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Temporal Sentiment Analysis of Learners: Public Versus Private Social Media Communication Channels in a Women-in-Tech Conversion Course

Yu, Jialin; Aduragba, Olanrewaju Tahir; Sun, Zhongtian; Black, Sue; Stewart, Craig; Shi, Lei; Cristea, Alexandra

Temporal Sentiment Analysis of Learners: Public Versus Private Social Media Communication Channels in a Women-in-Tech Conversion Course Thumbnail


Authors

Jialin Yu

Olanrewaju Tahir Aduragba

Zhongtian Sun

Sue Black

Craig Stewart

Lei Shi



Abstract

Social media is ubiquitous, a continuous part of our daily lives; it offers new ways of communication. This is especially crucial in education, where various online systems make use of (perceived) public or private communication, as a means to support the learning process, often in real-time. However, not much research has been carried out in analysing and comparing such channels and the way participants use them. Thus, this paper analyses a course offering both public and private types of communication to its participants. Participants communicate via two social media channels (beyond traditional email etc.): Twitter (open to the public) and Microsoft Teams (for internal communication). In this paper, we specifically analyse the communication patterns of learners, focusing on the temporal analysis of their sentiments on the public versus the private platform. The comparison shows that, as possibly expected, there exist similarities between expressed sentiment in public and private channels. Interestingly however, the private platform is more likely to be used for negative utterances. It also shows that sentiment can be clearly connected to events in the course (e.g., the residentials increase both volume and positivity of comments). Finally, we propose new measures for sentiment analysis to better express the nature of change and speed of change of the sentiment in the two channels used by our learners during their learning process.

Citation

Yu, J., Aduragba, O. T., Sun, Z., Black, S., Stewart, C., Shi, L., & Cristea, A. (2020). Temporal Sentiment Analysis of Learners: Public Versus Private Social Media Communication Channels in a Women-in-Tech Conversion Course. In International Conference on Computer Science & Education (ICCSE) (182-187). https://doi.org/10.1109/iccse49874.2020.9201631

Presentation Conference Type Conference Paper (Published)
Conference Name 2020 15th International Conference on Computer Science & Education (ICCSE)
Acceptance Date Jun 15, 2020
Online Publication Date Sep 22, 2020
Publication Date 2020
Deposit Date Sep 26, 2020
Publicly Available Date Nov 2, 2021
Publisher Institute of Electrical and Electronics Engineers
Pages 182-187
Series ISSN 2473-9464
Book Title International Conference on Computer Science & Education (ICCSE)
DOI https://doi.org/10.1109/iccse49874.2020.9201631
Public URL https://durham-repository.worktribe.com/output/1139761

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