Evaluating the quality of educational answers in community question-answering

Proceedings of the ACM/IEEE Joint Conference on Digital Libraries

Volumn 2016-September, Issue , 2016, Pages 129-138

  Le, Long T ^a   Shah, Chirag ^b   Choi, Erik ^c  

^a RUTGERS UNIVERSITY   (United States)

^b RUTGERS UNIVERSITY   (United States)

^c Brainly Inc   (United States)

Author keywords

Answer Quality; Community Question Answering (CQA); Features

Indexed keywords

DECISION TREES; DIGITAL LIBRARIES; EDUCATION; KNOWLEDGE BASED SYSTEMS; MODERATORS; STUDENTS;

AREA UNDER ROC CURVE (AUC); CLASSIFICATION MODELS; COMMUNITY QUESTION ANSWERING; EVALUATION FRAMEWORK; FEATURES; INACCURATE INFORMATION; ONLINE ENVIRONMENTS; SUBJECTIVE ASSESSMENTS;

QUALITY CONTROL;

EID: 84989809610     PISSN: 15525996     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2910896.2910900     Document Type: Conference Paper

References (36)

1. L. A. Adamic, J. Zhang, E. Bakshy, and M. S. Ackerman. Knowledge sharing and yahoo answers: Everyone knows something. In WWW, pages 665-674, 2008.
2. C. Aritajati and N. H. Narayanan. Facilitating students' collaboration and learning in a question and answer system. In CSCW Companion, pages 101-106, 2013.
3. M. Berlingerio, D. Koutra, T. Eliassi-Rad, and C. Faloutsos. Network similarity via multiple social theories. In ASONAM, pages 1439-1440, 2013.
4. C. M. Bishop. Pattern Recognition and Machine Learning (Information Science and Statistics). Springer, 2006.
5. L. Breiman. Random forests. Mach. Learn., 45 (1): 5-32, 2001.
6. E. Choi, M. Borkowski, J. Zakoian, K. Sagan, K. Scholla, C. Ponti, M. Labedz, and M. Bielski. Utilizing content moderators to investigate critical factors for assessing the quality of answers on brainly, social learning Q&A platform for students: A pilot study. In ASIST, 2015.
7. E. Choi, V. Kitzie, and C. Shah. Developing a typology of online Q&A models and recommending the right model for each question type. In ASIST, pages 1-4, 2012.
8. E. Choi and C. Shah. User motivation for asking a question in online Q&A services. JASIST, In press.
9. R. A. Cole. Issues in Web-based pedagogy: A critical primer. Greenwood Press, 2000.
10. D. H. Dalip, H. Lima, M. A. Gonçalves, M. Cristo, and P. Calado. Quality assessment of collaborative content with minimal information. In JCDL, pages 201-210, 2014.
11. G. Dror, Y. Maarek, and I. Szpektor. Will my question be answered predicting "question answerability" in community question-answering sites. In ECML/PKDD, volume 8190, pages 499-514, 2013.
12. R. Gazan. Social Q&A. JASIST, 63: 2301-2312, 2011.
13. S. D. Gollapalli, P. Mitra, and C. L. Giles. Ranking experts using author-document-topic graphs. In JCDL, pages 87-96, 2013.
14. T. Hastie, R. Tibshirani, and J. Friedman. The Elements of Statistical Learning. Springer Series in Statistics, 2009.
15. J. P. Kincaid, R. P. Fishburne, R. L. Rogers, and B. S. Chissom. Derivation of New Readability Formulas (Automated Readability Index, Fog Count and Flesch Reading Ease Formula) for Navy Enlisted Personnel. Technical report, Naval Air Station Memphis, 1975.
16. L. T. Le, T. Eliassi-Rad, and H. Tong. MET: A fast algorithm for minimizing propagation in large graphs with small eigen-gaps. In SDM, pages 694-702, 2015.
17. L. T. Le and C. Shah. Retrieving rising stars in focused community question-answering. In ACIIDS, pages 25-36, 2016.
18. A. Y. Levy, A. Rajaraman, and J. J. Ordille. Querying heterogeneous information sources using source descriptions. In VLDB, pages 251-262, 1996.
19. Y. Liu, J. Bian, and E. Agichtein. Predicting information seeker satisfaction in community question answering. In SIGIR, pages 483-490, 2008.
20. E. Momeni, K. Tao, B. Haslhofer, and G.-J. Houben. Identification of useful user comments in social media: A case study on flickr commons. In JCDL, pages 1-10, 2013.
21. M. Noer. One Man, One Computer, 10 Million Students: How Khan Academy Is Reinventing Education. Forbes, 2013.
22. J. Preece, B. Nonnecke, and D. Andrews. The top five reasons for lurking: improving community experiences for everyone. Computers in Human Behavior, 20 (2): 201-223, 2004.
23. C. Ross, K. Nilsen, and P. Dewdney. Conducting the reference interview: A how-to-do-it manual for librarians. New York: NealSchuman, 2002.
24. C. Shah and V. Kitzie. Social q&a and virtual reference-comparing apples and oranges with the help of experts and users. JASIST, 63: 2020-2036, 2012.
25. C. Shah, S. Oh, and J. S. Oh. Research agenda for social Q&A. Library & Information Science Research, 31 (4): 205-209, 2009.
26. C. Shah and J. Pomerantz. Evaluating and predicting answer quality in community qa. In SIGIR, pages 411-418, 2010.
27. C. Shah, M. Radford, L. Connaway, E. Choi, and V. Kitzie. How much change do you get from 40$ analyzing and addressing failed questions on social Q&A. In ASIST, pages 1-10, 2012.
28. I. Srba and M. Bielikova. Askalot: Community question answering as a means for knowledge sharing in an educational organization. In CSCW Companion, pages 179-182, 2015.
29. M. Surdeanu, M. Ciaramita, and H. Zaragoza. Learning to rank answers on large online qa collections. In ACL, pages 719-727, 2008.
30. J. Surowiecki. The Wisdom of Crowds. Anchor, 2005.
31. M. A. Suryanto, E. P. Lim, A. Sun, and R. H. L. Chiang. Quality-aware collaborative question answering: Methods and evaluation. In WSDM, pages 142-151, 2009.
32. P. A. Tess. The role of social media in higher education classes (real and virtual)-a literature review. Computers in Human Behavior, 29: A60-A68, 2013.
33. G. Wang, K. Gill, M. Mohanlal, H. Zheng, and B. Y. Zhao. Wisdom in the social crowd: An analysis of quora. In WWW, pages 1341-1352, 2013.
34. L. Yang, S. Bao, Q. Lin, X. Wu, D. Han, Z. Su, and Y. Yu. Analyzing and predicting not-answered questions in community-based question answering services. In AAAI, pages 1273-1278, 2011.
35. S. Yang. Information seeking as problem-solving using a qualitative approach to uncover the novice learners' information-seeking process in a perseus hypertext system. Library and Information Science Research, 19 (1): 71-92, 1997.
36. Y. Yao, H. Tong, F. Xu, and J. Lu. Predicting long-term impact of cqa posts: A comprehensive viewpoint. In SIGKDD, pages 1496-1505, 2014.