Change Details

=The Problem= The ReviewStream feed is designed to encourage adoption of newcomer-friendly edit review features in popular antivandalism tools—while improving edit review overall. The new feed will have no effect, however, if it isn't adopted by these programs, so we want to work with the community to provide designs and technical assistance where necessary. But which tools should we focus our attention on? Which will have the biggest effect on newcomers and on the edit-review process generally? Where do we find the biggest bang for our buck? To know where to put our efforts, it will be extremely helpful to know what tools are most popular and/or most productive. Because time is short and we know the edit research team is busy with a big project, we are happy to confer on ways we can whittle this job down so that we get enough data to make decisions without having this be a huge effort. One is that we don't need to look at all possible tools. It's our belief that the following are probably the most relevant: - Huggle - RTRC - STIki - LiveRC - //Any others?// Furthermore, we don't need to have exact figures-- ballpark numbers will do, even if it turns out we can't get apples to apples comparisons. =What Figures Do We Want?= I suppose the most useful feature would be the number of edits (reverts, talk page messages left, Thank-yous....) completed during, say, a given month. Failing that, the number of users per tool? The complication is that we'd ideally like to know this across the eight wikis that are in the initial target group. Thise are: - English Wikipedia - Persian Wikipedia - Dutch Wikipedia - Polish Wikipedia - Portuguese Wikipedia - Russian Wikipedia - Turkish Wikipedia - Wikidata =Deadline= This information would be most useful if we could get it by the beginning of the new year—say, the first week in January.

= Request = ==The Problem== The ReviewStream feed is designed to encourage adoption of newcomer-friendly edit review features in popular antivandalism tools—while improving edit review overall. The new feed will have no effect, however, if it isn't adopted by these programs, so we want to work with the community to provide designs and technical assistance where necessary. But which tools should we focus our attention on? Which will have the biggest effect on newcomers and on the edit-review process generally? Where do we find the biggest bang for our buck? To know where to put our efforts, it will be extremely helpful to know what tools are most popular and/or most productive. Because time is short and we know the edit research team is busy with a big project, we are happy to confer on ways we can whittle this job down so that we get enough data to make decisions without having this be a huge effort. One is that we don't need to look at all possible tools. It's our belief that the following are probably the most relevant: - Huggle - RTRC - STIki - LiveRC - //Any others?// Furthermore, we don't need to have exact figures-- ballpark numbers will do, even if it turns out we can't get apples to apples comparisons. == What Figures Do We Want? == I suppose the most useful feature would be the number of edits (reverts, talk page messages left, Thank-yous....) completed during, say, a given month. Failing that, the number of users per tool? The complication is that we'd ideally like to know this across the eight wikis that are in the initial target group. Thise are: - English Wikipedia - Persian Wikipedia - Dutch Wikipedia - Polish Wikipedia - Portuguese Wikipedia - Russian Wikipedia - Turkish Wikipedia - Wikidata == Deadline == This information would be most useful if we could get it by the beginning of the new year—say, the first week in January. = Response = == Data sources == * Huggle: Can get a number of action taken by searching edit comments for "WP:HG". Don't think there's any data on installations, although we could look at the number of distinct users. Which wikis is this used on? * RTRC: Can get a number of installations by combining gadget and link counts. Doesn't seem to be any way to get the number of actions taken.

== Request = ==The Problem=== The ReviewStream feed is designed to encourage adoption of newcomer-friendly edit review features in popular antivandalism tools—while improving edit review overall. The new feed will have no effect, however, if it isn't adopted by these programs, so we want to work with the community to provide designs and technical assistance where necessary. But which tools should we focus our attention on? Which will have the biggest effect on newcomers and on the edit-review process generally? Where do we find the biggest bang for our buck? To know where to put our efforts, it will be extremely helpful to know what tools are most popular and/or most productive. Because time is short and we know the edit research team is busy with a big project, we are happy to confer on ways we can whittle this job down so that we get enough data to make decisions without having this be a huge effort. One is that we don't need to look at all possible tools. It's our belief that the following are probably the most relevant: - Huggle - RTRC - STIki - LiveRC - //Any others?// Furthermore, we don't need to have exact figures-- ballpark numbers will do, even if it turns out we can't get apples to apples comparisons. === What Figures Do We Want?= == I suppose the most useful feature would be the number of edits (reverts, talk page messages left, Thank-yous....) completed during, say, a given month. Failing that, the number of users per tool? The complication is that we'd ideally like to know this across the eight wikis that are in the initial target group. Thise are: - English Wikipedia - Persian Wikipedia - Dutch Wikipedia - Polish Wikipedia - Portuguese Wikipedia - Russian Wikipedia - Turkish Wikipedia - Wikidata = == Deadline= == This information would be most useful if we could get it by the beginning of the new year—say, the first week in January. = Response = == Data sources == * Huggle: Can get a number of action taken by searching edit comments for "WP:HG". Don't think there's any data on installations, although we could look at the number of distinct users. Which wikis is this used on? * RTRC: Can get a number of installations by combining gadget and link counts. Doesn't seem to be any way to get the number of actions taken.