Abstract: Library should strengthen the protection of library users’ privacy, scientifically evaluate the users’ privacy leakage tolerance, and reasonably quantify the controllable range of users’ privacy leakage, and then provide theoretical guidance and measurement tool for the information processing and privacy protection during library’s big data service. Through questionnaire survey, this paper investigated the users’ privacy leakage tolerance under the background of library’s big data service from three dimensions including information style sensitivity, information collection sensitivity and information usage sensitivity. Through analyzing the privacy leakage risks and causes, it studied empirically the current situation, characteristics and influential factors of privacy leakage tolerance through correlation analysis and regression analysis. The result showed that library users’ privacy leakage tolerance was overall at a moderately low level, and showed significant individual difference and was influenced by demographic factors of gender, age, occupation, education level and income level. Library should protect the users’ legitimate interest and carry out big data service from the six aspects of improving the standardization, enhancing the transparency, improving the security, realizing the compatibility, ensuring the humanization and promoting the resilience.

Key words: Big data