Using social media to measure student wellbeing: A large-scale study of emotional response in academic discourse

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 10046 LNCS, Issue , 2016, Pages 510-526

  Volkova, Svitlana ^a   Han, Kyungsik ^a   Corley, Courtney ^a  

^a PACIFIC NORTHWEST NATIONAL LABORATORY   (United States)

Author keywords

Academic discourse; Opinion and emotion prediction; Social media analytics; Student wellbeing

Indexed keywords

PREDICTIVE ANALYTICS; SOCIAL NETWORKING (ONLINE);

ACADEMIC DISCOURSE; ACADEMIC PERFORMANCE; EMOTION PREDICTIONS; SENTIMENT CLASSIFICATION; SOCIAL MEDIA ANALYTICS; STUDENT SATISFACTION; UNIVERSITY OF CALIFORNIA-BERKELEY; WELLBEING;

STUDENTS;

EID: 84995511029     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-319-47880-7_32     Document Type: Conference Paper

References (35)

1. Benson, V., Morgan, S., Filippaios, F.: Social career management: social media and employability skills gap. Comput. Hum. Behav. 30, 519-525 (2014)
2. Chang, L., Krosnick, J.A.: National surveys via RDD telephone interviewing versus the internet comparing sample representativeness and response quality. Public Opin. Q. 73(4), 641-678 (2009)
3. Correa, T., Hinsley, A.W., De Zuniga, H.G.: Who interacts on the web? The intersection of users personality and social media use. Comput. Hum. Behav. 26(2), 247-253 (2010)
4. Desmet, P.M.: Designing emotion (2002)
5. Ekman, P.: An argument for basic emotions. Cogn. Emot. 6(3-4), 169-200 (1992)
6. Grosseck, G., Bran, R., Tiru, L.: Dear teacher, what should I write on my wall? A case study on academic uses of Facebook. Procedia Soc. Behav. Sci. 15, 1425-1430 (2011)
7. Han, K., Volkova, S., Corley, C.D.: Understanding roles of social media in academic engagement and satisfaction for graduate students. In: Proceedings of the ACM CHI Conference on Human Factors in Computing Systems, pp. 1215-1221. ACM (2016)
8. Jacobsen, W.C., Forste, R.: The wired generation: academic and social outcomes of electronic media use among university students. Cyberpsychol. Behav. Soc. Netw. 14(5), 275-280 (2011)
9. Junco, R., Heiberger, G., Loken, E.: The effect of Twitter on college student engagement and grades. J. Comput. Assist. Learn. 27(2), 119-132 (2011)
10. Knight, C.G., Kaye, L.K.: To tweet or not to tweet? A comparison of academics and students usage of Twitter in academic contexts. Innovations Educ. Teach. Int. pp. 1-11 (2014)
11. Kosinski, M., Stillwell, D., Graepel, T.: Private traits and attributes are predictable from digital records of human behavior. Proc. Natl. Acad. Sci. 110, 5802-5805 (2013)
12. Lampos, V., Aletras, N., Preoţiuc-Pietro, D., Cohn, T.: Predicting and characterizing user impact on Twitter. In: Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics (EACL), pp. 405-413 (2014)
13. Li, J., Ritter, A., Hovy, E.: Weakly supervised user profile extraction from Twitter. In: Proceedings of ACL (2014)
14. Mikolov, T., Chen, K., Corrado, G., Dean, J.: Efficient estimation of word representations in vector space. arXiv preprint arXiv:1301.3781 (2013)
15. Mohammad, S.M., Kiritchenko, S.: Using hashtags to capture fine emotion categories from tweets. Comput. Intell. 31, 301-326 (2014)
16. Nakov, P., Rosenthal, S., Kozareva, Z., Stoyanov, V., Ritter, A., Wilson, T.: Semeval-2013 task 2: sentiment analysis in Twitter. In: Proceedings of SemEval, pp. 312-320 (2013)
17. O’Connor, B., Balasubramanyan, R., Routledge, B.R., Smith, N.A.: From tweets to polls: linking text sentiment to public opinion time series. In: Proceedings of ICWSM, pp. 122-129 (2010)
18. Pak, A., Paroubek, P.: Twitter as a corpus for sentiment analysis and opinion mining. In: Proceedings of LREC (2010)
19. Pang, B., Lee, L.: Opinion mining and sentiment analysis. Found. Trends IR 2(1-2), 1-135 (2008)
20. Pang, B., Lee, L., Vaithyanathan, S.: Thumbs up? Sentiment classification using machine learning techniques. In: Proceedings of EMNLP, pp. 79-86 (2002)
21. Pedregosa, F., Varoquaux, G., Gramfort, A., Michel, V., Thirion, B., Grisel, O., Blondel, M., Prettenhofer, P., Weiss, R., Dubourg, V., Vanderplas, J., Passos, A., Cournapeau, D., Brucher, M., Perrot, M., Duchesnay, E.: Scikit-learn: machine learning in Python. J. Mach. Learn. Res. 12, 2825-2830 (2011)
22. Pennington, J., Socher, R., Manning, C.D.: Glove: global vectors for word representation. In: Proceedings of EMNLP, vol. 14, pp. 1532-1543 (2014)
23. Perrin, A.: Social media usage: 2005-2015 (2015)
24. Priem, J., Costello, K.L.: How and why scholars cite on Twitter. Proc. Am. Soc. Inf. Sci. Technol. 47(1), 1-4 (2010)
25. Qadir, A., Riloff, E.: Bootstrapped learning of emotion hashtags# hashtags4you. In: Proceedings of WASSA (2013)
26. Roberts, K., Roach, M.A., Johnson, J., Guthrie, J., Harabagiu, S.M.: Empatweet: annotating and detecting emotions on Twitter. In: Proceedings of LREC (2012)
27. Roblyer, M.D., McDaniel, M., Webb, M., Herman, J., Witty, J.V.: Findings on Facebook in higher education: a comparison of college faculty and student uses and perceptions of social networking sites. Internet High. Educ. 13(3), 134-140 (2010)
28. Salathé, M., Khandelwal, S.: Assessing vaccination sentiments with online social media: implications for infectious disease dynamics and control. PLoS Comput. Biol. 7(10), e1002199 (2011)
29. Strapparava, C., Mihalcea, R.: Semeval-2007 task 14: affective text. In: Proceedings of SemEval, pp. 70-74 (2007)
30. Veletsianos, G.: Higher education scholars’ participation and practices on Twitter. J. Comput. Assist. Learn. 28(4), 336-349 (2012)
31. Volkova, S., Yoram, B.: On predicting sociodemographic traits and emotions from communications in social networks and their implications to online self-disclosure. Cyberpsychol. Behav. Soc. Netw. 18(12), 726-736 (2015)
32. Volkova, S., Bachrach, Y., Armstrong, M., Sharma, V.: Inferring latent user properties from texts published in social media (demo). In: Proceedings of AAAI (2015)
33. Wang, W., Chen, L., Thirunarayan, L., Sheth, A.P.: Harnessing Twitter big data for automatic emotion identification. In: Proceedings of SocialCom, pp. 587-592 (2012)
34. Zheng, S., Han, K., Rosson, M.B., Carroll, J.: The role of social media in MOOCs: how to use social media to enhance student retention. In: Proceedings of the ACM Conference on Learning@ Scale, pp. 419-428. ACM (2016)
35. Zhu, X., Kiritchenko, S., Mohammad, S.M.: NRC-Canada-2014: recent improvements in the sentiment analysis of tweets. In: Proceedings of SemEval (2014)