Hey folks! This is the 32 - 41st weekly update from the revision scoring team that we have sent to this mailing list. We've been busy, but our reporting fell behind. So here I am getting us caught up! This is going to be a long one. Bear with me.
One major thing we've done in the past few weeks is drafted and presented a proposal to increase the resourcing for the ORES project in the 2017 Fiscal Year. Currently, we're just one fully funded staff member (halfak) and partially funded contractor (Amir1) working with a bunch of volunteers. We're proposing to staff the team with fulltime engineers, a liaison and a tech writer. See a full draft of our proposal and pitch deck here: https://meta.wikimedia.org/wiki/Wikimedia_Foundation_Scoring_Platform_team *New development:* We've expanded support for our "editquality" models to more wikis and improved the performance of some of the models. - We scaled up the number of observations for Indonesian Wikipedia to 100k[1] - We added language support for Romanian[2] and built the basic "reverted" model[3] - We trained and tested "damaging" and "goodfaith" models for Czech Wikipedia[4] - We implemented some params in our training utilites to control memory usage[5] - We deployed all of the above to Wikimedia Labs[6]. A production deployment is coming soon. Prompted by the 2016 community wishlist[7], we've implemented a "draftquality" model for evaluating new page creations. - We researched deletion reasons on English Wikipedia[8] and created a labeled dataset using the deletion log. - We engineered a set of features to predict the quality of new articles[9] and built a model[10] - We generated a set of datasets[11,12,13] to make it easier for volunteers and external researchers to help us audit the performance of the model. - We deployed the model on WMFLabs[14] and announced it's presence to a few interested patrollers in English Wikipedia - We've started the process of deploying the model in production[15,16] We completed a project exploring the use of advance natural-language processing strategies to extract new signal about vandalism, article quality and problematic new articles. Regretfully, memory issues prevent us from trivially putting this into production[17], so we're looking into alternative strategies[18]. - We implemented a strategy for extracting sentence from Wikitext[19] - We built sentence banks for personal attacks[20, vandalism[21], spam[22], and Featured Articles[23]. - We built PCFG-based models[24] and analyzed their ability to differentiate[25] We've been working with the Collaboration Team[26] on their Edit Review Improvments project[27] - We defined and implemented a set of new precision-based test statistics that will inform thresholds used in their new user interface[28] - But we also decided to continue to report recall-based test statistics as well[29] Based on advice from engineers on the Collaboration Team, we've begun the process of converting Wiki labels[30] to a stand-alone tool in labs. - We generalize the gadget interface so that it can handle all langauges/wikis[31] - We implemented a means to auto-configure wikis based on the dbname[32,33] and that allowed us to simplify configuration[34] - We also implemented some performance improvements with minification, bundling[35] *Labeling:* In the past few weeks, we've set up labeling campaigns for a few wikis. - We deployed an edit types campaign for Catalan Wikipedia[36] - We deployed an edit quality campagin for Chinese[37] and Romanian[38] Wikipedias - We deployed a new type of campaign for English Wikipedia -- "discussion quality" asks editors to label talk posts as "toxic" or not[39] *Maintenance and robustness:* We've solved a large set of problems with logging issues, compatibility with wikibase, and we've made minor improvements to performance. - We addressed a few bugs in the ORES Review Tool[40,44] - We quieted some errors from our logging in ORES[41,45] - We updated our code to work with a wikibase schema change[42] - We fixed a language fallback pattern in Wiki labels[43] - We set up monitoring on ORES database disk sizes[46] - We fixed some issues with scap, phabricator's diffusion and other supporting systems so that we can continue deploying to beta labs[47] - We split our assets repo so that we can let our WMFLabs deploy get ahead of the Production deployment[48] - ORES can now minify its JSON responses[49] - We identified a bug in flask-assets and worked around it in our local installation of Wiki labels[50] *Communications and outreach:* We had a big presence at the Wikimedia Developer summit, we've drafted a resourcing proposal, and we've made some announcements about upcoming plans for the ORES Review tool. - We facilitated the "Artificial Intelligence to build and navigate content" track[51] - We ran a session for building an AI wishlist[52] and captured notes about more than 20 new AI proposals on a new tag in phabricator[53] - We also ran a session discussion the ethics and dangers of advanced algorithms mediating our processes[54] - We helped facilitate a session about where to surface current AIs in Wikimedia Projects[55] - We held a discussion with Legal about licensing labeled data that comes out of Wiki labels[56] and updated the interface to state the CC0 license clearly[57] - We worked with the Reading Infrastructure team to analyze the consumption of "oresscores" through the MediaWiki API[58] - We drafted a pitch for increasing the resources for our team[59] - We worked with the Collaboration team to announce that they'll experimenting with a new RecentChanged filtering strategy in the ORES Review Tool[60,61] 1. https://phabricator.wikimedia.org/T147107 -- Scale up the number of observations for idwiki to 100k 2. https://phabricator.wikimedia.org/T152482 -- Add language support for Romanian 3. https://phabricator.wikimedia.org/T156504 -- Build reverted model for Romanian Wikipedia 4. https://phabricator.wikimedia.org/T156492 -- Train and test damaging/goodfaith models for Czech Wikipedia 5. https://phabricator.wikimedia.org/T156645 -- Add '--workers' param to cv_train utility 6. https://phabricator.wikimedia.org/T154856 -- Clean up dependencies and deploy newest ORES & Models in labs 7. https://meta.wikimedia.org/wiki/2016_Community_Wishlist_Survey/Categories/Moderation_tools#Quality_scoring_for_new_articles 8. https://meta.wikimedia.org/wiki/Research:Automated_classification_of_draft_quality 9. https://phabricator.wikimedia.org/T148580 -- Build feature set for draft quality model 10. https://phabricator.wikimedia.org/T148038 -- [Epic] Build draft quality model (spam, vandalism, attack, or OK) 11. https://phabricator.wikimedia.org/T148581 -- Extract features for deleted page (draft quality model) 12. https://phabricator.wikimedia.org/T156642 -- Generate scored dataset for 2016-08 - 2017-01 13. https://phabricator.wikimedia.org/T156643 -- Generate extracted features for 2016-08 - 2017-01 14. https://phabricator.wikimedia.org/T155576 -- Deploy draftquality models to WMFLabs 15. https://phabricator.wikimedia.org/T156835 -- Create package stuff for draftquality 16. https://phabricator.wikimedia.org/T157049 -- Create new repo: research-ores-draftquality 17. https://phabricator.wikimedia.org/T148867#2816566 -- Memory footprint is enormous! 18. https://phabricator.wikimedia.org/T155111 -- [Spike] Investigate use of Apertium LTtoolbox API in labs/production 19. https://phabricator.wikimedia.org/T148867 -- Implement sentences datascources 20. https://phabricator.wikimedia.org/T148035 -- Sentence bank for personal attacks 21. https://phabricator.wikimedia.org/T148034 -- Sentence bank for vandalism 22. https://phabricator.wikimedia.org/T148032 -- Sentence bank for spam 23. https://phabricator.wikimedia.org/T148033 -- Sentence bank for Featured Articles 24. https://phabricator.wikimedia.org/T148037 -- Generate PCFG sentence models 25. https://phabricator.wikimedia.org/T151819 -- Analyze differentiation of FA, Spam, Vandalism, and Attack models/sentences. 26. https://www.mediawiki.org/wiki/Collaboration 27. https://www.mediawiki.org/wiki/Edit_Review_Improvements 28. https://phabricator.wikimedia.org/T151970 -- Implement new precision-based test stats for editquality models 29. https://phabricator.wikimedia.org/T156644 -- Restore recall-threshold-based metrics for editquality models. 30. https://meta.wikimedia.org/wiki/Wiki_labels 31. https://phabricator.wikimedia.org/T151120 -- Generalize standalone gadget interface 32. https://phabricator.wikimedia.org/T154433 -- Auto config wikilabels using dbnames 33. https://phabricator.wikimedia.org/T155439 -- Use module loader to load JS/CSS from wikis 34. https://phabricator.wikimedia.org/T154693 -- Remove host from wikilabels config -- infer from request 35. https://phabricator.wikimedia.org/T154122 -- Minification and bundling for wikilabels assets 36. https://phabricator.wikimedia.org/T152965 -- Deploy cawiki edit types campaign 37. https://phabricator.wikimedia.org/T152561 -- Deploy zhwiki edit quality campaign 38. https://phabricator.wikimedia.org/T156357 -- Deploy edit quality campaign for Romanian Wikipedia 39. https://phabricator.wikimedia.org/T156303 -- Deploy "Discussion quality" campaign in wikilabels 40. https://phabricator.wikimedia.org/T152542 -- Undefined method ORES\Hooks::getDamagingThreshold() 41. https://phabricator.wikimedia.org/T146681 -- Quiet TimeoutError in celery logging 42. https://phabricator.wikimedia.org/T154168 -- Quantity changes broke ORES 43. https://phabricator.wikimedia.org/T154897 -- Chinese translations are not being loaded 44. https://phabricator.wikimedia.org/T155500 -- Fatal exception of type "DBQueryError" on sorting ORES contributions 45. https://phabricator.wikimedia.org/T157078 -- ores logspam: Model contains an error 46. https://phabricator.wikimedia.org/T155482 -- Set up monitoring for ORES redis database 47. https://phabricator.wikimedia.org/T157135 -- Fix broken beta-labs deploy 48. https://phabricator.wikimedia.org/T154436 -- Split wheels repo into Prod/WMFLabs branches and maintain independence 49. https://phabricator.wikimedia.org/T155931 -- Minify json responses 50. https://phabricator.wikimedia.org/T154865 -- assets url return empty string 51. https://phabricator.wikimedia.org/T147708 -- Artificial Intelligence to build and navigate content 52. https://phabricator.wikimedia.org/T147710 -- What should an AI do you for you? Building an AI Wishlist. 53. https://phabricator.wikimedia.org/tag/artificial-intelligence/ 54. https://phabricator.wikimedia.org/T147929 -- Algorithmic dangers and transparency -- Best practices 55. https://phabricator.wikimedia.org/T148690 -- Where to surface AI in Wikimedia Projects 56. https://phabricator.wikimedia.org/T145024 -- Licensing of labeled data 57. https://phabricator.wikimedia.org/T156052 -- Add notice of CC0 status of Wikilabels data to UI & Docs 58. https://phabricator.wikimedia.org/T156273 -- Identify baseline api.php Action API consumption 59. https://phabricator.wikimedia.org/T157470 -- Draft proposal/pitch for ORES resourcing 60. https://phabricator.wikimedia.org/T150855 -- Gather assets for post about ORES review tool including ERI filters 61. https://phabricator.wikimedia.org/T150858 -- Post about ORES review tool including ERI filters Sincerely, Aaron from the Revision Scoring Scoring Platform team _______________________________________________ Wikitech-l mailing list [email protected] https://lists.wikimedia.org/mailman/listinfo/wikitech-l
