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A Framework for Privacy and Hate Speeches Control on Social Media in Mobile Computing

机译:移动计算中社交媒体上的隐私和仇恨言论控制框架

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摘要

The hype in information technology has led to the use of mobile devices to carry out several activities such as financial transactions, communications, learning and other related activities using the internet. Social networking platforms today are used to facilitate the activities carried out on mobile devices. The use of these social network platforms such as Facebook, Twitter, Whatsapp, Snapchat, Instagram among others on mobile devices is called mobile social network. A mobile social network makes it faster and easier for users to relate to one another and carry out other related activities at convenience. The major challenge with the use of social network applications on mobile devices is that, many illegal activities are carried out such as hate speeches and bigotry statement which has demeaning the interest of users. This research work proposes a technique for discovering and blocking hate speeches and bigotry users on social network platforms using text scanning and matching algorithm; in order to curtail the damages caused to national security and unity by such statement.
机译:信息技术的大肆宣传已导致使用移动设备通过互联网开展多项活动,例如金融交易,通信,学习和其他相关活动。今天的社交网络平台用于促进在移动设备上进行的活动。在移动设备上使用这些社交网络平台(例如Facebook,Twitter,Whatsapp,Snapchat,Instagram等)被称为移动社交网络。移动社交网络使用户之间相互联系和方便地进行其他相关活动变得更快,更容易。在移动设备上使用社交网络应用程序的主要挑战是,进行了许多非法活动,例如仇恨言论和偏执言论,这已经贬低了用户的利益。这项研究工作提出了一种使用文本扫描和匹配算法在社交网络平台上发现和阻止仇恨言论和偏执用户的技术。为了减少这种声明对国家安全和统一造成的损害。

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