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Recently, with an increase in Internet usage, users of online social networks (OSNs) have increased. Consequently, privacy leakage has become more serious. However, few studies have investigated the difference between privacy and actual behaviors. In particular, users' desire to change their privacy status is not supported by their privacy literacy. Presenting an accurate measurement of users' privacy status can cultivate the privacy literacy of users. However, the highly interactive nature of interpersonal communication on OSNs has promoted privacy to be viewed as a communal issue. As a large number of redundant users on social networks are unrelated to the user's privacy, existing algorithms are no longer applicable. To solve this problem, we propose a structural similarity measurement method suitable for the characteristics of social networks. The proposed method excludes redundant users and combines the attribute information to measure the privacy status of users. Using this approach, users can intuitively recognize their privacy status on OSNs. Experiments using real data show that our method can effectively and accurately help users improve their privacy disclosures. 相似文献
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在分析气体摩尔体积的教学目标、内容、现状以及所蕴含的化学学科素养的前提下,研发了指向深度学习、促进学生化学学科核心素养发展的课堂教学软件。通过该教学软件呈现可视化证据,解决气体摩尔体积教学中的挑战性问题并实现深度学习。 相似文献
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科学精神是科学发展过程中形成的规范、文化和价值取向,具有探索、质疑、求是、执着、创新等特点。以化学史为主线,从“门捷列夫与元素周期律的故事”这一角度进行教学设计,探索中学化学创新教学,努力落实科学精神等核心素养。 相似文献
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