Assessing trustworthiness in collaborative environments

Jeffrey Segall; Michael Jay Mayhew; Michael Atighetchi; Rachel Greenstadt

doi:10.1145/2459976.2460035

Assessing trustworthiness in collaborative environments

Jeffrey Segall, Michael Jay Mayhew, Michael Atighetchi, Rachel Greenstadt

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

Collaborative environments, specifically those concerning in- formation creation and exchange, increasingly demand notions of trust and accountability. In the absence of explicit authority, the quality of information is often unknown. Using Wikipedia edit sequences as a use case scenario, we detail experiments in the determination of community-based user and document trust. Our results show success in answering the first of many research questions: Provided a user's edit history, is a given edit to a document positively contributing to its content? We detail how the ability to answer this question provides a preliminary framework towards a better model for collaborative trust and discuss subsequent areas of research necessary to broaden its utility and scope.

Original language	English (US)
Title of host publication	8th Annual Cyber Security and Information Intelligence Research Workshop
Subtitle of host publication	Federal Cyber Security R and D Program Thrusts, CSIIRW 2013
DOIs	https://doi.org/10.1145/2459976.2460035
State	Published - 2013
Event	8th Annual Cyber Security and Information Intelligence Research Workshop: Federal Cyber Security R and D Program Thrusts, CSIIRW 2013 - Oak Ridge, TN, United States Duration: Jan 8 2013 → Jan 10 2013

Publication series

Name	ACM International Conference Proceeding Series

Conference

Conference	8th Annual Cyber Security and Information Intelligence Research Workshop: Federal Cyber Security R and D Program Thrusts, CSIIRW 2013
Country/Territory	United States
City	Oak Ridge, TN
Period	1/8/13 → 1/10/13

Keywords

Collaborative trust
Cyber analytics
Wikipedia

ASJC Scopus subject areas

Software
Human-Computer Interaction
Computer Vision and Pattern Recognition
Computer Networks and Communications

Access to Document

10.1145/2459976.2460035

Cite this

Assessing trustworthiness in collaborative environments. / Segall, Jeffrey; Mayhew, Michael Jay; Atighetchi, Michael et al.
8th Annual Cyber Security and Information Intelligence Research Workshop: Federal Cyber Security R and D Program Thrusts, CSIIRW 2013. 2013. 52 (ACM International Conference Proceeding Series).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Segall, J, Mayhew, MJ, Atighetchi, M & Greenstadt, R 2013, Assessing trustworthiness in collaborative environments. in 8th Annual Cyber Security and Information Intelligence Research Workshop: Federal Cyber Security R and D Program Thrusts, CSIIRW 2013., 52, ACM International Conference Proceeding Series, 8th Annual Cyber Security and Information Intelligence Research Workshop: Federal Cyber Security R and D Program Thrusts, CSIIRW 2013, Oak Ridge, TN, United States, 1/8/13. https://doi.org/10.1145/2459976.2460035

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abstract = "Collaborative environments, specifically those concerning in- formation creation and exchange, increasingly demand notions of trust and accountability. In the absence of explicit authority, the quality of information is often unknown. Using Wikipedia edit sequences as a use case scenario, we detail experiments in the determination of community-based user and document trust. Our results show success in answering the first of many research questions: Provided a user's edit history, is a given edit to a document positively contributing to its content? We detail how the ability to answer this question provides a preliminary framework towards a better model for collaborative trust and discuss subsequent areas of research necessary to broaden its utility and scope.",

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AU - Mayhew, Michael Jay

AU - Atighetchi, Michael

AU - Greenstadt, Rachel

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AB - Collaborative environments, specifically those concerning in- formation creation and exchange, increasingly demand notions of trust and accountability. In the absence of explicit authority, the quality of information is often unknown. Using Wikipedia edit sequences as a use case scenario, we detail experiments in the determination of community-based user and document trust. Our results show success in answering the first of many research questions: Provided a user's edit history, is a given edit to a document positively contributing to its content? We detail how the ability to answer this question provides a preliminary framework towards a better model for collaborative trust and discuss subsequent areas of research necessary to broaden its utility and scope.

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Assessing trustworthiness in collaborative environments

Abstract

Publication series

Conference

Keywords

ASJC Scopus subject areas

Access to Document

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