Submissions:2015/Revscoring: AI support for Wikipedians
- Title
- Revscoring: AI support for Wikipedians
- Theme
- tech
- Type of submission
- presentation
- Author
- EpochFail
- E-mail address
- aaron.halfaker at gmail.com
- Username
- EpochFail
- Affiliation
- Wikimedia Research
- Abstract
Wikipedia relies heavily on artificial intelligence (AI) to operate at the scale that it does today. The use of AI is most apparent in counter-vandalism tools, like those used to revert nearly all the vandalism on the English Wikipedia: ClueBot NG, Huggle and STiki. These advanced wiki tools use intelligent algorithms to automatically revert vandalism (ClueBot NG) or triage likely damaging edits for human review (Huggle and STiki). It's arguable that these tools saved Wikipedia from being overwhelmed by the massive growth period of 2006-07.
Regretfully, developing and implementing such powerful AI is hard. A developer needs to have the expertise in machine classification, natural language processing, and advanced programming techniques as well as hardware to store and process large amount of data. It's also relatively labor intensive to maintain these AI so that they stay up to date with the quality concerns of present day Wikipedia. Likely due to these difficulties, AI-based quality control tools only are available for English Wikipedia and a few other, large wikis.
In this presentation, I'll talk to you about how things can be better. First, I'll give an overview of a project that is designed to make a critical bit of AI accessible to wiki tool builders. Next I'll highlight strategies that I think will be important for making sure these resources stay valuable long-term. Finally, I'll conclude with an overview of how Wikipedia's current tools and resources might take advantage of artificial intelligence resources right now.
- Length of presentation
- 30 min
- Special schedule requests
- Will you attend WikiConference USA if your submission is not accepted?
- Not sure yet.
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