匿名评论:Instagram用户平衡利用率和匿名性的贪婪方法

Arian Askari, Asal Jalilvand, Mahmood Neshati
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引用次数: 2

摘要

在许多在线服务中,用户不可能匿名评论;因此,用户不可能在不顾后果的情况下表达他们的批评意见。目前,匿名评论的方法有naïve,这会给用户评论的分析服务带来问题。在本文中,我们探讨了匿名评论方法及其优缺点。我们还提出了匿名评论的方法,在允许服务提供商进行情感分析的同时,可以保护用户隐私。我们的实验是在从Instagram评论中收集的真实数据集上进行的,这表明我们提出的方法在隐私保护和情感分析方面是有效的。所提出的方法独立于特定的网站,可用于各种领域。
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On Anonymous Commenting: A Greedy Approach to Balance Utilization and Anonymity for Instagram Users
In many online services, anonymous commenting is not possible for the users; therefore, the users can not express their critical opinions without disregarding the consequences. As for now, naïve approaches are available for anonymous commenting which cause problems for analytical services on user comments. In this paper, we explore anonymous commenting approaches and their pros and cons. We also propose methods for anonymous commenting where it's possible to protect the user privacy while allowing sentimental analytics for service providers. Our experiments were conducted on a real dataset gathered from Instagram comments which indicate the effectiveness of our proposed methods in privacy protection and sentimental analytics. The proposed methods are independent of a particular website and can be utilized in various domains.
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