Translations:Wikimedia Apps/Team/Android/Machine Assisted Article Descriptions/12/en


 * 1) Determine if suggestions made through the Descartes model increases the quality of article description additions and edits made using the Wikipedia Android app. To understand how the suggested article description changes user behavior, we will evaluate:
 * 2) * If introduction of suggestions alters the stickiness of the task type across editing tenure
 * 3) * Variability in task completion time relative to quality of edits
 * 4) * How often users modify suggestions before hitting publish
 * 5) * The optimal design and user workflow to encourage accuracy and task retention
 * 6) * What, if any, additional measures need to be in place to discourage bad or bias suggestions
 * 7) Determine if the algorithm holds up when exposed to more users:
 * 8) * Does the accuracy and preference rate change when exposed to more users
 * 9) * Does the accuracy and preference rate of using the suggestion vary greatly across languages
 * 10) * Is the algorithm introducing bias (e.g. misgendering) or not accurately representing critical nuance for Biographies of Living Persons
 * 11) * How does the accuracy rate and performance change when showing more than one suggestion