John Collomosse
Enhanced Digital Literacy by Multi-modal Data Mining of the Digital Lifespan
Collomosse, John; James, Stuart; Durrant, Abigail; Trujillo-Pisanty, Diego; Moncur, Wendy; Orzech, Kathryn M.; Martindale, Sarah; Chantler, Mike
Authors
Dr Stuart James stuart.a.james@durham.ac.uk
Assistant Professor
Abigail Durrant
Diego Trujillo-Pisanty
Wendy Moncur
Kathryn M. Orzech
Sarah Martindale
Mike Chantler
Abstract
Social media pervades modern digital society, yet despite its regular use the general level of digital literacy and awareness of online representations of self remain low. We report progress on the RCUK DE funded ‘Charting the Digital Lifespan’ project, which promotes digital literacy of social media through design of novel technological interventions that raise awareness of the digital personhood. We describe progress towards automatic social media data-mining capable of categorising photographs and associated comments into high-level semantic concept groups elicited from digital anthropological study. We describe how this pilot system has been incorporated into live trials of technologies that visualize and encourage reflection upon digital personhood.
Citation
Collomosse, J., James, S., Durrant, A., Trujillo-Pisanty, D., Moncur, W., Orzech, K. M., Martindale, S., & Chantler, M. (2014, December). Enhanced Digital Literacy by Multi-modal Data Mining of the Digital Lifespan. Presented at Fifth Annual Digital Economy All Hands Meeting, London
Presentation Conference Type | Conference Paper (published) |
---|---|
Conference Name | Fifth Annual Digital Economy All Hands Meeting |
Start Date | Dec 3, 2014 |
End Date | Dec 5, 2014 |
Publication Date | 2014 |
Deposit Date | Dec 13, 2023 |
Book Title | Proceedings of Digital Economy (DE2014) |
Keywords | own,conference |
Public URL | https://durham-repository.worktribe.com/output/2024586 |
Related Public URLs | https://discovery.dundee.ac.uk/en/publications/enhancing-digital-literacy-by-multi-modal-data-mining-of-the-digi |
You might also like
Annotated Sketches for Intuitive Video Retrieval
(2011)
Journal Article
A phase field method for tomographic reconstruction from limited data
(-0001)
Presentation / Conference Contribution
Implicit surface reconstruction and feature detection with a learning algorithm
(-0001)
Presentation / Conference Contribution
Admixed Portrait: Design Intervention to Prompt Reflection on Being Online as a New Parent
(-0001)
Presentation / Conference Contribution
Downloadable Citations
About Durham Research Online (DRO)
Administrator e-mail: dro.admin@durham.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2024
Advanced Search