Integrating Service-Learning Into Social Media Mining Class

Francesca Spezzano, Devshikha Bose

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This paper outlines our successful integration of service-learning into the Social Media Mining graduate course, aimed at both enhancing students' comprehension of course materials and offering a valuable service to the community by addressing the susceptibility of teenagers to online misinformation. We implemented a fully integrated service-learning model where the service component became the foundation for multiple aspects of the course, including papers, class presentations, interactive discussions, and various assignments. The students in the Social Media Mining class delved into the pervasive issue of misinformation and its significant impact on teenagers, a demographic particularly vulnerable to such online manipulation. They prepared a presentation on strategies to fight misinformation, accompanied by a class project that involved developing a machine-learning algorithm for detecting fake news. Next, they delivered the presentation and discussed their project with our community partners, namely students from several high schools in our state. At the end of the semester, the graduate students engaged in self-reflection by responding to specific questions about their involvement in service-learning. Our analysis of these reflections demonstrates student perceptions on the effectiveness of integrating service-learning in the graduate curriculum, yielding not only enhanced academic outcomes but also equipping students with practical skills and the satisfaction of making a positive contribution to society.

Original languageEnglish
Title of host publicationITiCSE 2025 - Proceedings of the 30th ACM Conference on Innovation and Technology in Computer Science Education
Pages249-255
Number of pages7
ISBN (Electronic)9798400715679
DOIs
StatePublished - 27 Jun 2025
Event30th Annual Conference on Innovation and Technology in Computer Science Education, ITiCSE 2025 - Nijmegen, Netherlands
Duration: 27 Jun 20252 Jul 2025

Publication series

NameAnnual Conference on Innovation and Technology in Computer Science Education, ITiCSE
Volume1
ISSN (Print)1942-647X

Conference

Conference30th Annual Conference on Innovation and Technology in Computer Science Education, ITiCSE 2025
Country/TerritoryNetherlands
CityNijmegen
Period27/06/252/07/25

Keywords

  • active learning
  • community service
  • data science
  • graduate curriculum
  • k12 outreach
  • misinformation mitigation
  • service-learning

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