Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
skip to main content
10.1145/2492517.2492646acmconferencesArticle/Chapter ViewAbstractPublication PageskddConference Proceedingsconference-collections
research-article

An exploration of discussion threads in social news sites: a case study of the Reddit community

Published: 25 August 2013 Publication History
  • Get Citation Alerts
  • Abstract

    Social news and content aggregation Web sites have become massive repositories of valuable knowledge on a diverse range of topics. Millions of Web-users are able to leverage these platforms to submit, view and discuss nearly anything. The users themselves exclusively curate the content with an intricate system of submissions, voting and discussion. Furthermore, the data on social news Web sites is extremely well organized by its user-base, which opens the door for opportunities to leverage this data for other purposes just like Wikipedia data has been used for many other purposes. In this paper we study a popular social news Web site called Reddit. Our investigation looks at the dynamics of its discussion threads, and asks two main questions: (1) to what extent do discussion threads resemble a topical hierarchy? and (2) Can discussion threads be used to enhance Web search? We show interesting results for these questions on a very large snapshot several sub-communities of the Reddit Web site. Finally, we discuss the implications of these results and suggest ways by which social news Web site's can be used to perform other tasks.

    References

    [1]
    J. Leskovec, L. Backstrom, and J. Kleinberg, "Meme-tracking and the dynamics of the news cycle," in SIGKDD. ACM Press, Jun. 2009, p. 497.
    [2]
    D. M. Blei, A. Y. Ng, and M. I. Jordan, "Latent dirichlet allocation," The Journal of Machine Learning Research, vol. 3, pp. 993--1022, Mar. 2003.
    [3]
    D. M. Blei, T. L. Griffiths, and M. I. Jordan, "The nested chinese restaurant process and bayesian nonparametric inference of topic hierarchies," Journal of the ACM, vol. 57, no. 2, pp. 1--30, Jan. 2010.
    [4]
    V. Gómez, A. Kaltenbrunner, and V. López, "Statistical analysis of the social network and discussion threads in slashdot," in WWW. ACM Press, Apr. 2008, p. 645.
    [5]
    G. Mishne and N. Glance, "Leave a Reply: An Analysis of Weblog Comments," in WWE, 2006.
    [6]
    D. Laniado, R. Tasso, Y. Volkovich, and A. Kaltenbrunner, "When the Wikipedians talk: Network and tree structure of Wikipedia discussion pages," in ICWSM, 2011, pp. 177--184.
    [7]
    A. Kaltenbrunner, V. Gómez, A. Moghnieh, R. Meza, J. Blat, and V. López, "Homogeneous temporal activity patterns in a large online communication space," International Journal on WWW/INTERNET, vol. 6, no. 1, Aug. 2008.
    [8]
    H. T. Welser, D. Cosley, G. Kossinets, A. Lin, F. Dokshin, G. Gay, and M. Smith, "Finding social roles in Wikipedia," in iConference. ACM Press, Feb. 2011, pp. 122--129.
    [9]
    A. Kittur and R. E. Kraut, "Harnessing the wisdom of crowds in wikipedia," in CSCW. ACM Press, Nov. 2008, p. 37.
    [10]
    J. Schneider, A. Passant, and J. G. Breslin, "Understanding and improving Wikipedia article discussion spaces," in SAC. ACM Press, Mar. 2011, p. 808.

    Cited By

    View all
    • (2024)Deep Learning for Reddit Text Classification: TextCNN and TextRNN Approaches2024 4th Interdisciplinary Conference on Electrics and Computer (INTCEC)10.1109/INTCEC61833.2024.10603240(1-7)Online publication date: 11-Jun-2024
    • (2024)Content and interaction-based mapping of Reddit posts related to information securityJournal of Computational Social Science10.1007/s42001-024-00269-4Online publication date: 13-Apr-2024
    • (2023)Büyük Veriye Dayalı Yapılan Kadın Araştırmalarının Genel Bir DeğerlendirmesiA General Assessment of Big Data-Based Women's ResearchSakarya Üniversitesi Kadın Araştırmaları Dergisi10.61158/saukad.13319582:2(90-105)Online publication date: 30-Dec-2023
    • Show More Cited By

    Recommendations

    Comments

    Information & Contributors

    Information

    Published In

    cover image ACM Conferences
    ASONAM '13: Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining
    August 2013
    1558 pages
    ISBN:9781450322409
    DOI:10.1145/2492517
    Permission to make digital or hard copies of all or part 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 components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

    Sponsors

    Publisher

    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 25 August 2013

    Permissions

    Request permissions for this article.

    Check for updates

    Qualifiers

    • Research-article

    Funding Sources

    Conference

    ASONAM '13
    Sponsor:
    ASONAM '13: Advances in Social Networks Analysis and Mining 2013
    August 25 - 28, 2013
    Ontario, Niagara, Canada

    Acceptance Rates

    Overall Acceptance Rate 116 of 549 submissions, 21%

    Upcoming Conference

    KDD '24

    Contributors

    Other Metrics

    Bibliometrics & Citations

    Bibliometrics

    Article Metrics

    • Downloads (Last 12 months)227
    • Downloads (Last 6 weeks)20
    Reflects downloads up to 09 Aug 2024

    Other Metrics

    Citations

    Cited By

    View all
    • (2024)Deep Learning for Reddit Text Classification: TextCNN and TextRNN Approaches2024 4th Interdisciplinary Conference on Electrics and Computer (INTCEC)10.1109/INTCEC61833.2024.10603240(1-7)Online publication date: 11-Jun-2024
    • (2024)Content and interaction-based mapping of Reddit posts related to information securityJournal of Computational Social Science10.1007/s42001-024-00269-4Online publication date: 13-Apr-2024
    • (2023)Büyük Veriye Dayalı Yapılan Kadın Araştırmalarının Genel Bir DeğerlendirmesiA General Assessment of Big Data-Based Women's ResearchSakarya Üniversitesi Kadın Araştırmaları Dergisi10.61158/saukad.13319582:2(90-105)Online publication date: 30-Dec-2023
    • (2023)Depression Prediction from Combined Reddit and Twitter Data using Machine Learning2023 2nd International Conference for Innovation in Technology (INOCON)10.1109/INOCON57975.2023.10101174(1-5)Online publication date: 3-Mar-2023
    • (2023)Unveiling Conversational Patterns: Intent Classification and Clustering in Reddit’s Firearm Trade Community2023 IEEE International Conference on Big Data (BigData)10.1109/BigData59044.2023.10386227(4090-4099)Online publication date: 15-Dec-2023
    • (2023)Citizen building scientist? The opportunity and challenge of citizen involvement in building retrofitsJournal of Building Engineering10.1016/j.jobe.2023.10762978(107629)Online publication date: Nov-2023
    • (2022)Capturing Diverse and Precise Reactions to a Comment with User-Generated LabelsProceedings of the ACM Web Conference 202210.1145/3485447.3512243(1731-1740)Online publication date: 25-Apr-2022
    • (2022)This Must Be the Place: Predicting Engagement of Online Communities in a Large-scale Distributed CampaignProceedings of the ACM Web Conference 202210.1145/3485447.3512238(1673-1684)Online publication date: 25-Apr-2022
    • (2022)TrollMagnifier: Detecting State-Sponsored Troll Accounts on Reddit2022 IEEE Symposium on Security and Privacy (SP)10.1109/SP46214.2022.9833706(2161-2175)Online publication date: May-2022
    • (2022)Multidimensional tie strength and economic developmentScientific Reports10.1038/s41598-022-26245-412:1Online publication date: 21-Dec-2022
    • Show More Cited By

    View Options

    Get Access

    Login options

    View options

    PDF

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader

    Media

    Figures

    Other

    Tables

    Share

    Share

    Share this Publication link

    Share on social media