short-paper

A "quick and dirty" website data quality indicator

Authors:

Irit Askira Gelman,

Anthony L. BarlettaAuthors Info & Claims

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

Pages 43 - 46

https://doi.org/10.1145/1458527.1458538

Published: 30 October 2008 Publication History

Abstract

This short paper outlines a research study in progress, which is motivated by the perception that the spelling error rate of a document can serve as a rudimentary proxy for the degree of quality control exercised in its creation, and, subsequently, indicate its quality. One objective of this research is to validate this understanding. Ultimately, the goal of this research is to take advantage of such an association. In particular, we propose a simple, "quick and dirty" metric for assisting in the evaluation of the quality of websites. This metric utilizes the reported hit counts of search engine queries on a pre-determined set of commonly misspelled words.

References

[1]

Amento, B., Terveen, L., and Hill, W. 2000. Does "Authority" Mean Quality? Predicting Expert Quality Ratings of Web Documents' in Proceedings of the Twenty-Third Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2000.

Digital Library

[2]

Bagrow, J. P., Rozenfeld, H. D., Bollt, E. M., and ben-Avraham, D. 2004. How famous is a scientist?--Famous to those who know us, Europhysics Letters, Vol. 67, No. 4, 2004, pp. 511--516.

[3]

Cappielo, C. and Pernici, B. 2006. A Methodology for Information Quality Management in Self-Healing Web Services, 11th International Conference on Information Quality (ICIQ-06), MIT, Cambridge MA, 2006.

[4]

Cilibrasi, R. L., and Vitányi, P. M. B. 2007. The Google Similarity Index, IEEE Transactions on Knowledge and Data Engineering, Vol. 19, No. 3, 2007, pp. 370--383.

Digital Library

[5]

Eppler, M. J., Algesheimer, R., and Dimpfel, M. 2003. Quality Criteria of Content-driven Websites and their Influence on Customer Satisfaction and Loyalty: An Empirical Test of an Information Quality Framework. 8th International Conference on Information Quality (ICIQ-03), MIT, Cambridge MA, 2003.

[6]

Krebs, V. 2003. What's your Google Number? International Association for Human Resource Information Management Journal, Vol. VII, No. 2, 2003, pp. 40--42.

[7]

Matsuo, Y., Tomobe, H., and Nishimura, T. 2007. Robust Estimation of Google Counts for Social Network Extraction. Proceedings of the Twenty-Second AAAI Conference on Artificial Intelligence 2007, pp. 1395--1401.

Digital Library

[8]

Pion, S., and Hamel, L. 2007. The Internet Democracy: A Predictive Model Based on Web Text Mining, International Conference on Data Mining, 2007, pp. 292--300.

[9]

Pun, J. C. C., and Lochovsky, F. H. 2004. Ranking search results by web quality dimensions, Journal of Web Engineering, Vol. 3, No. 3-4, 2004, pp. 216--235.

Digital Library

[10]

Pun, J. C. C., and Lochovsky, F. H. 2005. Finding High-Quality Web Pages Using Cohesiveness. 10th International Conference on Information Quality (ICIQ-05), MIT, Cambridge MA, 2005.

[11]

Schrock, Kathy. 2008. Critical Evaluation of a Web Site: Secondary School Level. Kathy Schrock's Guide for Educators, DiscoverySchool.com. http://school.discovery.com/schrockguide/evalhigh.html {June 5, 2008}

[12]

Simkin, M. V., and Roychowdhury V. P. 2006. "Theory of Aces: Fame by Chance or Merit?"The Journal of Mathematical Sociology, Vol. 30, No. 1, 2006, pp. 33--41.

[13]

Stvilia, B., Twidale, M. B., Smith, L. C., and Les Gasser 2005. Assessing Information Quality of a Community-Based Encyclopedia. 10th International Conference on Information Quality (ICIQ-05), MIT, Cambridge MA, 2005.

[14]

Sweetland, J. H. 2000. Reviewing the World Wide Web-Theory Versus Reality, Library Trends, Spring 2000.

[15]

Ury, Connie and Lori Mardis. 2008. Evaluating Websites: PART of the Research Process. http://www.nwmissouri.edu/library/courses/evaluation/edeval.htm {5 June 2008}

[16]

Virginia Tech 2008. Evaluating Internet Information, http://www.lib.vt.edu/help/instruct/evaluate/evaluating.html {June 5, 2008}.

[17]

R. Y. Wang and D. M. Strong 1996. Beyond Accuracy: What Data Quality Means to Data Consumers, Journal of Management Information Systems 12(4) (1996).

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Cited By

Cai TLi FZhan JWang Z(2022)Does the crying baby always get the milk? An analysis of government responses for online requestsChinese Sociological Review10.1080/21620555.2022.210366755:1(96-125)Online publication date: 5-Aug-2022
https://doi.org/10.1080/21620555.2022.2103667
Rello LBaeza-Yates RLlisterri J(2018)A resource of errors written in Spanish by people with dyslexia and its linguistic, phonetic and visual analysisLanguage Resources and Evaluation10.1007/s10579-015-9329-051:2(379-408)Online publication date: 17-Dec-2018
https://dl.acm.org/doi/10.1007/s10579-015-9329-0
Ahlers DFerres LRossi GAlmeida VHerder E(2014)Spatio-temporal quality issues for local searchProceedings of the 25th ACM conference on Hypertext and social media10.1145/2631775.2631792(297-299)Online publication date: 1-Sep-2014
https://dl.acm.org/doi/10.1145/2631775.2631792
Show More Cited By

Index Terms

A "quick and dirty" website data quality indicator
1. Information systems
  1. Information retrieval
    1. Retrieval tasks and goals
      1. Document filtering
      2. Information extraction

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Published In

cover image ACM Conferences

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

Copyright © 2008 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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Publication History

Published: 30 October 2008

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Author Tags

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Short-paper

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CIKM08

Sponsor:

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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Cited By

Cai TLi FZhan JWang Z(2022)Does the crying baby always get the milk? An analysis of government responses for online requestsChinese Sociological Review10.1080/21620555.2022.210366755:1(96-125)Online publication date: 5-Aug-2022
https://doi.org/10.1080/21620555.2022.2103667
Rello LBaeza-Yates RLlisterri J(2018)A resource of errors written in Spanish by people with dyslexia and its linguistic, phonetic and visual analysisLanguage Resources and Evaluation10.1007/s10579-015-9329-051:2(379-408)Online publication date: 17-Dec-2018
https://dl.acm.org/doi/10.1007/s10579-015-9329-0
Ahlers DFerres LRossi GAlmeida VHerder E(2014)Spatio-temporal quality issues for local searchProceedings of the 25th ACM conference on Hypertext and social media10.1145/2631775.2631792(297-299)Online publication date: 1-Sep-2014
https://dl.acm.org/doi/10.1145/2631775.2631792
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
Rello LBaeza-Yates RMille AGandon FMisselis JRabinovich MStaab S(2012)Lexical quality as a proxy for web text understandabilityProceedings of the 21st International Conference on World Wide Web10.1145/2187980.2188142(591-592)Online publication date: 16-Apr-2012
https://dl.acm.org/doi/10.1145/2187980.2188142
Baeza-Yates RRello LCastillo CGyongyi ZJatowt ATanaka K(2012)On measuring the lexical quality of the webProceedings of the 2nd Joint WICOW/AIRWeb Workshop on Web Quality10.1145/2184305.2184307(1-6)Online publication date: 16-Apr-2012
https://dl.acm.org/doi/10.1145/2184305.2184307
Rello LBaeza-Yates R(2012)Lexical quality as a measure for textual web accessibilityProceedings of the 13th international conference on Computers Helping People with Special Needs - Volume Part I10.1007/978-3-642-31522-0_61(404-408)Online publication date: 11-Jul-2012
https://dl.acm.org/doi/10.1007/978-3-642-31522-0_61
Baeza-Yates RRello LFerres LVigo MAbascal J(2011)Estimating dyslexia in the webProceedings of the International Cross-Disciplinary Conference on Web Accessibility10.1145/1969289.1969300(1-4)Online publication date: 28-Mar-2011
https://dl.acm.org/doi/10.1145/1969289.1969300
Magdy AWanas NCortizo JCarrero FCantador ITroyano JRosso P(2010)Web-based statistical fact checking of textual documentsProceedings of the 2nd international workshop on Search and mining user-generated contents10.1145/1871985.1872002(103-110)Online publication date: 30-Oct-2010
https://dl.acm.org/doi/10.1145/1871985.1872002

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