Abstract
Past research has demonstrated intercultural differences in emoticon use with effects of the topic of discourse (e.g. science vs. politics) interacting with the culture of online postings (e.g. UK, Italy, Sweden, Germany). The current research focuses within a discourse, and within a lingua franca for communication and attempts to assess whether emoticon use varies as a function of user-type within the online context. The online context is a web user-forum associated with a software technology company. The user categories are determined by a few orthogonal classifications: employees, novice users, and experts; recipients of kudos vs. non-recipients of kudos; etc. As part of a developing theory of presentation of “professional” selves, and perceptions thereof, we test the hypotheses that kudo recipients deploy markedly fewer negative emoticons than comparison categories and that non-employee experts use markedly more emoticons in general than other categories of forum users. Also interactivity across the different group of users and their correlation with emoticon use was explored.
Keywords
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Bifet, A., Holmes, G., Pfahringer, B.: Moa-tweetreader: real-time analysis in twitter streaming data. In: Elomaa, T., Hollmén, J., Mannila, H. (eds.) DS 2011. LNCS, vol. 6926, pp. 46–60. Springer, Heidelberg (2011), http://dl.acm.org/citation.cfm?id=2050236.2050243
Carstairs-McCarthy, A.: Synonymy avoidance, phonology and the origin of syntax. In: Hurford, J.R., Studdert-Kennedy, M., Knight, C. (eds.) Approaches to the Evolution of Language. Social and Cognitive Bases, pp. 279–296. Cambridge University Press (1998)
Cheng, R., Vassileva, J.: User motivation and persuasion strategy for peer-to-peer communities. In: Proceedings of the 38th Annual Hawaii International Conference on System Sciences, HICSS 2005, vol. 07, p. 193. IEEE Computer Society, Washington, DC (2005), doi:10.1109/HICSS.2005.653
Goffman, E.: The Presentation of Self in Everyday Life. Doubleday, New York (1956)
Janssen, J., Vogel, C.: Politics makes the Swedish:-) and the Italians:-(. In: Proceedings of LREC – EMOT 2008, Sentiment Analysis: Emotion, Metaphor, Ontology and Terminology, pp. 53–61 (2008)
Kucuktunc, O., Cambazoglu, B.B., Weber, I., Ferhatosmanoglu, H.: A large-scale sentiment analysis for Yahoo! answers. In: Proceedings of the Fifth ACM International Conference on Web Search and Data Mining, WSDM 2012, pp. 633–642. ACM, New York (2012), doi:10.1145/2124295.2124371
Read, J.: Using emoticons to reduce dependency in machine learning techniques for sentiment classification. In: Proceedings of the ACL Student Research Workshop, ACLstudent 2005, pp. 43–48. Association for Computational Linguistics, Stroudsburg (2005), http://dl.acm.org/citation.cfm?id=1628960.1628969
Vogel, C., Janssen, J.F.: Emoticonsciousness. In: Esposito, A., Hussain, A., Marinaro, M., Martone, R. (eds.) COST Action 2102. LNCS, vol. 5398, pp. 271–287. Springer, Heidelberg (2009)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer-Verlag Berlin Heidelberg
About this chapter
Cite this chapter
Sanchez, L.M., Vogel, C. (2013). Emoticons Signal Expertise in Technical Web Forums. In: Apolloni, B., Bassis, S., Esposito, A., Morabito, F. (eds) Neural Nets and Surroundings. Smart Innovation, Systems and Technologies, vol 19. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35467-0_41
Download citation
DOI: https://doi.org/10.1007/978-3-642-35467-0_41
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-35466-3
Online ISBN: 978-3-642-35467-0
eBook Packages: EngineeringEngineering (R0)