research-article

A dissimilarity measure for automate moderation in online social networks

Authors:

Sebastián A. Ríos,

Roberto A. Silva,

Felipe AguileraAuthors Info & Claims

WI&C '12: Proceedings of the 4th International Workshop on Web Intelligence & Communities

Article No.: 3, Pages 1 - 9

https://doi.org/10.1145/2189736.2189741

Published: 16 April 2012 Publication History

Abstract

Social networks (SN) have sprouted on the Internet in a very quick way in the last few years. As a large quantity of users starts using them, a lot of social problems are starting to appear, and therefore these sites need to be moderated. However, the data and information volume are so large that it is impossible for a human administrator to handle many of the most common moderation tasks.

Web Usage Mining is very useful for understanding user behavior on Websites, opening an opportunity for finding patterns, which can help with decisions afterwards. One of these techniques is clustering, which uses the notion of distance between two behaviors, and tries to capture it among special characteristics. Dissimilarity measures are constructed using important aspects of Website user behavior, but none commonly used ones, such as Cooley et al. distance [3]; help deal with social networking user behavior for moderation tasks. In this work a new dissimilarity measure is used combining usage and content's semantics while interacting with social network platform objects, such as actions, action content, and classification chosen by the user.

The measure of this work was successfully tested in a virtual community of practice, obtaining an automatic classification for supporting moderation activities.

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Cited By

Bin Zia HRaman ACastro IHassan Anaobi IDe Cristofaro ESastry NTyson G(2022)Toxicity in the Decentralized Web and the Potential for Model SharingProceedings of the ACM on Measurement and Analysis of Computing Systems10.1145/35309016:2(1-25)Online publication date: 6-Jun-2022
https://dl.acm.org/doi/10.1145/3530901
Le Merrer EMorgan BTredan G(2021)Setting the Record Straighter on Shadow BanningIEEE INFOCOM 2021 - IEEE Conference on Computer Communications10.1109/INFOCOM42981.2021.9488792(1-10)Online publication date: 10-May-2021
https://doi.org/10.1109/INFOCOM42981.2021.9488792
Dosono BSemaan BBrewster SFitzpatrick GCox AKostakos V(2019)Moderation Practices as Emotional Labor in Sustaining Online CommunitiesProceedings of the 2019 CHI Conference on Human Factors in Computing Systems10.1145/3290605.3300372(1-13)Online publication date: 2-May-2019
https://dl.acm.org/doi/10.1145/3290605.3300372
Show More Cited By

A dissimilarity measure for automate moderation in online social networks
1. Computing methodologies
  1. Machine learning
    1. Learning paradigms
      1. Unsupervised learning
2. Human-centered computing
  1. Human computer interaction (HCI)
    1. Interaction paradigms

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cover image ACM Other conferences

WI&C '12: Proceedings of the 4th International Workshop on Web Intelligence & Communities

April 2012

62 pages

ISBN:9781450311892

DOI:10.1145/2189736

Conference Chairs:
Rajendra Akerkar
Western Norway Research Institute, Norway
,
Pierre Maret
Hubert Curien Laboratory, Universite Jean Monnet, Saint-Etienne, France
,
Laurent Vercouter
LITIS Laboratory, INSA de Rouen, France

Copyright © 2012 ACM.

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

Publication History

Published: 16 April 2012

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WI&C '12: International Workshop on WEB INTELLIGENCE & COMMUNITIES

April 16, 2012

Lyon, France

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Cited By

Bin Zia HRaman ACastro IHassan Anaobi IDe Cristofaro ESastry NTyson G(2022)Toxicity in the Decentralized Web and the Potential for Model SharingProceedings of the ACM on Measurement and Analysis of Computing Systems10.1145/35309016:2(1-25)Online publication date: 6-Jun-2022
https://dl.acm.org/doi/10.1145/3530901
Le Merrer EMorgan BTredan G(2021)Setting the Record Straighter on Shadow BanningIEEE INFOCOM 2021 - IEEE Conference on Computer Communications10.1109/INFOCOM42981.2021.9488792(1-10)Online publication date: 10-May-2021
https://doi.org/10.1109/INFOCOM42981.2021.9488792
Dosono BSemaan BBrewster SFitzpatrick GCox AKostakos V(2019)Moderation Practices as Emotional Labor in Sustaining Online CommunitiesProceedings of the 2019 CHI Conference on Human Factors in Computing Systems10.1145/3290605.3300372(1-13)Online publication date: 2-May-2019
https://dl.acm.org/doi/10.1145/3290605.3300372
Ríos SAguilera FBustos FOmitola TShadbolt N(2018)Leveraging social network analysis with topic models and the Semantic Web extendedWeb Intelligence and Agent Systems10.5555/2590097.259009911:4(303-314)Online publication date: 16-Dec-2018
https://dl.acm.org/doi/10.5555/2590097.2590099
Dixit VBhatia S(2014)Refinement and evaluation of web session cluster qualityInternational Journal of System Assurance Engineering and Management10.1007/s13198-014-0266-x6:4(373-389)Online publication date: 8-Jun-2014
https://doi.org/10.1007/s13198-014-0266-x

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