research-article

Understanding the characteristics of online commenting

Authors:

Jong Gun Lee,

Kave SalamatianAuthors Info & Claims

CoNEXT '08: Proceedings of the 2008 ACM CoNEXT Conference

Article No.: 59, Pages 1 - 2

https://doi.org/10.1145/1544012.1544071

Published: 09 December 2008 Publication History

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Abstract

In this poster, we investigate the characteristics of online commenting behaviors which can influence on the popularity of various online contents, such as user created contents. To understand the behaviors, we make three dataset, which are crawled from two online discussion forums and one online community. We, first, analyze our dataset in aspects of thread lifetime and the number of comments per thread. Then we cluster and classify threads with two characteristics of the lifetime and the number of comments. Finally we study the characteristic of the number of comments per user.

References

[1]

A. Kaltenbrunner, V. Gómez, A. Moghnieh, R. Meza, J. Blat, and V. López. Homogeneous temporal activity patterns in a large online communication space. In Workshop on Social Aspects of the Web, 2007.

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[2]

G. Mishne. Leave a reply: An analysis of weblog comments. In Third annual workshop on the Weblogging ecosystem, 2006.

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Xia J(2012)Let us take a Yale open course: a Chinese view of open educational resources provided by institutions in the WestJournal of Computer Assisted Learning10.1111/j.1365-2729.2012.00477.x29:2(122-137)Online publication date: 16-Mar-2012
https://doi.org/10.1111/j.1365-2729.2012.00477.x
Tsagkias MWeerkamp Wde Rijke M(2010)News commentsProceedings of the 32nd European conference on Advances in Information Retrieval10.1007/978-3-642-12275-0_19(191-203)Online publication date: 28-Mar-2010
https://dl.acm.org/doi/10.1007/978-3-642-12275-0_19
Tallent NMellor-Crummey JAdhianto LFagan MKrentel MPinfold W(2009)Diagnosing performance bottlenecks in emerging petascale applicationsProceedings of the Conference on High Performance Computing Networking, Storage and Analysis10.1145/1654059.1654111(1-11)Online publication date: 14-Nov-2009
https://dl.acm.org/doi/10.1145/1654059.1654111

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Understanding the characteristics of online commenting

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Published In

CoNEXT '08: Proceedings of the 2008 ACM CoNEXT Conference

December 2008

526 pages

ISBN:9781605582108

DOI:10.1145/1544012

Conference Chairs:
Arturo Azcorra
IMDEA Networks and University Carlos III of Madrid, Spain
,
Gustavo de Veciana
University Texas at Austin
,
Program Chairs:
Keith W. Ross
Polytechnic University
,
Leandros Tassiulas
University of Thessaly, Greece

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 ACM 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]

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Association for Computing Machinery

New York, NY, United States

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Published: 09 December 2008

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Xia J(2012)Let us take a Yale open course: a Chinese view of open educational resources provided by institutions in the WestJournal of Computer Assisted Learning10.1111/j.1365-2729.2012.00477.x29:2(122-137)Online publication date: 16-Mar-2012
https://doi.org/10.1111/j.1365-2729.2012.00477.x
Tsagkias MWeerkamp Wde Rijke M(2010)News commentsProceedings of the 32nd European conference on Advances in Information Retrieval10.1007/978-3-642-12275-0_19(191-203)Online publication date: 28-Mar-2010
https://dl.acm.org/doi/10.1007/978-3-642-12275-0_19
Tallent NMellor-Crummey JAdhianto LFagan MKrentel MPinfold W(2009)Diagnosing performance bottlenecks in emerging petascale applicationsProceedings of the Conference on High Performance Computing Networking, Storage and Analysis10.1145/1654059.1654111(1-11)Online publication date: 14-Nov-2009
https://dl.acm.org/doi/10.1145/1654059.1654111

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Empirical research on distribution characteristics of online news comment

Analytics on online discussion and commenting services

Anonymity and Online Commenting: The Broken Windows Effect and the End of Drive-by Commenting

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