The term " social media " refers to the wide range of Internet-based and mobile services that allow users to participate in online exchanges, contribute user-created content, or join online communities. Online social networks are websites that allow users to build connections and relationships to other Internet users. Social networks store information remotely, rather than on a user's personal computer. Social networking can be used to keep in touch with friends, make new contacts and find people with similar interests and ideas. The relation between privacy and a person's social network is multi-faceted. There is a need to develop more security mechanisms for different communication technologies, particularly online social networks. Privacy is essential to the design of security mechanisms. Most social networks providers have offered privacy settings to allow or deny others access to personal information details. In certain occasions we want information about ourselves to be known only by a small circle of close friends, and not by strangers. In other instances, we are willing to reveal personal information to anonymous strangers, but not to those who know us better, Social media's become one of the most important part of our daily life as it enables us to communicate with a lot of people. Creation of social networking sites such as MySpace, LinkedIn, and Face book, individuals are given opportunities to meet new people and friends in their own and also in the other diverse communities across the world. Users of social-networking services share an abundance of personal information with a large number of " friends. " This improved technology leads to privacy violation where the users are sharing the large volumes of images across more number of peoples. This privacy need to be taken care in order to improve the user satisfaction level. The goal of this survey is to provide a comprehensive review of various privacy policy approaches to improve the security of information shared in the social mediasites.

Social Network Sites (SNS) have increasingly grown as platforms for users to publish and promote content (which includes videos, written texts, and images), in addition to interacting socially. While all published material both online and offline is normally protected by copyright laws, what constitutes copyrighted material on SNS can be difficult to distinguish. Moreover, users on these sites can have differing expectations of how their content is used and viewed by others, causing confusion around both the legal and ethical obligations of others when they use or cite others’ content. Knowing when to attribute content to users and when to protect user privacy is, therefore, a key issue for researchers, particularly linguists working with language data from SNS. Using three case studies, this article looks at content from SNS where applying copyright rules might be problematic: videos that have been published and subsequently removed from a site; user comments on videos published on YouTube and Facebook; and user comments on sites, which might be considered sensitive, such as adult video pages. I discuss the legal obligations in using this content, by first presenting examples where there is a clear legal requirement to cite the copyrighted work of users. I then highlight the ambiguity of copyright law and suggest ways problematic cases might be addressed, enabling the researcher to act both legally and ethically in copying and using online material. In conclusion, I argue based on these studies that attribution of publicly available content on SNS should be the default position, but that the effect of reproducing materials for academic purposes should be taken into account.

Social networking websites play an essential role in connecting with people in today's world and the images shared among the people have increased tremendously. The main problem arises in dealing with privacy policies for such enormous volume of user images. To overcome this issue, Adaptive Privacy Policy Prediction model is developed which predicts the privacy policies to each uploaded images. A3P model is a two level framework comprising of A3P Core and A3P Social. The uploaded images are provided with the best privacy policy by analyzing the image content, social content, metadata and user history.

Libraries have evolved over time in tandem with the prevailing innovations. This is evidenced by the changes witnessed from the time writing was done on clay tablets to the virtual libraries of today. Technological advancement has been a key pillar of the development of libraries. Indeed, it has given rise to digital libraries that have given access and use of information resources a new focus. Technological developments such as Web 2.0, and specifically social media as well as social networking, have enabled users to access creative works in digital libraries freely. Similarly, they have enabled library users to share the same content freely on social networks. This situation has brought a conflict with copyright laws that require users of creative works to seek permission from their owners before accessing or sharing them. This chapter analyses this conflict and provides recommendations on how it can be managed.