doktorska disertacija
Lili Nemec (Author), Tatjana Welzer-Družovec (Mentor)

Abstract

Doktorska disertacija obravnava dinamiko zasebnosti za razkrivanjem informacij na družbenih omrežjih. Z analizo literature smo identificirali faktorje, ki bi jih lahko vključili v model dojemanja zasebnosti in razkrivanja informacij. Nato smo predstavili raziskovalni model, ki smo ga preizkusili z izvedbo ankete, v kateri so bili sodelujoči uporabniki družbenega omrežja Facebook. Na podlagi pridobljenih faktorjev smo definirali in oblikovali merljivi model, po pridobljenih rezultatih pa še končni strukturni model. Rezultati končnega modela so pokazali, da zavedanje o zasebnosti, družbena norma zasebnosti, politika zasebnosti, nadzor zasebnosti, vrednost zasebnosti in skrb za zasebnost vplivajo na samorazkrivanje informacij. Zavedanje o zasebnosti razlaga obveščenost uporabnikov o vprašanjih zasebnosti, družbena norma zasebnosti pa vpliv bližnjih oseb na dojemanje zasebnosti uporabnika. Politika zasebnosti meri, kako uporabniki dojemajo politiko zasebnosti omrežja Facebook, nadzor zasebnosti pa, koliko nadzora menijo uporabniki, da imajo nad tem, kdo dostopa do njihovih informacij na profilu na omrežju Facebook. Mnenje uporabnika o zasebnosti je vključeno v vrednost zasebnosti, zaskrbljenost uporabnika za njegovo zasebnost pa v skrb za zasebnost. Vse te spremenljivke vplivajo na samorazkrivanje informacij, ki meri, koliko osebnih informacij uporabniki objavljajo na družbenih omrežjih. Pri interpretaciji rezultatov moramo upoštevati tudi omejitve raziskave. Izvirni znanstveni prispevek doktorske disertacije so nova znanja o dojemanju zasebnosti in vplivom tega na razkrivanje oziroma objavo informacij na družbenih omrežjih. Rezultati so lahko temelj za razvoj novih modelov, ki jih lahko prenesemo tudi na druge domene, kot so aplikacije mobilnih naprav in druga družbena omrežja, prav tako lahko rezultate uporabijo uporabniki družbenih omrežij, pa tudi ponudniki družbenih omrežij za boljše razumevanje o vplivih na razkrivanje informacij na omrežju Facebook. Rezultati disertacije prav tako odpirajo možnosti za nadaljnje raziskave na področju zasebnosti, razkrivanja informacij ali družbenih omrežij.

Keywords

zasebnost;družbene komunikacije;objavljanje osebnih informacij;Facebook;ankete;strukturno modeliranje;Družbena omrežja;Disertacije;Razkrivanje informacij;

Data

Language: Slovenian
Year of publishing:
Typology: 2.08 - Doctoral Dissertation
Organization: UM FERI - Faculty of Electrical Engineering and Computer Science
Publisher: L. Nemec Zlatolas]
UDC: 316.472.45:343.45(043.3)
COBISS: 19097366 Link will open in a new window
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Other data

Secondary language: English
Secondary title: Model of privacy effects on the information disclosure of users of the social networking site Facebook
Secondary abstract: This doctoral thesis explains the dynamics of privacy behind information disclosure on social networking sites. With the help of a literature analysis, we identified factors that could be included into a model of privacy comprehension and information disclosure. Additionally, a research model is presented that was tested using a questionnaire, which included users of the social networking site Facebook. Based on these factors, we defined and created a measurement model. Furthermore, after an analysis of the data, we also defined a structural model. The results of the final model show that privacy awareness, privacy social norms, privacy policy, privacy control, privacy value and privacy concerns do have an effect on self-disclosure on Facebook. Privacy awareness explains how users are informed on privacy problems. The privacy social norms explain the effect of trustworthy and close persons on the comprehension of user’s privacy. The privacy policy measures how users comprehended the privacy policy of social networking site Facebook, while privacy control measures how much control users believe they have over who can access their information on Facebook. The opinion of the privacy of users is included in the privacy value and concerns for users’ privacy in the privacy concerns variable. All these variables have an effect on the self-disclosure of information, which measures how much personal information users publish on social networking sites. Limitations of research also have to be taken into account. The scientific contribution of this doctoral thesis is the new knowledge on privacy comprehension and its effect on disclosure and publishing of personal information on social networking sites. The results can be used in new models, which can also be applied to other domains, such as mobile applications or other social networking sites. Additionally, the results can be used by social networking users as well as social network providers for a better understanding of the influence of disclosure of information on the social networking site Facebook. The results of the thesis also open new possibilities for future research on the field of privacy, disclosure and social networking sites.
Secondary keywords: privacy;disclosure;social networking sites;Facebook;questionnaire;structural equation modeling;
URN: URN:SI:UM:
Type (COBISS): Doctoral dissertation
Thesis comment: Univ. v Mariboru, Fak. za elektrotehniko, računalništvo in informatiko
Pages: XV, 157 str.
ID: 9057113