Open AccessIDENTIFYING THE ETHICAL ISSUES IN TWITTER: A KNOWLEDGE ACQUISITION FOR ONTOLOGY
Author(s) -
Mohamad Hafizuddin Mohamed Najid,
Zahidah Zulkifli,
Roslina Othman,
Rohaiza Rokis,
Ashraf Ali Salahuddin
Publication year - 2021
Publication title -
malaysian journal of computer science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.197
H-Index - 18
ISSN - 0127-9084
DOI - 10.22452/mjcs.sp2021no2.7
Subject(s) - microblogging , social media , computer science , ontology , ethical issues , process (computing) , domain (mathematical analysis) , world wide web , engineering ethics , epistemology , mathematics , mathematical analysis , philosophy , engineering , operating system
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.