Hi Martin,
Thanks for the update. I'm very interested to learn more once you have more to share.
I'm not sure if you're aware of the research on sockpuppet detection. It's a different problem than what you describe here, but I would not be surprised if learnings from each of these projects can help another. You can keep in touch with the sockpuppet detection at https://meta.wikimedia.org/wiki/Research:Sockpuppet_detection_in_Wikimedia_p...
Also, if you will have early results, feel free to submit them as part of the March 11 deadline (http://wikiworkshop.org/2018/#dates) for Wiki Workshop. It would be great to have a chance to discuss this research more in person if you or your team will end up being in Lyon for TWC2019.
Best, Leila
On Sat, Jan 20, 2018 at 2:39 AM, Martin Potthast martin.potthast@uni-leipzig.de wrote:
Hi everyone,
we [1] would like to announce a research project with the goal of studying whether user interactions recorded at the time of editing are suitable to predict vandalism in real time.
Should vandal editing behavior be sufficiently different from normal editing behavior, this would allow for a number of interesting real-time prevention techniques. For example:
- withholding confidently suspicious edits for review before publishing
them,
- a popup asking "I am not a vandal" (as in Google's "I am not a robot") to
analyze vandal reactions,
- a popup with a chat box to personally engage vandals, e.g., to help them
find other ways of stress relief or to understand them better,
- or at the very least: a new signal to improve traditional vandalism
detectors.
We have set up a laboratory environment to study editor behavior in a realistic setting using a private mirror of Wikipedia. No editing whatsoever is conducted on the real Wikipedia as part of our experiments, and all test subjects of our user studies are made aware of the experimental nature of their editing. We plan on making use of crowdsourcing as a means to attain scale and diversity.
If you wish to participate in this study as a test subject yourself, please get in touch. The more diversity, the more insightful the results will be. We are also happy to collaborate and to answer all questions that may arise in relation to the project. For example, our setup and tooling may turn out to be useful to study other user behavior-related things without having to actually deploy experiments within the live MediaWiki.
Best, Martin
PS: The AICaptcha project seems most closely related. @Vinitha and Gergő: If you wish, we can set up a Skype meeting to talk about a avenues for collaboration.
[1] A group of students and researchers from Bauhaus-Universität Weimar ( www.webis.de) and Leipzig University (www.temir.org); project PI: Martin Potthast. _______________________________________________ Wiki-research-l mailing list Wiki-research-l@lists.wikimedia.org https://lists.wikimedia.org/mailman/listinfo/wiki-research-l