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Emergent Digital Discourses: What Can We Learn From Hashtags and Digital Games to Expand Learners’ Second Language Repertoire?

Published online by Cambridge University Press:  23 July 2019

Julie M. Sykes*
Affiliation:
University of Oregon

Abstract

In recent years, digital technologies have expanded the possibilities for human interactions in ways that were never before imagined, further complicating the teaching and learning of languages (Taguchi & Sykes, 2013; Thorne, Sauro, & Smith, 2015). Despite this complexity, when approached as meaningful, high-stakes practices, discourses in digital contexts can be highly useful for language learning and teaching. This article synthesizes work related to two digital discourse contexts, specifically hashtags and digital games. Moving away from technology as the vehicle to deliver “important content,” the analysis to follow examines digital discourses as both the content and context to be examined as part of learners’ multilingual experiences. The article begins by situating the discussion focused on digital discourses, reviewing relevant work addressing interactional patterns in each context, and then applying findings to second language teaching and learning. Drawing on empirical work, the article then describes a framework with specific examples for learner exploration of digital discourses as part of their language learning experience. The article concludes with implications for future research and teaching.

Type
Position Paper
Copyright
Copyright © Cambridge University Press 2019 

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References

Abascal-Mena, R., López-Ornelas, E., & Zepeda-Hernández, J. S. (2013). User generated content: an analysis of user behavior by mining political tweets. In Ant Ozok, A. & Zaphiris, P. (Eds.), Online communities and social computing (pp. 312). Berlin, Germany: Springer.Google Scholar
Aiken, M. (2016). The cyber effect: A pioneering cyber-psychologist explains how human behavior changes online. New York, NY: Spiegel & Grau.Google Scholar
An, J., & Weber, I. (2016). #greysanatomy vs. #yankees: Demographics and hashtag use on Twitter. Preprint, arXiv:1603.01973.Google Scholar
Black, R.W. (2009). Online fan fiction, global identities, and imagination. Research in the Teaching of English, 43(4), 397425.Google Scholar
Bryant, T. (2006). Using World of Warcraft and other MMORPGs to foster a targeted, social, and cooperative approach toward language learning. Academic Commons. Retrieved from https://scholar.dickinson.edu/cgi/viewcontent.cgi?article=1781&context=faculty_publicationsGoogle Scholar
Carter, S., Tsagkias, M., & Weerkamp, W. (2011). Twitter hashtags: Joint translation and clustering. In Proceedings of the ACM WebSci'11, June 15–17, 2011, Koblenz, Germany.Google Scholar
Cornillie, F., Thorne, S. L., & Desmet, P. (2012). Digital games for language learning: From hype to insight? ReCALL Journal, 24(3), 243256.Google Scholar
Cunha, E., Magno, G., Comarela, G., Almeida, V., Gonçalves, A., & Benevenuto, F. (2011). Analyzing the dynamic evolution of hashtags on Twitter: A language-based approach. In Proceedings of the Workshop on Languages in Social Media (pp. 5865). Stroudsburg, PA: Association for Computational Linguistics.Google Scholar
Davidov, D., Tsur, O., & Rappoport, A. (2010). Enhanced sentiment learning using Twitter hashtags and smileys. In Proceedings of the 23rd International Conference on Computational Linguistics (pp. 241249). Stroudsburg, PA: Association for Computational Linguistics.Google Scholar
Dorsch, I., Zimmer, F., & Stock, W. G. (2017). Image indexing through hashtags in Instagram. Proceedings of the Association for Information Science and Technology, 54(1), 658659.Google Scholar
Furstenberg, G., Levet, S., English, K., & Maillet, K. (2001). Giving a virtual voice to the silent language of culture: The cultura project. Technology, 5, 55102.Google Scholar
Gee, J. P. (2005). Pleasure, learning, videogames, and life: the projective stance. E-Learning, 2, 211223.Google Scholar
Glasgow, K., & Fink, C. (2013). Hashtag lifespan and social networks during the London riots. In Greenberg, A. M., Kennedy, W. G., & Bos, N. D. (Eds.), Social Computing, Behavioral-Cultural Modeling, and Prediction (pp. 311320). Berlin, Germany: Springer.Google Scholar
Hashtag [Def. 1]. (n.d.). In Merriam Webster Online, retrieved December 8, 2018, from http://www.merriam-webster.com/dictionary/hashtagGoogle Scholar
Holden, C., & Sykes, J. (2011). Leveraging mobile games for place-based language learning. International Journal of Game-Based Learning, 1(2), 118.Google Scholar
Kirby, S. (2017). From Single-player to team-player: The language gamers use to initiate a novice. Paper presented at CALICO Conference, 2017. Flagstaff, AZ.Google Scholar
Knight, S., Marean, L, & Sykes, J. (2019). Gaming and informal language learning. In Dressman, M. & Sadler, R. (Eds.), The handbook of informal language learning. New York, NY: Wiley.Google Scholar
Lai, M., Bosco, C., Patti, V., & Virone, D. (2015). Debate on political reforms in Twitter: A hashtag-driven analysis of political polarization. In Proceedings of the 2015 IEEE International Conference on Data Science and Advanced Analytics (pp. 19). Piscataway, NJ: IEEE.Google Scholar
Liang, M. Y. (2012). Foreign lucidity in online role-playing games. Computer Assisted Language Learning, 25(5), 455473.Google Scholar
Lin, Y. R., Margolin, D., Keegan, B., Baronchelli, A., & Lazer, D. (2013). # bigbirds never die: Understanding social dynamics of emergent hashtag. Preprint, arXiv:1303.7144.Google Scholar
Lu, M. D., & Thomas, A. C. (2015). Beyond mere following: Mention network, a better alternative for researching user interaction and behavior. In Greenberg, A. M., Kennedy, W. G., & Bos, N. D. (Eds.), Social computing, behavioral-cultural modeling, and prediction (pp. 362368). Cham, Switzerland: Springer.Google Scholar
Ma, Z., Sun, A., Yuan, Q., & Cong, G. (2014). Tagging your tweets: A probabilistic modeling of hashtag annotation in Twitter. In Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management (pp. 9991008). New York, NY: ACM.Google Scholar
Maity, S. K., Saraf, R., & Mukherjee, A. (2016). #Bieber + #Blast = #BieberBlast: Early prediction of popular hashtag compounds. In Proceedings of the 19th ACM Conference on Computer-Supported Cooperative Work & Social Computing (pp. 5063). New York, NY: ACM.Google Scholar
McBride, K. (2009). Social networking sites in foreign language classrooms: opportunities for recreation. In Lord, G. & Lomika, L. (Eds.), The next generation: Social networking and online collaboration in foreign language learning (pp. 3558). San Marcos, TX: CALICO.Google Scholar
Mitchell, K. (2009). ESOL students on Facebook (Unpublished master's thesis). Portland, OR: Portland State University.Google Scholar
Modern Language Association. (2007). Foreign languages in higher education: New structures for a changing world. New York, NY: Author.Google Scholar
Mohammad, S. M., & Kiritchenko, S. (2015). Using hashtags to capture fine emotion categories from tweets. Computational Intelligence, 31(2), 301326.Google Scholar
New London Group. (1996). A pedagogy of multiliteracies. Harvard Educational Review, 66(1), 6092.Google Scholar
Page, R. (2012). The linguistics of self-branding and micro-celebrity in Twitter: The role of hashtags. Discourse & Communication, 6(2), 181201.Google Scholar
Peña, J., & Hancock, J. (2006). An analysis of socioemotional and task communication in online multiplayer video games. Communication Research, 33, 92109.Google Scholar
Qadir, A., & Riloff, E. (2014). Learning emotion indicators from tweets: Hashtags, hashtag patterns, and phrases. In Moschitti, A., Pang, B., & Daelemans, W. (Eds.), Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP) (pp. 12031209). New York, NY: ACM.Google Scholar
Pellegrino, J. W., & Hilton, M. L. (2012). Developing transferable knowledge and skills in the 21st century. Washington, DC: National Research Council.Google Scholar
Reinhardt, J. (2013). An applied genre analysis of office hours consultations. International Journal of Corpus Linguistics, 18(3), 301326.Google Scholar
Reinhardt, J. (2019). Gameful second and foreign language teaching and learning: Theory, research, and practice. Basingstoke, UK: Palgrave Macmillan.Google Scholar
Reinhardt, J., & Sykes, J. (2012). Conceptualizing digital game-mediated L2 learning and pedagogy: game-enhanced and game-based research and practice. In Reinders, H. (Ed.), Computer games in language learning and teaching (pp. 3249). Basingstoke, UK: Palgrave Macmillan.Google Scholar
Reinhardt, J., & Zander, V. (2011). Social networking in an intensive English program classroom: A language socialization perspective. CALICO Journal, 28(2), 326344.Google Scholar
Sanlı, C., & Lambiotte, R. (2015). Local variation of hashtag spike trains and popularity in Twitter. PloS ONE, 10(7), e0131704.Google Scholar
Sauro, S. (2017). Online fan practices and CALL. CALICO Journal, 34(2), 131146.Google Scholar
Scott, K. (2015). The pragmatics of hashtags: Inference and conversational style on Twitter. Journal of Pragmatics, 81, 820.Google Scholar
Shi, N., Gao, C., Zhang, Z., Zhong, L., & Huang, J. (2013). The spontaneous behavior in extreme events: A clustering-based quantitative analysis. In Motoda, H., Wu, Z., Cao, L., Zaiane, O., Yao, M., & Wang, W. (Eds.), Advanced Data Mining and Applications. ADMA 2013 (pp. 336347). Berlin, Germany: Springer.Google Scholar
Soares, D. (2010). Second language pragmatic socialization in World of Warcraft (Unpublished doctoral dissertation). University of California, Davis.Google Scholar
Steinkuehler, C. (2008). Massively multiplayer online games as an educational technology: An outline for research, Educational Technology, 48(1), 1021.Google Scholar
Steinkuehler, C., & Chmiel, M. (2006). Fostering scientific habits of mind in the context of online play. In Barab, S. A., Hay, K. E., Songer, N. B., & Hickey, D. T. (Eds.), Proceedings of the International Conference of the Learning Sciences (pp. 723729). Mahwah, NJ: Erlbuam.Google Scholar
Stieglitz, S., & Dang-Xuan, L. (2012). Political communication and influence through microblogging—An empirical analysis of sentiment in Twitter messages and retweet behavior. In Proceedings of the 2012 45th Hawaii International Conference on System Sciences (pp. 35003509). Washington, DC: IEEE.Google Scholar
Sykes, J. (2016). Technologies for teaching and learning intercultural competence and interlanguage pragmatics. In Sauro, S. & Chappelle, C. (Eds.), Handbook of technology and second language teaching and learning (pp. 119133). New York, NY: Wiley.Google Scholar
Sykes, J. (2018). Review article: Interlanguage pragmatics, curricular innovation, and digital technologies. CALICO Journal, 35(2), 120141.Google Scholar
Sykes, J., & Dubreil, S. (in press). Pragmatics learning in digital games and virtual environments. In Taguchi, N. (Ed.), Routledge handbook on pragmatics and technology. London, UK: RoutledgeGoogle Scholar
Sykes, J., Holden, C., & Knight, S. (2019). Communities: Exploring digital games and social networking. In Ducate, L. & Arnold, N. (Eds.), Engaging language learners through CALL: From theory and research to informed practice (pp. 353379). Sheffield: Equinox.Google Scholar
Sykes, J., & Reinhardt, J. (2013). Language at play: Digital games in second and foreign language teaching and learning. Boston, MA: Pearson Education.Google Scholar
Taguchi, N., & Sykes, J. M. (2013). Technology in interlanguage pragmatics research and teaching. Amsterdam, The Netherlands: John Benjamins.Google Scholar
Thorne, S. L. (2008). Transcultural communication in open Internet environments and massively multiplayer online games. In Magnan, S. (Ed.), Mediating discourse online (pp. 305327). Amsterdam, The Netherlands: John Benjamins.Google Scholar
Thorne, S. L., Black, R., & Sykes, J. M. (2009). Second language use, socialization, and learning in internet interest communities and online gaming. The Modern Language Journal, 93(1), 802821.Google Scholar
Thorne, S. L., Fischer, I., & Lu, X. (2012). The semiotic ecology and linguistic complexity of an online game world. ReCALL Journal, 24(3), 279301.Google Scholar
Thorne, S. L., & Reinhardt, J. (2008). Bridging activities, new media literacies and advanced foreign language proficiency. CALICO Journal, 25, 558572.Google Scholar
Thorne, S. L., Sauro, S., & Smith, B. (2015). Technologies, identities, and expressive activity. Annual Review of Applied Linguistics, 35, 215233.Google Scholar
Varol, O., Ferrara, E., Ogan, C. L., Menczer, F., & Flammini, A. (2014). Evolution of online user behavior during a social upheaval. In Proceedings of the 2014 ACM Conference on Web Science (pp. 8190). New York, NY: ACM.Google Scholar
Veletsianos, G. (2017). Three cases of hashtags used as learning and professional development environments. TechTrends, 61(3), 284292.Google Scholar
Weston, J., Chopra, S., & Adams, K. (2014). #tagspace: Semantic embeddings from hashtags. In Moschitti, A., Pang, B., & Daelemans, W. (Eds.), Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP) (pp. 18221827). New York, NY: ACM.Google Scholar
Wikström, P. (2014). #srynotfunny: Communicative functions of hashtags on Twitter. SKY Journal of Linguistics, 27, 127152. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:kau:diva-34891Google Scholar
Yus, F. (2010). Ciberpragmática 2.0. 2d ed. Barcelona, Spain: Editorial Planeta.Google Scholar
Zappavigna, M. (2015). Searchable talk: The linguistic functions of hashtags. Social Semiotics, 25(3), 274291.Google Scholar