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    <abstract>In order to gain a deep understanding of how social context manifests in interactions, we need data that represents interactions from a large community of people over a long period of time, capturing different aspects of social context. In this paper, we present a large corpus of Wikipedia Talk page discussions that are collected from a broad range of topics, containing discussions that happened over a period of 15 years. The dataset contains 166,322 discussion threads, across 1236 articles/topics that span 15 different topic categories or domains. The dataset also captures whether the post is made by an registered user or not, and whether he/she was an administrator at the time of making the post. It also captures the Wikipedia age of editors in terms of number of months spent as an editor, as well as their gender. This corpus will be a valuable resource to investigate a variety of computational sociolinguistics research questions regarding online social interactions.</abstract>
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%0 Conference Proceedings
%T A Corpus of Wikipedia Discussions: Over the Years, with Topic, Power and Gender Labels
%A Prabhakaran, Vinodkumar
%A Rambow, Owen
%S Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC’16)
%D 2016
%8 may
%I European Language Resources Association (ELRA)
%C Portorož, Slovenia
%F prabhakaran-rambow-2016-corpus
%X In order to gain a deep understanding of how social context manifests in interactions, we need data that represents interactions from a large community of people over a long period of time, capturing different aspects of social context. In this paper, we present a large corpus of Wikipedia Talk page discussions that are collected from a broad range of topics, containing discussions that happened over a period of 15 years. The dataset contains 166,322 discussion threads, across 1236 articles/topics that span 15 different topic categories or domains. The dataset also captures whether the post is made by an registered user or not, and whether he/she was an administrator at the time of making the post. It also captures the Wikipedia age of editors in terms of number of months spent as an editor, as well as their gender. This corpus will be a valuable resource to investigate a variety of computational sociolinguistics research questions regarding online social interactions.
%U https://aclanthology.org/L16-1322
%P 2034-2038

Markdown (Informal)

[A Corpus of Wikipedia Discussions: Over the Years, with Topic, Power and Gender Labels](https://aclanthology.org/L16-1322) (Prabhakaran & Rambow, LREC 2016)

• A Corpus of Wikipedia Discussions: Over the Years, with Topic, Power and Gender Labels (Prabhakaran & Rambow, LREC 2016)

ACL

• Vinodkumar Prabhakaran and Owen Rambow. 2016. A Corpus of Wikipedia Discussions: Over the Years, with Topic, Power and Gender Labels. In Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16), pages 2034–2038, Portorož, Slovenia. European Language Resources Association (ELRA).