether it is possible to frame anti-refugee discourse on social media as a form of populism by analysing the case study of the hashtag #ülkemdesuriyeliistemiyorum (#IdontwantSyriansinmycountry), which emerged on Twitter in Turkey in 2016. Both network analysis and discourse analysis are used in order to delineate the characteristics of the tropes associated with the hashtag, to identify the existence of populist elements, as well as to scrutinize the linkage of the hashtag with the broader political context. The study shows that some elements of a populist discourse clearly exist (simple and popular discourse, anti-foreigner), while some others are missing (the existence of a leader). Most importantly, the discussion of the other elements (dichotomous views, othering and anti-elite) highlight the need to better conceptualize and contextualize these features to understand the connection between anti-elite (populism) and anti-foreigner discourses (nativism), the impact of tagged tropes such as a hashtag that can poke holes in echo chambers and the distinction between the concepts of anti-elitism and anti-establishment (especially in specific political contexts such as Turkey).

scholarly journals Bridging the computational and visual turn: Re-tooling visual studies with image recognition and network analysis to study online climate images

2021 ◽  
Vol 3 (1) ◽  
pp. 141-163
Author(s):  
Sofie Thorsen ◽  
Cecilie Astrupgaard
Keyword(s):  
Social Media ◽  
Network Analysis ◽  
Social Science ◽  
Image Recognition ◽  
Potential Application ◽  
Public Debates ◽  
Cross Platform ◽  
Digital Methods ◽  
Visual Network

Abstract In this article, we argue that to capture the liveliness of how visual public debates like the climate controversy unfold online, we must replace snapshot and single-platform approaches with a method that can capture their temporal and cross-platform dynamics. We suggest that such a methodology could be assembled by combining image recognition, visual network analysis, and a quali-quantitative approach within a digital methods framework. We demonstrate the potential application of the methodology in a two-fold case study of 1) how the human–nature relation is visually depicted on Instagram and Twitter, and 2) how visual genres in the climate debate on Twitter change from 2015 to 2017. Through these experiments, we analyse more than a quarter million social media images to produce novel insights about the climate debate, while showcasing how the computational and visual capabilities of social science can be bridged to open up opportunities for mapping complex visual debates across platforms and time.

scholarly journals The Rise of K-Popper's Political Awareness in Twitter and What It Means for All of Us

2022 ◽  
Vol 19 (2) ◽  
pp. 253
Author(s):  
Dani Fadillah ◽  
Arif Ardy Wibowo ◽  
Nunik Hariyati ◽  
Uspal Jandevi
Keyword(s):  
Social Media ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Political Movements ◽  
Political Awareness ◽  
Political Stance ◽  
The Subject

The Omnibus Law, which was passed on October 5, 2020, has discontented students and workers who protested on the streets. The ratification of the Omnibus Law has an effect on public opinion-raising activities, both those who support and who reject the ratification of the Omnibus Law, are crowded on Twitter social media. The active account of K-Poppers who took part became a line against the opinion of the Omnibus Law, so a question arises whether this is a phenomenon of the rise of political awareness of K-Poppers in Indonesia? This study analyzes the role of K-Poppers in socio-political movements in several countries globally, especially in Indonesia. The type of research used is a case study of the K-Poppers movement in the case of the ratification of the Omnibus Law as the subject in writing this paper. Collecting data using Social Network Analysis (SNA) and observing the activities of K-Poppers in Indonesia when parliament passed the controversial Omnibus Law. The results of this study indicate that Indonesian K-Poppers maximize their function as part of Indonesian citizens to express their political stance. They also showed their political involvement when creating hashtags, organizing other K-Pop crowds, and at the same time providing support to activists who rejected the Omnibus Law.

STRATEGI KOMUNIKASI CROWDFUNDING PADA KOLASE.COM

2019 ◽  
Vol 2 (2) ◽  
pp. 177-187
Author(s):  
Venessa Agusta Gogali ◽  
Fajar Muharam ◽  
Syarif Fitri
Keyword(s):  
Social Media ◽  
Communication Strategies ◽  
Communication Strategy ◽  
New Method ◽  
Media Communication ◽  
Social Activists ◽  
Social Media Communication

Crowdfunding is a new method in fundraising activities based online. Moreover, the level of penetration of social media to the community is increasingly high. This makes social activists and academics realize that it is important to study social media communication strategies in crowdfunding activities. There is encouragement to provide an overview of crowdfunding activities. So the author conducted a research on "Crowdfunding Communication Strategy Through Kolase.com Through Case Study on the #BikinNyata Program Through the Kolase.com Website that successfully achieved the target. Keywords: Strategic of Communication, Crowdfunding, Social Media.

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