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The Effect of Sociocultural Variables on Sarcasm Communication Online

Published:29 May 2020Publication History
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Abstract

Online social networks (OSN) play an essential role for connecting people and allowing them to communicate online. OSN users share their thoughts, moments, and news with their network. The messages they share online can include sarcastic posts, where the intended meaning expressed by the written text is different from the literal one. This could result in miscommunication. Previous research in psycholinguistics has studied the sociocultural factors the might lead to sarcasm misunderstanding between speakers and listeners. However, there is a lack of such studies in the context of OSN. In this paper we fill this gap by performing a quantitative analysis on the influence of sociocultural variables, including gender, age, country, and English language nativeness, on the effectiveness of sarcastic communication online. We collect examples of sarcastic tweets directly from the authors who posted them. Further, we ask third-party annotators of different sociocultural backgrounds to label these tweets for sarcasm. Our analysis indicates that age, English language nativeness, and country are significantly influential and should be considered in the design of future social analysis tools that either study sarcasm directly, or look at related phenomena where sarcasm may have an influence. We also make observations about the social ecology surrounding sarcastic exchanges on OSNs. We conclude by suggesting ways in which our findings can be included in future work.

References

  1. David J Amante. 1981. The theory of ironic speech acts. Poetics Today, Vol. 2, 2 (1981), 77--96.Google ScholarGoogle ScholarCross RefCross Ref
  2. John Langshaw Austin. 1962. How to do things with words. Vol. 88. Oxford University Press, Oxford, UK.Google ScholarGoogle Scholar
  3. Lawrence F. Bouton. 1988. A cross-cultural study of ability to interpret implicatures in English. World Englishes, Vol. 7, 2 (1988), 183--196.Google ScholarGoogle ScholarCross RefCross Ref
  4. Lawrence F Bouton. 1992. The Interpretation of Implicature in English by NNS: Does It Come Automatically--Without Being Explicitly Taught? Pragmatics and language learning, Vol. 3 (1992), 53--65.Google ScholarGoogle Scholar
  5. Erin E. Buckels, Paul D. Trapnell, and Delroy L. Paulhus. 2014. Trolls just want to have fun. Personality and Individual Differences, Vol. 67 (2014), 97--102.Google ScholarGoogle ScholarCross RefCross Ref
  6. John D Campbell and Albert N Katz. 2012. Are there necessary conditions for inducing a sense of sarcastic irony? Discourse Processes, Vol. 49, 6 (2012), 459--480.Google ScholarGoogle ScholarCross RefCross Ref
  7. Benjamin Paul Chamberlain, Clive Humby, and Marc Peter Deisenroth. 2017. Probabilistic inference of twitter users' age based on what they follow. In Joint European Conference on Machine Learning and Knowledge Discovery in Databases. Springer International Publishing, Skopje, Macedonia, 191--203.Google ScholarGoogle ScholarCross RefCross Ref
  8. Justin Cheng, Michael Bernstein, Cristian Danescu-Niculescu-Mizil, and Jure Leskovec. 2017. Anyone Can Become a Troll: Causes of Trolling Behavior in Online Discussions. In CSCW. Association for Computing Machinery, Portland, OR, USA, 1217----1230.Google ScholarGoogle Scholar
  9. Herbert H. Clark and Richard J. Gerrig. 1984 a. On the pretense theory of irony. Journal of Experimental Psychology: General, Vol. 113, 1 (1984), 121--126.Google ScholarGoogle ScholarCross RefCross Ref
  10. Herbert H. Clark and Richard J. Gerrig. 1984 b. On the pretense theory of irony. Journal of Experimental Psychology: General, Vol. 113, 1 (1984), 121--126.Google ScholarGoogle ScholarCross RefCross Ref
  11. Reuben Cohn-Gordon and Leon Bergen. 2019. Verbal Irony, Pretense, and the Common Ground. (2019). https://ling.auf.net/lingbuzz/004577Google ScholarGoogle Scholar
  12. Herbert L Colston. 2000. On necessary conditions for verbal irony comprehension. Pragmatics & Cognition, Vol. 8, 2 (2000), 277--324.Google ScholarGoogle ScholarCross RefCross Ref
  13. Naomi Craker and Evita March. 2016. The dark side of Facebook®: The Dark Tetrad, negative social potency, and trolling behaviours. Personality and Individual Differences, Vol. 102 (2016), 79--84.Google ScholarGoogle ScholarCross RefCross Ref
  14. Erik H Erikson. 1994. Identity and the life cycle .W.W. Norton & Company, New York, NY, USA.Google ScholarGoogle Scholar
  15. Nick Feltovich, Richmond Harbaugh, and Ted To. 2002. Too cool for school? Signalling and countersignalling. RAND Journal of Economics, Vol. 33, 4 (2002), 630--649.Google ScholarGoogle ScholarCross RefCross Ref
  16. Ellen P Francik and Herbert H Clark. 1985. How to make requests that overcome obstacles to compliance. Journal of Memory and Language, Vol. 24, 5 (1985), 560--568.Google ScholarGoogle ScholarCross RefCross Ref
  17. Pral Fugelli, Leif C. Lahn, and Anders I. Mørch. 2013. Shared Prolepsis and Intersubjectivity in Open Source Development: Expansive Grounding in Distributed Work. In CSCW. Association for Computing Machinery, San Antonio, TX, USA, 129----144.Google ScholarGoogle Scholar
  18. Ge Gao, Sun Young Hwang, Gabriel Culbertson, Susan R. Fussell, and Malte F. Jung. 2017. Beyond Information Content: The Effects of Culture on Affective Grounding in Instant Messaging Conversations. PACMHCI 1 (CSCW), Vol. 1 (2017), 18.Google ScholarGoogle Scholar
  19. Raymond W. Gibbs. 2000. Irony in Talk Among Friends. Metaphor and Symbol, Vol. 15, 1--2 (2000), 5--27.Google ScholarGoogle ScholarCross RefCross Ref
  20. H. P. Grice. 1975. Logic and Conversation. In Syntax and Semantics: Vol. 3: Speech Acts, Peter Cole and Jerry L. Morgan (Eds.). Academic Press, Cambridge, UK, 41--58.Google ScholarGoogle Scholar
  21. M Harris, S Ivanko, S Jungen, S Hala, and P Pexman. 2001. You're really nice: Children's understanding of sarcasm and personality traits. (2001). Poster presented at the second biennial meeting of the Cognitive Development Society, Virginia Beach, VA, USA.Google ScholarGoogle Scholar
  22. Gail D. Heyman and Susan A. Gelman. 1999. The Use of Trait Labels in Making Psychological Inferences. Child Development, Vol. 70, 3 (1999), 604--619.Google ScholarGoogle ScholarCross RefCross Ref
  23. Stacey L Ivanko, Penny M Pexman, and Kara M Olineck. 2004. How Sarcastic Are You?: Individual Differences and Verbal Irony. Journal of Language and Social Psychology, Vol. 23, 3 (2004), 244--271.Google ScholarGoogle ScholarCross RefCross Ref
  24. Julia Jorgensen. 1996 a. The functions of sarcastic irony in speech. Journal of Pragmatics, Vol. 26, 5 (1996), 613 -- 634.Google ScholarGoogle ScholarCross RefCross Ref
  25. Julia Jorgensen. 1996 b. The functions of sarcastic irony in speech. Journal of Pragmatics, Vol. 26, 5 (1996), 613 -- 634.Google ScholarGoogle ScholarCross RefCross Ref
  26. Aditya Joshi, Pushpak Bhattacharyya, Mark Carman, Jaya Saraswati, and Rajita Shukla. 2016a. How Do Cultural Differences Impact the Quality of Sarcasm Annotation?: A Case Study of Indian Annotators and American Text. In SIGHUM. ACL, Berlin, Germany, 95--99.Google ScholarGoogle Scholar
  27. Aditya Joshi, Pushpak Bhattacharyya, and Mark J. Carman. 2017. Automatic Sarcasm Detection: A Survey. Comput. Surveys, Vol. 50, 5 (2017), 22.Google ScholarGoogle ScholarDigital LibraryDigital Library
  28. Aditya Joshi, Vaibhav Tripathi, Kevin Patel, Pushpak Bhattacharyya, and Mark Carman. 2016b. Are Word Embedding-based Features Useful for Sarcasm Detection?. In EMNLP. ACL, Austin, Texas, USA, 1006--1011.Google ScholarGoogle Scholar
  29. A Katz, I Piasecka, and M Toplak. 2001. Comprehending the sarcastic comments of males and females. (2001). Poster presented at the 42nd annual meeting of the Psychonomic Society.Google ScholarGoogle Scholar
  30. Albert N. Katz and Penny M. Pexman. 1997. Interpreting Figurative Statements: Speaker Occupation Can Change Metaphor to Irony. Metaphor and Symbol, Vol. 12, 1 (1997), 19--41.Google ScholarGoogle ScholarCross RefCross Ref
  31. Roger J. Kreuz and Sam Glucksberg. 1989. How to Be Sarcastic: The Echoic Reminder Theory of Verbal Irony. Journal of Experimental Psychology: General, Vol. 118, 4 (1989), 374--386.Google ScholarGoogle Scholar
  32. Quoc Le and Tomas Mikolov. 2014. Distributed representations of sentences and documents. In ICML. JMLR, Beijing, China, 1188--1196.Google ScholarGoogle Scholar
  33. Pengfei Li, Hua Lu, Nattiya Kanhabua, Sha Zhao, and Gang Pan. 2018. Location inference for non-geotagged tweets in user timelines. IEEE Transactions on Knowledge and Data Engineering, Vol. 31, 6 (2018), 1150--1165.Google ScholarGoogle ScholarCross RefCross Ref
  34. Jakub Mácha. 2012. Searle on Metaphor. Organon F, Vol. 19 (2012), 186--197.Google ScholarGoogle Scholar
  35. Diana Maynard and Mark Greenwood. 2014. Who cares about Sarcastic Tweets? Investigating the Impact of Sarcasm on Sentiment Analysis.. In LREC. ELRA, Reykjavik, Iceland, 4238--4243.Google ScholarGoogle Scholar
  36. Walaa Medhat, Ahmed Hassan, and Hoda Korashy. 2014. Sentiment analysis algorithms and applications: A survey. Ain Shams engineering journal, Vol. 5, 4 (2014), 1093--1113.Google ScholarGoogle ScholarCross RefCross Ref
  37. Lesley Milroy. 2000. Britain and the United States: Two Nations Divided by the Same Language (and Different Language Ideologies). Journal of Linguistic Anthropology, Vol. 10, 1 (2000), 56--89.Google ScholarGoogle ScholarCross RefCross Ref
  38. Eric W Noreen. 1989. Computer-intensive methods for testing hypotheses .Wiley, New York, NY, USA.Google ScholarGoogle Scholar
  39. Silviu Oprea and Walid Magdy. 2019. Exploring Author Context for Detecting Intended vs Perceived Sarcasm. In ACL. ACL, Florence, Italy, 2854--2859.Google ScholarGoogle Scholar
  40. Silviu Oprea and Walid Magdy. 2020. iSarcasm: A Dataset of Intended Sarcasm. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics. Association for Computational Linguistics.Google ScholarGoogle ScholarCross RefCross Ref
  41. Penny M Pexman. 2005. Social Factors in the Interpretation of Verbal Irony: The Roles of Speaker and Listener Characteristics., 209--232 pages.Google ScholarGoogle Scholar
  42. Penny M. Pexman, Todd R. Ferretti, and Albert N. Katz. 2000. Discourse Factors That Influence Online Reading of Metaphor and Irony. Discourse Processes, Vol. 29, 3 (2000), 201--222.Google ScholarGoogle ScholarCross RefCross Ref
  43. Penny M. Pexman and Kara M. Olineck. 2002. Understanding Irony: How Do Stereotypes Cue Speaker Intent? Journal of Language and Social Psychology, Vol. 21, 3 (2002), 245--274.Google ScholarGoogle ScholarCross RefCross Ref
  44. Penny M Pexman and Meghan T Zvaigzne. 2004. Does Irony Go Better With Friends? Metaphor and Symbol, Vol. 19, 2 (2004), 143--163.Google ScholarGoogle ScholarCross RefCross Ref
  45. Ellen Riloff, Ashequl Qadir, Prafulla Surve, Lalindra De Silva, Nathan Gilbert, and Ruihong Huang. 2013. Sarcasm as Contrast between a Positive Sentiment and Negative Situation. In EMNLP. ACL, Seattle, Washington, USA, 704--714.Google ScholarGoogle Scholar
  46. Patricia Rockwell and Evelyn M. Theriot. 2001. Culture, gender, and gender mix in encoders of sarcasm: A self-assessment analysis. Communication Research Reports, Vol. 18, 1 (2001), 44--52.Google ScholarGoogle Scholar
  47. Mohsen Sayyadiharikandeh, Giovanni Luca Ciampaglia, and Alessandro Flammini. 2016. Cross-domain Gender Detection in Twitter. In Proceedings of the Workshop on Computational Approaches to Social Modeling. SocInfo, Bellevue, WA, USA.Google ScholarGoogle Scholar
  48. Michael F. Schober and Herbert H. Clark. 1989. Understanding by addressees and overhearers. Cognitive Psychology, Vol. 21 (1989), 211--232.Google ScholarGoogle ScholarCross RefCross Ref
  49. John R Searle. 1975. Indirect speech acts. In Speech acts. Brill, Leiden, Netherlands, 59--82.Google ScholarGoogle Scholar
  50. John R Searle and John Rogers Searle. 1969. Speech acts: An essay in the philosophy of language. Vol. 626. Cambridge University Press, Cambridge, UK.Google ScholarGoogle Scholar
  51. Marina Sokolova and Guy Lapalme. 2009. A systematic analysis of performance measures for classification tasks. Information Processing & Management, Vol. 45, 4 (2009), 427--437.Google ScholarGoogle ScholarDigital LibraryDigital Library
  52. Dan Sperber and Deirdre Wilson. 1981. Irony and the use-mention distinction. Philosophy, Vol. 3 (1981), 143--184.Google ScholarGoogle Scholar
  53. Dan Sperber and Deirdre Wilson. 1986. Relevance: Communication and Cognition .Harvard University Press, Cambridge, MA, USA.Google ScholarGoogle ScholarDigital LibraryDigital Library
  54. Yi Tay, Anh Tuan Luu, Siu Cheung Hui, and Jian Su. 2018. Reasoning with Sarcasm by Reading In-Between. In ACL. ACL, Melbourne, Australia, 1010--1020.Google ScholarGoogle ScholarDigital LibraryDigital Library
  55. Charlotte Taylor. 2016. Women are bitchy but men are sarcastic? Investigating gender and sarcasm. Gender and Language, Vol. 11, 3 (2016), 30.Google ScholarGoogle ScholarCross RefCross Ref
  56. Akira Utsumi. 2000. Verbal irony as implicit display of ironic environment: Distinguishing ironic utterances from nonirony. Journal of Pragmatics, Vol. 32, 12 (2000), 1777--1806.Google ScholarGoogle ScholarCross RefCross Ref
  57. Deirdre Wilson. 2006. The pragmatics of verbal irony: Echo or pretence? Lingua, Vol. 116, 10 (2006), 1722--1743.Google ScholarGoogle ScholarCross RefCross Ref
  58. Alexander Yeh. 2000. More Accurate Tests for the Statistical Significance of Result Differences. In COLING. ACL, Saarbrücken, Germany, 947--953.Google ScholarGoogle ScholarDigital LibraryDigital Library

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