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How to Blend Journalistic Expertise with Artificial Intelligence for Research and Verifying News Stories

Missaoui, S., Gutierrez-Lopez, M., MacFarlane, A. ORCID: 0000-0002-8057-0737, Makri, S. ORCID: 0000-0002-5817-4893, Porlezza, C. ORCID: 0000-0002-1400-5879 and Cooper, G. ORCID: 0000-0003-2367-8626 (2019). How to Blend Journalistic Expertise with Artificial Intelligence for Research and Verifying News Stories. Paper presented at the CHI 2019 ACM Conference on Human Factors in Computing Systems, 04 - 09 May 2019, Glasgow, UK.

Abstract

The use of AI technology can help to automate news verification workflows, while significantly innovating journalism practices. However, most existing systems are designed in isolation without interactive collaboration with journalists. ‘DMINR’ project aims to bring humans-at-the-center of AI loop for developing a powerful tool that is sympathetic to the way journalists work. In this paper, we attempt to understand how AI can shape journalists’ practices and, crucially, be shaped by them; we aim to design human-centred AI tool that works in synergy with journalists’ practices and strike a useful balance between human and machine intelligence. In this paper, we conducted a Co-design workshop to inform the design of the ‘DMINR’ system. Based on the findings, we outline the main challenges for designing AI systems in the context of journalism, that can serve as a resource for Human-AI interaction design.

Publication Type: Conference or Workshop Item (Paper)
Additional Information: © Missaoui, S., Gutierrez-Lopez, M., MacFarlane, A. , Makri, S. , Porlezza, C. and Cooper, G | ACM 2019. This is the author's version of the work. It is posted here for your personal use. Not for redistribution. The definitive Version of Record is to be published by ACM, https://chi2019.acm.org/
Publisher Keywords: AI; News verification;Information access; Human-in-the-loop; Journalism; Bias; Transparency
Subjects: P Language and Literature > PN Literature (General)
Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Departments: School of Arts & Social Sciences > Journalism
School of Mathematics, Computer Science & Engineering > Computer Science > Human Computer Interaction Design
URI: https://openaccess.city.ac.uk/id/eprint/22996
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Official URL: https://chi2019.acm.org/

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