Hi,
Are there metrics about which links in each article are the most clicked?
I can think there's a lot to be learned from it: * Data-driven suggestions for manual of style about linking (too much and too few links are a perennial topic of argument) * How do people traverse between topics. * Which terms in the article may need a short explanation in parentheses rather than just a link. * How far down into the article do people bother to read.
Anyway, I can think that accessibility to such data can optimize both readership and editing.
And maybe this can be just taken right from the logs, without any additional EventLogging.
-- Amir Elisha Aharoni · אָמִיר אֱלִישָׁע אַהֲרוֹנִי http://aharoni.wordpress.com “We're living in pieces, I want to live in peace.” – T. Moore
"clicked" as in, where do people click through to or from? Ellery has, I think, a dataset of {internal referer,page,count} tuples (alternately I might be making that up).
On 12 January 2015 at 08:44, Amir E. Aharoni amir.aharoni@mail.huji.ac.il wrote:
Hi,
Are there metrics about which links in each article are the most clicked?
I can think there's a lot to be learned from it:
- Data-driven suggestions for manual of style about linking (too much and
too few links are a perennial topic of argument)
- How do people traverse between topics.
- Which terms in the article may need a short explanation in parentheses
rather than just a link.
- How far down into the article do people bother to read.
Anyway, I can think that accessibility to such data can optimize both readership and editing.
And maybe this can be just taken right from the logs, without any additional EventLogging.
-- Amir Elisha Aharoni · אָמִיר אֱלִישָׁע אַהֲרוֹנִי http://aharoni.wordpress.com “We're living in pieces, I want to live in peace.” – T. Moore
Analytics mailing list Analytics@lists.wikimedia.org https://lists.wikimedia.org/mailman/listinfo/analytics
Yes, sounds like what I'm looking for. Where can I find it?
-- Amir Elisha Aharoni · אָמִיר אֱלִישָׁע אַהֲרוֹנִי http://aharoni.wordpress.com “We're living in pieces, I want to live in peace.” – T. Moore
2015-01-12 16:03 GMT+02:00 Oliver Keyes okeyes@wikimedia.org:
"clicked" as in, where do people click through to or from? Ellery has, I think, a dataset of {internal referer,page,count} tuples (alternately I might be making that up).
On 12 January 2015 at 08:44, Amir E. Aharoni amir.aharoni@mail.huji.ac.il wrote:
Hi,
Are there metrics about which links in each article are the most clicked?
I can think there's a lot to be learned from it:
- Data-driven suggestions for manual of style about linking (too much and
too few links are a perennial topic of argument)
- How do people traverse between topics.
- Which terms in the article may need a short explanation in parentheses
rather than just a link.
- How far down into the article do people bother to read.
Anyway, I can think that accessibility to such data can optimize both readership and editing.
And maybe this can be just taken right from the logs, without any
additional
EventLogging.
-- Amir Elisha Aharoni · אָמִיר אֱלִישָׁע אַהֲרוֹנִי http://aharoni.wordpress.com “We're living in pieces, I want to live in peace.” – T. Moore
Analytics mailing list Analytics@lists.wikimedia.org https://lists.wikimedia.org/mailman/listinfo/analytics
-- Oliver Keyes Research Analyst Wikimedia Foundation
Analytics mailing list Analytics@lists.wikimedia.org https://lists.wikimedia.org/mailman/listinfo/analytics
I don't know; emphasis on "/Ellery/ has...a dataset of". Ellery?
On 12 January 2015 at 09:08, Amir E. Aharoni amir.aharoni@mail.huji.ac.il wrote:
Yes, sounds like what I'm looking for. Where can I find it?
-- Amir Elisha Aharoni · אָמִיר אֱלִישָׁע אַהֲרוֹנִי http://aharoni.wordpress.com “We're living in pieces, I want to live in peace.” – T. Moore
2015-01-12 16:03 GMT+02:00 Oliver Keyes okeyes@wikimedia.org:
"clicked" as in, where do people click through to or from? Ellery has, I think, a dataset of {internal referer,page,count} tuples (alternately I might be making that up).
On 12 January 2015 at 08:44, Amir E. Aharoni amir.aharoni@mail.huji.ac.il wrote:
Hi,
Are there metrics about which links in each article are the most clicked?
I can think there's a lot to be learned from it:
- Data-driven suggestions for manual of style about linking (too much
and too few links are a perennial topic of argument)
- How do people traverse between topics.
- Which terms in the article may need a short explanation in parentheses
rather than just a link.
- How far down into the article do people bother to read.
Anyway, I can think that accessibility to such data can optimize both readership and editing.
And maybe this can be just taken right from the logs, without any additional EventLogging.
-- Amir Elisha Aharoni · אָמִיר אֱלִישָׁע אַהֲרוֹנִי http://aharoni.wordpress.com “We're living in pieces, I want to live in peace.” – T. Moore
Analytics mailing list Analytics@lists.wikimedia.org https://lists.wikimedia.org/mailman/listinfo/analytics
-- Oliver Keyes Research Analyst Wikimedia Foundation
Analytics mailing list Analytics@lists.wikimedia.org https://lists.wikimedia.org/mailman/listinfo/analytics
Analytics mailing list Analytics@lists.wikimedia.org https://lists.wikimedia.org/mailman/listinfo/analytics
Hi Amir,
We're working on a link improvement project [1] that will answer your first two questions. The first round of tests will be on ptwiki, then enwiki, and depending on the results we may add more languages. The algorithm used is robust to the choice of language, its accuracy, however, depends on the traffic the language receives.
We will continue to update the project page as more results become available.
Best, Leila
[1] https://meta.wikimedia.org/wiki/Research:Improving_link_coverage
On Mon, Jan 12, 2015 at 5:44 AM, Amir E. Aharoni < amir.aharoni@mail.huji.ac.il> wrote:
Hi,
Are there metrics about which links in each article are the most clicked?
I can think there's a lot to be learned from it:
- Data-driven suggestions for manual of style about linking (too much and
too few links are a perennial topic of argument)
- How do people traverse between topics.
- Which terms in the article may need a short explanation in parentheses
rather than just a link.
- How far down into the article do people bother to read.
Anyway, I can think that accessibility to such data can optimize both readership and editing.
And maybe this can be just taken right from the logs, without any additional EventLogging.
-- Amir Elisha Aharoni · אָמִיר אֱלִישָׁע אַהֲרוֹנִי http://aharoni.wordpress.com “We're living in pieces, I want to live in peace.” – T. Moore
Analytics mailing list Analytics@lists.wikimedia.org https://lists.wikimedia.org/mailman/listinfo/analytics
Hi Amir,
Oliver is correct, I have a dataset of {internal referer,page,count} tuples for last December. We have not had time to talk about the privacy implications of making this data public. But once we have that conversation I will put it up somewhere and let you know.
Ellery
On Mon, Jan 12, 2015 at 6:40 AM, Leila Zia leila@wikimedia.org wrote:
Hi Amir,
We're working on a link improvement project [1] that will answer your first two questions. The first round of tests will be on ptwiki, then enwiki, and depending on the results we may add more languages. The algorithm used is robust to the choice of language, its accuracy, however, depends on the traffic the language receives.
We will continue to update the project page as more results become available.
Best, Leila
[1] https://meta.wikimedia.org/wiki/Research:Improving_link_coverage
On Mon, Jan 12, 2015 at 5:44 AM, Amir E. Aharoni < amir.aharoni@mail.huji.ac.il> wrote:
Hi,
Are there metrics about which links in each article are the most clicked?
I can think there's a lot to be learned from it:
- Data-driven suggestions for manual of style about linking (too much and
too few links are a perennial topic of argument)
- How do people traverse between topics.
- Which terms in the article may need a short explanation in parentheses
rather than just a link.
- How far down into the article do people bother to read.
Anyway, I can think that accessibility to such data can optimize both readership and editing.
And maybe this can be just taken right from the logs, without any additional EventLogging.
-- Amir Elisha Aharoni · אָמִיר אֱלִישָׁע אַהֲרוֹנִי http://aharoni.wordpress.com “We're living in pieces, I want to live in peace.” – T. Moore
Analytics mailing list Analytics@lists.wikimedia.org https://lists.wikimedia.org/mailman/listinfo/analytics
Analytics mailing list Analytics@lists.wikimedia.org https://lists.wikimedia.org/mailman/listinfo/analytics
Hey Ellery, I also requested such a dataset some time ago in this list. If you can also share that list with me I would very much appreciate it. On a side note, I think such a dataset generated regularly and shared with the public (like page counts) would be extremely useful for variety of cases.
Thanks
On Mon, Jan 12, 2015 at 2:57 PM, Ellery Wulczyn ewulczyn@wikimedia.org wrote:
Hi Amir,
Oliver is correct, I have a dataset of {internal referer,page,count} tuples for last December. We have not had time to talk about the privacy implications of making this data public. But once we have that conversation I will put it up somewhere and let you know.
Ellery
On Mon, Jan 12, 2015 at 6:40 AM, Leila Zia leila@wikimedia.org wrote:
Hi Amir,
We're working on a link improvement project [1] that will answer your first two questions. The first round of tests will be on ptwiki, then enwiki, and depending on the results we may add more languages. The algorithm used is robust to the choice of language, its accuracy, however, depends on the traffic the language receives.
We will continue to update the project page as more results become available.
Best, Leila
[1] https://meta.wikimedia.org/wiki/Research:Improving_link_coverage
On Mon, Jan 12, 2015 at 5:44 AM, Amir E. Aharoni < amir.aharoni@mail.huji.ac.il> wrote:
Hi,
Are there metrics about which links in each article are the most clicked?
I can think there's a lot to be learned from it:
- Data-driven suggestions for manual of style about linking (too much
and too few links are a perennial topic of argument)
- How do people traverse between topics.
- Which terms in the article may need a short explanation in parentheses
rather than just a link.
- How far down into the article do people bother to read.
Anyway, I can think that accessibility to such data can optimize both readership and editing.
And maybe this can be just taken right from the logs, without any additional EventLogging.
-- Amir Elisha Aharoni · אָמִיר אֱלִישָׁע אַהֲרוֹנִי http://aharoni.wordpress.com “We're living in pieces, I want to live in peace.” – T. Moore
Analytics mailing list Analytics@lists.wikimedia.org https://lists.wikimedia.org/mailman/listinfo/analytics
Analytics mailing list Analytics@lists.wikimedia.org https://lists.wikimedia.org/mailman/listinfo/analytics
Analytics mailing list Analytics@lists.wikimedia.org https://lists.wikimedia.org/mailman/listinfo/analytics
Hi Amir --
Would you like to see these datasets released publicly or was there a specific project you were interested in using them for?
thanks,
-Toby
On Mon, Jan 12, 2015 at 5:44 AM, Amir E. Aharoni < amir.aharoni@mail.huji.ac.il> wrote:
Hi,
Are there metrics about which links in each article are the most clicked?
I can think there's a lot to be learned from it:
- Data-driven suggestions for manual of style about linking (too much and
too few links are a perennial topic of argument)
- How do people traverse between topics.
- Which terms in the article may need a short explanation in parentheses
rather than just a link.
- How far down into the article do people bother to read.
Anyway, I can think that accessibility to such data can optimize both readership and editing.
And maybe this can be just taken right from the logs, without any additional EventLogging.
-- Amir Elisha Aharoni · אָמִיר אֱלִישָׁע אַהֲרוֹנִי http://aharoni.wordpress.com “We're living in pieces, I want to live in peace.” – T. Moore
Analytics mailing list Analytics@lists.wikimedia.org https://lists.wikimedia.org/mailman/listinfo/analytics
I am asking for a real-life friend who is doing some research. It's not for any particular project of mine, but I can easily imagine that it can be useful for a lot of editors and product managers as I wrote in the opening post.
(And I cannot think of any privacy problems if the data is not tied to any particular people, but maybe I'm naive.)
-- Amir Elisha Aharoni · אָמִיר אֱלִישָׁע אַהֲרוֹנִי http://aharoni.wordpress.com “We're living in pieces, I want to live in peace.” – T. Moore
2015-01-12 22:00 GMT+02:00 Toby Negrin tnegrin@wikimedia.org:
Hi Amir --
Would you like to see these datasets released publicly or was there a specific project you were interested in using them for?
thanks,
-Toby
On Mon, Jan 12, 2015 at 5:44 AM, Amir E. Aharoni < amir.aharoni@mail.huji.ac.il> wrote:
Hi,
Are there metrics about which links in each article are the most clicked?
I can think there's a lot to be learned from it:
- Data-driven suggestions for manual of style about linking (too much and
too few links are a perennial topic of argument)
- How do people traverse between topics.
- Which terms in the article may need a short explanation in parentheses
rather than just a link.
- How far down into the article do people bother to read.
Anyway, I can think that accessibility to such data can optimize both readership and editing.
And maybe this can be just taken right from the logs, without any additional EventLogging.
-- Amir Elisha Aharoni · אָמִיר אֱלִישָׁע אַהֲרוֹנִי http://aharoni.wordpress.com “We're living in pieces, I want to live in peace.” – T. Moore
Analytics mailing list Analytics@lists.wikimedia.org https://lists.wikimedia.org/mailman/listinfo/analytics
Analytics mailing list Analytics@lists.wikimedia.org https://lists.wikimedia.org/mailman/listinfo/analytics
Thanks Amir -- feel free to have your friend reach out to this list directly.
As Ellery said, we're figuring our if there are any privacy implications in releasing this dataset.
-Toby
On Mon, Jan 12, 2015 at 12:05 PM, Amir E. Aharoni < amir.aharoni@mail.huji.ac.il> wrote:
I am asking for a real-life friend who is doing some research. It's not for any particular project of mine, but I can easily imagine that it can be useful for a lot of editors and product managers as I wrote in the opening post.
(And I cannot think of any privacy problems if the data is not tied to any particular people, but maybe I'm naive.)
-- Amir Elisha Aharoni · אָמִיר אֱלִישָׁע אַהֲרוֹנִי http://aharoni.wordpress.com “We're living in pieces, I want to live in peace.” – T. Moore
2015-01-12 22:00 GMT+02:00 Toby Negrin tnegrin@wikimedia.org:
Hi Amir --
Would you like to see these datasets released publicly or was there a specific project you were interested in using them for?
thanks,
-Toby
On Mon, Jan 12, 2015 at 5:44 AM, Amir E. Aharoni < amir.aharoni@mail.huji.ac.il> wrote:
Hi,
Are there metrics about which links in each article are the most clicked?
I can think there's a lot to be learned from it:
- Data-driven suggestions for manual of style about linking (too much
and too few links are a perennial topic of argument)
- How do people traverse between topics.
- Which terms in the article may need a short explanation in parentheses
rather than just a link.
- How far down into the article do people bother to read.
Anyway, I can think that accessibility to such data can optimize both readership and editing.
And maybe this can be just taken right from the logs, without any additional EventLogging.
-- Amir Elisha Aharoni · אָמִיר אֱלִישָׁע אַהֲרוֹנִי http://aharoni.wordpress.com “We're living in pieces, I want to live in peace.” – T. Moore
Analytics mailing list Analytics@lists.wikimedia.org https://lists.wikimedia.org/mailman/listinfo/analytics
Analytics mailing list Analytics@lists.wikimedia.org https://lists.wikimedia.org/mailman/listinfo/analytics
Analytics mailing list Analytics@lists.wikimedia.org https://lists.wikimedia.org/mailman/listinfo/analytics
Hi all,
I'm curious about the privacy implications as well. I can't think of specific problems with this data, *but* it's information that I didn't think we'd ever been logging. We've historically been quite hands-off with any kind of reader information, other than raw hit counts, and there might well be some community discomfort at discovering it's been both tracked and released, even if completely anonymised.
Andrew.
On 12 January 2015 at 20:08, Toby Negrin tnegrin@wikimedia.org wrote:
Thanks Amir -- feel free to have your friend reach out to this list directly.
As Ellery said, we're figuring our if there are any privacy implications in releasing this dataset.
-Toby
On Mon, Jan 12, 2015 at 12:05 PM, Amir E. Aharoni amir.aharoni@mail.huji.ac.il wrote:
I am asking for a real-life friend who is doing some research. It's not for any particular project of mine, but I can easily imagine that it can be useful for a lot of editors and product managers as I wrote in the opening post.
(And I cannot think of any privacy problems if the data is not tied to any particular people, but maybe I'm naive.)
-- Amir Elisha Aharoni · אָמִיר אֱלִישָׁע אַהֲרוֹנִי http://aharoni.wordpress.com “We're living in pieces, I want to live in peace.” – T. Moore
2015-01-12 22:00 GMT+02:00 Toby Negrin tnegrin@wikimedia.org:
Hi Amir --
Would you like to see these datasets released publicly or was there a specific project you were interested in using them for?
thanks,
-Toby
On Mon, Jan 12, 2015 at 5:44 AM, Amir E. Aharoni amir.aharoni@mail.huji.ac.il wrote:
Hi,
Are there metrics about which links in each article are the most clicked?
I can think there's a lot to be learned from it:
- Data-driven suggestions for manual of style about linking (too much
and too few links are a perennial topic of argument)
- How do people traverse between topics.
- Which terms in the article may need a short explanation in parentheses
rather than just a link.
- How far down into the article do people bother to read.
Anyway, I can think that accessibility to such data can optimize both readership and editing.
And maybe this can be just taken right from the logs, without any additional EventLogging.
-- Amir Elisha Aharoni · אָמִיר אֱלִישָׁע אַהֲרוֹנִי http://aharoni.wordpress.com “We're living in pieces, I want to live in peace.” – T. Moore
Analytics mailing list Analytics@lists.wikimedia.org https://lists.wikimedia.org/mailman/listinfo/analytics
Analytics mailing list Analytics@lists.wikimedia.org https://lists.wikimedia.org/mailman/listinfo/analytics
Analytics mailing list Analytics@lists.wikimedia.org https://lists.wikimedia.org/mailman/listinfo/analytics
Analytics mailing list Analytics@lists.wikimedia.org https://lists.wikimedia.org/mailman/listinfo/analytics
Hey Andrew,
that’s a great question. I asked Legal to review the implications of publicly releasing a snapshot of this data and I’ll post the outcome of the audit on this list. FWIW the data in question will be aggregated from the logs of raw HTTP request that WMF passively receives. This is the same type of data we previously used for the presentation on readership trends the Analytics Team gave at Monthly Metrics in December [1] The format of the logs and the data they contain is described here [2]
Personally identifiable information (such as IP addresses or User Agents) will not be used other than for the purpose of filtering bots and automated requests: clickthrough data will be obtained by parsing and counting specific string occurrences (such as an article title) in the referer string of an HTTP request. In other words, we will be counting and aggregating occurrences of requests for article B having article A as a string in the referral. I’ll work with Ellery to release the code of the log parsing script so it can be publicly reviewed before we move forward.
Hope this addresses your concerns,
Dario
[1] https://meta.wikimedia.org/w/index.php?title=File:2014_Readership_Update,_WM... https://meta.wikimedia.org/w/index.php?title=File:2014_Readership_Update,_WMF_Metrics_Meeting,_December.pdf&page=10 [2] https://wikitech.wikimedia.org/wiki/Analytics/Cluster/Hive https://wikitech.wikimedia.org/wiki/Analytics/Cluster/Hive
On Jan 12, 2015, at 1:27 PM, Andrew Gray andrew.gray@dunelm.org.uk wrote:
Hi all,
I'm curious about the privacy implications as well. I can't think of specific problems with this data, *but* it's information that I didn't think we'd ever been logging. We've historically been quite hands-off with any kind of reader information, other than raw hit counts, and there might well be some community discomfort at discovering it's been both tracked and released, even if completely anonymised.
Andrew.
On 12 January 2015 at 20:08, Toby Negrin tnegrin@wikimedia.org wrote:
Thanks Amir -- feel free to have your friend reach out to this list directly.
As Ellery said, we're figuring our if there are any privacy implications in releasing this dataset.
-Toby
On Mon, Jan 12, 2015 at 12:05 PM, Amir E. Aharoni amir.aharoni@mail.huji.ac.il wrote:
I am asking for a real-life friend who is doing some research. It's not for any particular project of mine, but I can easily imagine that it can be useful for a lot of editors and product managers as I wrote in the opening post.
(And I cannot think of any privacy problems if the data is not tied to any particular people, but maybe I'm naive.)
-- Amir Elisha Aharoni · אָמִיר אֱלִישָׁע אַהֲרוֹנִי http://aharoni.wordpress.com “We're living in pieces, I want to live in peace.” – T. Moore
2015-01-12 22:00 GMT+02:00 Toby Negrin tnegrin@wikimedia.org:
Hi Amir --
Would you like to see these datasets released publicly or was there a specific project you were interested in using them for?
thanks,
-Toby
On Mon, Jan 12, 2015 at 5:44 AM, Amir E. Aharoni amir.aharoni@mail.huji.ac.il wrote:
Hi,
Are there metrics about which links in each article are the most clicked?
I can think there's a lot to be learned from it:
- Data-driven suggestions for manual of style about linking (too much
and too few links are a perennial topic of argument)
- How do people traverse between topics.
- Which terms in the article may need a short explanation in parentheses
rather than just a link.
- How far down into the article do people bother to read.
Anyway, I can think that accessibility to such data can optimize both readership and editing.
And maybe this can be just taken right from the logs, without any additional EventLogging.
-- Amir Elisha Aharoni · אָמִיר אֱלִישָׁע אַהֲרוֹנִי http://aharoni.wordpress.com “We're living in pieces, I want to live in peace.” – T. Moore
Analytics mailing list Analytics@lists.wikimedia.org https://lists.wikimedia.org/mailman/listinfo/analytics
Analytics mailing list Analytics@lists.wikimedia.org https://lists.wikimedia.org/mailman/listinfo/analytics
Analytics mailing list Analytics@lists.wikimedia.org https://lists.wikimedia.org/mailman/listinfo/analytics
Analytics mailing list Analytics@lists.wikimedia.org https://lists.wikimedia.org/mailman/listinfo/analytics
--
- Andrew Gray
andrew.gray@dunelm.org.uk
Analytics mailing list Analytics@lists.wikimedia.org https://lists.wikimedia.org/mailman/listinfo/analytics
Hi Dario,
I confess I'm not personally very concerned, I just fear the nebulous community might be ;-). We've been very good at seeing "Wikimedia doesn't have the resources to record/analyse this information" and hearing "Wikimedia is so privacy-driven it doesn't *want* to record/analyse this information"...
The proposed safeguards do look sensible. Will you be releasing all pages, or just ns0->ns0?
One datapoint that would also be worth considering generating is the number of clickthroughs from xx.wiki to yy.wiki - even without recording the page titles, this could be very interesting.
Andrew.
On 13 January 2015 at 00:42, Dario Taraborelli dtaraborelli@wikimedia.org wrote:
Hey Andrew,
that’s a great question. I asked Legal to review the implications of publicly releasing a snapshot of this data and I’ll post the outcome of the audit on this list. FWIW the data in question will be aggregated from the logs of raw HTTP request that WMF passively receives. This is the same type of data we previously used for the presentation on readership trends the Analytics Team gave at Monthly Metrics in December [1] The format of the logs and the data they contain is described here [2]
Personally identifiable information (such as IP addresses or User Agents) will not be used other than for the purpose of filtering bots and automated requests: clickthrough data will be obtained by parsing and counting specific string occurrences (such as an article title) in the referer string of an HTTP request. In other words, we will be counting and aggregating occurrences of requests for article B having article A as a string in the referral. I’ll work with Ellery to release the code of the log parsing script so it can be publicly reviewed before we move forward.
Hope this addresses your concerns,
Dario
[1] https://meta.wikimedia.org/w/index.php?title=File:2014_Readership_Update,_WM... [2] https://wikitech.wikimedia.org/wiki/Analytics/Cluster/Hive
On Jan 12, 2015, at 1:27 PM, Andrew Gray andrew.gray@dunelm.org.uk wrote:
Hi all,
I'm curious about the privacy implications as well. I can't think of specific problems with this data, *but* it's information that I didn't think we'd ever been logging. We've historically been quite hands-off with any kind of reader information, other than raw hit counts, and there might well be some community discomfort at discovering it's been both tracked and released, even if completely anonymised.
Andrew.
On 12 January 2015 at 20:08, Toby Negrin tnegrin@wikimedia.org wrote:
Thanks Amir -- feel free to have your friend reach out to this list directly.
As Ellery said, we're figuring our if there are any privacy implications in releasing this dataset.
-Toby
On Mon, Jan 12, 2015 at 12:05 PM, Amir E. Aharoni amir.aharoni@mail.huji.ac.il wrote:
I am asking for a real-life friend who is doing some research. It's not for any particular project of mine, but I can easily imagine that it can be useful for a lot of editors and product managers as I wrote in the opening post.
(And I cannot think of any privacy problems if the data is not tied to any particular people, but maybe I'm naive.)
-- Amir Elisha Aharoni · אָמִיר אֱלִישָׁע אַהֲרוֹנִי http://aharoni.wordpress.com “We're living in pieces, I want to live in peace.” – T. Moore
2015-01-12 22:00 GMT+02:00 Toby Negrin tnegrin@wikimedia.org:
Hi Amir --
Would you like to see these datasets released publicly or was there a specific project you were interested in using them for?
thanks,
-Toby
On Mon, Jan 12, 2015 at 5:44 AM, Amir E. Aharoni amir.aharoni@mail.huji.ac.il wrote:
Hi,
Are there metrics about which links in each article are the most clicked?
I can think there's a lot to be learned from it:
- Data-driven suggestions for manual of style about linking (too much
and too few links are a perennial topic of argument)
- How do people traverse between topics.
- Which terms in the article may need a short explanation in parentheses
rather than just a link.
- How far down into the article do people bother to read.
Anyway, I can think that accessibility to such data can optimize both readership and editing.
And maybe this can be just taken right from the logs, without any additional EventLogging.
-- Amir Elisha Aharoni · אָמִיר אֱלִישָׁע אַהֲרוֹנִי http://aharoni.wordpress.com “We're living in pieces, I want to live in peace.” – T. Moore
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