Abstract
The World Wide Web (WWW) has become one of the fastest growing electronic information sources. Meanwhile new facilities for producing web pages such as Blogs make this issue more significant because Blogs have simple content management tools enabling non-experts to build easily updatable web diaries or online journals. On the other hand despite a decade of active research, information quality lacks comprehensive methodology for its assessment and improvement. Especially there is not any framework for measuring information quality on the Blogs yet. This paper establishes a survey on Iranian Blog as our case study presents results of the survey, prioritizes information quality criteria by allocating priority coefficient to all the criteria as an important prerequisite for measuring information quality in the Blogs. Also results of the research by gap analysis shows there is a solid consensus between Bloggers and visitors about the priorities of information quality criteria in the Blogs.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Sifry, D.: The State of the Live Web (2007)
Kargar, M.J., Ramli, A.A., Ibrahim, H., Noor, S.B.: Assessing Quality of Information on the Web Towards a Comprehensive Framework. In: 14th IEEE International conference on Internet Communication Technology (ICT/MICC), Malaysia, May 2007. IEEE, Los Alamitos (2007)
Ricigliano, L.: Criteria for Evaluating Information on the Web, vol. 2007. Collins Memorial Library (2006)
Tyburski, G.: Criteria for Quality in Information, vol. 2007 (2006)
Wang, R.Y., Strong, D.M.: Beyond accuracy: what data quality means to data consumers. Journal of Management Information Systems 12, 5–34 (1996)
Naumann, F., Rolker, C.: Assessment methods for information quality criteria. In: Proceedings of 5th International Conference on Information Quality, pp. 148–162 (2000)
Lee, Y.W., Strong, D.M., Kahn, B.K., Wang, R.Y.: AIMQ: a methodology for information quality assessment. Information & Management 40, 133–146 (2002)
Jarke, M., Vassiliou, Y.: Data warehouse quality design: A review of the DWQ project. In: Proceeding of the International Conference on Information Quality, Cambridge, MA (1997)
Knight, S.a., Burn, J.: Developing a Framework for Assessing Information Quality on the World Wide Web. Informing Science Journal 8, 159–172 (2005)
Leung, H.K.N.: Quality metrics for intranet applications. Information & Management 38, 137–152 (2001)
Stvilia, B., Twidale, M.B., Gasser, L., Smith, L.C.: Smith Information quality discussions in Wikipedia. In: Proceeding of the International Conference on Knowledge Management (ICKM 2005), pp. 1–20 (2005)
Stvilia, B., Twidale, M.B., Smith, L.C., Gasser, L.: Assessing information quality of a community-based encyclopedia. In: Proceedings of the International Conference on Information Quality (ICIQ), Cambridge, MA, pp. 442–454 (2005)
Zhang, Y., Zhu, H., Greenwood, S.: Empirical Validation of Website Timeliness Measures. In: Proceedings of the 29th Annual International Computer Software and Applications Conference (COMPSAC 2005), vol. 1, pp. 313–318. IEEE, Los Alamitos (2005)
Zhang, Y., Zhu, H., Huo, Q., Greenwood, S.: Measurement of Timeliness of Web-based Information Systems. In: Proceedings of the 6th World Multi-Conference on Systemic, Cybernetics and Informatics (SCI 2002) (2002)
Zhu, X., Gauch, S.: Incorporating quality metrics in centralized/distributed information retrieval on the World Wide Web. In: Proceedings of the 23rd annual international ACM SIGIR conference on Research and development in information retrieval, pp. 288–295. ACM, Athens (2000)
Zhu, X., Gauch, S., Gerhard, L., Kral, N., Pretschner, A.: Ontology-based web site mapping for information exploration. In: Proceedings of the eighth international conference on Information and knowledge management, pp. 188–194. ACM Press, New York (1999)
Dhyani, D., Ng, W.K., Bhowmick, S.S.: A Survey of Web Metrics. ACM Computing Surveys (CSUR) 34, 469–503 (2002)
Recker, M., Pitkow, J.: Predicting document access in large multimedia repositories. ACM Transactions on Computer-Human Interaction (TOCHI) 3, 352–375 (1996)
Moody, D.L., Sindre, G., Brasethvik, T., Solvberg, A.: Evaluating the Quality of Information Models: Empirical Testing of a Conceptual Model Quality Framework. In: 25th IEEE International Conference on Software Engineering (ICSE 2003), Portland, Oregon (2003)
Lindland, O.I., Sindre, G., Solvberg, A.: Understanding Quality in Conceptual Modeling. IEEE Software 3 (1994)
Herring, S.C., Scheidt, L.A., Bonus, S., Wright, E.: Bridging the Gap: A Genre Analysis of Weblogs. In: Proceedings of the 37th Annual Hawaii International Conference on System Sciences (HICSS 2004), vol. 4, pp. 40101–40102. IEEE Computer Society, Los Alamitos (2004)
Kumar, R., Novak, J., Raghavan, P., Tomkins, A.: On the bursty evolution of blogspace. In: Proceedings of the 12th international conference on World Wide Web, pp. 568–576. ACM Press, New York (2003)
Mishne, G., Glance, N.: Leave a reply: An analysis of weblog comments. In: Third annual workshop on the Weblogging ecosystem, Edinburgh, Scotland (2006)
Shanks, G., Corbitt, B.: Understanding data quality: Social and cultural aspects. In: Proceedings of the 10th Australasian Conference on Information Systems (1999)
Katerattanakul, P., Siau, K.: Measuring information quality of web sites: Development of an instrument. In: Proceedings of the 20th international conference on Information Systems, Charlotte, North Carolina, United States, pp. 279–285 (1999)
Shankar, G., Watts, S.: A relevant, believable approach for data quality assessment. In: Proceedings of 8th International Conference on Information Quality, pp. 178–189 (2003)
Punter, T., Ciolkowski, M., Freimut, B., John, I.: Conducting on-line surveys in software engineering. In: Proceedings Int. Symp. on Empirical Software Eng. 2003, pp. 80–88. IEEE Computer Society, Los Alamitos (2003)
Seaman, C.: Qualitative Methods in Empirical Studies of Software Engineering. Transactions on Software Engineering, 557–572 (1999)
Bartlett, J.E., Kotrlik, J.W., Higgins, C.C.: Organizational research: Determining appropriate sample size in survey research Information Technology, Learning, and Performance Journal 19 (2001)
Krejcie, R.V., Morgan, D.W.: Determining Sample Size for Research Activities. Educational and Psychological Measurement 30, 607–610 (1970)
Jennex, M.E., Smolnik, S., Croasdell, D.: Towards Defining Knowledge Management Success. In: Proceedings of the 40th Hawaii International Conference on System Sciences. IEEE Computer Society, Los Alamitos (2007)
Sharma, S., Singh, D., Agrawal, D.P.: Trust In Electronic Markets- Customer’s Perspective 8 (2007)
Moore, G.C., Benbasat, I.: Development of an Instrument to Measure the Perceptions of Adopting an IT Innovation. Information Systems Research 2, 192–222 (1991)
Laukkanean, E., Halonen, P., Viinamaki, H.: Stability and internal consistency of the offer self-image questionnaire: A study of Finnish students. Journal of Youth and Adolescence 28, 71–77 (1999)
Staehr, L., Martin, M., Byrne, G.: Computer Attitudes and Computing Career Perceptions of First Year Computing Students. In: Proceedings of Informing Science 2001 – Bridging Diverse Disciplines, Krakow, Poland, pp. 502–509 (2001)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2008 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Kargar, M.J., Rahman Ramli, A., Ibrahim, H., Azimzadeh, F. (2008). Formulating Priority Coefficients for Information Quality Criteria on the Blog. In: Sarbazi-Azad, H., Parhami, B., Miremadi, SG., Hessabi, S. (eds) Advances in Computer Science and Engineering. CSICC 2008. Communications in Computer and Information Science, vol 6. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-89985-3_49
Download citation
DOI: https://doi.org/10.1007/978-3-540-89985-3_49
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-89984-6
Online ISBN: 978-3-540-89985-3
eBook Packages: Computer ScienceComputer Science (R0)