Publication:
Inductive-Deductive Reasoning in Qualitative Analysis using ATLAS.ti: Trending Cybersecurity Twitter Data Analytics

Simple item page
dc.contributor.authorMohamad A.M.en_US
dc.contributor.authorYan F.Y.Y.en_US
dc.contributor.authorAziz N.A.en_US
dc.contributor.authorNorhisham S.en_US
dc.contributor.authorid57189290175en_US
dc.contributor.authorid57852986700en_US
dc.contributor.authorid55320806100en_US
dc.contributor.authorid54581400300en_US
dc.date.accessioned2023-05-29T09:40:00Z
dc.date.available2023-05-29T09:40:00Z
dc.date.issued2022
dc.descriptionApplication programs; Computer aided analysis; Social networking (online); ATLAS.; Cyber security; Data analytics; Deductive; Deductive reasoning; Inductive; Qualitative analysis; Qualitative data; Ti; Twitter; Data Analyticsen_US
dc.description.abstractWith the advent of technologies and data created each day in new media, cybersecurity is the main concern for many researchers. One of the main questions is the trending data analytics on cybersecurity and the various approaches to make sense of qualitative data, especially using Twitter data analytics on cybersecurity. There are two main types of qualitative data reasoning: inductive and deductive. In this paper, four steps are engaged in demonstrating the application of inductive and deductive approaches using computer-aided qualitative data analysis software of ATLAS.ti. The first step involves Twitter data import into ATLAS.ti using different hashtag keywords such as #cybercrime, #computersecurity, #cybersecurity and #cyberattack. The second step involves reducing overlapping tweets, which have been imported from the first step. The third step highlights the inductive and deductive approaches in making sense and reasoning the Twitter data. The final step involves the output of the analysed data for reporting purposes. As a result, this study found an operational feature in ATLAS.ti that could facilitate inductive and deductive reasoning in qualitative data analytics. Not only is the process of carrying out such inductive and deductive reasoning easy, but the features in the software also facilitate the seamless output for reporting purposes. The study's implication is a demonstration of inductive and deductive reasoning in qualitative data analytics using ATLAS.ti, which could be employed by any future researcher who is involved in qualitative research and data analytics properly. � 2022 IEEE.en_US
dc.description.natureFinalen_US
dc.identifier.doi10.1109/INCET54531.2022.9824944
dc.identifier.scopus2-s2.0-85136333087
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85136333087&doi=10.1109%2fINCET54531.2022.9824944&partnerID=40&md5=ada5b69669307c206e6c99c0b7bf8dcb
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/27133
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.sourceScopus
dc.sourcetitle2022 3rd International Conference for Emerging Technology, INCET 2022
dc.titleInductive-Deductive Reasoning in Qualitative Analysis using ATLAS.ti: Trending Cybersecurity Twitter Data Analyticsen_US
dc.typeConference Paperen_US
dspace.entity.typePublication
Files
Collections
SCOPUS