Trust in Google - A Textual Analysis of News Articles About Cyberbullying

Informing Science Pub Date : 2022-01-01 DOI:10.28945/4894

Juergen Stegmair, V. Prybutok

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引用次数: 1

Abstract

Aim/Purpose: Cyberbullying (CB) is an ongoing phenomenon that affects youth in negative ways. Using online news articles to provide information to schools can help with the development of comprehensive cyberbullying prevention campaigns, and in restoring faith in news reporting. The inclusion of online news also allows for increased awareness of cybersafety issues for youth. Background: CB is an inherent problem of information delivery and security. Textual analysis provides input into prevention and training efforts to combat the issue. Methodology: Text extraction and text analysis methods of term and concept extraction; text link analysis and sentiment analysis are performed on a body of news articles. Contribution: News articles are determined to be a major source of information for comprehensive cyberbullying prevention campaigns. Findings: Online news articles are relatively neutral in their sentiment; terms and topic extraction provide fertile ground for information presentation and context. Recommendation for Researchers: Researchers should seek support for research projects that extract timely information from online news articles. Future Research: Refinement of the terms and topics analytic model, as well as a system development approach for information extraction of online CB news.

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信任谷歌——对网络欺凌新闻文章的文本分析

目的/目的:网络欺凌(CB)是一种持续存在的现象，对青少年产生负面影响。利用在线新闻文章向学校提供信息，有助于开展全面的网络欺凌预防活动，并有助于恢复对新闻报道的信心。在线新闻也可以提高年轻人对网络安全问题的认识。背景:CB是一个固有的信息传递和安全问题。文本分析为防治这一问题的预防和培训工作提供了投入。方法论:术语提取和概念提取的文本提取和文本分析方法;文本链接分析和情感分析是对新闻文章主体进行的。贡献:新闻文章被确定为综合网络欺凌预防运动的主要信息来源。研究发现:网络新闻文章的观点相对中立;术语和主题提取为信息表示和上下文提供了肥沃的土壤。对研究人员的建议:研究人员应该为从在线新闻文章中提取及时信息的研究项目寻求支持。未来研究方向:术语和主题分析模型的改进，以及在线CB新闻信息提取的系统开发方法。

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来源期刊

Informing Science Social Sciences-Library and Information Sciences

CiteScore

1.60

自引率

0.00%

发文量

期刊介绍： The academically peer refereed journal Informing Science endeavors to provide an understanding of the complexities in informing clientele. Fields from information systems, library science, journalism in all its forms to education all contribute to this science. These fields, which developed independently and have been researched in separate disciplines, are evolving to form a new transdiscipline, Informing Science.