Clubhouse Experience

2022 ◽  
pp. 244-264
Author(s):  
Ipek Deveci Kocakoç ◽  
Pınar Özkan
Keyword(s):  
Social Media ◽  
Social Networking ◽  
Sentiment Analysis ◽  
Supervised Learning ◽  
European Countries ◽  
Media Messages ◽  
The Social ◽  
Social Media Platforms ◽  
Learning By Using

Clubhouse is an invitation-only social networking application that differs from the usual social media platforms in that it is “audio only.” In this chapter, the sentiments in the social media messages about Clubhouse in the classic SMPs are examined by supervised learning (by using Hugging Face Transformer Library), and the user feelings are analyzed. Because Turkey is in the first ranks among European countries in terms of both the number of social media users and the number of messages, the analysis is conducted using the Turkish users. Mentions of Clubhouse have begun on Twitter and Sourtimes platforms in Turkey in early 2021. In this study, the aim is to demonstrate how Clubhouse, a new and different SMP, is evaluated by Twitter and Sourtimes users and to reveal user thoughts about this SMP along the timeline by using sentiment analysis.

Hyperreality of #BlackLivesMatter Movement on Social Media

2021 ◽  
Vol 37 (3) ◽  
pp. 288-303
Author(s):  
Ghozian Aulia Pradhana ◽  
◽  
Syaifa Tania ◽  
Keyword(s):  
Social Media ◽  
African American ◽  
Content Analysis ◽  
Social Networking ◽  
Social Movement ◽  
Social Networking Sites ◽  
The Other ◽  
The Social ◽  
True Meaning ◽  
Social Media Platforms

This study aims to reveal how hyperreality is reflected in using the #BlackLivesMatter hashtag on social media. The death of an African-American, George Floyd, that involved white police, has sparked outrage and demonstrations in many U.S. states. Issues pertaining to racism sparked in relation to the event, and many people protested demanding justice. The demand for justice then went into a wave of massive global protests both in offline and online realities—the #BlackLivesMatter hashtag was widely used on social media when protests were held. The #BlackLivesMatter hashtag even became a trending topic on several social media platforms, as if everyone was concerned about the issue and aiming for the same purpose. However, we might find several posts that neither reflected nor were related to the case. Some social media users put the hashtag even though their content substance was not related. This phenomenon then led to a condition of hyperreality in questioning reality from a simulation of reality. The method used in this study is content analysis which measures the sentiment of comments on Twitter and Instagram. The study found that social networking sites mobilised online movements even though they were not directly related to the #BlackLivesMatter movement. On the other hand, hashtag activism reduced the true meaning of the social movement. Therefore, the hyperreality in #BlackLivesMatter could not be seen any longer as a form of massive protests demanding justice and ending violence, but merely to gain more digital presence on social media. Keywords: Black lives matter, movement, social media, hyperreality, hashtag activism.

The Social Library

2018 ◽  
pp. 697-712
Author(s):  
Ganiyu Ojo Adigun ◽  
Adebayo Muritala Adegbore ◽  
Halimah Odunayo Amuda
Keyword(s):  
Social Media ◽  
Social Responsibility ◽  
Social Networking ◽  
Reference Services ◽  
The Social ◽  
Reference Librarians ◽  
The Future ◽  
Social Media Platforms ◽  
Social Networking Tools

This chapter discusses how to transform libraries into a social library by integrating social networking tools into library reference services. Social networking/media tools enable Reference Librarians to communicate, network, and share documents with many library clients regardless of location, and at little or no expense. Reference Librarians can build relationships and keep up to date with library clients. Social networking media, however, open up new forms of collaboration that are not so bounded by time, place, and access to funding. This chapter looks at the following: needs and purpose of reference services, social responsibility of library, social networking in library reference services, challenges and prospects of integrating social networking into reference services, social media platforms, and ways to improve the use of social networking in library reference services in the future.

scholarly journals Reviewing Sentiment Analysis at the Shallow End

2020 ◽  
Vol 8 (4) ◽  
pp. 47-62
Author(s):  
Francisca Oladipo ◽  
Ogunsanya, F. B ◽  
Musa, A. E. ◽  
Ogbuju, E. E ◽  
Ariwa, E.
Keyword(s):  
Machine Learning ◽  
Social Media ◽  
Sentiment Analysis ◽  
Information Exchange ◽  
Training Data ◽  
Data Set ◽  
The Social ◽  
Machine Learning Approach ◽  
Media Space ◽  
Social Media Platforms

The social media space has evolved into a large labyrinth of information exchange platform and due to the growth in the adoption of different social media platforms, there has been an increasing wave of interests in sentiment analysis as a paradigm for the mining and analysis of users’ opinions and sentiments based on their posts. In this paper, we present a review of contextual sentiment analysis on social media entries with a specific focus on Twitter. The sentimental analysis consists of two broad approaches which are machine learning which uses classification techniques to classify text and is further categorized into supervised learning and unsupervised learning; and the lexicon-based approach which uses a dictionary without using any test or training data set, unlike the machine learning approach.  

Computing Opinions for Twitter Review Data

2020 ◽  
Vol 17 (9) ◽  
pp. 4360-4363
Author(s):  
S. Tenkale Pallavi ◽  
S. Jagannatha
Keyword(s):  
Social Media ◽  
Social Networking ◽  
Sentiment Analysis ◽  
Social Networking Sites ◽  
Web Pages ◽  
Human Being ◽  
Association Network ◽  
The Social ◽  
Individual Human

Customers and users post their opinions or reviews on social networking sites and it has increased the amount of data WWW. With this users from all over world try to share their opinions and sentiments on the blogging sites every day. Internet is being used in form of web pages, social media, and sometimes blogs which increases online portals sentiments, reviews, opinions, references, scores, and feedbacks are also generated by people. Twitter is the most famous micro-blogging site where users express their opinions in the form of tweets. The user can express their sentiments about various aspects e.g., books, celebrities, restaurants, various products, research, events, etc. All these opinions plays vital roles and they are quite important for various businesses, for government schemes, and for individual human being as well. Still, there are many curbs in mining reviews or opinions and process to calculate them. These limitations have turned into highland in investigating the actual gist of opinions and measuring its polarity. Hence, we recommend an inventive way to compute the sentiments for given reviews or opinions. This recommendation is centered on the social networking sites’ information of various Tweets, a word-emotion-association-network is put up in association to represent opinions and semantics that decides the base for the emotions (sentiment) analysis of opinion or reviews.

Real Time Sentiment Analysis

2020 ◽  
Vol 11 (1) ◽  
pp. 27-35
Author(s):  
Sandip Palit ◽  
Soumadip Ghosh
Keyword(s):  
Social Media ◽  
Sentiment Analysis ◽  
Real Time ◽  
Unstructured Data ◽  
Societal Issues ◽  
The Social ◽  
The World ◽  
Social Media Platforms ◽  
Primary Medium ◽  
Different Parts

Data is the most valuable resource. We have a lot of unstructured data generated by the social media giants Twitter, Facebook, and Google. Unfortunately, analytics on unstructured data cannot be performed. As the availability of the internet became easier, people started using social media platforms as the primary medium for sharing their opinions. Every day, millions of opinions from different parts of the world are posted on Twitter. The primary goal of Twitter is to let people share their opinion with a big audience. So, if the authors can effectively analyse the tweets, valuable information can be gained. Storing these opinions in a structured manner and then using that to analyse people's reactions and perceptions about buying a product or a service is a very vital step for any corporate firm. Sentiment analysis aims to analyse and discover the sentiments behind opinions of various people on different subjects like commercial products, politics, and daily societal issues. This research has developed a model to determine the polarity of a keyword in real time.

scholarly journals Relevance of Big Data Technologies to and users in Context of Social Networking Applications

2020 ◽  
Vol 8 (6) ◽  
pp. 4182-4186
Keyword(s):  
Social Media ◽  
Big Data ◽  
Social Networking ◽  
Data Storage ◽  
Vital Role ◽  
Research Article ◽  
The Social ◽  
Big Data Technologies ◽  
Social Media Platforms ◽  
Big Data Storage

Unremitting generation of data by various data analytics platforms, ubiquitous ,edge nodes and social networks in the concurrent scenario has shaped the exceptional amount of data in volume, velocity, veracity, variety and value. Exceptional data have made traditional information technology and method unfeasible to cope up amid. This exceptional data has been termed as Big Data. Social media is one of the most important sources of Big Data. social media is a constituent of Big Data. Besides Big Data plays a vital role in moving forward the Social Networking Applications to innovate and enhance the experience of users. Various technologies are factored for Big Data storage, processing and analysis in the context of social networking. This paper investigates these technologies which are being used by social networking applications with their relevance to the end users. The research article provides a relevance computation of various social media platforms. It further summarizes a visualization of the use of the platforms in their contribution to the big data.

The Social Library

2015 ◽  
pp. 140-154 ◽  
Author(s):  
Ganiyu Ojo Adigun ◽  
Adebayo Muritala Adegbore ◽  
Halimah Odunayo Amuda
Keyword(s):  
Social Media ◽  
Social Responsibility ◽  
Social Networking ◽  
Reference Services ◽  
The Social ◽  
Reference Librarians ◽  
The Future ◽  
Social Media Platforms ◽  
Social Networking Tools

This chapter discusses how to transform libraries into a social library by integrating social networking tools into library reference services. Social networking/media tools enable Reference Librarians to communicate, network, and share documents with many library clients regardless of location, and at little or no expense. Reference Librarians can build relationships and keep up to date with library clients. Social networking media, however, open up new forms of collaboration that are not so bounded by time, place, and access to funding. This chapter looks at the following: needs and purpose of reference services, social responsibility of library, social networking in library reference services, challenges and prospects of integrating social networking into reference services, social media platforms, and ways to improve the use of social networking in library reference services in the future.

Discovery of repost patterns by topic analysis in enterprise social networking

2017 ◽  
Vol 69 (2) ◽  
pp. 158-173 ◽  
Author(s):  
Jianhong Luo ◽  
Xuwei Pan ◽  
Xiyong Zhu
Keyword(s):  
Social Media ◽  
Social Networking ◽  
Online Social Network ◽  
Macro Level ◽  
Enterprise Management ◽  
Content Type ◽  
Topic Analysis ◽  
Enterprise Social Media ◽  
Media Messages ◽  
The Social

Purpose An increasing number of users are inspired by enterprises to repost social media messages, which greatly contributes to the dissemination of such messages in an online social network. The purpose of this paper is to discover the repost patterns of users regarding enterprise social media messages to help enterprises improve information management abilities for social media. Design/methodology/approach This paper proposes a novel method to discover the repost patterns of users in enterprise social networking (ESN) at the macro-level through topic analysis. Specifically, it proposes the message-diversity metric to measure the latent topic diversity degree of the social media messages. Through this technique, the paper analyzes the message-diversity characteristics of the enterprise social media messages and then explores the repost patterns of users. Findings The experimental results show that a high repost rate is more prominent for the messages with diverse latent topics, where message-diversity is as high as 0.5. Practical implications The findings have great potential in several management areas, such as employing social media marketing, predicting popular messages, helping enterprises strengthen their online presence, and gathering more potential customers. Originality/value This study explores how the repost patterns of users in ESN can be determined through general macro-level behavior of users instead of their micro-level processes. The patterns can also lead to a deeper understanding of which contents can drive people to diffuse information. This study gives an important insight into the information behavior of social media users for enterprise management researchers.

scholarly journals Influencing Factors of Social Media Marketing on Consumers Buying Decisions

2019 ◽  
Vol 8 (2) ◽  
pp. 40-48
Author(s):  
Anjali Chaudhary
Keyword(s):  
Social Media ◽  
Social Networking ◽  
Influencing Factors ◽  
Social Networking Sites ◽  
Negative Impact ◽  
Social Media Marketing ◽  
Purchasing Behavior ◽  
Technology Infrastructure ◽  
The Social ◽  
Social Media Platforms

In recent years, the world has witnessed a kind of social communication between humans in virtual cyberspace. The social networking is popular in marketing which utilizes the platform to present various marketing programs and strategies. The study based on the affecting influencing factors of social media marketing such as technology, infrastructure, culture, society in consumers’ buying decision in Saudi Arabia.The research focuses on consumer’s behavior and responses, in terms of indirect advertising, exaggerating on praising the product or service, false advertising, deceitful, and unprofessional behaviors. The research was carried out the buying behavior of customer through survey questionnaire. The results of the study concluded there is a relationship between Social media marketing on consumer purchasing decisions. The result further shows that e-advertising on the social media platforms has a negative impact on consumer purchasing behavior by stealth advertisement, unethical behavior, and fake advertise, and exaggeration on promoting a product to those who spend three hours or more on social networking sites in the Kingdom of Saudi Arabia.

scholarly journals A proposed model for using innovative marketing in social media platforms - A field study on Mobily customers, Saudi Arabia: نموذج مقترح لاستخدام التسويق الابتكاري في منصات التواصل الاجتماعي – دراسة ميدانية على عملاء شركة موبايلي للاتصالات- المملكة العربية السعودية –

2021 ◽  
Vol 5 (2) ◽  
Author(s):  
Motaz Talat Abdullah, Saad Abdullah Al-Salboud
Keyword(s):  
Social Media ◽  
Social Networking ◽  
Social Communication ◽  
Social Networking Sites ◽  
Significance Level ◽  
Proposed Model ◽  
Data Collection And Analysis ◽  
The Social ◽  
Social Media Platforms ◽  
Personal Accounts

The study aimed to know the extent to which Mobily applied innovative marketing in the social communication platforms, and to know the effect of using innovative marketing in the social communication platforms on consumer attitudes. The study sample consisted of 273 of Mobily customers in the KSA, the study used descriptive method of study. After data collection and analysis several results have been reached: Innovative marketing in social networking platforms contributes significantly to determining consumer trends. Mobily applies pioneering marketing in social networking sites well, As the overall average for innovative marketing hub in social media platforms reached 2.384. There is a statistically significant relationship between innovative marketing in social communication platforms and consumer trends at a significance level (0.05). Based on the results of the study, the researcher presented a number of recommendations, the most important of which is: the need for companies to adopt the means of social communication in their work and focus their efforts in increasing the effectiveness of their content on the networks. Formation of Companies Teams is responsible for following up, developing and updating their content on the means of social communication and follow-up responses of users of their content. Encourage users of social media to adhere to the credibility of information about products and services published on their personal accounts.

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