Musi, Elena 
ORCID: 0000-0003-2431-455X, O’Halloran, Kay L, Carmi, Elinor and Yates, Simeon ORCID: 0000-0002-7298-8826
(2024)
Developing Misinformation Immunity in a Post-Truth World: Human Computer Interaction for Data Literacy
In:
Truth Claims Across Media.
Palgrave Studies in Intermediality
.
Springer Nature, pp. 245-271.
ISBN 9783031420634
|
PDF
Musi et al.pdf - Published version Download (604kB) | Preview |
Summary
The Networked Society has brought about opportunities, such as citizens’ journalism, as well as challenges, such as the proliferation of media distortions. To keep up which such a sheer amount of (mis)information, citizens need to develop critical media literacy. We believe that, even though not enough to guarantee a gatekeeping process, human-computer interaction can help users develop epistemic vigilance. To this sake, we present the Fake News Immunity chatbot, designed to teach users how to recognize misinformation leveraging Fallacy Theory. Fallacies, arguments which seem valid but are not, constitute privileged viewpoints for the identification of misinformation. We then evaluate the results of the chatbot as an educational tool through a gamification experience with two cohorts of students and discuss achieved learning outcomes as well as recommendations for future improvement.
| Item Type: | Chapter |
|---|---|
| Uncontrolled Keywords: | 4701 Communication and Media Studies, 36 Creative Arts and Writing, 46 Information and Computing Sciences, 47 Language, Communication and Culture, 3605 Screen and Digital Media, 4608 Human-Centred Computing, Machine Learning and Artificial Intelligence, 4 Quality Education |
| Depositing User: | Symplectic Admin |
| Date Deposited: | 14 Aug 2024 08:10 |
| Last Modified: | 23 May 2026 08:34 |
| DOI: | 10.1007/978-3-031-42064-1_11 |
| Related Websites: | |
| URI: | https://livrepository.liverpool.ac.uk/id/eprint/3183706 |
| Disclaimer: | The University of Liverpool is not responsible for content contained on other websites from links within repository metadata. Please contact us if you notice anything that appears incorrect or inappropriate. |
Altmetric
Altmetric