1,025
Views
19
CrossRef citations to date
0
Altmetric

References

  • Abbasi, A.; and Chen, H. CyberGate: A design framework and system for text analysis of computer-mediated communication. MIS Quarterly, 32, 4 (2008), 811–837.
  • Abbasi, A.; Sarker, S.; and Chiang, R.H. Big data research in information systems: Toward an inclusive research agenda. Journal of the Association for Information Systems, 17, 2 (2016), pp. i–xxxii.
  • Agarwal, R., and Dhar, V. (2014) Editorial—Big data, Data Science, and Analytics: The opportunity and challenge for is research. Information Systems Research 25(3):443–448
  • Agrawal, A.; Gans, J.; and Goldfarb, A. Prediction machines: The simple economics of artificial intelligence. Harvard Business Press, Boston, MA, USA, 2018.
  • Anderson, C. The end of theory: The data deluge makes the scientific method obsolete. Wired Magazine, 16, 7 (2008), 1–3.
  • Arazy, O.; and Croitoru, A. The sustainability of corporate wikis: A time-series analysis of activity patterns. ACM Transactions on Management Information Systems (TMIS), 1, 1 (2010), 6.
  • Arazy, O.; and Nov, O. Determinants of Wikipedia quality: The roles of global and local contribution inequality. In Proceedings of the 2010 ACM Conference on Computer Supported Cooperative Work. 2010, pp. 233–236. Savannah, Georgia, USA: ACM Publishers.
  • Hickman et al. How Wikipedia Data Is Revolutionizing Flu Forecasting. MIT Technology Review, 2014. Accessed on June 29, 2015: http://www.technologyreview.com/view/532246/how-wikipedia-data-is-revolutionizing-flu-forecasting/.
  • Best Knowledge Management Software | 2018 Reviews of the Most Popular Systems. Accessed on November 20, 2018: https://www.capterra.com/knowledge-management-software/.
  • Blumenstock, J.E. Size matters: Word count as a measure of quality on Wikipedia. In Proceedings of the 17th International Conference on World Wide Web, 2008, pp. 1095–1096. Beijing, China: ACM Publications.
  • Bosman, J. After 244 years, Encyclopaedia Britannica stops the presses. The New York Times, 13, (2012), 1–3.
  • Brandes, U.; Kenis, P.; Lerner, J.; and van Raaij, D. Network analysis of collaboration structure in Wikipedia. In Proceedings of the 18th International Conference on World Wide Web. New York, NY, USA: ACM, 2009, pp. 731–740.
  • Brown, D. YouTube uses Wikipedia to fight fake news. The Times, 2018, pp. 1–3. Accessed on March 24, 2018 : https://www.thetimes.co.uk/article/youtube-fights-fake-news-with-wikipedia-frkpc8nm2.
  • Brynjolfsson, E.; Geva, T.; and Reichman, S. Crowd-Squared: Amplifying the Predictive Power of Search Trend Data. MIS Quarterly, 40, 4 (2015), 941–962.
  • Chau, M.; and Xu, J. Business intelligence in blogs: Understanding consumer interactions and communities. MIS Quarterly, 36, 4 (2012), 1189–1216.
  • Cohen, N. Courts turn to wikipedia, but selectively. The New York Times, 29, (2007).
  • Dai, W.; Jin, O.; Xue, G.-R.; Yang, Q.; and Yu, Y. Eigentransfer: A unified framework for transfer learning. In Proceedings of the 26th Annual International Conference on Machine Learning. Montreal, Canada: ACM, 2009, pp. 193–200.
  • Dang, Q.-V.; and Ignat, C.-L. Measuring quality of collaboratively edited documents: The case of Wikipedia. In Proceedings of the 2016 IEEE 2nd International Conference on Collaboration and Internet Computing (CIC). Pittsburgh, USA: IEEE, 2016, pp. 266–275.
  • Dean, J.; and Ghemawat, S. MapReduce: Simplified data processing on large clusters. Communications of the ACM, 51, 1 (2008), 107–113.
  • Dhar, V. Data science and prediction. Communications of the ACM, 56, 12 (2013), 64–73.
  • Dong, W.; Liao, S.; and Zhang, Z. Leveraging financial social media data for corporate fraud detection. Journal of Management Information Systems, 35, 2 (2018), 461–487.
  • Efron, B.; and Tibshirani, R. Improvements on cross-validation: The 632+ bootstrap method. Journal of the American Statistical Association, 92, 438 (1997), 548–560.
  • Ferschke, O.; Daxenberger, J.; and Gurevych, I. A survey of NLP methods and resources for analyzing the collaborative writing process in Wikipedia. In The People’s Web Meets NLP. Berlin, Heidelberg: Springer, 2013, pp. 121–160.
  • General Inquirer Categories. Accesed on March 18, 2018: http://www.wjh.harvard.edu/~inquirer/homecat.htm.
  • Geva, T.; Oestreicher-Singer, G.; Efron, N.; and Shimshoni, Y. Using forum and search data for sales prediction of high-involvement products. MIS Quarterly, 41, 1 (2017), 65–82.
  • Giles, J. Internet encyclopaedias go head to head. Nature, 438, 7070 (2005), 900–901.
  • Hasan Dalip, D.; André Gonçalves, M.; Cristo, M.; and Calado, P. Automatic quality assessment of content created collaboratively by web communities: A case study of wikipedia. In Proceedings of the 9th ACM/IEEE-CS Joint Conference on Digital Libraries. Austin, TX, USA: ACM, 2009, pp. 295–304.
  • Hevner, A.; March, S.T.; Park, J.; and Ram, S. Design science research in information systems. MIS quarterly, 28, 1 (2004), 75–105.
  • Holzinger, A.; Stocker, C.; Ofner, B.; Prohaska, G.; Brabenetz, A.; and Hofmann-Wellenhof, R. Combining HCI, natural language processing, and knowledge discovery-potential of IBM Content Analytics as an assistive technology in the biomedical field. In Human-Computer Interaction and Knowledge Discovery in Complex, Unstructured, Big Data. Berlin, Heidelberg: Springer, 2013, pp. 13–24.
  • Hu, M.; Lim, E.-P.; Sun, A.; Lauw, H.W.; and Vuong, B.-Q. Measuring article quality in wikipedia: models and evaluation. In Proceedings of the Sixteenth ACM Conference on Conference on Information and Knowledge Management. Lisbon, Portugal: ACM, 2007, pp. 243–252.
  • Ihaka, R.; and Gentleman, R. R. A language for data analysis and graphics. Journal of Computational and Graphical Statistics, 5, 3 (1996), 299–314.
  • Järvelin, K.; and Kekäläinen, J. IR evaluation methods for retrieving highly relevant documents. In Proceedings of the 23rd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval. New York, NY: ACM, 2000, pp. 41–48.
  • Kane, G.C. A multimethod study of information quality in wiki collaboration. ACM Transactions on Management Information Systems (TMIS), 2, 1 (2011), 4.
  • Kane, G.C.; Johnson, J.; and Majchrzak, A. Emergent life cycle: The tension between knowledge change and knowledge retention in open online coproduction communities. Management Science, 60, 12 (2014), 3026–3048.
  • Kane, G.C.; and Ransbotham, S. Research Note—Content and collaboration: An affiliation network approach to information quality in online peer production communities. Information Systems Research, 27, 2 (2016), 424–439.
  • Kane, G.C.; and Ransbotham, S. Content as community regulator: The recursive relationship between consumption and contribution in open collaboration communities. Organization Science, 27, 5 (2016), 1258–1274.
  • Kitchens, B.; Dobolyi, D.; Li, J.; and Abbasi, A. Advanced customer analytics: Strategic value through integration of relationship-oriented big data. Journal of Management Information Systems, 35, 2 (2018), 540–574.
  • Kitchin, R. Big Data, new epistemologies and paradigm shifts. Big Data & Society, 1, 1 (2014), 2053951714528481.
  • Kitchin, R. The data revolution: Big data, open data, data infrastructures and their consequences. London, UK :Sage, 2014.
  • Kittur, A.; and Kraut, R.E. Harnessing the wisdom of crowds in Wikipedia: Quality through coordination. In Proceedings of the 2008 ACM Conference on Computer Supported Cooperative Work. 2008, pp. 37–46, San Diego, California, USA.
  • Kittur, A.; Suh, B.; Pendleton, B.A.; and Chi, E.H. He says, she says: Conflict and coordination in Wikipedia. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. 2007, pp. 453–462. San Jose, California, USA: ACM Publishers.
  • de La Robertie, B.; Pitarch, Y.; and Teste, O. Measuring article quality in Wikipedia using the collaboration network. In Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM). New York, NY, USA: IEEE, 2015, pp. 464–471.
  • Laniado, D.; and Tasso, R. Co-authorship 2.0: Patterns of collaboration in Wikipedia. In Proceedings of the 22nd ACM Conference on Hypertext and Hypermedia. 2011, pp. 201–210. Eindhoven, The Netherlands: ACM Publishers.
  • Laniado, D.; Tasso, R.; Volkovich, Y.; and Kaltenbrunner, A. When the Wikipedians talk: Network and tree structure of Wikipedia discussion pages. In Proceedings of the 5th AAAI International Conference on Weblogs and Social Media. 2011, pp. 177–184. Barcelona, Spain: AAAI Publishers.
  • Lash, M.T.; and Zhao, K. Early predictions of movie success: The who, what, and when of profitability. Journal of Management Information Systems, 33, 3 (2016), 874–903.
  • Li, X.; Tang, J.; Wang, T.; Luo, Z.; and De Rijke, M. Automatically assessing Wikipedia article quality by exploiting article–editor networks. In European Conference on Information Retrieval. Springer, Vienna, Austria, 2015, pp. 574–580.
  • Lipka, N.; and Stein, B. Identifying featured articles in Wikipedia: Writing style matters. In Proceedings of the 19th International Conference on World Wide Web. ACM, Raleigh, North Carolina, USA, 2010, pp. 1147–1148.
  • Liu, J.; and Ram, S. Who does what: Collaboration patterns in the Wikipedia and their impact on article quality. ACM Transactions on Management Information Systems (TMIS), 2, 2 (2011), 11.
  • Liu, J.; and Ram, S. Using big data and network analysis to understand Wikipedia article quality. Data & Knowledge Engineering, 115, (2018), 80–93.
  • Martens, D.; Provost, F.; Clark, J.; and de Fortuny, E.J. Mining massive fine-grained behavior data to improve predictive analytics. MIS Quarterly, 40, 4 (2016), 869–888.
  • MySQL, A.B. MySQL database server. http://www. mysql. com (accessed/1/2000), (2004).
  • ORES - MediaWiki. https://www.mediawiki.org/wiki/ORES.
  • Pan, S.J.; and Yang, Q. A survey on transfer learning. IEEE Transactions on Knowledge and Data Engineering, 22, 10 (2010), 1345–1359.
  • Park, S.-H.; Huh, S.-Y.; Oh, W.; and Han, S.P. A social network-based inference model for validating customer profile data. MIS Quarterly, 36, 4 (2012), 1217–1237.
  • Peffers, K.; Tuunanen, T.; Rothenberger, M.A.; and Chatterjee, S. A design science research methodology for information systems research. Journal of Management Information Systems, 24, 3 (2007), 45–77.
  • Provost, F.; and Fawcett, T. Data science and its relationship to big data and data-driven decision making. Big Data, 1, 1 (2013), 51–59.
  • Provost, F.; Martens, D.; and Murray, A. Finding similar mobile consumers with a privacy-friendly geosocial design. Information Systems Research, 26, 2 (2015), 243–265.
  • Ransbotham, S.; and Kane, G.C. Membership turnover and collaboration success in online communities: Explaining rises and falls from grace in Wikipedia. MIS Quarterly, 35, 3 (2011), 613–627.
  • Ransbotham, S.; Kane, G.C.; and Lurie, N.H. Network characteristics and the value of collaborative user-generated content. Marketing Science, 31, 3 (2012), 387–405.
  • Schneider, J.; Passant, A.; and Breslin, J.G. Understanding and improving Wikipedia article discussion spaces. In Proceedings of the 2011 ACM Symposium on Applied Computing. Taichung, Taiwan: ACM, 2011, pp. 808–813.
  • Shahverdiev, J. Cloudera cluster with 6 nodes and 1 master(HDFS MapReduse) | Unixmen. Accessed date on January 01, 2018 https://www.unixmen.com/cloudera-cluster-with-6-nodes-and-1-masterhdfs-mapreduse/.
  • Shmueli, G. To explain or to predict? Statistical Science, 25, 3 (2010), 289–310.
  • Shmueli, G.; and Koppius, O.R. Predictive analytics in information systems research. MIS Quarterly, 35, 3 (2011), 553–572.
  • Shvachko, K.; Kuang, H.; Radia, S.; and Chansler, R. The hadoop distributed file system. In Proceedings of the 2010 IEEE 26th Symposium on Mass Storage Systems and Technologies (MSST), 2010, pp. 1–10.
  • Smith, E.A.; and Senter, R.J. Automated readability index. Cincinnati, Ohio, USA: Cincinnati University Ohio, 1967.
  • Stvilia, B.; Twidale, M.B.; Smith, L.C.; and Gasser, L. Assessing information quality of a community-based encyclopedia. In Proceedings of the International Conference on Information Quality. 2005, pp. 1–12. Cambridge, USA.
  • Stvilia, B.; Twidale, M.B.; Smith, L.C.; and Gasser, L. Information quality work organization in Wikipedia. Journal of the American Society for Information Science and Technology, 59, 6 (2008), 983–1001.
  • Suzuki, Y. Quality assessment of Wikipedia articles using h-index. Journal of Information Processing, 23, 1 (2015), 22–30.
  • Suzuki, Y.; and Yoshikawa, M. Assessing quality score of Wikipedia article using mutual evaluation of editors and texts. In Proceedings of the 22nd ACM International Conference on Information & Knowledge Management. ACM, San Francisco, California, USA, 2013, pp. 1727–1732.
  • Tambe, P. Big data investment, skills, and firm value. Management Science, 60, 6 (2014), 1452–1469.
  • Tapscott, D.; and Williams, A.D. Wikinomics: How mass collaboration changes everything. Penguin, New York, NY, USA, 2008.
  • The Importance of “Big Data”: A Definition. Accessed on January 01, 2018: https://www.gartner.com/doc/2057415/importance-big-data-definition.
  • Thusoo, A.; Sarma, J.S.; Jain, N.; et al. Hive: A warehousing solution over a map-reduce framework. Proceedings of the VLDB Endowment, 2, 2 (2009), 1626-1629.
  • Van Rossum, G. Python Programming Language. In USENIX Annual Technical Conference. 2007, pp. 36. Santa Clara, California, USA: ACM Publishers.
  • Viegas, F.B.; Wattenberg, M.; Kriss, J.; and Van Ham, F. Talk before you type: Coordination in Wikipedia. In Proceedings of the 40th Annual Hawaii International Conference on System Sciences. 2007, pp. 1–10. Waikoloa, HI, USA: IEEE Publishers.
  • Wikipedia is fixing one of the Internet’s biggest flaws - The Washington Post. Accessed on October 25, 2016: https://www.washingtonpost.com/news/wonk/wp/2016/10/25/somethings-terribly-wrong-with-the-internet-and-wikipedia-might-be-able-to-fix-it/.
  • Wang, S.; and Iwaihara, M. Quality evaluation of Wikipedia articles through edit history and editor groups. Web Technologies and Applications, 6612, (2011), 188-199.
  • Winter, R. Design science research in Europe. European Journal of Information Systems, 17, 5 (2008), 470–475.
  • Wöhner, T.; and Peters, R. Assessing the quality of Wikipedia articles with lifecycle based metrics. In Proceedings of the 5th International Symposium on Wikis and Open Collaboration. ACM, Orlando, Florida, 2009, pp. 1–10.
  • Wu, G.; Harrigan, M.; and Cunningham, P. Classifying Wikipedia articles using network motif counts and ratios. In Proceedings of the Eighth Annual International Symposium on Wikis and Open Collaboration. ACM, Linz, Austria, 2012, pp. 1–10.
  • Xu, S.X.; and Zhang, X.M. Impact of Wikipedia on market information environment: Evidence on management disclosure and investor reaction. MIS Quarterly, 37, 4 (2013), 1043–1068.
  • Zhang, K.; Bhattacharyya, S.; and Ram, S. Large-scale network analysis for online social brand advertising. MIS Quarterly, 40, 4 (2016), 849–868.
  • Zhou, S.; Qiao, Z.; Du, Q.; Wang, G.A.; Fan, W.; and Yan, X. Measuring customer agility from online reviews using big data text analytics. Journal of Management Information Systems, 35, 2 (2018), 510–539.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.