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SMART-Portal : A data tracking tool for research purposes from social media and news websites
Stieglitz, Stefan; Basyurt, Ali Sercan; Mirbabaie, Milad (2022): SMART-Portal : A data tracking tool for research purposes from social media and news websites, in: Tung X. Bui und Tung X. Bui (Hrsg.), Proceedings of the 55th Annual Hawaii International Conference on System Sciences : January 3-7, 2022, Honolulu, HI: Department of IT Management, Shidler College of Business, University of Hawaii at Manoa, S. 572–581, doi: 10.24251/HICSS.2022.069.
Author:
Title of the compilation:
Proceedings of the 55th Annual Hawaii International Conference on System Sciences : January 3-7, 2022
Editors:
Bui, Tung X.
Conference:
55th Hawaii International Conference on System Sciences - HICSS 2022 ; Maui, Hawaii, USA / Virtual Event
Publisher Information:
Year of publication:
2022
Pages:
ISBN:
978-0-9981331-5-7
Language:
English
Abstract:
Social media data has become an important source of information for different parties including researchers from various research fields. Rarely is information given regarding the methods used to acquire social media data to a satisfying degree that would allow the reproduction of research methods and results. With the goal of providing researchers with a method to collect social media data as easily as possible, this paper describes the development of a scientific tool to acquire such data and to use as a method to conduct future research which can be referenced in their work. This tool is named SMART-Portal and it provides researchers with the ability to track data online. Furthermore, it allows the exportation of data in multiple formats for different analyses in addition to allowing researchers to track data from different predefined news websites and Twitter.
Keywords: ; ; ; ;
Digital Society
analytics
data
social media
tracking
Peer Reviewed:
Yes:
International Distribution:
Yes:
Open Access Journal:
Yes:
Type:
Conferenceobject
Activation date:
June 14, 2024
Versioning
Question on publication
Permalink
https://fis.uni-bamberg.de/handle/uniba/95753