Influencing Social Media Influencers Through Affiliation

2021 ◽  
Author(s):  
Amy Pei ◽  
Dina Mayzlin
Keyword(s):  
Social Media ◽  
Product Reviews

This paper studies how firms can strategically manage product reviews by social media influencers.

scholarly journals Analisis Pencarian Informasi Remaja Generasi z dalam Proses Pengambilan Keputusan Belanja Online (Analisis pada Mahasiswa Ilmu Komunikasi Universitas Tidar)

2020 ◽  
Vol 4 (2) ◽  
pp. 146
Author(s):  
Fitria Khairum Nisa ◽  
Arief Bregas Viratama ◽  
Nurul Hidayanti
Keyword(s):  
Social Media ◽  
Information Search ◽  
Online Shopping ◽  
Internet Usage ◽  
Search Process ◽  
Product Reviews ◽  
Sources Of Information ◽  
Digital World ◽  
Generation Z ◽  
Depth Interviews

<p><strong>Abstrak<br /></strong></p><p><strong></strong>Berdasarkan <em>survey</em>, salah kegiatan berinternet yang paling sering dilakukan adalah belanja <em>online</em> sebanyak 44.6%. Sedangkan generasi yang mendominasi penggunaan internet adalah generasi z. Generasi z merupakan generasi yang akrab dengan dunia digital dan berani mengambil resiko. Penelitian ini bertujuan untuk melihat bagaimana generasi z melakukan proses pencarian informasi dalam melakukan belanja <em>online</em><em> </em>dengan menyebarkan angket serta melakukan wawancara mendalam. Penelitian ini menggunakan <em>mix method. </em>Adapun subjek dari penelitian ini adalah mahasiswa Program Studi Ilmu Komunikasi, Universitas Tidar. Hasil penelitian ini menunjukan bahwa ulasan produk di <em>e-commerce</em> merupakan sumber utama remaja generasi z dalam mencari informasi yakni sebesar 80.7%. Sumber informasi lainnya adalah ulasan produk di sosial media dan bertanya kepada teman. Adapun alasannya adalah untuk mencari <em>trend</em> terkini serta ulasan produk dapat dipercaya dan generasi z peduli dengan pendapat orang sekitar.</p><p> </p><p><em><strong>Abstract</strong></em></p><p><em>Based on the survey, one of the most frequently carried out internet activities was online shopping which is 44.6%. Meanwhile, the generation that dominates internet usage is z generation. Z generation z is a generation that is familiar with the digital world and is willing to take risks. This study aims to see how generation Z performs the information search process in online shopping. This study uses a mix method by distributing questionnaires and conducting in-depth interviews. Subject of this research is the students of communication in Tidar University. The results of this study indicate that product reviews on e-commerce is the main source of z generation adolescents in seeking information, which is 80.7%. Other sources of information are product reviews on social media and asking friends. The reasons for those are they look for the newest trend and product reviews are trustworthy and z generation cares what people think about them.</em></p>

Fad or Here to Stay: Predicting Product Market Adoption and Longevity Using Large Scale, Social Media Data

2013 ◽  
Author(s):  
Suppawong Tuarob ◽  
Conrad S. Tucker
Keyword(s):  
Social Media ◽  
Knowledge Discovery ◽  
Large Scale ◽  
Product Information ◽  
Product Market ◽  
Knowledge Discovery In Databases ◽  
Product Reviews ◽  
Product Model ◽  
Social Media Data ◽  
Media Data

The authors of this work propose a Knowledge Discovery in Databases (KDD) model for predicting product market adoption and longevity using large scale, social media data. Social media data, available through sites such as Twitter® and Facebook®, have been shown to be leading indicators and predictors of events ranging from influenza spread, financial stock market prices, and movie revenues. Being ubiquitous and colloquial in nature allows users to honestly express their opinions in a unified, dynamic manner. This makes social media a relatively new data gathering source that can potentially appeal to designers and enterprise decision makers aiming to understand consumers response to their upcoming/newly launched products. Existing design methodologies for leveraging large scale data have traditionally relied on product reviews available on the internet to mine product information. However, such web reviews often come from disparate sources, making the aggregation and knowledge discovery process quite cumbersome, especially reviews for poorly received products. Furthermore, such web reviews have not been shown to be strong indicators of new product market adoption. In this paper, the authors demonstrate how social media can be used to predict and mine information relating to product features, product competition and market adoption. In particular, the authors analyze the sentiment in tweets and use the results to predict product sales. The authors present a mathematical model that can quantify the correlations between social media sentiment and product market adoption in an effort to compute the ability to stay in the market of individual products. The proposed technique involves computing the Subjectivity, Polarity, and Favorability of the product. Finally, the authors utilize Information Retrieval techniques to mine users’ opinions about strong, weak, and controversial features of a given product model. The authors evaluate their approaches using the real-world smartphone data, which are obtained from www.statista.com and www.gsmarena.com.

scholarly journals “You Are First a Chinese Citizen, Then A Consumer”: Presenting and Balancing Identities Online as Chinese International Tourists

2021 ◽  
Vol 17 (4) ◽  
pp. 58-81
Author(s):  
Fangheyue Ma
Keyword(s):  
Social Media ◽  
National Identity ◽  
Multiple Identities ◽  
The Other ◽  
Product Reviews ◽  
Broad Audience ◽  
Chinese Tourists ◽  
Micro Level ◽  
The One ◽  
Chinese Citizen

This paper is based on the analysis of 261 video and word posts collected from four popular social media sites on which Chinese tourists shared their consumption-related experiences during and after the trip. It investigates Chinese international tourists’ diverse presentations of self to a broad audience online through explaining their shopping experiences and product reviews. Tourists are expected to balance multiple identities carefully when they project themselves online as consumers—on the one hand, they present themselves as global consumers and trendsetters who are strategic and savvy; while on the other hand, they still need to preserve and even emphasize their national identity as Chinese patriots. Providing the much-lacking qualitative insight, this study enhances our understanding of international tourists and their consumption behaviors, the construction and presentation of a digital self, and how globalization operates at the micro-level.

scholarly journals Application of Naïve Bayes Algorithm in Sentiment Analysis of Filipino, English and Taglish Facebook Comments

2020 ◽  
Vol 4 (5) ◽  
pp. 73-77
Keyword(s):  
Social Media ◽  
Sentiment Analysis ◽  
Language Processing ◽  
Opinion Mining ◽  
Naive Bayes ◽  
Naïve Bayes ◽  
Product Reviews ◽  
Documentary Data ◽  
The Social ◽  
Bayes Algorithm

The World Wide Web has boosted its content for the past years, it has a vast amount of multimedia resources that continuously grow specifically in documentary data. One of the major contributors of documentary contents can be evidently found on the social media called Facebook. People or netizens on Facebook are actively sharing their opinion about a certain topic or posts that can be related to them or not. With the huge amount of accessible documentary data that are seen on the so-called social media, there are research trends that can be made by the researchers in the field of opinion mining. A netizen’s comment on a particular post can either be a negative or a positive one. This study will discuss the opinion or comment of a netizen whether it is positive or negative or how she/he feels about a specific topic posted on Facebook; this is can be measured by the use of Sentiment Analysis. The combination of the Natural Language Processing and the analytics in textual form is also known as Sentiment Analysis that is use to the extraction of data in a useful manner. This study will be based on the product reviews of Filipinos in Filipino, English and Taglish (mixed Filipino and English) languages. To categorize a comment effectively, the Naïve Bayes Algorithm was implemented to the developed web system.

scholarly journals Role of Social Sentiment Analysis in Stock Trends Forecasting

2019 ◽  
Vol 8 (2S5) ◽  
pp. 144-147
Keyword(s):  
Social Media ◽  
Stock Market ◽  
Sentiment Analysis ◽  
Product Reviews ◽  
Stock Market Prediction ◽  
The People ◽  
Market Trends ◽  
Election Results ◽  
Analysis Of Social Networks

Social media like Face book, Twitter have attracted attention from various sectors of study in recent years. Most of the people share ideas, opinions on various topics such as Stock Market Prediction, Digital marketing, Movie review, Election Results Prediction and Product reviews etc,. Forecasting Financial Market is considered to be one of the significant applications of Sentiment Analysis on Social Data like Face book, Twitter. It is essential to accurately predict the movements in stock trends, as the stock market trends are volatile. In the past few years several researches have been carried out for predicting the future trends of stock market through sentiment analysis on social media comments. This paper gives the survey on the various techniques, tools and methodologies adopted by several researchers on Stock Market Prediction based on sentiment analysis of Social networks

scholarly journals Cluster Analysis of Automobile Innovative Users Based on Interactive Innovation Value

2018 ◽  
Vol 2018 ◽  
pp. 1-10 ◽  
Author(s):  
Haowen Lin ◽  
Yaping Chen ◽  
Yushu Yang
Keyword(s):  
Social Media ◽  
Cluster Analysis ◽  
Product Reviews ◽  
Pyramid Model ◽  
User Data ◽  
Social Media Platforms ◽  
User Groups ◽  
Product Creation ◽  
Different Characteristics ◽  
Effective Channel

As a new model of product creation, “interactive innovation” can effectively improve the success rate of enterprise product innovation. Because of the wide application of the Internet and the pervasiveness of social media such as forums and blogs, there is a rapid growth of product reviews online. These social media platforms provide an effective channel for interactive innovation between enterprises and users. This paper is based on the innovation application of automobile products. The purpose of this paper is to identify and classify the innovative users in automobile forums and analyze the characteristics of different user groups. First, we summarize six typical characteristics of innovative users and quantify these six characteristics. Second, we make a cluster analysis of user data and divide innovative users into three classes according to the innovation value. And then, based on the different characteristics of three types of users, we present different interactive innovation methods for three types of users. Finally, we construct a pyramid model of innovative user to show the distribution status of various users.

Does Social Media Marketing Improve Business Performance?

2018 ◽  
pp. 138-162
Author(s):  
Tanses Yasemin Gülsoy
Keyword(s):  
Social Media ◽  
Business Performance ◽  
Consumer Attitudes ◽  
Product Reviews ◽  
Consumer Decision Making ◽  
Bidirectional Communication ◽  
The Social ◽  
Managerial Implications ◽  
On Line ◽  
Product Sales

The recent growth of social media, or consumer-generated media, has given rise to bidirectional communication between consumers and marketers. There is some evidence that the dialogue appears to help the business performance of companies by influencing, for example, product sales, consumer attitudes, and consumer decision-making. This chapter examines the evidence, with a particular focus on on-line consumer product reviews. Also investigated is the role trust plays in how marketing works in the social media. Managerial implications and research directions are indicated.

Let It Go

2017 ◽  
pp. 1106-1129 ◽  
Author(s):  
Matteo Montecchi ◽  
Karinna Nobbs
Keyword(s):  
Social Media ◽  
User Generated Content ◽  
Product Reviews ◽  
Fashion Industry ◽  
Structured Interviews ◽  
Product Usage ◽  
Strategic Approach ◽  
New Generation ◽  
The Relationship

The various digital interactions and contributions, which can be grouped under the umbrella term User Generated Content (UGC), can take the form of product reviews, blogs, demonstration of product usage or even “homemade advertising” (Berthon, Pitt, & Campbell, 2008; Fader & Winer, 2012). While current studies on UGC have mainly focused on the motivations that drive consumers to engage and contribute in various forms online, this research aims to explore how are organisations operating within the fashion industry are listening to, and taking advantage of, the various consumers contributions defined as UGC in order to innovate and create value for customers and other stakeholders. The findings of the semi-structured interviews conducted show that managers are still struggling in balancing the level of control and in managing a new generation of empowered consumers (Pires, Stanton, & Rita, 2006). Social media and UGC call for a more strategic approach by organisations wishing to succeed. The relationship between UGC and co-innovation was also identified.

Consumer Information Sharing

2010 ◽  
pp. 676-682 ◽  
Author(s):  
Jonathan Foster ◽  
Angela Lin
Keyword(s):  
Social Media ◽  
Information Sharing ◽  
Online Reviews ◽  
Consumer Information ◽  
Product Reviews ◽  
Purchasing Decisions ◽  
Life Project ◽  
Software Applications ◽  
The Social ◽  
Other Consumers

One area of e-business that has visibly changed in the last few years is the capacity of the Internet for supporting consumer-to-consumer information sharing. By using a variety of social media software applications such as online reviews, blogs, social tagging, and wikis, consumers are increasingly able to generate and share content about the products and services that are available in the marketplace. Collectively the labor expended by consumers in generating such content is considerable, influencing other consumers’ perceptions of these products and services and informing their purchasing decisions. It has been estimated for example that more than 5 million customers have reviewed products on the Amazon.com site, with many more making purchasing decisions informed by reading such reviews (Amazon, 2008). According to the findings of a recent Pew Internet & American Life Project survey, consumer generated information sources such as product reviews and blogs are also considered equally as important as commercial information, e.g. manufacturers’ specifications, when making a purchasing decision (Horrigan, 2008). This article aims to provide an up-to-date review of the practice of consumer information sharing. First the different kinds of information sought by consumers are identified; second the social media software applications that consumers use to create, organize and share information with other consumers are discussed; and finally consideration is given to the marketing implications of consumer information sharing and how e-businesses can utilize social media for developing and managing relations with their customers.

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