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Understanding Participant Behavior Trajectories in Online Health Support Groups Using Automatic Extraction Methods

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2012

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Proceedings of the 2012 ACM International Conference on Supporting Group Work

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Association for Computing Machinery

Abstract

This paper presents an automatic analysis method that enables efficient examination of participant behavior trajectories in online communities, which offers the opportunity to examine behavior over time at a level of granularity that has previously only been possible in small scale case study analyses. We provide an empirical validation of its performance. We then illustrate how this method offers insights into behavior patterns that enable avoiding faulty oversimplified assumptions about participation, such as that it follows a consistent trend over time. In particular, we use this method to investigate the connection between user behavior and distressful cancer events and demonstrate how this tool could assist in cancer story summarization.

Description

Wen, Miaomiao; Rose, Carolyn Penstein (2012): Understanding Participant Behavior Trajectories in Online Health Support Groups Using Automatic Extraction Methods. Proceedings of the 2012 ACM International Conference on Supporting Group Work. DOI: 10.1145/2389176.2389205. New York, NY, USA: Association for Computing Machinery. pp. 179–188. Sanibel Island, Florida, USA

Keywords

natural language analysis, cancer trajectory, online support groups, disease event

Citation

DOI

10.1145/2389176.2389205

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URI

https://dl.eusset.eu/handle/20.500.12015/4933

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GROUP 2012

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Number of citations to item: 14

  • Andrea L Hartzler, Megan N Taylor, Albert Park, Troy Griffiths, Uba Backonja, David W McDonald, Sam Wahbeh, Cory Brown, Wanda Pratt (2016): Leveraging cues from person-generated health data for peer matching in online communities, In: Journal of the American Medical Informatics Association 3(23), doi:10.1093/jamia/ocv175
  • Diyi Yang, Robert E. Kraut, Tenbroeck Smith, Elijah Mayfield, Dan Jurafsky (2019): Seekers, Providers, Welcomers, and Storytellers, In: Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems, doi:10.1145/3290605.3300574
  • Albert Park, Andrea L Hartzler, Jina Huh, David W McDonald, Wanda Pratt (2015): Automatically Detecting Failures in Natural Language Processing Tools for Online Community Text, In: Journal of Medical Internet Research 8(17), doi:10.2196/jmir.4612
  • Andrea L. Hartzler, Bridget Weis, Carly Cahill, Wanda Pratt, Albert Park, Uba Backonja, David W. McDonald (2016): Design and Usability of Interactive User Profiles for Online Health Communities, In: ACM Transactions on Computer-Human Interaction 3(23), doi:10.1145/2903718
  • Karen A. Monsen, Sasank Maganti, Robert A. Giaquinto, Michelle A. Mathiason, Ragnhildur I. Bjarnadottir, Mary Jo Kreitzer (2018): Use of the Omaha System for ontology-based text mining to discover meaning within CaringBridge social media journals, In: Kontakt 3(20), doi:10.1016/j.kontakt.2018.03.002
  • Liuping Wang, Dakuo Wang, Feng Tian, Zhenhui Peng, Xiangmin Fan, Zhan Zhang, Mo Yu, Xiaojuan Ma, Hongan Wang (2021): CASS, In: Proceedings of the ACM on Human-Computer Interaction CSCW1(5), doi:10.1145/3449083
  • Sindhu Kiranmai Ernala, Kathan H. Kashiparekh, Amir Bolous, Asra Ali, John M. Kane, Michael L. Birnbaum, Munmun De Choudhury (2021): A Social Media Study on Mental Health Status Transitions Surrounding Psychiatric Hospitalizations, In: Proceedings of the ACM on Human-Computer Interaction CSCW1(5), doi:10.1145/3449229
  • Diana MacLean, Sonal Gupta, Anna Lembke, Christopher Manning, Jeffrey Heer (2015): Forum77, In: Proceedings of the 18th ACM Conference on Computer Supported Cooperative Work & Social Computing, doi:10.1145/2675133.2675146
  • Bhimavarapu Usharani, Lalit Mohan Goyal (2022): Prediction of Mental Health in Cancer Patients Using Ensemble Machine Learning, In: Lecture Notes on Data Engineering and Communications Technologies, doi:10.1007/978-981-19-1724-0_13
  • Xi Wang, Zhiya Zuo, Xing Tong, Yushan Zhu (2022): Talk more about yourself: a data-driven extended theory of reasoned action for online health communities, In: Information Technology and Management 3(25), doi:10.1007/s10799-022-00376-6
  • Sindhu Kiranmai Ernala, Jordyn Seybolt, Dong Whi Yoo, Michael L. Birnbaum, John M. Kane, Munmun De Choudhury (2022): The Reintegration Journey Following a Psychiatric Hospitalization: Examining the Role of Social Technologies, In: Proceedings of the ACM on Human-Computer Interaction CSCW1(6), doi:10.1145/3512969
  • Zachary Levonian, Marco Dow, Drew Erikson, Sourojit Ghosh, Hannah Miller Hillberg, Saumik Narayanan, Loren Terveen, Svetlana Yarosh (2021): Patterns of Patient and Caregiver Mutual Support Connections in an Online Health Community, In: Proceedings of the ACM on Human-Computer Interaction CSCW3(4), doi:10.1145/3434184
  • Claudia López, Rosta Farzan, Yu-Ru Lin (2017): Behind the Myths of Citizen Participation, In: ACM Transactions on Internet Technology 1(18), doi:10.1145/3093892
  • Zhendong Wang, Ning Zou, Bo Xie, Zhimeng Luo, Daqing He, Robin C. Hilsabeck, Alyssa Aguirre (2021): Characterizing Dementia Caregivers’ Information Exchange on Social Media: Exploring an Expert-Machine Co-development Process, In: Lecture Notes in Computer Science, doi:10.1007/978-3-030-71292-1_6
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