Computer Engineering / Bilgisayar Mühendisliği

Permanent URI for this collectionhttps://hdl.handle.net/11147/10

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  • Conference Object
    An Analysis of Rumor Spreading Fundamentals With a Case Study on Facebook
    (Karabük Üniversitesi, 2018) Sayin, Burcu; Şahin, Serap
    Nowadays, the effect of social networks on people's lives is quite high. This situation gives rise to the density of information exist over social networks. That is why, analyzing the spreading pattern of information on social networks is an important issue today. The aim of this study is to technically review the background of information spreading, especially the fundamentals of rumor spreading and analyze the well-known methods on SNs. As a result, this article provides an important background for those, who works on the information spreading over SNs.
  • Article
    Privacy Issues on Social Networks
    (Gazi Üniversitesi, 2018) Şahin, Serap
    The privacy is a need for humanity since the creation of civilizations. In social networks the common point is that each user has to create a profile to define his or her own identity. The profile description includes many items with privacy settings to tune their visibility degrees for only owner, friends, friends of friends and sometimes for public. After enrolment stage, users extend their social connection graphs with accepted new friends and these graphs grow without the control of individual due to the new friends of friends. Hence, with high probability, the shared information of member is generally available to public and can be retrieved by users around the world. This article is prepared to give an overview on the reasons of privacy concerns and risks of SNs, and summarize the current and future possible solution directions for researchers and governments.
  • Article
    Citation - WoS: 2
    Privacy Issues in Post Dissemination on Facebook
    (Türkiye Klinikleri Journal of Medical Sciences, 2019) Sayın, Burcu; Şahin, Serap; Kogias, Dimitrios G.; Patrikakis, Charalampos Z.
    With social networks (SNs) being populated by a still increasing numbers of people who take advantage of the communication and collaboration capabilities that they offer, the probability of the exposure of people's personal moments to a wider than expected audience is also increasing. By studying the functionalities and characteristics that modern SNs offer, along with the people's habits and common behaviors in them, it is easy to understand that several privacy risks may exist, many of which people may be unaware of. In this paper, we focus on users' interactions with posts in a social network (SN), using Facebook as our research domain, and we emphasize some privacy leakages currently existing in Facebook's privacy policy. We also propose a solution to detected privacy issues, featuring a reference implementation of a tool based on a simulation, which visualizes the effect of potential privacy risks on Facebook and directs users to control their privacy. The proposed and simulated tool allows a post owner to observe the spreading area of his or her post depending on the selected privacy settings. Moreover, it provides preliminary feedback for all Facebook users that have interacted with this post, to make them aware of the possible privacy changes, aiming to give them a chance to protect the privacy of their interaction on this post by deleting it when an unwanted privacy change takes place. Finally, an online survey to increase privacy awareness in Facebook usage with over 500 volunteer participants has illuminated the need for such a tool or solution.