In:Corpus Approaches to Social Media:
Edited by Sofia Rüdiger and Daria Dayter
[Studies in Corpus Linguistics 98] 2020
► pp. 63–86
Chapter 3Talking about women
Elicitation, manual tagging, and semantic tagging in a study of pick-up artists’ referential strategies
Published online: 4 November 2020
https://doi.org/10.1075/scl.98.03day
https://doi.org/10.1075/scl.98.03day
Abstract
In this chapter, we examine how pick-up artists (PUAs; a male community preoccupied with interacting with women) talk about women in their online discourse. To this end, we take and test three approaches: (1) introspection and elicitation, (2) manual tagging of a small specialized corpus, and (3) automatic semantic tagging and reverse collocation of a large corpus of PUA computer-mediated communication. Instead of misogynistic derogatory references to women, which are only used infrequently, we find that PUAs rely on common references (often condescending or objectifying) and on PUA-specific vocabulary. In terms of method, manual tagging turned out most comprehensive, but automatic semantic tagging allowed for the processing of a far bigger dataset with minimal loss of total types retrieved.
Article outline
- 1.Introduction
- 2.Discourse of pick-up artists through the linguistic lens
- 3.Corpus-based research on reference in discourse
- 4.Data: The online PUA corpora
- 4.1Large e-PUA corpus
- 4.2Field reports (FR) corpus
- 5.Threefold method: Introspection, manual tagging, and automatic methods
- Introspection and elicitation
- Manual tagging
- Automatic annotation
- 6.PUAs speaking about women
- 6.1Findings of the introspection and elicitation round
- 6.2Findings of the manual tagging round
- 6.3Additional findings of the semantic tagging and reverse collocation analysis
- 7.Discussion and conclusion
- 7.1Pick-up artists speaking about women
- 7.2Summary of the three extraction methods
Notes References
References (54)
Anthony, Laurence. 2014. AntConc (3.4.4w) [software]. Tokyo: Waseda University. <[URL]> (23 March 2020).
Archer, Dawn, Wilson, Andrew & Rayson, Paul. 2002. Introduction to the USAS category system. <[URL]> (24 January 2020).
. 2009. The BE06 corpus of British English and recent language change. International Journal of Corpus Linguistics 14(3): 312–337.
. 2010. Representations of Islam in British broadsheet and tabloid newspapers 1999–2005. Language and Politics 9(2): 310–338.
Baker, Paul, Gabrielatos, Costas & McEnery, Tony. 2013. Sketching Muslims: A corpus driven analysis of representations around the word ‘Muslim’ in the British press 1998–2009. Applied Linguistics 34(3): 255–278.
Berger, Cynthia, Friginal, Eric & Roberts, Jennifer. 2017. Representations of immigrants and refugees in U.S. K-12 school-to-home correspondence: An exploratory corpus-assisted discourse study. Corpora 12(2): 153–179.
Biber, Douglas, Connor, Ulla & Upton, Thomas. 2007. Discourse on the Move – Using Corpus Analysis to Describe Discourse Structure [Studies in Corpus Linguistics 28]. Amsterdam: John Benjamins.
Brezina, Vaclav, McEnery, Tony & Wattam, Stephen. 2015. Collocations in context: A new perspective on collocation networks. International Journal of Corpus Linguistics 20(2): 139–173.
Brezina, Vaclav, Timperley, Matt & McEnery, Tony. 2018. #LancsBox v. 4.x [software]. <[URL]> (23 March 2020).
Collins, Luke. 2011. How can semantic annotation help us to analyse the discourse of climate change in online user comments. Linguistik Online 70(1): n.p.
Dayter, Daria & Rüdiger, Sofia. 2016. Reporting from the field: The narrative reconstruction of experience in pick-up artist online communities. Open Linguistics 1(2): 337–351.
. 2019. In other words: ‘The language of attraction’ used by pick-up artists. English Today 35(2): 13–19.
Eckert, Penelope & McConnell-Ginet, Sally. 1992. Think practically and look locally: Language and gender as community-based practice. Annual Review of Anthropology 21: 461–490.
Flowerdew, Lynne. 2013. Corpus-based discourse analysis. In The Routledge Handbook of Discourse Analysis, James Paul Gee & Michael Handford (eds), 174–187. London: Routledge.
Gee, James Paul. 1999. An Introduction to Discourse Analysis – Theory and Method. London: Routledge.
Gordon, David Paul. 1983. Hospital slang for patients: Crocks, gomers, gorks, and others. Language in Society 12: 173–185.
Grazian, David. 2007. The girl hunt: Urban nightlife and the performance of masculinity as collective identity. Symbolic Interaction 30(2): 221–243.
Hall, Stuart (ed.). 1997. Representation – Cultural Representations and Signifying Practices [Culture, Media and Identities 2]. London: Sage in Association with the Open University.
Harrison, Simon, Todd, Zazie & Lawton, Rebecca. 2008. Talk about terrorism and the media: Communicating with the conduit metaphor. Communication, Culture and Critique 1(4): 378–395.
Hartung, Matthias, Klinger, Roman, Schmidtke, Franziska & Vogel, Lars. 2017. Identifying right-wing extremism in German Twitter profiles: A classification approach. In Natural Language Processing and Information Systems – 22nd International Conference on Applications of Natural Language to Information Systems, Flavius Frasincar, Ashwin Ittoo, Le Minh Nguyen & Elisabeth Métais (eds), 320–325. Cham: Springer.
Heinrich, Philipp, Adrian, Christoph, Kalashnikova, Olena, Schäfer, Fabian & Evert, Stefan. 2018. A transnational analysis of news and tweets about nuclear phase-out in the aftermath of the Fukushima incident. In Proceedings of the LREC 2018 “Workshop on Computational Impact Detection from Text Data”, 08 May 2018, Miyazaki, Japan, Andreas Witt, Jana Diesner & Georg Rehm (eds), 8–16.
Heinrich, Philipp & Schäfer, Fabian. 2018. Extending corpus-based discourse analysis for exploring Japanese social media. In Proceedings of 4th Asia Pacific Corpus Linguistics Conference (APCLC2018), Yukio Tono & Hitoshi Isahara (eds), 135–140.
Herring, Susan C. 2004. Computer-mediated discourse analysis: An approach to researching online behavior. In Designing for Virtual Communities in the Service of Learning, Sasha A. Barab, Rob Kling & James H. Gray (eds), 338–376. New York NY: CUP.
Ifukor, Presley. 2010. “Elections” or “selections”? Blogging and twittering the Nigerian 2007 general elections. Bulletin of Science, Technology & Society 30(6): 398–414.
KhosraviNik, Majid. 2010. The representation of refugees, asylum seekers and immigrants in British newspapers. Journal of Language and Politics 9(1): 1–28.
Kim, Kyung H. 2014. Examining US news media discourses about North Korea: A corpus-based critical discourse analysis. Discourse & Society 25(2): 221–244.
Koteyko, Nelya, Nerlich, Brigitte, Crawford, Paul & Wright, Nick. 2008. “Not rocket science” or “no silver bullet”? Media and government discourses about MRSA and cleanliness. Applied Linguistics 29(2): 223–243.
Lave, Jean & Wenger, Étienne. 1991. Situated Learning – Legitimate Peripheral Participation. Cambridge: CUP.
Leuckert, Sven. 2020. Rethinking community in linguistics: Language and community in the Digital Age. In Rethinking Community through Transdisciplinary Research, Bettina Jansen (ed.), 111–125. Houndmills: Palgrave Macmillan.
Love, Robbie & Baker, Paul. 2015. The hate that dare not speak its name? Journal of Language Aggression and Conflict 3(1): 57–86.
Lutzky, Ursula & Lawson, Robert. 2019. Gender politics and discourses of #mansplaining, #manspreading, and #manterruption on Twitter. Social Media + Society.
McGlashan, Mark. 2020. Collective identity and discourse practice in the followership of the Football Lads Alliance on Twitter. Discourse & Society 31(3): 307–328.
Potts, Amanda. 2015. Filtering the flood: Semantic tagging as a method of identifying salient discourse topics in a large corpus of Hurricane Katrina reportage. In Corpora and Discourse Studies – Integrating Discourse and Corpora, Paul Baker & Tony McEnery (eds), 285–304. London: Palgrave MacMillan.
Prentice, Sheryl. 2010. Using automated semantic tagging in critical discourse analysis: A case study on Scottish independence from a Scottish nationalist perspective. Discourse and Society 21(4): 405–437.
Rayson, Paul, Archer, Dawn, Piao, Scott & McEnery, Tony. 2004. The UCREL semantic analysis system. In Proceedings of the Beyond Named Entity Recognition Semantic Labelling for NLP Tasks Workshop, Lisbon, Portugal, 2004, 7–12.
Rayson, Paul. 2008. From key words to key semantic domains. International Journal of Corpus Linguistics 13(4): 519–549.
Rüdiger, Sofia & Dayter, Daria. 2017. The ethics of researching unlikeable subjects. Applied Linguistics Review 8(2–3): 251–269.
. 2020. Manbragging online: Self-praise on pick-up artists’ forums. Journal of Pragmatics 161: 16–27.
Shulman, Stuart. 2011. DiscoverText: Software training to unlock the power of text. dg.o ’11: Proceedings of the 12th Annual International Digital Government Research Conference: Digital Government Innovation in Challenging Times, June 2011, 373.
Sigley, Robert & Holmes, Janet. 2002. Looking at girls in corpora of English. Journal of English Linguistics 30(2): 138–157.
Stommel, Wyke. 2008. Conversation analysis and Community of Practice as approaches to studying online community. Language@Internet 5: n.p. <[URL]> (1 November 2019).
Taboada, Maite. 2016. Sentiment analysis: An overview from linguistics. Annual Review of Linguistics 2: 325–347.
Taylor, Charlotte. 2014. Investigating the representation of migrants in the UK and Italian press: A cross-linguistic corpus-assisted discourse analysis. International Journal of Corpus Linguistics 19(3): 368–400.
Taylor, Charlotte & Marchi, Anna (eds). 2018. Corpus Approaches to Discourse – A Critical Review. London: Routledge.
TextSTAT. 2020. Simple Text Analysis Tool. <[URL]> (22 February 2020).
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