Porwol, Lukasz and Hassan, Islam and Ojo, Adegboyega and Breslin, John (2015) Harnessing spontaneous participation on social media. In: Proceedings of the 16th Annual International Conference on Digital Government Research. ACM Digital Library, pp. 333-334. ISBN 978-1-4503-3600-0

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Abstract

Recent efforts to mainstream social media-based and citizen-led political deliberations to complement traditional government-led e-Participation, must among others address a number of technical challenges. One of these challenges is how to automatically filter and extract meaningful information or knowledge from streams of social media data contributed by citizens to inform agenda setting or serve as feedback for specific policy issues. A central resource in developing an effective information extraction system is the Lexicon of terms and relationship among terms in the domain of interest. This poster summarizes our work in developing a lexicon of public services names as the kernel of the knowledge extraction component of our Social Software Infrastructure for spontaneous participation. Our lexicon-based knowledge extraction process is scalable and could be easily extended to capture other information of interest from social media or related platforms.

Item Type:	Book Section
Keywords:	e-Participation; Information Extraction; Social Media;
Academic Unit:	Faculty of Social Sciences > Research Institutes > Innovation Value Institute, IVI Faculty of Social Sciences > School of Business
Item ID:	15821
Identification Number:	https://doi.org/10.1145/2757401.2757460
Depositing User:	Adegboyega Ojo
Date Deposited:	12 Apr 2022 14:08
Publisher:	ACM Digital Library
Refereed:	Yes
URI:	Publisher
Use Licence:	This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

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