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Wiki labels gadget. Zrzut ekranu ze strony en:WP:Labels wykorzystującej metki.

Wiki labels is a human computation system for use in "Wiki labels" WikiProjects. In order to perform difficult analyses (e.g. measuring the quality of newcomers over time^[1]) and train intelligent wiki-tools like ORES (e.g. for detecting vandalism^[2]^[3]^[4] and assessing the quality of articles^[5]^[6]^[7]), we need labeled data (also known as "hand coding") and lots of it. The Wiki labels human computation system is designed to make collaboratively labeling wiki artifacts quick and easy. The system is implemented as a MediaWiki gadget/server pair in JavaScript/CSS and Python/Flask/Postgres.

Gadżet

OAuth authorization. Zrzut ekranu z potwierdzenia danych konta w OAuth.

Editors with the gadget installed will find the wiki labels "home" interface load as a single page app within en:Wikipedia:Labels or their local variant (if their wiki has been configured). This single page app will allow an editor to view active campaigns, request worksets and label revisions and other "tasks".

System wykorzystuje mw:Extension:OAuth do integracji z kontem MediaWiki edytującego. Akcje dokonywane w systemie wiki labels system będą powiązane z centralnym kontem użytkownika.

Instalacja

Aby zainstalować gadżet, dodaj podany kod JavaScriptu do swojego global.js. Zobacz przykłady: User:Wiki labeler/global.js (albo listę użytkowników).

Interface translations

Wiki labels is registered at translatewiki.net. Please see translatewiki:Translating:Revision_scoring to contribute translations.

Serwer

Behind the gadget, a server manages "campaigns", "tasks", "worksets" and "labels". This server provides a Restful interface for accessing this data. There are 4 basic modules: auth, users, campaigns and forms. The server also provides some user-facing services for designing new forms and access to a stand-alone gadget.

Generator formularzy

labels.wmflabs.org/form_builder

A form builder interface is provided for the development and testing of forms to support new labeling tasks. Forms fields are configured using a YAML format that reflects OOjs UI. Forms can be submitted for review.

Form builder. A screenshot of the form builder.

Samodzielny gadżet

labels.wmflabs.org/gadget

In order to ease development and testing, we also provide access to the gadget via a single page app. If for some reason the on-wiki version of the gadget is malfunctioning, users can work from this interface.

Stand-alone gadget. A screenshot of the stand-alone gadget.

<translate> === Machine-readable paths === </translate>

/campaigns/ - <translate>

Lists wikis with available campaigns.</translate>

/campaigns/<wiki>/ - <translate>

Lists out campaigns available for a wiki</translate>

Add <tvar

/users/ - <translate>

Provides access to data from the point of view of a user</translate>

/users/<user_id>/ - <translate>

Returns information about a user's activities</translate>

Add <tvar

/auth/ - <translate>

Provides support for authentication of users.</translate>

/auth/initiate/ - <translate> Starts an OAuth handshake with MediaWiki.</translate>
<translate> It is recommended that this path is requested from a pop-up window.</translate>

/auth/callback/ - <translate> Used by MediaWiki to complete an OAuth handshake.</translate>
<translate> When a pop-up window is redirected here, it will be automatically closed.</translate>

/auth/whoami/ - <translate> Prints information about logged-in user</translate>
...

/auth/logout/ - <translate> Deletes session and forgets about user</translate>
...

/forms/ - <translate> Provides access to form configuration and internationalization</translate>

<translate> These forms can be loaded by the labels gadget.</translate>

/forms/<form_name> - <translate> Returns the form configuration</translate>
...

Zobacz też

Przypisy

↑ Halfaker, A., Geiger, R. S., Morgan, J. T., & Riedl, J. (2012). The rise and decline of an open collaboration system: How Wikipedia’s reaction to popularity is causing its decline. American Behavioral Scientist, 0002764212469365.
↑ West, A. G., Kannan, S., & Lee, I. (2010, April). Detecting Wikipedia vandalism via spatio-temporal analysis of revision metadata?. In Proceedings of the Third European Workshop on System Security (pp. 22-28). ACM.
↑ Smets, K., Goethals, B., & Verdonk, B. (2008, July). Automatic vandalism detection in Wikipedia: Towards a machine learning approach. In AAAI workshop on Wikipedia and artificial intelligence: An Evolving Synergy (pp. 43-48).
↑ Adler, B. T., De Alfaro, L., Mola-Velasco, S. M., Rosso, P., & West, A. G. (2011). Wikipedia vandalism detection: Combining natural language, metadata, and reputation features. In Computational linguistics and intelligent text processing (pp. 277-288). Springer Berlin Heidelberg.
↑ Hu, M., Lim, E. P., Sun, A., Lauw, H. W., & Vuong, B. Q. (2007, November). Measuring article quality in wikipedia: models and evaluation. In Proceedings of the sixteenth ACM conference on Conference on information and knowledge management (pp. 243-252). ACM.
↑ Stvilia, B., Twidale, M. B., Smith, L. C., & Gasser, L. (2008). Information quality work organization in Wikipedia. Journal of the American society for information science and technology, 59(6), 983-1001.
↑ Warncke-Wang, M., Cosley, D., & Riedl, J. (2013, August). Tell me more: An actionable quality model for wikipedia. In Proceedings of the 9th International Symposium on Open Collaboration (p. 8). ACM.

[1] Halfaker, A., Geiger, R. S., Morgan, J. T., & Riedl, J. (2012). The rise and decline of an open collaboration system: How Wikipedia’s reaction to popularity is causing its decline. American Behavioral Scientist, 0002764212469365.

[2] West, A. G., Kannan, S., & Lee, I. (2010, April). Detecting Wikipedia vandalism via spatio-temporal analysis of revision metadata?. In Proceedings of the Third European Workshop on System Security (pp. 22-28). ACM.

[3] Smets, K., Goethals, B., & Verdonk, B. (2008, July). Automatic vandalism detection in Wikipedia: Towards a machine learning approach. In AAAI workshop on Wikipedia and artificial intelligence: An Evolving Synergy (pp. 43-48).

[4] Adler, B. T., De Alfaro, L., Mola-Velasco, S. M., Rosso, P., & West, A. G. (2011). Wikipedia vandalism detection: Combining natural language, metadata, and reputation features. In Computational linguistics and intelligent text processing (pp. 277-288). Springer Berlin Heidelberg.

[5] Hu, M., Lim, E. P., Sun, A., Lauw, H. W., & Vuong, B. Q. (2007, November). Measuring article quality in wikipedia: models and evaluation. In Proceedings of the sixteenth ACM conference on Conference on information and knowledge management (pp. 243-252). ACM.

[6] Stvilia, B., Twidale, M. B., Smith, L. C., & Gasser, L. (2008). Information quality work organization in Wikipedia. Journal of the American society for information science and technology, 59(6), 983-1001.

[7] Warncke-Wang, M., Cosley, D., & Riedl, J. (2013, August). Tell me more: An actionable quality model for wikipedia. In Proceedings of the 9th International Symposium on Open Collaboration (p. 8). ACM.

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