#Communing affiliation: Social tagging as a resource for aligning around values in social media

Discourse, Context and Media

Volumn 22, Issue , 2018, Pages 4-12

  Zappavigna, Michele ^a   Martin, J R ^b,c  

^a UNIVERSITY OF NEW SOUTH WALES   (Australia)

^b UNIVERSITY OF SYDNEY   (Australia)

^c SHANGHAI JIAO TONG UNIVERSITY   (China)

Author keywords

Affiliation; Depression; Hashtags; Social media; Social tagging; Systemic functional linguistics

Indexed keywords

EID: 85028976222     PISSN: 22116958     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.dcm.2017.08.001     Document Type: Article

References (48)

1. Bakhtin, M., 1935/1981. The Dialogic Imagination. University of Texas Press, NY, Austin.
2. Boyd, D., Golder, S., Lotan, G., 2010. Tweet, tweet, retweet: conversational aspects of retweeting on Twitter. In: Proceedings of 43rd Hawaii International Conference on System Sciences (HICSS). 5–8 January 2010. Computer Society Press, Honolulu, HI, United States of America, pp. 1–10.
3. Bruns, A., How long is a tweet? Mapping dynamic conversation networks in Twitter using Gawk and Gephi. Inform. Commun. Soc. 15 (2012), 1323–1351.
4. Bruns, A., Burgess, J., Researching news discussion on Twitter: new methodologies. J. Stud. 13 (2012), 801–814.
5. Calvin, A.J., Bellmore, A., Xu, J.-M., et al. #bully: uses of hashtags in posts about bullying on Twitter. J. School Viol. 14 (2014), 133–153.
6. Carter, S., Tsagkias, M., Weerkamp, W., 2011. Twitter hashtags: joint translation and clustering. In: Proceedings of the ACM WebSci’11, June 14–17 2011, Koblenz, Germany, pp. 1–3. http://www.websci11.org/fileadmin/websci/Posters/125_paper.pdf.
7. Cislaru, G., Emotions in tweets: from instantaneity to preconstruction. Soc. Sci. Inform. 54 (2015), 455–469.
8. Crystal, D., The Changing Nature of Text: A Linguistic Perspective. Text Comparison and Digital Creativity. 2010, Brill, Leiden, 229–251.
9. 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, Beijing, August 2010. Association for Computational Linguistics, pp. 241–249.
10. Eggins, S., Slade, D., Analysing Casual Conversation. 2005, Equinox, London.
11. Firth, J.R., Papers in Linguistics, 1934–1951. 1957, Oxford University Press, London.
12. Han, J., ‘#feminism is not a dirty word’: Axiology, Ambient Affiliation and Dialogism in Discourses Surrounding Feminism in Microblogging, Department of Linguistics. 2015, University of Sydney.
13. Highfield, T., Harrington, S., Bruns, A., Twitter as a technology for audiencing and fandom: the# Eurovision phenomenon. Inform. Commun. Soc. 16 (2013), 315–339.
14. Huang, J., Hornton, K.M., Efthimiadis, E.N., 2010. Conversational tagging in twitter. In: Proceedings of the 21st ACM Conference on Hypertext and Hypermedia. ACM, Toronto, Ontario, Canada, pp. 173–178.
15. Knight, N., Still cool.. and American too!’: an SFL analysis of deferred bonds in internet messaging humour. Syst. Funct. Linguist. Odense Working Pap. Lang. Commun. 29 (2008), 481–502.
16. Knight, N., 2010a. Wrinkling complexity: concepts of identity and affiliation in humour. In: Bednarek, M., Martin, J.R. (Eds.). New Discourse on Language: Functional Perspectives on Multimodality, Identity, and Affiliation. Continuum, London; New York, pp. 35–58.
17. Knight, N.K., Laughing Our Bonds Off: Conversational Humour in Relation to Affiliation. Department of Linguistics. 2010, University of Sydney, Sydney.
18. Knight, N.K., Evaluating experience in funny ways: how friends bond through conversational humour. Text Talk 33 (2013), 553–574.
19. Kunneman, F., Liebrecht, C., van Mulken, M., et al. Signaling sarcasm: From hyperbole to hashtag. Inf. Process. Manage. 51 (2015), 500–509.
20. Lachlan, K.A., Spence, P.R., Lin, X., et al. Twitter use during a weather event: comparing content associated with localized and nonlocalized hashtags. Commun. Stud. 65 (2014), 519–534.
21. Lee, C., 2018. Introduction: Discourse of Social Tagging. Discourse, Context Media 22, 1–3.
22. Lee, C., Chau, D., 2018. Language as pride, love, and hate: Archiving emotions through multilingual Instagram hashtags. Discourse, Context Media 22, 21–29.
23. Litt, E., Hargittai, E., 2016. The imagined audience on social network sites. Soc. Media + Soc. 2.
24. Liu, Y., Kliman-Silver, C., Mislove, A., 2014. The tweets they are a-changin’: evolution of twitter users and behavior. In: International AAAI Conference on Weblogs and Social Media (ICWSM). Ann Arbor, MI, June 2014, pp. 55.
25. Ma, Z., Sun, A., Cong, G., 2012. Will this# hashtag be popular tomorrow? In: Proceedings of the 35th International ACM SIGIR Conference on Research and Development in Information Retrieval. ACM, pp. 1173–1174.
26. Martin, J.R., Factoring out exchange: types of structure. Coulthard, M., Cotterill, J., Rock, F., (eds.) Working with Dialogue, 2000, Niemeyer, Tubingen, 19–40.
27. Matley, D., 2018. “This is NOT a #humblebrag, this is just a #brag”: the pragmatics of self-praise, hashtags and politeness in Instagram posts. Discourse, Context Media 22, 30–38.
28. Martin, J.R., White, P.R.R., The Language of Evaluation: Appraisal in English. 2005, Palgrave Macmillan, New York.
29. Marwick, A.E., Boyd, D., I tweet honestly, I tweet passionately: twitter users, context collapse, and the imagined audience. New Media Soc. 13 (2011), 114–133.
30. Mohammad, S.M., Kiritchenko, S., Using hashtags to capture fine emotion categories from tweets. Comput. Intell. 31 (2015), 301–326.
31. Page, R., The linguistics of self-branding and micro-celebrity in Twitter: The role of hashtags. Discourse Commun. 6 (2012), 181–201.
32. Page, R., Barton, D., Unger, J.W., et al. Researching Language and Social Media: A Student Guide. 2014, Routledge, London.
33. Pittman, M., Tefertiller, A.C., 2015. With or without you: connected viewing and co-viewing Twitter activity for traditional appointment and asynchronous broadcast television models. First Monday 20.
34. Popescu, A.-M., Pennacchiotti, M., 2010. Detecting controversial events from twitter. In: Proceedings of the 19th ACM International Conference on Information and Knowledge Management. ACM, pp. 1873–1876.
35. Potts, L., Seitzinger, J., Jones, D., et al., 2011. Tweeting disaster: hashtag constructions and collisions. In: Proceedings of the 29th ACM International Conference on Design of Communication. ACM, pp. 235–240.
36. Sacks, H., Schegloff, E.A., Jefferson, G., A simplest systematics for the organization of turn-taking for conversation. Language 50 (1974), 696–735.
37. Sanderson, J., Barnes, K., Williamson, C., et al. ‘How could anyone have predicted that# AskJameis would go horribly wrong?’: Public relations, social media, and hashtag hijacking. Pub. Relat. Rev. 42 (2015), 31–37.
38. Schlesselman-Tarango, G., Searchable signatures: context and the struggle for recognition. Inform. Technol. Libr. 32 (2013), 5–19.
39. Scott, K., The pragmatics of hashtags: inference and conversational style on Twitter. J. Pragmatics 81 (2015), 8–20.
40. Seargeant, P., Tagg, C., The Language of Social Media: Identity and Community on the Internet. 2014, Palgrave Macmillan, London.
41. Vander Wal, T., 2007. Folksonomy Coinage and Definition. Available at: http://vanderwal.net/folksonomy.html.
42. Wesch, M., Youtube and you: experiences of self-awareness in the context collapse of the recording webcam. Explor. Media Ecol. 8 (2009), 19–34.
43. Wikström, P., # srynotfunny: communicative functions of hashtags on Twitter. SKY J. Linguist. 27 (2014), 127–152.
44. Zappavigna, M., Ambient affiliation: a linguistic perspective on Twitter. New Media Soc. 13 (2011), 788–806.
45. Zappavigna, M., Discourse of Twitter and Social Media. 2012, Continuum, London.
46. Zappavigna, M., Searchable Talk: The Linguistic Functions of Hashtags. Soc. Semiotics 25 (2015), 274–291.
47. Zappavigna, M., in press. Searchable Talk: Hashtags and Social Media Metadiscourse, Bloomsbury, London.
48. Zhu, H., 2016. Searchable talk as discourse practice on the internet: The case of “# bindersfullofwomen”. Discourse Context Media (27 October 2015).