Quantcast

Re: Wiki-research-l Digest, Vol 139, Issue 18

classic Classic list List threaded Threaded
1 message Options
Reply | Threaded
Open this post in threaded view
|  
Report Content as Inappropriate

Re: Wiki-research-l Digest, Vol 139, Issue 18

Xiangju Qin
Hi Jan,

During my PhD, I did some research about how online uses evolve/develop
over time in online communities using topic modeling / clustering. Topic
modeling / mixture models are very powerful tools to learn the hidden
knowledge and structures underlying the data.

These two papers may be what you are looking for:

1. Xiangju Qin, Pádraig Cunningham, Michael Salter-Townshend. “Online
Trans-dimensional Von Mises-Fisher Mixture Models for User Profiles”.
Journal of Machine Learning Research, 17(200): 1-51, 2016.
   http://www.jmlr.org/papers/volume17/15-454/source/15-454.pdf

2. Xiangju Qin, Derek Greene, Pádraig Cunningham. “A Latent Space Analysis
of Editor Lifecycles in Wikipedia”. In: M. Atzmueller et al. (eds): MSM,
MUSE, SenseML 2014. LNAI 9546, pp. 46–69, 2016.
   http://link.springer.com/chapter/10.1007/978-3-319-29009-6_3

A minus point of these two papers is that we didn't consider user activity
in a very specific/niched level that you just described. Yes, considering
user activity in these context would shape more insights about the
potential challenges underlying Wikipedia platform (e.g. lost of different
types of editors, changes in edits to different Wiki pages over time)

Hope this helpful.

Best, Xiangju


On 20 March 2017 at 14:00, <[hidden email]>
wrote:

> Send Wiki-research-l mailing list submissions to
>         [hidden email]
>
> To subscribe or unsubscribe via the World Wide Web, visit
>         https://lists.wikimedia.org/mailman/listinfo/wiki-research-l
> or, via email, send a message with subject or body 'help' to
>         [hidden email]
>
> You can reach the person managing the list at
>         [hidden email]
>
> When replying, please edit your Subject line so it is more specific
> than "Re: Contents of Wiki-research-l digest..."
>
>
> Today's Topics:
>
>    1. Editors: research on transitions, learning over time, leaving
>       (Jan Dittrich)
>    2. Re: Editors: research on transitions, learning over time,
>       leaving (Piscopo A.)
>
>
> ----------------------------------------------------------------------
>
> Message: 1
> Date: Mon, 20 Mar 2017 10:34:31 +0100
> From: Jan Dittrich <[hidden email]>
> To: Wiki Research-l <[hidden email]>
> Subject: [Wiki-research-l] Editors: research on transitions,    learning
>         over time, leaving
> Message-ID:
>         <[hidden email]
> ail.com>
> Content-Type: text/plain; charset=UTF-8
>
> Hello,
>
> I am looking for research on how editors transition through various levels
> of involvement in their time as editors. The questions I ask myself are:
>
> - How many people to come each month?
> - How many editors leave?
>
> …those are not too difficult to answer but…
>
> - How many people become more involved over time? E.g. How many each month
> come to a level where they are interested in handling many pages on the
> watchlist, learn the less obvious aspects of wiki culture etc.
>
> In my work as designer I am often involved in features for intermediate
> and/or very involved users and I’m wondering if there are any ballpark
> estimates of how many people learn these features each month.
>
> Jan
>
> --
> Jan Dittrich
> UX Design/ User Research
>
> Wikimedia Deutschland e.V. | Tempelhofer Ufer 23-24 | 10963 Berlin
> Phone: +49 (0)30 219 158 26-0
> http://wikimedia.de
>
> Imagine a world, in which every single human being can freely share in the
> sum of all knowledge. That‘s our commitment.
>
> Wikimedia Deutschland - Gesellschaft zur Förderung Freien Wissens e. V.
> Eingetragen im Vereinsregister des Amtsgerichts Berlin-Charlottenburg unter
> der Nummer 23855 B. Als gemeinnützig anerkannt durch das Finanzamt für
> Körperschaften I Berlin, Steuernummer 27/029/42207.
>
>
> ------------------------------
>
> Message: 2
> Date: Mon, 20 Mar 2017 10:02:38 +0000
> From: Piscopo A. <[hidden email]>
> To: Research into Wikimedia content and communities
>         <[hidden email]>
> Subject: Re: [Wiki-research-l] Editors: research on transitions,
>         learning over time, leaving
> Message-ID: <[hidden email]>
> Content-Type: text/plain; charset="utf-8"
>
> Hi Jan
>
> Together with other people in my group, we wrote a paper about how
> Wikidata editors change their behaviour as they become more experienced.
> It might be not precisely what you are looking for, as our study has a
> qualitative approach, while it seems that you are looking for something
> more quantitative, but you might have a look if you want.
> This is the link: https://eprints.soton.ac.uk/401755/
>
> Please let me know if you have any questions,
> Alessandro
>
> –––
> Alessandro Piscopo
> Web and Internet Science Group
> School of Electronics and Computer Science
> University of Southampton
> email: [hidden email]<mailto:[hidden email]>
>
> On 20 Mar 2017, at 09:34, Jan Dittrich <[hidden email]<mailto:
> [hidden email]>> wrote:
>
> Hello,
>
> I am looking for research on how editors transition through various levels
> of involvement in their time as editors. The questions I ask myself are:
>
> - How many people to come each month?
> - How many editors leave?
>
> …those are not too difficult to answer but…
>
> - How many people become more involved over time? E.g. How many each month
> come to a level where they are interested in handling many pages on the
> watchlist, learn the less obvious aspects of wiki culture etc.
>
> In my work as designer I am often involved in features for intermediate
> and/or very involved users and I’m wondering if there are any ballpark
> estimates of how many people learn these features each month.
>
> Jan
>
> --
> Jan Dittrich
> UX Design/ User Research
>
> Wikimedia Deutschland e.V. | Tempelhofer Ufer 23-24 | 10963 Berlin
> Phone: +49 (0)30 219 158 26-0
> http://wikimedia.de
>
> Imagine a world, in which every single human being can freely share in the
> sum of all knowledge. That‘s our commitment.
>
> Wikimedia Deutschland - Gesellschaft zur Förderung Freien Wissens e. V.
> Eingetragen im Vereinsregister des Amtsgerichts Berlin-Charlottenburg unter
> der Nummer 23855 B. Als gemeinnützig anerkannt durch das Finanzamt für
> Körperschaften I Berlin, Steuernummer 27/029/42207.
> _______________________________________________
> Wiki-research-l mailing list
> [hidden email]
> https://lists.wikimedia.org/mailman/listinfo/wiki-research-l
>
>
> ------------------------------
>
> Subject: Digest Footer
>
> _______________________________________________
> Wiki-research-l mailing list
> [hidden email]
> https://lists.wikimedia.org/mailman/listinfo/wiki-research-l
>
>
> ------------------------------
>
> End of Wiki-research-l Digest, Vol 139, Issue 18
> ************************************************
>



--
Xiangju Qin, PhD
Postdoctoral researcher
Department of Computer Science, Aalto University
Email: [hidden email] or [hidden email]
<[hidden email]>
Address: Department of Computer Science, Aalto University, P.O. Box 15400,
FI-00076 Aalto, Espoo, Finland
_______________________________________________
Wiki-research-l mailing list
[hidden email]
https://lists.wikimedia.org/mailman/listinfo/wiki-research-l
Loading...