Difference between revisions of "Submissions:2019/Machine learning for wiki by university students"
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In the recent past, artificial intelligence and machine learning were tools for specialists and computer scientists. Now, recent advances in technology, data availability, and social awareness have greatly increased the ease with which students can use techniques in data science to do interesting research in Wikimedia projects as part of a routine college learning experience. |
In the recent past, artificial intelligence and machine learning were tools for specialists and computer scientists. Now, recent advances in technology, data availability, and social awareness have greatly increased the ease with which students can use techniques in data science to do interesting research in Wikimedia projects as part of a routine college learning experience. |
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Latest revision as of 21:34, 8 November 2019
This submission has been designated as a lightning talk at WikiConference North America 2019.
Title:
- Machine learning for wiki by university students
Theme:
- Reliability of Information
Type of session:
- Presentation
Abstract:
In the recent past, artificial intelligence and machine learning were tools for specialists and computer scientists. Now, recent advances in technology, data availability, and social awareness have greatly increased the ease with which students can use techniques in data science to do interesting research in Wikimedia projects as part of a routine college learning experience.
This presentation will present Wikimedia-based machine learning projects at the University of Virginia's School of Data Science as examples of projects which any students might do to practice their lessons and be awesome in the wiki.
- automated detection of misconduct
- suggesting academic papers as sources for wiki articles
- computer vision to sort images in Wikimedia Commons
- fair representation of underrepresented groups in academia
Academic Peer Review option:
- No
Author name:
E-mail address:
- lane
bluerasberry.com
Wikimedia username:
- bluerasberry
Affiliated organization(s):
- School of Data Science at the University of Virginia
Estimated time:
- 15 minutes
Preferred room size:
- any
Special requests:
Have you presented on this topic previously? If yes, where/when?:
- no
If your submission is not accepted, would you be open to presenting your topic in another part of the program? (e.g. lightning talk or unconference session)
- yes, lightning talk