short-paper

Professional credibility: authority on the web

Authors:

Jack G. Conrad,

Jochen L. Leidner,

Frank SchilderAuthors Info & Claims

WICOW '08: Proceedings of the 2nd ACM workshop on Information credibility on the web

Pages 85 - 88

https://doi.org/10.1145/1458527.1458548

Published: 30 October 2008 Publication History

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Abstract

Opinion mining techniques add another dimension to search and summarization technology by actually identifying the author's opinion about a subject, rather than simply identifying the subject itself. Given the dramatic explosion of the blogosphere, both in terms of its data and its participants, it is becoming increasingly important to be able to measure the authority of these participants, especially when professional application areas are involved. After having performed preliminary investigations into sentiment analysis in the legal blogosphere, we are beginning a new direction of work which addresses representing, measuring, and monitoring the degree of authority and thus presumed credibility associated with various types of blog participants. In particular, we explore the utility of authority-detection layered atop opinion mining in the legal and financial domains.

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Cited By

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Elsantil YEid RBedair K(2022)The Impact of Credibility Attributes on Consumer Intention to Adopt Information on Social Networking SitesInternational Journal of Online Marketing10.4018/IJOM.29939312:1(1-22)Online publication date: 1-Jan-2022
https://doi.org/10.4018/IJOM.299393
Everett H(2018)Is good enough good enough?Communication Design Quarterly10.1145/3282665.32826706:2(41-56)Online publication date: 1-Oct-2018
https://dl.acm.org/doi/10.1145/3282665.3282670
(2014)Mining opinion components from unstructured reviewsJournal of King Saud University - Computer and Information Sciences10.1016/j.jksuci.2014.03.00926:3(258-275)Online publication date: 1-Sep-2014
https://dl.acm.org/doi/10.1016/j.jksuci.2014.03.009
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Index Terms

Professional credibility: authority on the web
1. Computing methodologies
  1. Artificial intelligence
    1. Natural language processing
      1. Language resources
2. Information systems
  1. Information retrieval
  2. Information storage systems

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Published In

WICOW '08: Proceedings of the 2nd ACM workshop on Information credibility on the web

October 2008

100 pages

ISBN:9781605582597

DOI:10.1145/1458527

General Chairs:
Katsumi Tanaka
Kyoto University, Japan
,
Takashi Matsuyama
Kyoto University, Japan
,
Ee-Peng Lim
Singapore Management University, Singapore
,
Program Chair:
Adam Jatowt
Kyoto University, Japan

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: 30 October 2008

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CIKM08

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CIKM08: Conference on Information and Knowledge Management

October 30, 2008

California, Napa Valley, USA

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Overall Acceptance Rate 9 of 19 submissions, 47%

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Elsantil YEid RBedair K(2022)The Impact of Credibility Attributes on Consumer Intention to Adopt Information on Social Networking SitesInternational Journal of Online Marketing10.4018/IJOM.29939312:1(1-22)Online publication date: 1-Jan-2022
https://doi.org/10.4018/IJOM.299393
Everett H(2018)Is good enough good enough?Communication Design Quarterly10.1145/3282665.32826706:2(41-56)Online publication date: 1-Oct-2018
https://dl.acm.org/doi/10.1145/3282665.3282670
(2014)Mining opinion components from unstructured reviewsJournal of King Saud University - Computer and Information Sciences10.1016/j.jksuci.2014.03.00926:3(258-275)Online publication date: 1-Sep-2014
https://dl.acm.org/doi/10.1016/j.jksuci.2014.03.009
Barbagallo DCappiello CFrancalanci CMatera MPicozzi M(2012)Informing observersProceedings of the 2012 Joint EDBT/ICDT Workshops10.1145/2320765.2320776(1-8)Online publication date: 30-Mar-2012
https://dl.acm.org/doi/10.1145/2320765.2320776
Carr CStefaniak C(2012)Sent from My iPhone: The Medium and Message as Cues of Sender Professionalism in Mobile TelephonyJournal of Applied Communication Research10.1080/00909882.2012.71270740:4(403-424)Online publication date: Nov-2012
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Al‐Khalifa HAl‐Eidan R(2011)An experimental system for measuring the credibility of news content in TwitterInternational Journal of Web Information Systems10.1108/174400811111417727:2(130-151)Online publication date: 21-Jun-2011
https://doi.org/10.1108/17440081111141772
Rubin V(2011)On deception and deception detection: Content analysis of computer-mediated stated beliefsProceedings of the American Society for Information Science and Technology10.1002/meet.1450470112447:1(1-10)Online publication date: 3-Feb-2011
https://doi.org/10.1002/meet.14504701124
Rubin VMarshall CToms EGrove A(2010)On deception and deception detectionProceedings of the 73rd ASIS&T Annual Meeting on Navigating Streams in an Information Ecosystem - Volume 4710.5555/1920331.1920377(1-10)Online publication date: 22-Oct-2010
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Al-Eidan RAl-Khalifa HAl-Salman AKotsis GTaniar DPardede E(2009)Towards the measurement of Arabic Weblogs credibility automaticallyProceedings of the 11th International Conference on Information Integration and Web-based Applications & Services10.1145/1806338.1806455(618-622)Online publication date: 14-Dec-2009
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Conrad JLeidner JSchilder FKondadadi R(2009)Query-based opinion summarization for legal blog entriesProceedings of the 12th International Conference on Artificial Intelligence and Law10.1145/1568234.1568253(167-176)Online publication date: 8-Jun-2009
https://dl.acm.org/doi/10.1145/1568234.1568253

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BlogMiner: Web Blog Mining Application for Classification of Movie Reviews

Credibility in Context: An Analysis of Feature Distributions in Twitter

Credibility ranking of tweets during high impact events

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