Effects of reputation systems and group decision making systems usage on online social networks

Kaya G., Badwan A.

7th International Conference on Social Network Analysis, Management and Security, SNAMS 2020, Virtual, Paris, France, 14 - 16 December 2020 identifier identifier

  • Publication Type: Conference Paper / Full Text
  • Volume:
  • Doi Number: 10.1109/snams52053.2020.9336550
  • City: Virtual, Paris
  • Country: France
  • Keywords: social networks, conceptual modelling, trust and reputation, group decision making, security, CONSENSUS MODEL, FEEDBACK MECHANISM, TRUST
  • Recep Tayyip Erdoğan University Affiliated: Yes


© 2020 IEEE.The use of online social networks is one of daily activity for people. OSNs' users share contents which sometimes has other users' information on. This type of data sharing is called co-owned data sharing and it is one of the most popular reasons for privacy leakages in OSNs platforms. OSNs' users claim that the responsibility of preserving users' privacy should be taken by those platforms. To do so, there are different approaches taken by OSNs for protecting users' privacy and providing the most secure environment to their users. This study proposes a model which should be adopted by OSNs platforms for a more secure environment. The model is developed on top of a hypothesis, the proof of the hypothesis is done with analysis on two questionnaires. Results of the analysis show that group decision making and reputation systems are needed to have more secure online social network platforms.