Enhancing the privacy risk awareness of teenagers in online social networks through soft-paternalism mechanisms
| Autor: | Juan M. Alberola, José Alemany, E. del Val, Ana García-Fornes |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Risk awareness
Computer science Process (engineering) Internet privacy Online disclosure Human Factors and Ergonomics 02 engineering and technology Education Paternalism 020204 information systems 0202 electrical engineering electronic engineering information engineering Soft-paternalism Social network business.industry 05 social sciences General Engineering 050301 education Audit risk Human-Computer Interaction Behavioral bias Privacy Hardware and Architecture Publishing Metric (unit) business LENGUAJES Y SISTEMAS INFORMATICOS 0503 education Software |
| Zdroj: | RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia instname |
| ISSN: | 1071-5819 |
| DOI: | 10.1016/j.ijhcs.2019.03.008 |
| Popis: | [EN] Privacy Risk in Online Social Networks (OSNs) is one of the main concerns that has increased in the last few years. Even though social network applications provide mechanisms to control risk, teenagers are not often aware of the privacy risks of disclosing information in online social networks. The privacy decision-making process is complex and users often do not have full knowledge and enough time to evaluate all potential scenarios. They do not consider the audience that will have access to disclosed information or the risk if the information continues to spread and reaches an unexpected audience. To deal with these issues, we propose two soft-paternalism mechanisms that provide information to the user about the privacy risk of publishing information on a social network. That privacy risk is based on a complex privacy metric. To evaluate the mechanisms, we performed an experiment with 42 teenagers. The proposed mechanisms were included in a social network called Pesedia. The results show that there are significant differences in teenagers¿ behaviors towards better privacy practices when the mechanisms are included in the network. This work is partially supported by the Spanish Government project TIN2017-89156-R and the FPI grant BES-2015-074498. |
| Databáze: | OpenAIRE |
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