IDENTIFYING THE ETHICAL ISSUES IN TWITTER: A KNOWLEDGE ACQUISITION FOR ONTOLOGY

IF 1.1 4区计算机科学 Q4 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE

Malaysian Journal of Computer Science Pub Date : 2021-12-31 DOI:10.22452/mjcs.sp2021no2.7

Mohamad Hafizuddin Mohamed Najid, Z. Zulkifli, R. Othman, Rohaiza Rokis, A. A. Salahuddin

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引用次数: 0

Abstract

Social media is an open platform to communicate, share and exchange information freely. This uncontrolled exchanged information carries out both negative and positive impacts in others’ lives. In this regard, this study aims to identify ethical issues on this information in line with Ibn Khaldun’s ethical considerations. Out of many other social networking sites, Twitter has been identified as one of the most popular microblogging social networking platforms. Using a simple algorithm in R programming and 43 keywords based on Ibn Khaldun’s thoughts, 1075 public tweets have been extracted from Twitter as a sample of ethical issues. The sentiment analysis in Parallel Dots was performed on the collected tweets, and it was discovered that 700 of the tweets are positive statements, 229 are neutral statements, and 146 are negative statements. Having done the validation process on these sentiments, the study proposed these identified ethical issues from tweets as a domain in developing ontology relationships with Ibn Khaldun’s thoughts. In this process, further study can be carried on with wider data from various sources beyond the limitation of this study. Thus, a semantic database could serve as a guideline for SNS ethical issues based on Ibn Khaldun’s thoughts.

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识别TWITTER中的伦理问题：本体论的知识获取

社交媒体是一个自由交流、分享和交换信息的开放平台。这种不受控制的信息交流对他人的生活产生了负面和积极的影响。在这方面，本研究旨在根据伊本·哈尔顿的伦理考虑，确定这些信息中的伦理问题。在许多其他社交网站中，推特被认为是最受欢迎的微博社交网络平台之一。使用R编程中的一个简单算法和基于Ibn Khaldun思想的43个关键词，从推特中提取了1075条公共推文作为道德问题的样本。对收集到的推文进行了Parallel Dots中的情绪分析，发现700条推文是积极的陈述，229条是中立的陈述，146条是消极的陈述。在对这些情绪进行了验证之后，该研究提出，推文中的这些伦理问题是与伊本·哈尔顿思想发展本体关系的一个领域。在这个过程中，可以在本研究的限制之外，利用来自各种来源的更广泛的数据进行进一步的研究。因此，基于伊本·哈尔顿的思想，语义数据库可以作为SNS伦理问题的指导方针。

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

Malaysian Journal of Computer Science COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE-COMPUTER SCIENCE, THEORY & METHODS

CiteScore

2.20

自引率

33.30%

发文量

审稿时长

7.5 months

期刊介绍： The Malaysian Journal of Computer Science (ISSN 0127-9084) is published four times a year in January, April, July and October by the Faculty of Computer Science and Information Technology, University of Malaya, since 1985. Over the years, the journal has gained popularity and the number of paper submissions has increased steadily. The rigorous reviews from the referees have helped in ensuring that the high standard of the journal is maintained. The objectives are to promote exchange of information and knowledge in research work, new inventions/developments of Computer Science and on the use of Information Technology towards the structuring of an information-rich society and to assist the academic staff from local and foreign universities, business and industrial sectors, government departments and academic institutions on publishing research results and studies in Computer Science and Information Technology through a scholarly publication. The journal is being indexed and abstracted by Clarivate Analytics'' Web of Science and Elsevier''s Scopus