DESIGN OF PRIVACY PRESERVING DATA PUBLICATION METHOD FOR SOCIAL MEDIA DATA

• Main Author: Nur Khawarizmi, Muhammad
• Format: Theses
• Language: Indonesia
• Online Access: https://digilib.itb.ac.id/gdl/view/70073
• Institution: Institut Teknologi Bandung

The significant increase in the use of social media services has resulted in a large amount of user-generated data. Data generated by users is shared with the public for purposes such as analyzing consumer behavior, analyzing the spread of disease, analyzing political views and so on. The data attracts the attention of many parties such as advertising companies, governments, data miners or even those with bad intentions. However, this publication poses a threat to the privacy of its users. In the last ten years, many studies have been conducted that seek to provide solutions to protect the privacy of social media data. However, a systematic review of the dynamics of privacy research on social media, and the findings of recent approaches to privacy solutions from a broader perspective, remains unexplored in the current literature. This thesis examines the solutions and problems of privacy on social media through a systematic literature review methodology with qualitative analysis which aims to find research gaps and identify the potential for the development of methods and future research directions regarding privacy protection solutions for data on social media. In this thesis research the authors examine the state of the art on privacy protection in data publication, privacy threats, metrics for measuring the effectiveness of privacy protection methods and problems arising from privacy protection such as decreased data utility and lost information.