Improved Model for Identifying the Cyberbullying based on Tweets of Twitter

IF 3.3 4区计算机科学 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS

Informatica Pub Date : 2023-06-09 DOI:10.31449/inf.v47i6.4534

Darwin Samalo, Rizky Martin, D. N. Utama

引用次数: 0

Abstract

The surge of cyberbullying on social media platforms is a major concern in today's digital age, with its prevalence escalating alongside advancements in technology. Thus, devising methods to detect and eliminate cyberbullying has become a crucial task. This research meticulously presents a refined model for identifying instances of cyberbullying, building on previous methodologies. The process of devising the model involved a thorough literature review, object-oriented design

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基于推特推文识别网络欺凌的改进模型

社交媒体平台上网络欺凌的激增是当今数字时代的一个主要问题，随着技术的进步，网络欺凌的普遍性也在升级。因此，设计检测和消除网络欺凌的方法已成为一项至关重要的任务。这项研究在先前方法的基础上，精心提出了一个用于识别网络欺凌实例的精细模型。设计模型的过程包括全面的文献综述、面向对象的设计

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Informatica 工程技术-计算机：信息系统

CiteScore

5.90

自引率

6.90%

发文量

审稿时长

12 months

期刊介绍： The quarterly journal Informatica provides an international forum for high-quality original research and publishes papers on mathematical simulation and optimization, recognition and control, programming theory and systems, automation systems and elements. Informatica provides a multidisciplinary forum for scientists and engineers involved in research and design including experts who implement and manage information systems applications.