Quality of social media data and implications of social media for data quality

Proceedings of ICIQ 2012: 17th International Conference on Information Quality

Volumn , Issue , 2012, Pages 311-325

  Shankaranarayanan, G ^a   Iyer, Bala ^a   Stoddard, Donna ^a  

^a BABSON COLLEGE   (United States)

Author keywords

Believability; Data quality; Quality dimensions; Social media; Social media data; Social media tools

Indexed keywords

DATA REDUCTION; INFORMATION ANALYSIS;

BELIEVABILITY; DATA QUALITY; QUALITY DIMENSION; SOCIAL MEDIA; SOCIAL MEDIA DATUM; SOCIAL MEDIA TOOLS;

SOCIAL NETWORKING (ONLINE);

EID: 84963573813     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (37)

1. Agichtein, E., Castillo, C., Donato, D., Gionis, A. and Mishe, G. (2008), Finding High-Quality Content in Social Media, WSDM 2008, Palo Alto, CA, USA.
2. Ballou, D., Wang, R. Y., Pazer, H., and Tayi, G. K. (1998). Modeling information manufacturing systems to determine information product quality, Management Science, 44(4), 462-484
3. Brin, S. and Page, L. The Anatomy of a Large-Scale, Hypertextual Web Search Engine, obtained in August 2011 from http:infolab.stanford.edu/~backrub/google.html.
4. Chengalur-Smith, I., Ballou, D. P. and Pazer, H. L. (1999) The Impact of Data Quality Informationon Decision Making: An Exploratory Study, IEEE Transactions on Knowledge and Data Engineering 11 (6).
5. Cowgill, B., Wolfers, J. and Zitzewitz, E. (2009). Using Prediction Markets To Track Information Flows: Evidence From Google, obtained in August 2011 from http://www.bocowgill.com/GooglePredictionMarketPaper.pdf
6. DeLone, W. H. and McLean, E. R. (1992). Information systems success: the quest for the dependent variable, Information Systems Research, 3(1), 60-95.
7. Eckerson, W. W. (2002). Data Quality and the Bottom Line, The Data Warehousing Institute, Seattle, WA.
8. English, L. (1999). Improving Data Warehouse and Business Information Quality. John Wiley & Sons, NY.
9. Even, A. and Shankaranarayanan, G. - Utility-driven assessment of Data Quality, The DATA BASE for Advances in Information Systems 38 (2) (2007) 76–93.
10. Even, A., Shankaranarayanan, G. and Berger, P. D., Economics-driven data management: an application to the design of tabular datasets, IEEE Transactions on Knowledge and Data Engineering 19 (6) (2007) 818–831
11. Fisher, C. W., Chengalur-Smith, I. and Ballou, D.P. (2003). The impact of experience and time on the use of data quality information in decision-making, Information Systems Research, 14(2), 170-188.
12. Fisher, C. W., Lauria, E., Chengalur-Smith, I. and Wang, R. Y. (2006) Introduction to Information Quality, Advances in Information Quality Book Series, MIT IQ Publications, Boston, MA.
13. Gaynor, M. and Shankaranarayanan, G. (2008) Implications of Sensors and Sensor-Networks for Data Quality Management, International Journal of Information Quality, Vol. 2, No. 1, pp. 75-93.
14. th International Conference on the World Wide Web (WWW’04), ACM Press, New York, NY.
15. Hernandez, M. A. and Stolfo, S. J. (1998). Real world data is dirty: data cleansing and the merge/purge problem, Journal of Data Mining and Knowledge Discovery, 2(1), 9-37.
16. Howe, J. (2006). The Rise of Crowd-Sourcing, Wired Magazine, obtained in August 2011 from http://www.wired.com/wired/archive/14.06/crowds.html
17. IDC Report (2010). The Digital Universe Decade – Are You Ready, (indirect cite from http://www.collectiveintellect.com/blog/wp-content/uploads/2011/04/IntegrationFINAL.pdf accessed in June 2012). The original accessed at http://www.emc.com/collateral/demos/microsites/emcdigital-universe-2011/index.htm (published May 2010, accessed June 2012).
18. th Annual ACM SIGIR Conference (SIGIR’06), ACM Press, New York, NY.
19. Kahn, B. K., Strong, D. M. and Wang, R. Y. (2002). Information quality benchmarks: product and service performance, Communications of the ACM, 45(4), 184-193.
20. Kaplan, A. M. and Haenlein, M. (2010) Users of the world, unite! The challenges and opportunities of Social Media, Business Horizons 53(1), Jan-Feb 2010, pp. 59-68
21. Kleinberg, J. M. (1999) Authoritative Sources in Hyperlinked Environment, Journal of the ACM, 46(5), pp. 604-632
22. Kvale, S. (1996) Interviews: An Introduction to Qualitative Research Interviewing. Sage Publications, Thousand Oaks, CA.
23. Lee, Y. W., Pipino, L. L., Funk, J. D. and Wang, R. Y. (2006). Journey to Data Quality. MIT Press, Cambridge, MA.
24. Madnick, S., Wang, R. Y. and Lee, . W. Overview and Framework for Data and Information Quality Research, ACM Journal of Information and Data Quality, vol. 1, 2009, pp. 1-22.
25. Morey, R. C. (1982) Estimating and improving the quality of information in the MIS, Communications of the ACM 25 (5) (1982) 337–342.
26. Pipino, L. L., Lee, Y. W. and Wang, R. Y. Data Quality Assessment, Communications of the ACM 45 (4) (2002).
27. Redman, T. C. (Ed.) (1996) Data Quality for the Information Age, Artech House, Boston, MA
28. Scott, J. P. (2000) Social Network Analysis: A Handbook, SAGE publications, Thousand Oaks, CA.
29. Shankaranarayanan, G., Ziad, M. and Wang, R. Y. (2003). Managing data quality in dynamic decision environment: an information product approach, J. of Database Management, 14, 14-32.
30. Shankaranarayanan, G. and Cai, Y. Supporting data quality management in decision making, Decision Support Systems 42 (1) (2006) 302–317.
31. Strong, D. M., Lee, Y. W. and Wang, R.Y. (1997), Data quality in context, Communications of the ACM, 40(5), 103-110.
32. th International Conference on the World Wide Web (WWW’07), ACM Press, New York, NY.
33. Wang, R.Y. (1998). A product perspective on total data quality management, Communications of the ACM, 41(2), 58-65
34. Wang, R. Y. and Strong D. M. (1996). Beyond accuracy: what data quality means to data consumers, Journal of Management Information Systems, 12(4), 5-34.
35. Watts, S., Shankaranarayanan, G. and Even, A. (2009) Assessing Data Quality in Context: A Cognitive Perspective, Decision Support Systems, 48, pp. 202-211.
36. Shankaranarayanan, G. and Watts, S. (2003) A Relevant Believable Approach for Data Quality Assessment, in the Proceedings of the International Conference on Information Quality (ICIQ), Boston, MA, U.S.A.
37. Webster, T. (2011) The Uneasy Relationship between Twitter and Social Media Measurement, (http://brandsavant.com/the-uneasy-relationship-between-twitter-and-social-media-measurement), accessed in June 2011