The Role of Social Media and Social Networking in Information Service Provision

Author(s):  
Edeama O. Onwuchekwa

Social networking is a Web-based service that allows individuals to construct a public or semi-public profile within a bounded system, articulate a list of other users with whom they share a connection, and view and navigate their list of connections and those made by others within the system. No doubt, social media has great potential in taking library operations to the next level. It is in the light of this that this chapter examines the role of social media and social networking in information service provision in libraries. To achieve this objective, the chapter looks at social media as a tool in libraries, advantages of social media in libraries, social media and social networks, and practical examples on the use of social media and social network tools together with how libraries can forge ahead due to the use and application of social media and social networks to their daily operations. Conclusion and recommendations based on these highlights are provided.

Author(s):  
Vipin K. Nadda ◽  
Sumesh Singh Dadwal ◽  
Dirisa Mulindwa ◽  
Rubina Vieira

Revolutionary development in field of communication and information technology have globally opened new avenue of marketing tourism and hospitality products. Major shift in web usage happened when Napster in 1999 released peer-to-peer share media and then with pioneer social networking websites named ‘Six Degrees'. This kind of interactive social web was named as ‘Web 2.0'. It would create openness, community and interaction. Web2. is also known as Social media base. Social media is incudes “all the different kinds of content that form social networks: posts on blogs or forums, photos, audio, videos, links, profiles on social networking web sites, status updates and more”. It allows people to create; upload post and share content easily and share globally. Social media allows the creation and exchange of user-generated content and experiences online. Thus, social media is any kind of information we share with our social network, using social networking web sites and services.


2018 ◽  
pp. 1318-1339
Author(s):  
Vipin K. Nadda ◽  
Sumesh Singh Dadwal ◽  
Dirisa Mulindwa ◽  
Rubina Vieira

Revolutionary development in field of communication and information technology have globally opened new avenue of marketing tourism and hospitality products. Major shift in web usage happened when Napster in 1999 released peer-to-peer share media and then with pioneer social networking websites named ‘Six Degrees'. This kind of interactive social web was named as ‘Web 2.0'. It would create openness, community and interaction. Web2. is also known as Social media base. Social media is incudes “all the different kinds of content that form social networks: posts on blogs or forums, photos, audio, videos, links, profiles on social networking web sites, status updates and more”. It allows people to create; upload post and share content easily and share globally. Social media allows the creation and exchange of user-generated content and experiences online. Thus, social media is any kind of information we share with our social network, using social networking web sites and services.


Author(s):  
Carson K.-S. Leung ◽  
Irish J. M. Medina ◽  
Syed K. Tanbeer

The emergence of Web-based communities and social networking sites has led to a vast volume of social media data, embedded in which are rich sets of meaningful knowledge about the social networks. Social media mining and social network analysis help to find a systematic method or process for examining social networks and for identifying, extracting, representing, and exploiting meaningful knowledge—such as interdependency relationships among social entities in the networks—from the social media. This chapter presents a system for analyzing the social networks to mine important groups of friends in the networks. Such a system uses a tree-based mining approach to discover important friend groups of each social entity and to discover friend groups that are important to social entities in the entire social network.


Author(s):  
Márcio J. Mantau ◽  
Marcos H. Kimura ◽  
Isabela Gasparini ◽  
Carla D. M. Berkenbrock ◽  
Avanilde Kemczinski

The issue of privacy in social networks is a hot topic today, because of the growing amount of information shared among users, who are connected to social media every moment and by different devices and displays. This chapter presents a usability evaluation of the privacy features of Facebook's social network. The authors carry out an evaluation composed by three approaches, executed in three stages: first by the analysis and inspection of system's features related to privacy, available for both systems (Web-based systems and mobile-based systems, e.g. app). The second step is a heuristic evaluation led by three experts, and finally, the third step is a questionnaire with 605 users to compare the results between specialists and real users. This chapter aims to present the problems associated with these privacy settings, and it also wants to contribute for improving the user interaction with this social network.


Author(s):  
Ariane J. Utomo

Across developing countries, the role of social networks and social capital in facilitating women's access to income is well documented. However, less is known about how networks facilitated by social networking sites (SNS) may transform women's economic opportunities in these regions. In this chapter, I draw upon a relatively recent phenomenon of the use of SNS as a medium of trade in urban Indonesia. In 2010, I conducted preliminary interviews to examine the dynamics of Facebook-facilitated trade among urban middle-class married women residing in Jakarta, the capital of Indonesia. The interviews highlighted beneficial links between social media, social capital, and productivity – by means of increased personal income. However, this effective link between SNS and income-generating social capital is likely to be a rather distinctive example, as it depends largely on the class, gender, and cultural specificities that shape the nature of online and offline social interactions among my target group.


2019 ◽  
pp. 097215091986886 ◽  
Author(s):  
Ameeta Jaiswal-Dale ◽  
Fanny Simon-Lee ◽  
Giovanna Zanotti ◽  
Peter Cincinelli

The aim of this research is to apply the tool of social network analysis to situations in capital sourcing, including early stage financing. The study is conducted within the social network of Medical Alley Association of Minnesota (MAA). We investigate the correlation between the main centrality measures: closeness, degree and betweenness, and the amount of funding received by the 163 MAA members during 2009–2012. Companies benefit from their social network to get access to better financing. The empirical results also provide a road map to encourage the sponsored or spontaneous growth of other social networks in related fields. Despite the financial crisis, the empirical results show how competition works when firms have established relations with others. Where an intersection occurs is merely an empirical curiosity and the causation resides in the intersection of relations. The relation that intersects on an organization determines the player’s competitive advantage.


Author(s):  
Lydia Kyei-Blankson ◽  
Kamakshi S. Iyer ◽  
Lavanya Subramanian

Social Networking Sites (SNSs) are web-based facilities that allow for social interaction, sharing, communication and collaboration in today's world. In the current study, patterns of use of social media among students at a public Midwestern university are examined. In addition, students were surveyed regarding concerns for privacy and trust and whether concerns differed by gender, ethnicity, employment and relationship status. The survey data gathered from students suggest that students mostly used SNSs from less than one hour to about 3 hours a day and for communication and maintaining relationships. Students also had academic uses for SNSs. Even though concerns for privacy and trust exist, they did not differ by gender, employment and relationship status and students are still willing to use SNSs. The findings from this research have implications for various stakeholders especially instructors who may be considering the use of SNS for academic purposes.


2019 ◽  
Vol 5 (3) ◽  
pp. 205630511984751 ◽  
Author(s):  
Itai Himelboim ◽  
Guy J. Golan

The diffusion of social networking platforms ushered in a new age of peer-to-peer distributed online advertising content, widely referred to as viral advertising. The current study proposes a social networks approach to the study of viral advertising and identifying influencers. Expanding beyond the conventional retweets metrics to include Twitter mentions as connection in the network, this study identifies three groups of influencers, based on their connectivity in their networks: Hubs, or highly retweeted users, are Primary Influencers; Bridges, or highly mentioned users who associate connect users who would otherwise be disconnected, are Contextual Influencers, and Isolates are the Low Influence users. Each of these users’ roles in viral advertising is discussed and illustrated through the Heineken’s Worlds Apart campaign as a case study. Providing a unique examination of viral advertising from a network paradigm, our study advances scholarship on social media influencers and their contribution to content virality on digital platforms.


2021 ◽  
Author(s):  
Muhammad Luqman Jamil ◽  
Sebastião Pais ◽  
João Cordeiro ◽  
Gaël Dias

Abstract Online social networking platforms allow people to freely express their ideas, opinions, and emotions negatively or positively. Previous studies have examined user’s sentiments on these platforms to study their behaviour in different contexts and purposes. The mechanism of collecting public opinion information has attracted researchers to automatically classify the polarity of public opinions based on the use of concise language in messages, such as tweets, by analyzing social media data. In this paper, we extend the preceding work [1], by proposing an unsupervised approach to automatically detect extreme opinions/posts in social networks. We have evaluated our performance on five different social network and media datasets. In this work, we use the semi-supervised approach BERT to check the accuracy of our classified dataset. The latter task shows that, in these datasets, posts that were previously classified as negative or positive are, in fact, extremely negative or positive in many cases.


Author(s):  
Rawan T. Khasawneh

During the fast growth of social media, the ways companies usually use in their marketing are changed; social networks became a great approach for companies to improve their communication with customers. The wide usage of social networking sites and tools by individuals makes companies want to think carefully on how they can benefit from such usage in rebuilding their relationship with customers and increasing their engagement level. Such companies found that social media marketing is the solution through which companies and their customers will become much closer. This chapter covers three main sections where traditional marketing and electronic marketing concepts are reviewed in the first section. Then a detailed exploration of social networks and their distinct features is presented in the second section. Finally a discussion of social network marketing tools and its related technologies is explored in the third section.


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