Conference proceeding
A Taxonomy for Classifying User Group Activity in Online Political Discourse
2019 IEEE 5TH INTERNATIONAL CONFERENCE ON COLLABORATION AND INTERNET COMPUTING (CIC 2019)
01 Jan 2019
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Twitter has become a popular platform for political conversation. Within the TwitterSphere, multiple users contribute to the discourse through different modalities and with varying degrees of engagement. In this paper, we seek to profile the different groups of users present in online political discourse. We provide a taxonomy that can be used to classify the various users, determine each group's representation and their respective share of the online conversation. Along with core information foraging concepts, the taxonomy aims to reduce the foraging costs associated with exploratory searching. This work provides a practical approach for analyzing and pre-processing social media data and offers valuable recommendation for future expansion into sentiment analysis.
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Details
- Title
- A Taxonomy for Classifying User Group Activity in Online Political Discourse
- Creators
- Kimberley Hemmings-Jarrett - Drexel UniversityJulian Jarrett - Drexel UniversityM. Brian Blake - Drexel UniversityIEEE
- Publication Details
- 2019 IEEE 5TH INTERNATIONAL CONFERENCE ON COLLABORATION AND INTERNET COMPUTING (CIC 2019)
- Publisher
- IEEE
- Number of pages
- 10
- Resource Type
- Conference proceeding
- Language
- English
- Web of Science ID
- WOS:000800568300009
- Scopus ID
- 2-s2.0-85080961937
- Other Identifier
- 991019318943304721
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- Web of Science research areas
- Computer Science, Information Systems
- Computer Science, Theory & Methods