Please use this identifier to cite or link to this item: https://idr.l1.nitk.ac.in/jspui/handle/123456789/9862
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dc.contributor.authorChetty, N.
dc.contributor.authorAlathur, S.
dc.date.accessioned2020-03-31T06:51:36Z-
dc.date.available2020-03-31T06:51:36Z-
dc.date.issued2019
dc.identifier.citationDigital Communications and Networks, 2019, Vol., , pp.-en_US
dc.identifier.uri10.1016/j.dcan.2019.05.004
dc.identifier.urihttp://idr.nitk.ac.in/jspui/handle/123456789/9862-
dc.description.abstractMobile devices with social media applications are the prevalent user equipment to generate and consume digital hate content. The objective of this paper is to propose a mobile edge computing architecture for regulating and reducing hate content at the user's level. In this regard, the profiling of hate content is obtained from the results of multiple studies by quantitative and qualitative analyses. Profiling resulted in different categories of hate content caused by gender, religion, race, and disability. Based on this information, an architectural framework is developed to regulate and reduce hate content at the user's level in the mobile computing environment. The proposed architecture will be a novel idea to reduce hate content generation and its impact. 2019 Chongqing University of Posts and Telecommunicationsen_US
dc.titleAn architecture for digital hate content reduction with mobile edge computingen_US
dc.typeArticleen_US
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