| 吴标兵,许和隆,张宇.中国公众隐私敏感度实证研究[J].南京邮电大学学报(社会科学版）,2015,(03):82~90 |
| 中国公众隐私敏感度实证研究 |
| Empirical research on privacy sensitivity of the Chinese public |
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| DOI： |
| 中文关键词: 隐私计算 隐私敏感 隐私忧虑 物联网 |
| 英文关键词:privacy calculus privacy sensitivity privacy concerns IoT |
| 基金项目:浙江省科协2013年度项目“浙江省公众对隐私的认知状况调查与研究”（P201315）；南京邮电大学江苏省高校哲学社会科学重点研究基地项目“智慧城市建设中物联网技术选择模式及发展路径研究”（JDS215002） |
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| 中文摘要: |
| 基于隐私计算，在利益驱动下，对于多数隐私信息，中国公众隐私敏感度有所降低；基于隐私忧虑，即使存在利益诱惑，中国公众对某些隐私的敏感度反而有所提高。对无利益模式下隐私和有充分利益吸引力模式下的隐私认知进行对比分析，发现有12种敏感隐私，并将其他17种一般隐私划分为较为关注、一般关注和不关注3种。中国公众对通讯隐私、生活隐私和人身隐私敏感度较高，年龄、学历、性别对隐私敏感度产生影响。对于敏感隐私，采取严格的事先同意原则；对于一般隐私，采取选择退出原则。应该在隐私相关立法和自律规范上给予弱势群体柔性的人文关怀。 |
| 英文摘要: |
| Based on privacy calculus, Chinese public pay less attention to much privacy when driven by interests;on the other hand, out of privacy concerns, even when tempted by interests, Chinese public think highly of certain privacy. Through analysis and comparison of non interest and interest privacy model, we find that there are twelve types of sensitive privacy and other seventeen general types of privacy which could be divided into three categories: sensitive, commonly sensitive, non sensitive. Chinese public pay more attention to the electronic communications privacy, personal life privacy and personnel privacy. Age, education background and gender have influence upon privacy sensitivity. For sensitive privacy, opt in rule may be a first priority, while opt out rule would accord with commonly sensitive privacy. In order to create a feeling of human warmth, flexibility should be given to vulnerable groups in legislation and self regulatory rules. |
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