Organizational Architecture and Online Social Networks

2016 ◽  
pp. 508-524
Author(s):  
André Grützmann ◽  
Cleber Carvalho de Castro ◽  
Anderson Antonio Freire de Moraes Meireles ◽  
Renan Carlos Rodrigues
Keyword(s):  
Social Networks ◽  
Social Media ◽  
Online Social Networks ◽  
Interorganizational Networks ◽  
The Internet ◽  
Small Enterprises ◽  
Competitive Advantages ◽  
Global Marketplace ◽  
Complementary Resources ◽  
Organizational Architecture

The global marketplace is changing, forcing companies to establish stronger partnerships to compete at higher levels. Interorganizational networks are becoming a reality—not only for small enterprises, but also for larger companies. To face increasing global competition, companies need to strengthen their competitive advantages and solicit complementary resources from partners in order to get closer to customers. The Internet and its associated technologies, especially online social networks, can help with both tasks. Customers are using social media to share content, opinions, criticisms, and even compliments with companies and products. This chapter discusses the formation of interorganizational networks and points out some of the benefits that online social networks can contribute to these new organizational architectures.

Fake News Polarization for Sentiment Analysis

2022 ◽  
pp. 255-263
Author(s):  
Chirag Visani ◽  
Vishal Sorathiya ◽  
Sunil Lavadiya
Keyword(s):  
Social Networks ◽  
Social Media ◽  
Sentiment Analysis ◽  
Online Social Networks ◽  
Opinion Mining ◽  
Easy Access ◽  
The Internet ◽  
Fake News ◽  
Social Media Networks ◽  
Sentiment Mining

The popularity of the internet has increased the use of e-commerce websites and news channels. Fake news has been around for many years, and with the arrival of social media and modern-day news at its peak, easy access to e-platform and exponential growth of the knowledge available on social media networks has made it intricate to differentiate between right and wrong information, which has caused large effects on the offline society already. A crucial goal in improving the trustworthiness of data in online social networks is to spot fake news so the detection of spam news becomes important. For sentiment mining, the authors specialise in leveraging Facebook, Twitter, and Whatsapp, the most prominent microblogging platforms. They illustrate how to assemble a corpus automatically for sentiment analysis and opinion mining. They create a sentiment classifier using the corpus that can classify between fake, real, and neutral opinions in a document.

scholarly journals Oversharenting and family life

2020 ◽  
Vol 8 (11) ◽  
pp. 155-170
Author(s):  
Renata Soares Martins ◽  
Suely Aparecida do Nascimento Mascarenhas ◽  
Gisele Cristina Resende
Keyword(s):  
Social Networks ◽  
Social Media ◽  
Interpersonal Relationships ◽  
Family Life ◽  
Online Social Networks ◽  
The Internet ◽  
Communications Technology ◽  
The Social ◽  
The Family ◽  
High Degree

This article invites us to reflect on oversharenting and family life that, owing to the proliferation of communications technology and the internet, is intersected by digital cyberculture. The research was carried out on the social network, using the method of searching by hashtag. The results showed that during 2018 in two weeks, 20,781 posts were made using the hashtag “minidiva” and 1,679 with the hashtag “miniblogger”, from which three posts were collected each day. Netnography was used to analyze the images and categorize them: (1) oversharenting and family life, (2) social media and child consumption, (3) child adultization. It was concluded that online social networks (Instagram) are spaces where interpersonal relationships; it was seen that the act of consuming gained relevance in the family and that the child’s exposure occurs without awareness, which can cause a high degree of exposure and consequently have adverse effects for everyone.

Fuzzy based feature engineering architecture for sentiment analysis of medical discussion over online social networks

2021 ◽  
pp. 1-13
Author(s):  
C S Pavan Kumar ◽  
L D Dhinesh Babu
Keyword(s):  
Machine Learning ◽  
Social Networks ◽  
Social Media ◽  
Sentiment Analysis ◽  
Membership Function ◽  
Online Social Networks ◽  
Learning Model ◽  
Feature Engineering ◽  
Machine Learning Model ◽  
Social Media Platforms

Sentiment analysis is widely used to retrieve the hidden sentiments in medical discussions over Online Social Networking platforms such as Twitter, Facebook, Instagram. People often tend to convey their feelings concerning their medical problems over social media platforms. Practitioners and health care workers have started to observe these discussions to assess the impact of health-related issues among the people. This helps in providing better care to improve the quality of life. Dementia is a serious disease in western countries like the United States of America and the United Kingdom, and the respective governments are providing facilities to the affected people. There is much chatter over social media platforms concerning the patients’ care, healthy measures to be followed to avoid disease, check early indications. These chatters have to be carefully monitored to help the officials take necessary precautions for the betterment of the affected. A novel Feature engineering architecture that involves feature-split for sentiment analysis of medical chatter over online social networks with the pipeline is proposed that can be used on any Machine Learning model. The proposed model used the fuzzy membership function in refining the outputs. The machine learning model has obtained sentiment score is subjected to fuzzification and defuzzification by using the trapezoid membership function and center of sums method, respectively. Three datasets are considered for comparison of the proposed and the regular model. The proposed approach delivered better results than the normal approach and is proved to be an effective approach for sentiment analysis of medical discussions over online social networks.

Video Advertising: Connection and differences between consumers?

2021 ◽  
Vol 3 (1) ◽  
pp. 14-25
Author(s):  
Sónia Ferreira ◽  
Sara Santos ◽  
Pedro Espírito Santo
Keyword(s):  
Social Networks ◽  
Social Media ◽  
Literature Review ◽  
Conceptual Model ◽  
The Internet ◽  
Internet Search ◽  
Video Advertising ◽  
Social Media Engagement

The internet search trend has caused that online users are looking for more and more enriched information. The evolution of social media has been huge and users relate to social networks differently than they did before. Currently, there are more than 4 billion active users on social networks and brands are looking to showcase their products and services. Our research found the following factors that influence social media engagement: informativeness, self-connection and advertising stimulation. Through literature review, we propose a conceptual model that has been tested in the PLS-SEM. Data were collected from 237 consumers and our survey found that engagement in social media is explained by the variables identified by our model. Important contributions to brand theory and management will be found in this investigation.

scholarly journals Using the New Media by Companies From the Sme Sector in Podkarpackie Province

2018 ◽  
Vol 4 (2) ◽  
pp. 85-95 ◽  
Author(s):  
Justyna Masłyk
Keyword(s):  
Social Networks ◽  
Social Media ◽  
New Media ◽  
Entire Population ◽  
The Internet ◽  
Research Project ◽  
Media Development ◽  
Preliminary Results ◽  
Online Presence ◽  
Use Of Social Media

Abstract The main purpose of this article is to present the results of research concerning the use of social media by companies from the SME sector in Podkarpackie Province. The article includes data obtained in the first stage of the study, which is a part of a research project on the use of social media in the area of creating the image of an organization / company as an employer.The survey covered the entire population of companies from the SME sector, which are registered in Podkarpackie Province (REGON database). The research phase, the results of which are presented in this article, mainly involved the analysis of data on companies from the SME sector in Podkarpackie Province in terms of their presence on the Internet (having an individual website, having company profiles on selected social networks). The results of the first stage of the study confirm that the companies see the potential of the online presence / functioning in social media (more and more companies have their own website, Facebook profiles). The dynamics of changes in this area is definitely not adequate to the pace of new media development. On the basis of preliminary results of further stages of the research, it can also be concluded that in the vast majority of cases, however, these are non-strategic and non-systematic activities.

Is Social Media Marketing Really Working?

2013 ◽  
pp. 174-193 ◽  
Author(s):  
Felipe Uribe Saavedra ◽  
Josep Rialp Criado ◽  
Joan Llonch Andreu
Keyword(s):  
Social Networks ◽  
Social Media ◽  
Online Social Networks ◽  
Business Performance ◽  
Dynamic Capabilities ◽  
Social Media Marketing ◽  
Marketing Tool ◽  
Use Of Social Media ◽  
Marketing Intensity ◽  
The Impact

Online social networks have become the fastest growing phenomenon on the Internet and firms are beginning to take advantage of them as a marketing tool. However, the strategic importance of social media marketing is not yet clear, given the novelty and the difficulty of measuring its impact on business performance. This study uses data from 191 Spanish firms from several sectors to measure the impact of the intensity of use of social media marketing on the relationship between the dynamic capabilities of market orientation and entrepreneurial orientation, and business performance. The results provide evidence of the moderating effects of social media marketing intensity on the strength of the mentioned relations and the importance of a strong and committed marketing strategy on digital social networks for businesses.

Social Media Analytics

2013 ◽  
pp. 212-228
Author(s):  
Sunil Kr Pandey ◽  
Vineet Kansal
Keyword(s):  
Social Networks ◽  
Social Media ◽  
Online Social Networks ◽  
Medical Science ◽  
Multimedia Data ◽  
Social Media Analytics ◽  
Multimedia Networks ◽  
Linkage Data ◽  
Insurance Sector ◽  
Tremendous Amount

Many popular online social networks such as Twitter, LinkedIn, and Facebook have become increasingly popular. In addition, a number of multimedia networks such as Flickr have also seen an increasing level of popularity in recent years. Many such social networks are extremely rich in content, and contain tremendous amount of content and linkage data which can be leveraged for analysis. The linkage data is essentially the graph structure of the social network and the communications between entities; whereas the content data contains the text, images and other multimedia data in the network. The growth of the usage and penetration of social media in the recent years has been enormous and unprecedented. This significant increase in its usage and increased number of users, there has been trend of a substantial increase in the volume of information generated by users of social media. Irrespective of primary domain in which organization is operating in to, whether it is insurance sector, social media (including facebook, twitter etc), medical science, banking etc. Virtually a large number of varying nature and services of organizations are making significant investments in social media. But it is also true that many are not systematically analyzing the valuable information that is resulting from their investments. This chapter aims at providing a data-centric view of online social networks; a topic which has been missing from much of the literature and to draw unanswered research issues which can be further explored to strengthen this area.

Is Social Media Marketing Really Working?

2014 ◽  
pp. 1260-1279 ◽  
Author(s):  
Felipe Uribe Saavedra ◽  
Josep Rialp Criado ◽  
Joan Llonch Andreu
Keyword(s):  
Social Networks ◽  
Social Media ◽  
Online Social Networks ◽  
Business Performance ◽  
Dynamic Capabilities ◽  
Social Media Marketing ◽  
Marketing Tool ◽  
Use Of Social Media ◽  
Marketing Intensity ◽  
The Impact

Online social networks have become the fastest growing phenomenon on the Internet and firms are beginning to take advantage of them as a marketing tool. However, the strategic importance of social media marketing is not yet clear, given the novelty and the difficulty of measuring its impact on business performance. This study uses data from 191 Spanish firms from several sectors to measure the impact of the intensity of use of social media marketing on the relationship between the dynamic capabilities of market orientation and entrepreneurial orientation, and business performance. The results provide evidence of the moderating effects of social media marketing intensity on the strength of the mentioned relations and the importance of a strong and committed marketing strategy on digital social networks for businesses.

Towards a Unified Semantic Model for Online Social Networks to Ensure Interoperability and Aggregation for Analysis

2018 ◽  
pp. 978-1003
Author(s):  
Asmae El Kassiri ◽  
Fatima-Zahra Belouadha
Keyword(s):  
Social Networks ◽  
Social Media ◽  
Online Social Networks ◽  
Semantic Model ◽  
Semantic Web Technologies ◽  
Web Technologies ◽  
Knowing That ◽  
The Social ◽  
Industrial Projects ◽  
Media Organizations

The Online Social Networks (OSN) have a positive evolution due to the diversity of social media and the increase in the number of users. The revenue of the social media organizations is generated from the analysis of users' profiles and behaviors, knowing that surfers maintain several accounts on different OSNs. To satisfy its users, the social media organizations have initiated projects for ensuring interoperability to allow for users creating other accounts on other OSN using an initial account, and sharing content from one media to others. Believing that the future generations of Internet will be based on the semantic web technologies, multiple academic and industrial projects have emerged with the objective of modeling semantically the OSNs to ensure interoperability or data aggregation and analysis. In this chapter, we present related works and argue the necessity of a unified semantic model (USM) for OSNs; we introduce a kernel of a USM using standard social ontologies to support the principal social media and it can be extended to support other future social media.

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