Social Networking Communities and E-Dating Services: Concepts and - Google Книги
The complete list of all Social Networking sites that are ideal to find a relationship Each of our reviewed Social Networking services also allows for submitted. E-dating is now among the largest global e-commerce sectors, allowing for interaction that was once not possible. Despite its dominance in the e-commerce . In Social Networking Communities and eDating Services, editors Celia book in two major sections: 1) social networking communities and 2) e-dating services.
It is also necessary that appropriate texts be created to teach students and the general public how to understand and cope with the new reality that social networking communities have created.
Is Social the Future of Online Dating? | Social Media Today
Concepts and Implications, addresses this goal. By providing an overview of the major questions that researchers and practitioners in this area are addressing at this time and by outlining the possible future directions for theory development and empirical research on social networking and eDating, this volume contributes toward closing the gap that currently exists in this area.
Before we consider the specific issues that are covered by the authors of this volume, it is important to discuss how the two focus areas for our book, social networking communities and eDating services, relate to each other.
A useful theoretical concept that can help us chart the social networking terrain is that of the business model. Thus, we can think of the different sub-categories of social networking communities, one of which is eDating services, as different business models. All the business models that fit under the category of social networking communities share the same purpose, namely, they all provide electronic platforms for social networking among their users.
However the services differ in the manner in which they provide support for their users and in the type of users that they attract. These subcategories can be seen as a continuum, where each type represents a different level of involvement on the part of the company that provides the service.
Thus, while the first type in our categorization, sub-category 1represents a relatively low level of involvement on the part of the company that provides the service, the last type of in the categorization sub-category 4 represents a high level of involvement of the company in the interactions that take place on its website. Based on this logic, we distinguish between the following four types of social networking communities or services: The blogging service - Examples of this type of social networking community would be MySpace or FaceBook.
These services provide a space for bloggers to set up a presence on the company website. Even though bloggers can join groups and can contact individuals that are members of the service, the company does not get involved in these interactions in any active way.
Is Social the Future of Online Dating?
YouTube is another example of this type of service. The groups creating service - An example of this type of social networking community would be YahooGroups. The support service- An example of this type of social networking community would be the virtual communities established by companies for their customers. The virtual communities serve different purposes ranging from customer support Del. The major contribution of the company here is in the matching process.
We consider the fourth sub-category of the model an example of the highest level of involvement by the company because the company does not just set up the platform that enables the social interaction between users but actually provides value adding matching services.
Thus, even though users are expected to establish a webpage or a profile and even though some services do provide discussion forums or chat-rooms, the major service that the company provides is the matching of individual users to each other. And, yes, just like the previous type of social networking service, here too, the company is making a profit by charging both parties a fee for its matching service.
It should be noted that even though the above categorization suggests that the four types are distinct this may not always be the case. Thus, SecondLife, a relatively new player in the social network arena, demonstrates that several of the above types can be combined into one service.
To reflect the double foci of this book, we organized it in two major parts: Each part follows a similar internal structure in that the discussion moves from the individual level of analysis in the very first sub-sections to the group level, and, then, to the global or societal level of analysis.
Each of the two major parts of the book is further sub-divided into a number of sub-sections. In the following sections, we present each of these sub-sections with some detail on the issues that are discussed in them.
Social Networking Communities 1. Why people join social networking communities The first section in the social networking part of the book presents two papers that focus on individual aspects that motivate people to join social networking communities or explain their behavior once they have joined.
In chapter 2, Hugo Liu, Pattie Maes, and Glorianna Davenport discuss a technical facet of the interaction between individuals and social networking services, namely, the algorithms that enables matching of individuals based on their self reported tastes.
The data source for this investigation was the text of oversocial profiles in which users described their taste in music, books, films, food, etc. In chapter 3, Nina Ziv discusses the ways in which users of mobile virtual networks have become important sources of innovation rather than simply users of a technology that is provided by a service. The basis for this article is data gleaned from three case studies of mobile social networking services, Upoc, Dodgeball and Tapuz.
Based on the three case studies, the author demonstrates that by participating in these networks, users provide feedback to the companies on the performance of existing products, the development of new products, and the marketing of products to potential new users. As noted by the author of this chapter, members of social networking communities can select appealing or repelling avatars to represent them in the community.
Utilizing an ecological cognition framework, the author demonstrates that members of social networking communities who use avatars with antisocial connotations are more likely to be rated less positively than those who use more sophisticated avatars with positive connotations. They also demonstrate that just like in work related organizations, the most successful player groups are cohesive, well managed entities that expect their members to adhere to their rules of behavior.
In chapter 6, Sylvie Albert and Rolland Labrasseur discuss community development networks and the impact that collaboration has on innovative projects. The theoretical basis for this chapter was a change management framework, which denotes the role that the researchers played as change agents in the projects that they describe. The chapter considers the phases in the project development in terms of both content and process, exploring the effect that user involvement had on technology appropriation.
The chapter concludes with insights for policy makers on how to plan and manage successful community networks over time. In chapter 7, Pippa Norris describes the impact of electronic based social networks on cause-oriented and civic forms of political activism. The chapter is based on a model that links the use of Internet based social networks with the propensity to engage in social movements and interest groups. Survey data and key measures of political activism are used as the data source for this chapter, drawing upon the nation European Social Survey, to examine the relationship between the use of the Internet and indicators of civic engagement.
The findings indicate that the most important factors predicting political activism are political efficacy a feeling that the person could influence the political processage, education, region and civic duty.
As expected, after these factors, the use of the Internet proved the next strongest predictor of political activism. In chapter 8, Malte Geib, Christian Braun, Lutz Kolbe, and Walter Brenner analyze the design factors of community systems in two real-world professional communities — a learning network and an expert network — that employ a mix of communication modes, that is, face-to-face communication and computer-mediated communication.
The objectives of this action research study were to determine which design factors influence community activity and therefore community output.
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The findings demonstrated that since the interactions in these communities started in the face-to-face mode and only at a later stage migrated to the on-line environment, that systems that would support community output had to improve both face-to-face communication and on-line work processes 1. In chapter 9, Maryann Mori reviews a number of key papers and statistics on the use of social networking by teen-agers.
Wandel presents information on the usages and intent of social media by college students and university administrators. The author utilizes primary and secondary quantitative data, as well as qualitative information obtained from interviews with multiple constituents.
Theories of self-esteem, interpersonal communication, decision making, and innovation diffusion are integrated throughout the chapter to present a coherent set of recommendations to university policy makers on how to utilize social networks in the university environment. Such postings included negative work-related attitudes, the use of profanity, and comments regarding alcohol abuse, use of drugs and sexual activities.
Respondents to the survey employed in this study indicated that all five types of information were relevant to hiring decisions and that they would be unlikely to pursue candidates who posted such information.
An Instagram-like approach to dating, this app allows users to share photos of themselves, search other users' photos, chat and send private messages as well. The approach at least allows users to see "the real person" behind a profile. The social aspect is more powerful: The potential for marketers is in collecting behavioral data, to understand what this demographic likes and needs. The site is currently a startup, but could become increasingly appealing to advertisers in industries like fashion, adult entertainment, hospitality, and so on.
For a completely difference take, a separatley identifiable approach is used by Tawkify. Billed as "A Personal Concierge to your Dating Life," this avante garde approach to digital dating help is far departed from what most Internet users have ever experienced before. Essentially users of this service get their own personal Cyrano de Bergerac love helper and some social science to help ensure the perfect date. Addressing the whole dating thing from yet another angle, Hitch.
Privacy filters ensure that professional profiles are only revealed to selected groups like certain industries and so on. The service monetizes partially by charging a fee to unlock someone's profile via a credit system.
In conclusion, while the human interaction involved in dating has always been a crucial part of our societal normative behavior, somehow social networking has not been fully refined as way connective conduit in this super intimate realm.
What Technology Does to Meeting and Mating", discusses how online dating has profoundly affected us already. For one thing the ever widening dating pool, according to Slater, increases the alternatives we all have before us, thereby decreasing the chance of commitment. At the end of the day however, the real chemistry that may "appear" to take place online, simply must be verified in the physical world.
That is until some tech developer comes up with a virtual innovation as intense as our natural physcial attractions make up close and personal encounters so.
social networking Communities and edating services : Concepts and implications
Maybe the best advice for anyone considering these dating hubs is to make the right choices no matter how many choices you are given. What do you think? Follow Phil Butler on Twitter.