Article published in:
International Journal of Corpus Linguistics
Vol. 25:1 (2020) ► pp. 62–88

Electronic supplement analysis of multiple texts

Exploring discourses of UK poverty in Below the Line comments

| The Open University
This paper adapts O’Halloran’s (2010) electronic supplement analysis (ESA) to investigate debates about UK poverty in online newspaper articles and reader responses to those articles. While O’Halloran’s method was originally conceived to facilitate close reading, this paper modifies ESA for corpus-based discourse analysis by scaling it up to include multiple texts. I analyse (key-)keywords and concordances to compare seven articles from the Mail Online (2010–2015) with their 2354 reader responses generated using the newspapers’ Below the Line (BTL) comments feature. The analysis provides a snapshot of the discourses BTL commenters draw upon when writing about UK poverty. Unemployment, benefits receipt, and single parenthood were repeatedly referred to in the newspaper articles and their comments, but BTL commenters also drew on personal narratives and (fictional) anecdotes to index notions of flawed consumerism, scroungers, and the deserving and undeserving poor.
Keywords: poverty, BTL comments, electronic supplement analysis (ESA), indexicality, discourse
Published online: 16 April 2020
https://doi.org/10.1075/ijcl.19049.pat
References

References

Baker, P., & Ellece, S.
(2011) Key Terms in Discourse Analysis. New York, NY: Continuum.Google Scholar
Baker, P., & McEnery, T.
(2015) Who benefits when discourse gets democratised? Analysing a Twitter corpus around the British Benefits Street debate. In P. Baker & T. McEnery (Eds.), Corpora and Discourse Studies (pp. 244–265). Basingstoke: Palgrave. CrossrefGoogle Scholar
Bauman, Z.
(2004) Work, Consumerism and the New Poor (2nd edition). Buckingham: Open University Press.Google Scholar
Cassiman, S. A.
(2008) Resisting the neo-liberal poverty discourse: On constructing deadbeat dads and welfare queens. Sociology Compass, 2(5), 1690–1700. CrossrefGoogle Scholar
Derrida, J.
(1976) Of Grammatology (G. C. Spivak, Trans.). Baltimore: Johns Hopkins University Press.Google Scholar
Fairclough, N.
(2001) Language and Power (2nd edition). London: Longman.Google Scholar
Jackson, J.
(2016, March 17). Independent, Mirror, Express and Star Suffer Sharp Fall in Traffic. Guardian. Retrieved from https://​www​.theguardian​.com​/media​/2016​/mar​/17​/independent​-mirror​-express​-and​-star​-suffer​-sharp​-fall​-in​-traffic (last accessed November 2019).
Jewell, J.
(2014, November 7). Love them or hate them, BTL comments have changed journalism forever. The Conversation. Retrieved from https://​theconversation​.com​/love​-them​-or​-hate​-them​-btl​-comments​-have​-changed​-journalism​-forever​-33816 (last accessed November 2019).
Katz, M. B.
(2013) The Undeserving Poor (2nd edition). New York, NY: Oxford University Press.Google Scholar
Kehoe, A., & Gee, M.
(2012) Reader comments as an aboutness indicator in online texts: Introducing the Birmingham Blog Corpus. Varieng, 12. Retrieved from http://​www​.helsinki​.fi​/varieng​/journal​/volumes​/12​/kehoe​_gee/ (last accessed November 2019).
Kiesling, S. F.
(2009) Style as stance. In A. Jaffe (Ed.), Stance: Sociolinguistic Perspectives (pp. 171–194). Oxford: Oxford University Press. CrossrefGoogle Scholar
Levitas, R., Head, E., & Finch, N.
(2006) Lone mothers, poverty and social exclusion. In C. Pantazis, D. Gordon, & R. Levitas (Eds.), Poverty and Social Exclusion in Britain (pp. 405–430). Bristol: The Policy Press.Google Scholar
[ p. 87 ]
Lorenzo-Dus, N., & Marsh, S.
(2012) Bridging the gap: Interdisciplinary insights into the securitization of poverty. Discourse and Society, 23(3), 274–296. CrossrefGoogle Scholar
Lundström, R.
(2013) Framing fraud: Discourse on benefit cheating in Sweden and the UK. European Journal of Communication, 28(6), 630–645. CrossrefGoogle Scholar
McKenzie, L.
(2015) Getting By: Estates, Class and Culture in Austerity Britain. London: Polity. CrossrefGoogle Scholar
O’Halloran, K.
(2010) Critical reading of a text through its electronic supplement. Digital Culture and Education, 2(2), 210–229.Google Scholar
Ochs, E.
(1992) Indexing gender. In A. Duranti & C. Goodwin (Eds.), Rethinking Context: Language as an Interactive Phenomenon (pp. 335–358). Cambridge: Cambridge University Press.Google Scholar
Paterson, L. L., & Gregory, I. N.
(2019) Representations of Poverty and Place. Basingstoke: Palgrave. CrossrefGoogle Scholar
Paterson, L. L., Coffey-Glover, L., & Peplow, D.
(2016) Negotiating stance within discourses of class: Reactions to Benefits Street . Discourse & Society, 27(2), 195–214. CrossrefGoogle Scholar
Rayson, P.
(2008) From key words to key semantic domains. International Journal of Corpus Linguistics, 13(4), 519–549. CrossrefGoogle Scholar
(2009)  Wmatrix: A web-based corpus processing environment [Computer software]. Computing Department, Lancaster University. Available from http://​ucrel​.lancs​.ac​.uk​/wmatrix/ (last accessed November 2019).
Roberts, C.
(2017) The language of ‘welfare dependency’ and ‘benefit cheats’: Internalising and reproducing the hegemonic and discursive rhetoric of ‘benefit scroungers’. In A. Mooney & E. Sifaki (Eds.), The Language of Money and Debt (pp. 189–204). Basingstoke: Palgrave. CrossrefGoogle Scholar
Scott, M.
(1997) PC analysis of key words – and key key words. System, 25(2), 33–245. CrossrefGoogle Scholar
(2012) WordSmith Tools (Version 6) [Computer software]. Stroud: Lexical Analysis Software.Google Scholar
n.d.). Downloading BNC or ANC word lists. Retrieved from https://​lexically​.net​/downloads​/BNC​_wordlists​/downloading%20BNC​.htm (last accessed November 2019).
Skeggs, B.
(1997) Formations of Class and Gender. London: Sage.Google Scholar
Taylor, C.
(2013) Searching for similarity using corpus-assisted discourse studies. Corpora, 8(1), 81–113. CrossrefGoogle Scholar
van der Bom, I., Paterson, L. L., Peplow, D., & Grainger, K.
(2018) ‘It’s not the fact they claim benefits but their useless, lazy, drug taking lifestyles we despise’: Analysing audience responses to Benefits Street using live tweets. Discourse, Context & Media, 21, 36–45. CrossrefGoogle Scholar
Wood, H., & Skeggs, B.
(Eds.) (2011) Reality Television and Class. London: British Film Institute/Palgrave Macmillan.Google Scholar
[ p. 88 ]
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