Qualitative data collection for ores bias analysis
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	Groceryheist
	Jun 10 2019, 4:16 PM

Description

By incorporating a broader
pool of qualitative information taken from interviews and trace ethnography we
want to:

Uncover emic:

(a) Rationales for adopting algorithm-powered flags and filters
(b) Responses to learning that the algorithm is biased against newcomer
and anonymous editors
(c) Accounts of adoption of the tools and how it might change the Wikis

Glean clues about:

(a) How might individual Wikipedian behavior change?
(b) What kinds of reverts might have changed the most?
(c) How the tool diffused and how would bias interact with it?

Related Objects
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Status	Assigned	Task
Resolved	Groceryheist	T224901 ORES bias analysis
Resolved	Groceryheist	T224918 Visualize the relationship between the probability of reversion and ores scores
Resolved	Groceryheist	T225133 Look at recent changes filters event log to track usage
Resolved	Groceryheist	T225134 Find out what tools are used for making reverts on the ores-enabled wikis.
Resolved	Groceryheist	T225441 Qualitative data collection for ores bias analysis

Event Timeline

Groceryheist created this task.Jun 10 2019, 4:16 PM

I'm making a list of people who helped with labeling campaigns for the different ores projects.

@Lea_Lacroix_WMDE and @Lydia_Pintscher, I saw that you were involved with bringing ORES to wikidata. Do you have any ideas about community members I should talk to?

Hey! I don't have a lot of information about who helped with the labeling campaigns, but I think you could talk to @Sjoerddebruin, @abian and @matej_suchanek.