A Digital Communication Twin for Addressing Misinformation: Vision, Challenges, Opportunities
In this article, we propose a novel approach to address the major ethical and societal problem of misinformation on social media. Specifically, how can we identify misinformation, understand how it spreads, and produce effective interventions? Our envisioned solution is sociotechnical in that it relies upon people (specifically community leaders) to push back against the ravages of misinformation but incorporates novel computational support for doing so. Specifically, we envision a digital communication twin platform for misinformation flow in social networks. We present the motivation, components, challenges, and opportunities in the development of this platform. We illustrate the potential for this approach via misinformation about healthcare, which has flourished during the COVID-19 pandemic.
Duke Scholars
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Related Subject Headings
- Networking & Telecommunications
- 4606 Distributed computing and systems software
- 4009 Electronics, sensors and digital hardware
- 1005 Communications Technologies
- 0906 Electrical and Electronic Engineering
- 0805 Distributed Computing
Citation
Published In
DOI
EISSN
ISSN
Publication Date
Volume
Issue
Start / End Page
Related Subject Headings
- Networking & Telecommunications
- 4606 Distributed computing and systems software
- 4009 Electronics, sensors and digital hardware
- 1005 Communications Technologies
- 0906 Electrical and Electronic Engineering
- 0805 Distributed Computing