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extended-abstract

An Author Network to Classify Open Online Discussions

Published: 23 August 2017 Publication History

Abstract

Among other modalities, online coordination can notably rely on discussions and forums. However, and notwithstanding increasing research efforts, direct approaches that would help communities and moderators distinguish between gossip and serious debates are still largely missing. We present an innovative methodology to detect the different structures of online discussions in the sub-Reddit Change My View. Applying a clustering algorithm to the author networks, we highlight three distinct classes characterized by alternative behaviors. To better understand the underlying social dynamics, we implement a relational event model that provides evidence for three effects whose influence can affect the structure of online discussions.

References

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C. T. Butts. 2008. 4. A Relational Event Framework for Social Action. Sociological Methodology 38, 1 (Aug. 2008).
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R. Charbey and C. Prieur. 2016. Applying a structural typology on a large dataset of inline personnal networks. In Second European Conference on Social Networks. Paris, France.
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P. Cunningham, M. Harrigan, G. Wu, and D. O'Callaghan. 2013. Characterizing ego-networks using motifs. Network Science 1, 02 (Aug. 2013).
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M. Ester, H.-P. Kriegel, J. Sander, and X. Xu. 1996. A density-based algorithm for discovering clusters in large spatial databases with noise. AAAI Press.
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H. Liang. 2014. The Organizational Principles of Online Political Discussion: A Relational Event Stream Model for Analysis of Web Forum Deliberation. Human Communication Research 40, 4 (Oct. 2014).
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R. Milo, S. Shen-Orr, S. Itzkovitz, N. Kashtan, D. Chklovskii, and U. Alon. 2002. Network Motifs: Simple Building Blocks of Complex Networks. Science 298, 5594 (Oct. 2002).
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C. Tan, V. Niculae, C. Danescu-Niculescu-Mizil, and L. Lee. 2016. Winning Arguments: Interaction Dynamics and Persuasion Strategies in Good-faith Online Discussions. arXiv:1602.01103 {physics} (Feb. 2016).

Cited By

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  • (2018)The Consent of the Crowd Detected in an Open ForumProceedings of the 14th International Symposium on Open Collaboration10.1145/3233391.3233538(1-9)Online publication date: 22-Aug-2018

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cover image ACM Other conferences
OpenSym '17: Proceedings of the 13th International Symposium on Open Collaboration
August 2017
218 pages
ISBN:9781450351874
DOI:10.1145/3125433
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: 23 August 2017

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Author Tags

  1. Online discussions
  2. author networks
  3. classification
  4. graph motif analysis
  5. relational event model

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  • Extended-abstract
  • Research
  • Refereed limited

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OpenSym '17

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Overall Acceptance Rate 108 of 195 submissions, 55%

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  • (2018)The Consent of the Crowd Detected in an Open ForumProceedings of the 14th International Symposium on Open Collaboration10.1145/3233391.3233538(1-9)Online publication date: 22-Aug-2018

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