HAIR: Towards developing a global self-updating peer support group meeting list using human-aided information retrieval

Sabirat Rubya, Xizi Wang, Svetlana Yarosh

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Alcoholics Anonymous (AA) is the largest grassroots peer support group for any health condition. While AA meeting attendance is particularly important for people who are newly sober, newcomers often have trouble finding meetings because of a lack of global up-to-date meeting list due to preference for regional autonomy in AA's organizational structure. Detection of regional webpages containing meetings and extraction of day, time, and address of meetings from those pages are essential steps in making the information available and up-to-date in a global meeting list. However, varied structure of the webpages and the meetings pose challenges in achieving the goal with traditional information retrieval methods. In this paper we propose HAIR: a semi-automated human-aided information retrieval technique and explore its potential to solve this problem. We describe future directions in developing this critical tool and discuss major implications of our work in pointing to the importance of context-specific rather than context-agnostic semi-automated information retrieval techniques by conceptualizing the proposed methods and results in a broader context.

Original languageEnglish (US)
Title of host publicationCHIIR 2019 - Proceedings of the 2019 Conference on Human Information Interaction and Retrieval
PublisherAssociation for Computing Machinery, Inc
Pages83-92
Number of pages10
ISBN (Electronic)9781450360258
DOIs
StatePublished - Mar 8 2019
Event4th ACM SIGIR Conference on Information Interaction and Retrieval, CHIIR 2019 - Glasgow, United Kingdom
Duration: Mar 10 2019Mar 14 2019

Publication series

NameCHIIR 2019 - Proceedings of the 2019 Conference on Human Information Interaction and Retrieval

Conference

Conference4th ACM SIGIR Conference on Information Interaction and Retrieval, CHIIR 2019
CountryUnited Kingdom
CityGlasgow
Period3/10/193/14/19

Keywords

  • Alcoholics anonymous
  • Classification
  • Crowdsourcing
  • Human computation
  • Information retrieval
  • Peer support

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    Rubya, S., Wang, X., & Yarosh, S. (2019). HAIR: Towards developing a global self-updating peer support group meeting list using human-aided information retrieval. In CHIIR 2019 - Proceedings of the 2019 Conference on Human Information Interaction and Retrieval (pp. 83-92). (CHIIR 2019 - Proceedings of the 2019 Conference on Human Information Interaction and Retrieval). Association for Computing Machinery, Inc. https://doi.org/10.1145/3295750.3298933