abstract

Building Systems to Improve Online Discussion

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Amy X. ZhangAuthors Info & Claims

CSCW '18 Companion: Companion of the 2018 ACM Conference on Computer Supported Cooperative Work and Social Computing

Pages 65 - 68

https://doi.org/10.1145/3272973.3272975

Published: 30 October 2018 Publication History

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Abstract

Little has changed in the design of online discussion systems in the decades they have been available, even as problems involving scale, loss of context, and bad actors mount with broader use. To solve these problems, my research is on building novel online discussion systems that give users direct control over their experiences and information. Specifically, I focus on: 1) summarization tools to make sense of large discussions, 2) annotation tools to situate conversations in the context of what is being discussed, as well as 3) moderation tools to give users more fine-grained control over governance and delivery of messages.

References

[1]

Justin Cranshaw and Aniket Kittur. 2011. The polymath project: lessons from a successful online collaboration in mathematics. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. ACM, 1865--1874.

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[2]

Jane Im, Amy X. Zhang, Christopher J. Schilling, and David Karger. 2018. Deliberation and Resolution on Wikipedia: A Case Study of Requests for Comments. Proc. ACM Hum.-Comput. Interact. 2, CSCW, Article 74 (Nov. 2018), 24 pages.

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[3]

Kaitlin Mahar, Amy X. Zhang, and David Karger. 2018. Squadbox: A Tool to Combat Email Harassment Using Friendsourced Moderation. In Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems (CHI '18). ACM, New York, NY, USA, Article 586, 13 pages.

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Amy X. Zhang, Mark S. Ackerman, and David R. Karger. 2015. Mailing Lists: Why Are They Still Here, What's Wrong With Them, and How Can We Fix Them?. In CHI. ACM, New York, NY, USA, 4009--4018.

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Amy X. Zhang, Joshua Blum, and David Karger. 2016. Opportunities and Challenges Around a Tool for Social and Public Web Activity Tracking. In CSCW. ACM.

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Amy X. Zhang and Justin Cranshaw. 2018. Making Sense of Group Chat through Collaborative Tagging and Summarization. Proc. ACM Hum.-Comput. Interact. 2, CSCW, Article 196 (Nov. 2018), 27 pages.

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Amy X. Zhang, Bryan Culbertson, and Praveen Paritosh. 2017a. Characterizing Online Discussion Using Coarse Discourse Sequences. In ICWSM. AAAI.

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Amy X. Zhang, Michele Igo, Marc Facciotti, and David Karger. 2017b. Using Student Annotated Hashtags and Emojis to Collect Nuanced Affective States. In Learning @ Scale. ACM.

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Amy X. Zhang, Lea Verou, and David Karger. 2017c. Wikum: Bridging Discussion Forums and Wikis Using Recursive Summarization. In CSCW. ACM.

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Sacha Zyto, David Karger, Mark Ackerman, and Sanjoy Mahajan. 2012. Successful classroom deployment of a social document annotation system. In CHI. ACM, 1883--1892.

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Cited By

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SAHAB SHAQBEEN JITO T(2024)Conversational AI as a Facilitator Improves Participant Engagement and Problem-Solving in Online Discussion: Sharing Evidence from Five Cities in AfghanistanIEICE Transactions on Information and Systems10.1587/transinf.2023IHP0014E107.D:4(434-442)Online publication date: 1-Apr-2024
https://doi.org/10.1587/transinf.2023IHP0014
Hao XCukurova M(2023)Exploring the Effects of “AI-Generated” Discussion Summaries on Learners’ Engagement in Online DiscussionsArtificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners, Doctoral Consortium and Blue Sky10.1007/978-3-031-36336-8_24(155-161)Online publication date: 30-Jun-2023
https://doi.org/10.1007/978-3-031-36336-8_24
Nishihara YSunayama WImashiro S(2022)Automatic Evaluation of Discussion Quality Using Topic Relevance and Participants' Performance2022 International Conference on Technologies and Applications of Artificial Intelligence (TAAI)10.1109/TAAI57707.2022.00023(78-82)Online publication date: Dec-2022
https://doi.org/10.1109/TAAI57707.2022.00023

Index Terms

Building Systems to Improve Online Discussion
1. Human-centered computing
  1. Collaborative and social computing
    1. Collaborative and social computing systems and tools

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Information

Published In

CSCW '18 Companion: Companion of the 2018 ACM Conference on Computer Supported Cooperative Work and Social Computing

October 2018

518 pages

ISBN:9781450360180

DOI:10.1145/3272973

General Chairs:
Vanessa Evers
University of Twente
,
Mor Naaman
Cornell Tech
,
Program Chairs:
Geraldine Fitzpatrick
Vienna University of Technology
,
Karrie Karahalios
University of Illinois
,
Airi Lampinen
Stockholm University
,
Andrés Monroy-Hernández
Snap, Inc.

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 30 October 2018

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Conference

CSCW '18

Sponsor:

SIGCHI

CSCW '18: Computer Supported Cooperative Work and Social Computing

November 3 - 7, 2018

NJ, Jersey City, USA

Acceptance Rates

CSCW '18 Companion Paper Acceptance Rate 105 of 385 submissions, 27%;

Overall Acceptance Rate 2,235 of 8,521 submissions, 26%

Upcoming Conference

CSCW '25

Sponsor:
sigchi

Computer-Supported Cooperative Work and Social Computing

October 18 - 22, 2025

Bergen , Norway

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Cited By

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SAHAB SHAQBEEN JITO T(2024)Conversational AI as a Facilitator Improves Participant Engagement and Problem-Solving in Online Discussion: Sharing Evidence from Five Cities in AfghanistanIEICE Transactions on Information and Systems10.1587/transinf.2023IHP0014E107.D:4(434-442)Online publication date: 1-Apr-2024
https://doi.org/10.1587/transinf.2023IHP0014
Hao XCukurova M(2023)Exploring the Effects of “AI-Generated” Discussion Summaries on Learners’ Engagement in Online DiscussionsArtificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners, Doctoral Consortium and Blue Sky10.1007/978-3-031-36336-8_24(155-161)Online publication date: 30-Jun-2023
https://doi.org/10.1007/978-3-031-36336-8_24
Nishihara YSunayama WImashiro S(2022)Automatic Evaluation of Discussion Quality Using Topic Relevance and Participants' Performance2022 International Conference on Technologies and Applications of Artificial Intelligence (TAAI)10.1109/TAAI57707.2022.00023(78-82)Online publication date: Dec-2022
https://doi.org/10.1109/TAAI57707.2022.00023

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Systems for Improving Online Discussion

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