Twitter is a well-known social networking platform where users exchange information and express opinions. Since many people's interactions now take place on social media, this medium has rapidly become a source of capturing knowledge from users. The aim of this study is to find tweets using R that are then related to Ibn Khaldun's thoughts.The analysis was carried out with a simple algorithm written in R Programming. 45 keywords based on Ibn Khaldun's thoughts were constructed as the hashtag to retrieve data from Twitter. As a result of the data extraction, 1075 public tweets were collected through the search API. The simple algorithm is capable to facilitating the process
Social networking sites (SNS) especially Facebook become a popular platform for sharing and communicate with people all around the world. Its popularity is rising together with the ethical issues that need to be faced by normal users. Since these issues have gotten the people intention, the aim of this paper is to provide an overview of the ontology of Facebook in relation to Ibn Khaldun ethics. A systematic literature review of the articles been conduct related with ontology in Facebook and Ibn Khaldun thoughts which met the following selection criteria: (1) published in a peer-reviewed journal, (2) written in English, (3) free accessed download article, (4) range date from 2008 to 2017, (5) article content related to search topic. The literature search generated 172,731 records of article searched from selected 4 databases from IIUM library website and only 2,235 article titles or abstracts have been screened, which match with author's keywords. After refined the results, 84 abstract and full-text articles were retrieved and reviewed. The findings identify types of articles by classes in eight categories, namely: (1) author name, (2) year of publication, (3) research methodology being used, (4) retrieved from which database, (5) the area covered by the article, (6) journal name, (7) journal ranking by Scopus, (8) journal subject. In conclusion, the contribution of ontology development between Ibn Khaldun's thoughts may relate to ethical issues on Facebook, and thus will be a guideline for others researcher to review a model for developing ontology concepts for ethics to extend to broader areas.
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.
Web of Science [v.5.32]-Web of Science Core Collection Full Record apps.webofknowledge.com.ezproxy.um.edu.my/full_record.do?product=WOS&search_mode=GeneralSearch&qid=16&SID=F6oFFfGBEzbz7Ltx8xA&… 1/4
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