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References

Published online by Cambridge University Press:  08 June 2023

Luke Collins  and
Paul Baker
Luke Collins
Affiliation:
Lancaster University
Paul Baker
Affiliation:
Lancaster University
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Language, Discourse and Anxiety , pp. 242 - 258
Publisher: Cambridge University Press
Print publication year: 2023

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References

16 Personalities (2022). World Personality Map. www.16personalities.com/country-profiles/global/world#globalGoogle Scholar
Adolphs, S., Brown, B., Carter, R., Crawford, P. and Sahota, O. (2004). Applied clinical linguistics: Corpus linguistics in health care settings. Journal of Applied Linguistics, 1(1), 9-28. https://doi.org/10.1558/japl.v1.i1.9CrossRefGoogle Scholar
Aijmer, K. (2014). Conversational Routines in English: Convention and Creativity, 2nd ed. Routledge.CrossRefGoogle Scholar
Al-Mosaiwi, M. and Johnstone, T. (2018). In an absolute state: Elevated use of absolutist words is a marker specific to anxiety, depression, and suicidal ideation. Clinical Psychological Science, 6, 529–542. https://doi.org/10.1177/2167702617747074Google Scholar
Alonso, J., Buron, A., Rojas-Farreras, S., de Graaf, R., Haro, J. M., de Girolamo, G., Bruffaerts, R., Kovess, V., Matschinger, H. and Vilagut, G. (2009) Perceived stigma among individuals with common mental disorders. Journal of Affective Disorders, 118(1–3), 180–186. https://doi.org/10.1016/j.jad.2009.02.006Google Scholar
Alonso, J., Lepine, J. P. and the ESEMeD/MHEDEA 2000 Scientific Committee. (2007). Overview of key data from the European Study of the Epidemiology of Mental Disorders (ESEMeD). The Journal of Clinical Psychiatry, 68(suppl2), 3–9.Google ScholarPubMed
American College Health Association. (2018). National College Health Assessment II: Reference Group Executive Summary Fall 2018. www.acha.org/documents/ncha/NCHA-II_Fall_2018_Reference_Group_Executive_Summary.pdfGoogle Scholar
American Psychiatric Association (APA). (2013). Diagnostic and Statistical Manual of Mental Disorders: DSM-5TM, 5th ed. American Psychiatric Publishing.Google Scholar
Anderson, B. (1983). Imagined Communities. Verso.Google Scholar
Archer, C., MacNeill, S. J., Mars, B., Turner, K., Kessler, D. and Wiles, N. (2022). Rise in prescribing for anxiety in UK primary care between 2003 and 2018: A population-based cohort study using Clinical Practice Research Datalink. British Journal of General Practice 72(720), e511–e518. https://doi.org/10.3399/BJGP.2021.0561Google Scholar
Armstrong, N., Koteyko, N. and Powell, J. (2012). ‘Oh dear, should I really be saying that on here?’: Issues of identity and authority in an online diabetes community. Health, 16(4), 347–365. https://doi.org/10.1177%2F1363459311425514CrossRefGoogle Scholar
A-Tjak, J. G., Davis, M. L., Morina, N., Powers, M. B., Smits, J. A. and Emmelkamp, P. M. (2015). A meta-analysis of the efficacy of acceptance and commitment therapy for clinically relevant mental and physical health problems. Psychotherapy and Psychosomatics, 84(1), 30–36. https://doi.org/10.1159/000365764CrossRefGoogle ScholarPubMed
Atkins, S. and Harvey, K. (2010). How to use corpus linguistics in the study of health communication. In McCarthy, M. and O’Keeffe, A. (eds.) The Routledge Handbook of Corpus Linguistics (pp. 605–619). Routledge.Google Scholar
Bach, R. L. and Wenz, A. (2020). Studying health-related internet and mobile device use using web logs and smartphone records. PLoS ONE, 15(6), e0234663. https://doi.org/10.1371/journal.pone.0234663CrossRefGoogle ScholarPubMed
Baker, P. (2017). American and British English: Divided by a Common Language. Cambridge University Press.Google Scholar
Baker, P. and Brookes, G. (2022). Analysing Language, Sex and Age in a Corpus of Patient Feedback: A Comparison of Approaches. Cambridge University Press.CrossRefGoogle Scholar
Baker, P., Brookes, G. and Evans, C. (2019). The Language of Patient Feedback: A Corpus Linguistic Study of Online Health Communication. Routledge.Google Scholar
Baker, P., Gabrielatos, C. and McEnery, T. (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. https://doi.org/10.1093/applin/ams048CrossRefGoogle Scholar
Bandelow, B., Michaelis, S. and Wedekind, D. (2017). Treatment of anxiety disorders. Dialogues in Clinical Neuroscience, 19(2), 93–107. https://dx.doi.org/10.31887%2FDCNS.2017.19.2%2FbbandelowGoogle Scholar
Barlow, D. H. (2000). Unraveling the mysteries of anxiety and its disorders from the perspective of emotion theory. American Psychologist, 55(11), 1247–1263. https://doi.org/10.1037//0003-066x.55.11.1247Google Scholar
Baron, A. and Rayson, P. (2008). VARD2: A tool for dealing with spelling variation in historical corpora. Paper presented at Postgraduate Conference in Corpus Linguistics, Aston University, Birmingham. www.research.lancs.ac.uk/portal/services/downloadRegister/463187/BaronRaysonAston2008.pdfGoogle Scholar
Bates, C. F. (2021). Mitigation in discourse: Social, cognitive and affective motivations when exchanging advice. Journal of Pragmatics, 173, 119–133. https://doi.org/10.1016/j.pragma.2020.12.008Google Scholar
Baumgartner, S. E. and Hartmann, T. (2011). The role of health anxiety in online health information search. Cyberpsychology, Behavior and Social Networking, 14(10), 613–618. https://doi.org/10.1089/cyber.2010.0425CrossRefGoogle ScholarPubMed
BBC Radio. (1958). These Foolish Things, broadcast 14 July. www.bbc.co.uk/archive/these-foolish-things/zmcvmfrGoogle Scholar
Bednarek, M. and Caple, H. (2017). The Discourse of News Values: How News Organizations Create Newsworthiness. Oxford University Press.CrossRefGoogle Scholar
Biber, D. (1995). Dimensions of Register Variation: A Cross-Linguistic Comparison. Cambridge University Press.CrossRefGoogle Scholar
Biber, D. (2009). A corpus-driven approach to formulaic language in English multi-word patterns in speech and writing. International Journal of Corpus Linguistics, 14(3), 275–311. https://doi.org/10.1075/ijcl.14.3.08bibGoogle Scholar
Biber, D. and Egbert, J. (2018). Register Variation Online. Cambridge University Press.CrossRefGoogle Scholar
Biber, D., Egbert, J., Keller, D. and Wizner, S. (2021). Towards a taxonomy of conversational discourse types: An empirical corpus-based analysis. Journal of Pragmatics, 171, 20–35. https://doi.org/10.1016/j.pragma.2020.09.018CrossRefGoogle Scholar
Bieswanger, M. (2013). Micro-linguistic structural features of computer-mediated communication. In Herring, S., Stein, D. and Virtanen, T. (eds.) Pragmatics of Computer-Mediated Communication (pp. 463–486). De Gruyter.Google Scholar
Bieswanger, M. (2016). Electronically-mediated Englishes: Synchronicity revisited. In Squires, L. (ed.) English in Computer-Mediated Communication (pp. 281–300). De Gruyter.Google Scholar
Bieswanger, M. and Intemann, F. (2011). Patterns and variation in the language use in English-based discussion forums. In Luginbühl, M. and Perrin, D. (eds.) Muster und Variation: Medienlinguistische Perspektiven auf Textproduktion und Text (pp. 157–187). Peter Lang.Google Scholar
Black, L. (2008). Listening to the city: Difference, identity, and storytelling in online deliberative groups. Journal of Public Deliberation, 5(1), article 4, 1–35. https://doi.org/10.16997/jdd.76Google Scholar
Blumberg, Y. (2019). Here’s why many prescription drugs in the US cost so much – and it’s not innovation or improvement. CNBC. www.cnbc.com/2019/01/10/why-prescription-drugs-in-the-us-cost-so-much.htmlGoogle Scholar
Bouman, W. P., Claes, L., Brewin, N., Crawford, J. R., Millet, N., Fernandez-Aranda, F. and Arcelus, J. (2017). Transgender and anxiety: A comparative study between transgender people and the general population. International Journal of Transgenderism, 18(1), 16–26. https://doi.org/10.1080/15532739.2016.1258352Google Scholar
Bourke, J. (2005). Fear: A Cultural History. Virago Press.Google Scholar
Bowen, R. C., Offord, D. R. and Boyle, M. H. (1990). The prevalence of overanxious disorder and separation anxiety disorder: Results from the Ontario Child Health Study. Journal of the American Academy of Child and Adolescent Psychiatry, 29(5), 753–758. https://doi.org/10.1097/00004583-199009000-00013Google Scholar
Brookes, G. (2020). Corpus linguistics in illness and healthcare contexts: A case study of diabulimia support groups. In Demjén, Z. (ed.) Applying Linguistics in Illness and Healthcare Contexts (pp. 44–72). Bloomsbury.Google Scholar
Brookes, G. and Baker, P. (2021). Obesity in the News: Language and Representation in the Press. Cambridge University Press.CrossRefGoogle Scholar
Brookes, G. and McEnery, T. (2020). Corpus linguistics. In Adolphs, S. and Knight, D. (eds.) The Routledge Handbook of English Language and Digital Humanities (pp. 378–404). Routledge.Google Scholar
Brownhill, S., Wilhelm, K., Barclay, L. and Schmeid, V. (2005). ‘Big build’: Hidden depression in men. Australian and New Zealand Journal of Psychiatry, 39, 921–931. https://doi.org/10.1080/j.1440-1614.2005.01665Google Scholar
Capps, L. and Ochs, E. (1997). Constructing Panic: The Discourse of Agoraphobia. Harvard University Press.Google Scholar
Carpenter, J. K., Andrews, L. A., Witcraft, S. M., Powers, M. B., Smits, J. and Hofmann, S. G. (2018). Cognitive behavioral therapy for anxiety and related disorders: A meta-analysis of randomized placebo-controlled trials. Depression and Anxiety, 35(6), 502–514. https://doi.org/10.1002/da.22728CrossRefGoogle ScholarPubMed
Centres for Disease Control and Prevention. (2022). Men and heart disease. www.cdc.gov/heartdisease/men.htmGoogle Scholar
Chan, S. M., Chan, S. K. and Kwok, W. W. (2015). Ruminative and catastrophizing cognitive styles mediate the association between daily hassles and high anxiety in Hong Kong adolescents. Child Psychiatry and Human Development, 46, 57–66. https://doi.org/10.1007/s10578-014-0451-9CrossRefGoogle ScholarPubMed
Charteris-Black, J. (2012). Shattering the Bell Jar: Metaphor, gender, and depression. Metaphor and Symbol, 27(3), 199–216. https://doi.org/10.1080/10926488.2012.665796Google Scholar
Chen, F., Chen, R. P. and Yang, L. (2019). When sadness comes alive, will it be less painful? The effects of anthropomorphic thinking on sadness regulation and consumption. Journal of Consumer Psychology, 30(2), 277–295. https://doi.org/10.1002/jcpy.1137Google Scholar
Childs, E., Lutz, J. A. and de Wit, H. (2017). Dose-related effects of delta-9-THC on emotional responses to acute psychosocial stress. Drug and Alcohol Dependence, 177, 136–144. https://doi.org/10.1016/j.drugalcdep.2017.03.030CrossRefGoogle ScholarPubMed
Chou, W. Y., Prestin, A., Lyons, C. and Wen, K. Y. (2013). Web 2.0 for health promotion: Reviewing the current evidence. American Journal of Public Health, 103(1), e9–e18. https://doi.org/10.2105/AJPH.2012.301071Google Scholar
Clark, L. H., Hudson, J. L., Dunstan, D. A. and Clark, G. I. (2018). Barriers and facilitating factors to help-seeking for symptoms of clinical anxiety in adolescent males. Australian Journal of Psychology, 70(3), 225–234. https://doi.org/10.1111/ajpy.12191Google Scholar
Collins, L. C. (2019). Corpus Linguistics for Online Communication. Routledge.Google Scholar
Conrad, P. (2007). The Medicalization of Society. John Hopkins University Press.Google Scholar
Conway, M., Hu, M. and Chapman, W. W. (2019). Recent advances in using natural language processing to address public health research questions using social media and consumer generated data. Yearbook of Medical Informatics, 28(1), 208–217. https://doi.org/10.1055/s-0039-1677918Google Scholar
Coplan, J. D., Aaronson, C. A., Panthangi, V. and Kim, Y. (2015). Treating comorbid anxiety and depression: Psychosocial and pharmacological approaches. World Journal of Psychiatry, 5(4), 366–378. http://dx.doi.org/10.5498/wjp.v5.i4.366Google Scholar
Courtenay, W. H. (2000). Constructions of masculinity and their influence on men’s well-being: A theory of gender and health. Social Science and Medicine, 50(10), 1385–1401. https://doi.org/10.1016/s0277-9536(99)00390-1Google Scholar
Craig, T. K. J., Rus-Calafell, M., Ward, T., Leff, J. P., Huckvale, M., Howarth, E., Emsley, R. and Garety, P. A. (2018). AVATAR therapy for auditory verbal hallucinations in people with psychosis: A single-blind, randomised control trial. The Lancet Psychiatry, 5(1), 31–40. https://doi.org/10.1016/S2215-0366(17)30427-3Google Scholar
Craske, M. G. (2003). The Origins of Phobias and Anxiety Disorders: Why More Women Than Men. Elsevier Science.Google Scholar
Crocq, M.-A. (2015). A history of anxiety: From Hippocrates to DSM. Dialogues in Clinical Neuroscience, 17(3), 319–325. https://dx.doi.org/10.31887%2FDCNS.2015.17.3%2FmacrocqGoogle Scholar
Crystal, D. (2001). Language and the Internet. Cambridge University Press.CrossRefGoogle Scholar
Data Commons. (2022). United Kingdom. https://datacommons.org/place/country/GBR?utm_medium=explore&mprop=count&popt=Person&cpv=isInternetUser%2CTrue&hl=enGoogle Scholar
Dattani, S., Ritchie, H. and Roser, M. (2021). Mental Health. Our World In Data. https://ourworldindata.org/mental-health.Google Scholar
Demmen, J. E., Semino, E., Demjén, Z., Koller, V., Hardie, A., Rayson, P. and Payne, S. (2015). A computer-assisted study of the use of violence metaphors for cancer and end of life by patients, family carers and health professionals. International Journal of Corpus Linguistics, 20(2), 205–231. https://doi.org/10.1075/ijcl.20.2.03demGoogle Scholar
Dilmitis, S., Edwards, O., Hull, B., Margolese, S., Mason, N., Namiba, A., Nyambe, M., Paxton, S., Petretti, S., Ross, G. V., Welbourn, A. and Zakowics, A. (2012). Language, identity and HIV: Why do we keep talking about the responsible and responsive use of language? Language matters. Journal of the International AIDS Society, 15(Suppl 2), 17990. https://doi.org/10.7448/IAS.15.4.17990Google Scholar
Dold, M., Bartova, L., Souery, D., Mendlewicz, J., Serretti, A., Porcelli, S., Zohar, J., Montgomery, S. and Kasper, S. (2017). Clinical characteristics and treatment outcomes of patients with major depressive disorder and comorbid anxiety disorders – results from a European multicenter study. Journal of Psychiatric Research, 91, 1–13. https://doi.org/10.1016/j.jpsychires.2017.02.020Google Scholar
Domhardt, M., Geßlein, H., von Rezori, R. E. and Baumeister, H. (2019). Internet- and mobile-based interventions for anxiety disorders: A meta-analytic review of intervention components. Depression and Anxiety, 36(3), 213–224. https://doi.org/10.1002/da.22860Google Scholar
Dresner, E. and Herring, S. C. (2010). Functions of the non-verbal in CMC: Emoticons and illocutionary force. Communication Theory, 20(3), 249–268. https://doi.org/10.1111/j.1468-2885.2010.01362.xGoogle Scholar
Dunning, T. (1993). Accurate methods for the statistics of surprise and coincidence. Computational Linguistics, 19(1), 61–74. https://dl.acm.org/doi/10.5555/972450.972454Google Scholar
Egbert, J., Wizner, S., Keller, D., Biber, D., McEnery, T. and Baker, P. (2021). Identifying and describing functional discourse units in the BNC Spoken 2014. Text & Talk, 41(5–6), 715–737. https://doi.org/10.1515/text-2020-0053Google Scholar
Eichhorn, K. C. (2008). Soliciting and providing social support over the Internet: An investigation of online eating disorder support groups. Journal of Computer-Mediated Communication, 14(1), 67–78. https://doi.org/10.1111/j.1083-6101.2008.01431.xCrossRefGoogle Scholar
Elfein, J. (2021). Marijuana use among U.S. adults within the past year 2018–2019 by state. Statista. www.statista.com/statistics/723822/cannabis-use-within-one-year-us-adults/.Google Scholar
Elgesem, D. (2015). Consent and information – ethical considerations when conducting research on social media. In Fossheim, H. and Ingierd, H. (eds.) Internet Research Ethics (pp. 14–34). Cappelen Damm Akademisk.Google Scholar
Elhai, J. D., Yang, H., Fang, J., Bai, X. and Hall, B. J. (2020). Depression and anxiety symptoms are related to problematic smartphone use severity in Chinese young adults: Fear of missing out as a mediator. Addictive Behaviors, 101, 105962. https://doi.org/10.1016/j.addbeh.2019.04.020Google Scholar
Elwyn, G., Frosch, D., Volandes, A. E., Edwards, A. and Montori, V. M. (2010). Investing in deliberation: A definition and classification of decision support interventions for people facing difficult health decisions. Medical Decision Making, 30(6), 701–711. https://doi.org/10.1177%2F0272989X10386231CrossRefGoogle ScholarPubMed
Engel, P. (2014). Map: Here’s where you should move if you want the most sunshine. Business Insider. 2 June. www.businessinsider.com/map-here-are-the-parts-of-the-us-that-get-the-most-sunshine-2014-6?r=US&IR=TGoogle Scholar
European Commission. (2019). Discrimination in the European Union. Eurobarometer. https://europa.eu/eurobarometer/surveys/detail/2251.Google Scholar
Eysenbach, G., Powell, J., Englesakis, M., Rizo, C. and Stern, A. (2004). Health related virtual communities and electronic support groups: Systematic review of the effects of online peer to peer interactions. BMJ, 328,1166. https://doi.org/10.1136/bmj.328.7449.1166CrossRefGoogle ScholarPubMed
Firth, J. (1968). A Synopsis of Linguistic Theory, 1930–55. In Palmer, F. R. (ed.) Selected Papers of J. R. Firth (1952–59) (pp. 168–205). Longmans.Google Scholar
Fox, K. (2004). Watching the English. Hodder and Stoughton.Google Scholar
Fox, S. and Duggan, M. (2013). Health online 2013. Pew Research Center. http://pewintemet.org/Reports/2013/Health-online.aspxGoogle Scholar
Frehner, C. (2008). Email – SMS – MMS: The Linguistic Creativity of Asynchronous Discourse in the New Media Age. Peter Lang.Google Scholar
Fu, E. L. F., van Aalst, J. and Chan, C. K. K. (2016). Toward a classification of discourse patterns in asynchronous online discussions. International Journal of Computer-Supported Collaborative Learning, 11, 441–478. https://doi.org/10.1007/s11412-016-9245-3Google Scholar
Gablasova, D., Brezina, V. and McEnery, T. (2017). Collocations in corpus-based language learning research: Identifying, comparing, and interpreting the evidence. Language Learning, 67(S1), 155–179. https://doi.org/10.1111/lang.12225Google Scholar
Gabrielatos, C. (2018). Keyness analysis: Nature, metrics and techniques. In Taylor, C. and Marchi, A. (eds.) Corpus Approaches to Discourse: A Critical Review (pp. 225–258). Routledge.Google Scholar
Galasiński, D. and Ziółkowska, J. (2020). A moment outside time: A critical discourse analytic perspective on dominant constructions of suicide. In Demjén, Z. (ed.) Applying Linguistics in Illness and Healthcare Contexts (pp. 349–371). Bloomsbury. http://dx.doi.org/10.5040/9781350057685.0023Google Scholar
Galegher, J., Sproull, L. and Kiesler, S. (1998). Legitimacy, authority, and community in electronic support groups. Written Communication, 15(4), 493–530. https://doi.org/10.1177%2F0741088398015004003Google Scholar
Gawne, L. and McCulloch, G. (2019). Emoji as digital gestures. Language@Internet, 17. www.languageatinternet.org/articles/2019/gawne.Google Scholar
GBD 2015 Disease and Injury Incidence and Prevalence Collaborators. (2016). Global, regional, and national incidence, prevalence, and years lived with disability for 310 diseases and injuries, 1990–2015: A systematic analysis for the Global Burden of Disease Study 2015. Lancet, 388, 1545–1602. https://doi.org/10.1016/S0140-6736(16)31678-6Google Scholar
Geertz, C. (1973). Thick description: Toward an interpretive theory of culture. In Interpretations of Cultures: Selected Essays (pp. 3–30). Basic Books.Google Scholar
Georgaca, E. (2014). Discourse analytic research on mental distress: A critical overview. Journal of Mental Health, 23(2), 55–61. https://doi.org/10.3109/09638237.2012.734648Google Scholar
Gerolimatos, L. A. and Edelstein, B. A. (2012). Anxiety-related constructs mediate the relation between age and health anxiety. Aging & Mental Health, 16(8), 975–982. https://doi.org/10.1080/13607863.2012.688192Google Scholar
Golder, S., Ahmed, S., Norman, G. and Booth, A. (2017). Attitudes towards the ethics of using social media: A systematic review. Journal of Medical Internet Research, 19(6), e195. https://doi.org/10.2196/jmir.7082Google Scholar
Goldsmith, D. J. (2004). Communicating Social Support. Cambridge University Press.Google Scholar
Good, B. (1994). How medicine constructs its objects. In Good, B. (ed.) Medicine, Rationality and Experience (pp. 65-87). Cambridge University Press.Google Scholar
Gough, B., Robertson, S. and Luck, H. (2021). Engendered expressions of anxiety: Men’s emotional communications with women and other men. Frontiers in Psychology, 6, 697356. https://doi.org/10.3389/fsco.2021.697356Google Scholar
Gould, C. E. and Edelstein, B. A. (2010). Worry, emotion control, and anxiety control in older and young adults. Journal of Anxiety Disorders, 24(7), 759–766. https://doi.org/10.1016/j.janxdis.2010.05.009Google Scholar
Gries, S. Th., Newman, J. and Shaoul, C. (2011). N-grams and the clustering of registers. ELR Journal, 5 (1). http://ejournals.org.uk/ELR/article/2011/1.Google Scholar
Haase, M. (2021). When words speak for themselves: An examination of linguistic correlates of anxiety and depression. Thesis. Kent State University. http://rave.ohiolink.edu/etdc/view?acc_num=ksuhonors1620659259937997Google Scholar
Halliday, M. A. K. (1976). System and Function in Language. Oxford University Press.Google Scholar
Halliday, M. A. K. (2003). Language and the order of nature. In Webster, J. (ed.) On Language and Linguistics. Volume 3 in the Collected Works of M.A.K. Halliday (pp. 116–138). Continuum.Google Scholar
Hammond, W. P. (2012). Taking it like a man: Masculine role norms as moderators of the racial discrimination-depressive symptoms association among African American men. American Journal of Public Health, 102(Suppl 2), S232–41. https://dx.doi.org/10.2105%2FAJPH.2011.300485Google Scholar
Hannaford, E. D. (2017). The press and public on mental health: A corpus linguistic analysis of UK newspaper coverage of mental illness (1995–2014), compared with the UK National Attitudes to Mental Illness. MPhil(R) thesis. University of Glasgow. http://theses.gla.ac.uk/9016/Google Scholar
Hardaker, C. (2010). Trolling in asynchronous computer-mediated communication: From user discussions to academic definitions. Journal of Politeness Research, 6, 215e242. http://dx.doi.org/10.1515/JPLR.2010.011Google Scholar
Hartman, M. (2021). Cannabis overview. National Conference of State Legislatures. www.ncsl.org/research/civil-and-criminal-justice/marijuana-overview.aspxGoogle Scholar
Harvey, K. (2012). Disclosures of depression: Using corpus linguistic methods to examine young people’s online health concerns. International Journal of Corpus Linguistics, 17(3), 349–379. https://doi.org/10.1075/ijcl.17.3.03harCrossRefGoogle Scholar
Hausner, H., Hajak, G. and Spiessl, H. (2008). Gender differences in help-seeking behavior on two internet forums for individuals with self-reported depression. Gender Medicine, 5(2), 181–185. https://doi.org/10.1016/j.genm.2008.05.008Google Scholar
Hayes, S. C., Strosahl, K. D. and Wilson, K. G. (2012). Acceptance and Commitment Therapy: The Process and Practice of Mindful Change. 2nd ed. Guilford Press.CrossRefGoogle Scholar
Hermans, E. J., Ramsey, N. F. and van Honk, J. (2008). Exogenous testosterone enhances responsiveness to social threat in the neural circuitry of social aggression in humans. Biological Psychiatry, 63(3), 263–270. https://doi.org/10.1016/j.biopsych.2007.05.013Google Scholar
Herring, S. C. (2008). Language and the internet. In Donsbach, W. (ed.) International Encyclopedia of Communication (pp. 2640–2645). Blackwell. https://doi.org/10.1002/9781405186407.wbiecl005Google Scholar
Herring, S. and Dainas, A. (2017). ‘Nice picture comment!’ Graphicons in Facebook comment threads. Proceedings of the Fiftieth Hawaii International Conference in System Sciences. 4–7 January. Los Alamitos, California, pp. 2185–2194.Google Scholar
Herring, S. C. and Dainas, A. (2020). Gender and age influence on interpretation of emoji functions. ACM Transactions on Social Computing, 3(2), 1–26. https://doi.org/10.1145/3375629CrossRefGoogle Scholar
Hunt, D. (2013). Anorexia nervosa, depression and medicalisation: a corpus-based study of patients and professionals. PhD thesis. University of Nottingham.Google Scholar
Hunt, D. and Brookes, G. (2020). Corpus, Discourse and Mental Health. Bloomsbury.Google Scholar
Hunt, D. and Harvey, K. (2015). Health communication and corpus linguistics: Using corpus tools to analyse eating disorder discourse online. In Baker, P. and McEnery, T. (eds.) Corpora and Discourse: Integrating Discourse and Corpora (pp. 134–154). Palgrave.Google Scholar
Hunt, S., Wisocki, P. and Yanko, J. (2003). Worry and use of coping strategies among older and younger adults. Journal of Anxiety Disorders, 17(5), 547–560. https://doi.org/10.1016/S0887-6185(02)00229-3Google Scholar
Jacobson, N. C. and Newman, M. G. (2017). Anxiety and depression as bidirectional risk factors for one another: A meta-analysis of longitudinal studies. Psychological Bulletin, 143(11), 1155–1200. http://dx.doi.org/10.1037/bul0000111Google Scholar
Jaeger, S. R., Roigard, C. M., Jin, D., Vidal, L. and Ares, G. (2019). Valence, arousal and sentiment meanings of 33 facial emoji: Insights for the use of emoji in consumer research. Food Research International, 119, 895–907. https://doi.org/10.1016/j.foodres.2018.10.074Google Scholar
Jakubíček, M., Kilgarriff, A., Kovář, V., Rychlý, P., and Suchomel, V. (2013). The TenTen corpus family. Proceedings of the 7th International Corpus Linguistics Conference CL 2013, pp. 125–127. Lancaster University.Google Scholar
Joinson, A. N. (2003). Understanding the Psychology of Internet Behaviour: Virtual Worlds, Real Lives. Palgrave Macmillan.Google Scholar
Kamal, R., Cox, C. and McDermott, D. (2019). What are the recent and forecasted trends in prescription drug spending? Health System Tracker. www.healthsystemtracker.org/chart-collection/recent-forecasted-trends-prescription-drug-spending/Google Scholar
Kessler, R. C. and McLeod, J. D. (1984). Sex differences in vulnerability to undesirable life events. American Sociological Review, 49(5), 620–631. https://doi.org/10.2307/2095420Google Scholar
Kessler, R. C. and Wang, P. S. (2008). The descriptive epidemiology of commonly occurring mental disorders in the United States. Annual Review of Public Health, 29, 115–129. https://doi.org/10.1146/annurev.publhealth.29.020907.090847Google Scholar
Kessler, R. C., Sampson, N. A., Berglund, P., Gruber, M. J., Al-Hamzawi, A., Andrade, L., Bunting, B., Demyttenaere, K., Florescu, S., de Girolamo, G., Gureje, O., He, Y., Hu, C., Huang, Y., Karam, E., Kovess-Masfety, V., Lee, S., Levinson, D., Medina Mora, M. E., Moskalewicz, J., Nakamura, Y., Navarro-Mateu, F., Oakley Browne, M. A., Piazza, M., Posada-Villa, J., Slade, T., Ten Have, M., Torres, Y., Vilagut, G., Xavier, M., Zarkov, Z., Shahly, V. and Wilcox, M. A. (2015). Anxious and non-anxious major depressive disorder in the World Health Organization world mental health surveys. Epidemiology and Psychiatric Sciences, 24(3), 210–226. https://doi.org/10.1017/S2045796015000189Google Scholar
Kilgarriff, A. (2009). Simple maths for keywords. In Mahlberg, M., González-Díaz, V. and Smith, C. (eds.) Proceedings of the Corpus Linguistics Conference, CL2009. University of Liverpool. http://ucrel.lancs.ac.uk/publications/CL2009/171_FullPaper.docGoogle Scholar
Kilgarriff, A., Baisa, V., Bušta, J., Jakubíček, M., Kovář, V., Michelfeit, J., Rychlý, P. and Suchomel, V. (2014). The Sketch Engine: Ten years on. Lexicography, 1, 7–36. https://doi.org/10.1007/s40607-014-0009-9Google Scholar
The King’s Fund. (2022). The NHS budget and how it has changed. www.kingsfund.org.uk/projects/nhs-in-a-nutshell/nhs-budgetGoogle Scholar
Kinloch, K. and Jaworska, S. (2020). Using a comparative corpus-assisted approach to study health and illness discourses across domains: The case of postnatal depression (PND) in lay, medical and media texts. In Demjén, Z. (ed.) Applying linguistics in Illness and Healthcare Contexts (pp. 73–98). Bloomsbury.Google Scholar
Knight, N. (2019). Xanax: what you need to know. GQ. 18 January. www.gq-magazine.co.uk/article/xanax-what-you-need-to-knowGoogle Scholar
Konnopka, A. and König, H. (2020). Economic burden of anxiety disorders: A systematic review and meta-analysis. PharmacoEconomics, 38, 25–37. https://doi.org/10.1007/s40273-019-00849-7CrossRefGoogle ScholarPubMed
Kouper, I. (2010). The pragmatics of peer advice in a LiveJournal community. Language@Internet, 7, 1–21. www.languageatinternet.org/articles/2010/2464.Google Scholar
Lakoff, R. (1975). Language and Woman’s Place. Harper and Row.Google Scholar
Leech, G., Hundt, M., Mair, C. and Smith, N. (2009). Change in Contemporary English: A Grammatical Study. Cambridge University Press.Google Scholar
Lewinsohn, P. M., Gotlib, I. H., Lewinsohn, M., Seeley, J. R. and Allen, N. B. (1998). Gender differences in anxiety disorders and anxiety symptoms in adolescents. Journal of Abnormal Psychology, 107(1), 109–117. https://doi.org/10.1037/0021-843X.107.1.109CrossRefGoogle ScholarPubMed
Lindholm, L. (2017). ‘So now I’m panic attack free!’: Response stories in a peer-to-peer online advice forum on pregnancy and parenting. Linguistik Online, 87(8). https://doi.org/10.13092/lo.87.4171Google Scholar
Lindinger-Sternart, S. (2015). Help-seeking behaviours of men for mental health and the impact of diverse cultural backgrounds. International Journal of Social Science Studies, 3(1), 1–6. http://dx.doi.org/10.11114/ijsss.v3il.519Google Scholar
Littlewood, R. (2002). Pathologies of the West: An Anthropology of Mental Illness in Europe and America. Cornell University Press.Google Scholar
Locher, M. (2013). Internet advice. In Herring, S., Stein, D. and Virtanen, T. (eds.) Pragmatics of Computer-Mediated Communication (pp. 339–362). De Gruyter.Google Scholar
Lukianoff, G. and Haidt, J. (2018). The Coddling of the American Mind: How Good Intentions and Bad Ideas are Setting Up a Generation for Failure. Penguin Books.Google Scholar
Lynn, V. A. (2017). Language and HIV communication. HIV/AIDS (Auckland, N.Z.), 9, 183–185. https://doi.org/10.2147/HIV.S148193Google Scholar
Lyons, M., Deniz Aksayli, N. and Bewer, G. (2018). Mental distress and language use: Linguistic analysis of discussion forum posts. Computers in Human Behavior, 87, 207–211. https://doi.org/10.1016/j.chb.2018.05.035Google Scholar
Machin, K., Thomson, L., Hare-Duke, L. and Lambert, M. (2016). Exploratory research study of peer support provision for people with anxiety. Anxiety UK. www.anxietyuk.org.uk/get-involved/research-area/katharine-and-harold-fisher-anxiety-research-fund/.Google Scholar
Mackay, R. (2002). Half the Battle: Civilian Morale in Britain during the Second World War. Manchester University Press.Google Scholar
Mackenzie, J. (2017). Identifying informational norms in Mumsnet Talk: A reflexive-linguistic approach to internet research ethics. Applied Linguistics Review, 8(2–3), 293–314. https://doi.org/10.1515/applirev-2016-1042Google Scholar
Mahoney, C. T., Segal, D. L., Coolidge, F. L. (2015). Anxiety sensitivity, experiential avoidance, and mindfulness among younger and older adults: Age differences in risk factors for anxiety symptoms. The International Journal of Aging and Human Development, 81(4), 217–240. https://doi.org/10.1177/0091415015621309Google Scholar
Martin, J. J., Kliber, A., Hodges Kulinna, P. and Fahlman, M. (2006). Social physique anxiety and muscularity and appearance cognitions in college men. Sex Roles, 55, 151–158. https://doi.org/10.1007/s11199-006-9069-0Google Scholar
Martin, J. R. and White, P. R. R. (2005). The Language of Evaluation: Appraisal in English. Palgrave Macmillan.Google Scholar
McCrae, R. R., Terracciano, A. and Personality Profiles of Cultures Project. (2005). Personality profiles of cultures: Aggregate personality traits. Journal of Personality and Social Psychology, 89(3), 407–425. https://doi.org/10.1037/0022-3514.89.3.407Google Scholar
McDonald, D. and Woodward-Kron, R. (2016). Member roles and identities in online support groups: Perspectives from corpus and systemic functional linguistics. Discourse & Communication, 10(2), 157–175. https://doi.org/10.1177%2F1750481315615985Google Scholar
McEnery, T. (2005). Swearing in English: Bad Language, Purity and Power from 1586 to the Present. Routledge. https://doi.org/10.4324/9780203501443Google Scholar
McEnery, T. and Hardie, A. (2012). Corpus Linguistics: Method, Theory and Practice. Cambridge University Press.Google Scholar
McLean, C. P. and Anderson, E. R. (2009). Brave men and timid women? A review of the gender differences in fear and anxiety. Clinical Psychology Review, 29(6), 496–505. https://doi.org/10.1016/j.cpr.2009.05.003Google Scholar
McLeod, D. R., Hoehn-Saric, R., Foster, G. V. and Hipsley, P. A. (1993). The influence of premenstrual syndrome on ratings of anxiety in women with generalized anxiety disorder. Acta Psychiatrica Scandinavica, 88(4), 248–251. https://doi.org/10.1111/j.1600-0447.1993.tb03451.xGoogle Scholar
McMullen, L. M. and Conway, J. B. (2002). Conventional metaphors for depression. In Fussell, S. R. (ed.) The Verbal Communication of Emotions: Interdisciplinary Perspectives (pp. 167–181). Erlbaum.Google Scholar
Meredith, J. (2019). Conversation analysis and online interaction. Research on Language and Social Interaction, 52(3), 241–256. https://doi.org/10.1080/08351813.2019.1631040Google Scholar
Mikes, G. (1984). How to Be a Brit. Penguin.Google Scholar
Mo, P. K., Malik, S. H. and Coulson, N. S. (2009). Gender differences in computer-mediated communication: A systematic literature review of online health-related support groups. Patient Education and Counseling, 75(1), 16–24. https://doi.org/10.1016/j.pec.2008.08.029Google Scholar
Moffat, S. D., An, Y., Resnick, S. M., Diamond, M. P. and Ferrucci, L. (2020). Longitudinal change in cortisol levels across the adult life span. The Journal of Gerontology, 75(2), 394–400. https://doi.org/10.1093/gerona/gly279Google Scholar
Naslund, J. A., Aschbrenner, K. A., Marsch, L. A. and Bartles, S. J. (2016). The future of mental health care: Peer-to-peer support and social media. Epidemiology and Psychiatric Sciences, 25, 113–122. https://doi.org/10.1017/S2045796015001067Google Scholar
NCSL. (2021). State medical marijuana laws. National Conference of State Legislatures. www.ncsl.org/research/health/state-medical-marijuana-laws.aspxGoogle Scholar
Newberg, A., Wintering, N., Waldman, M. R. and Amen, D. G. (2010). Cerebral blood flow differences between long-term meditators and non-meditators. Consciousness and Cognition, 19(4), 899–905. https://doi.org/10.1016/j.concog.2010.05.003Google Scholar
Nimrod, G. (2013). Online depression communities: Members’ interests and perceived benefits. Health Communication, 28(5), 425–434. https://doi.org/10.1080/10410236.2012.691068Google Scholar
Nissling, L., Kraepelin, M., Kaldo, V., Hange, D., Larsson, A., Persson, M. and Weineland, S. (2021). Effects of patient-driven iCBT for anxiety in routine primary care and the relation between increased experience of empowerment and outcome: A randomized control trial. Internet Interventions, 26, 100456. https://doi.org/10.1016/j.invent.2021.100456Google Scholar
Nolen-Hoeksema, S. (1990). Sex Differences in Depression. Stanford University Press.Google Scholar
Nolen-Hoeksema, S. and Jackson, B. (2001). Mediators of the gender difference in rumination. Psychology of Women Quarterly, 25(1), 37–47. https://doi.org/10.1111%2F1471-6402.00005Google Scholar
O’Leary, K., Schueller, S. M., Wobbrock, J. O. and Pratt, W. (2018). ‘Suddenly, we got to become therapists for each other’: Designing peer support chats for mental health. CHI ’18: Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems. April. Paper No. 331, pp. 1–14. https://doi.org/10.1145/3173574.3173905Google Scholar
Office for National Statistics. (2020a). Drug misuse in England Wales: Year ending March 2020. www.ons.gov.uk/peoplepopulationandcommunity/crimeandjustice/articles/drugmisuseinenglandandwales/yearendingmarch2020Google Scholar
Office for National Statistics. (2020b). Average household income, UK: financial year ending 2019. www.ons.gov.uk/peoplepopulationandcommunity/personalandhouseholdfinances/incomeandwealth/bulletins/householddisposableincomeandinequality/financialyearending2019Google Scholar
Ohayon, M. M. and Schatzberg, A. F. (2010). Social phobia and depression: Prevalence and comorbidity. Journal of Psychosomatic Research, 68(3), 235–243. https://doi.org/10.1016/j.jpsychores.2009.07.018Google Scholar
Overy, R. (2013). The Bombing War. Europe 1939–45. Allen Lane.Google Scholar
Panayiotou, G., Karekla, M. and Mete, I. (2014). Dispositional coping in individuals with anxiety disorder symptomatology: Avoidance predicts distress. Journal of Contextual Behavioral Science, 3, 314–321. https://doi.org/10.1016/j.jcbs.2014.07.001Google Scholar
Partington, A. (2004). ‘Utterly content in each other’s company’: Semantic prosody and semantic preference. International Journal of Corpus Linguistics, 9(1), 131–156. https://doi.org/10.1075/ijcl.9.1.07parGoogle Scholar
Partington, A., Duguid, A. and Taylor, C. (2013). Patterns and Meanings in Discourse. John Benjamins.Google Scholar
Pearce, M. (2008). Investigating the collocational behaviour of MAN and WOMAN in the BNC using Sketch Engine. Corpora, 3(1), 1–29. https://doi.org/10.3366/E174950320800004XGoogle Scholar
Pennebaker, J. W. (2011). The Secret Life of Pronouns: What Our Words Say about Us. Bloomsbury.Google Scholar
Perkins, M. R. (2011). Clinical linguistics: Its past, present and future. Clinical Linguistics & Phonetics, 25(11–12), 922–927. https://doi.org/10.3109/02699206.2011.599471Google Scholar
Pew Research Center. (2018). The age gap in religion around the world. www.pewforum.org/2018/06/13/how-religious-commitment-varies-by-country-among-people-of-all-ages/.Google Scholar
Pew Research Centre. (2019). In U.S., decline of Christianity continues at rapid pace. www.pewforum.org/2019/10/17/in-u-s-decline-of-christianity-continues-at-rapid-pace/.Google Scholar
Powell, J., McCarthy, N. and Eysenbach, G. (2003). Cross-sectional survey of users of Internet depression communities. BMC Psychiatry, 3(19), 1–7. https://doi.org/10.1186/1471-244X-3-19CrossRefGoogle ScholarPubMed
Powers, C. B., Wisocki, P. A. and Whitbourne, S. K. (1992). Age differences and correlates of worrying in young and elderly adults. The Gerontologist, 32(1), 82–88. https://doi.org/10.1093/geront/32.1.82Google Scholar
Prada, M., Rodrigues, D. L., Garrido, M. V., Lopes, D., Cavalheiro, B. and Gaspar, R. (2018). Motives, frequency and attitudes toward emoji and emoticon use. Telematics and Informatics, 35, 1925–1934. https://doi.org/10.1016/j.tele.2018.06.005Google Scholar
Price, H. (2022). The Language of Mental Illness: Corpus Linguistics and the Construction of Mental Illness in the Press. Cambridge University Press.Google Scholar
Public Health England. (2017). Health Profile for England: 2017. Chapter 2: Major causes of death and how they have changed. www.gov.uk/government/publications/health-profile-for-england/chapter-2-major-causes-of-death-and-how-they-have-changedGoogle Scholar
Rajkumar, S. V. (2020). The high cost of prescription drugs: Causes and solutions. Blood Cancer Journal, 10(71), 1–5. https://doi.org/10.1038/s41408-020-0338-xGoogle Scholar
Ramirez-Esparza, N., Chung, C. K., Kacewicz, E. and Pennebaker, J. W. (2008). The psychology of word use in depression forums in English and in Spanish: Testing two text analytic approaches. The International AAAI Conference on Web and Social Media. pp. 102–108. Association for the Advancement of Artificial Intelligence. www.aaai.org/Papers/ICWSM/2008/ICWSM08-020.pdfGoogle Scholar
Rethink Mental Illness. (2022). Anxiety Disorders version 6.1. www.rethink.org/advice-and-information/about-mental-illness/learn-more-about-conditions/anxiety-disorders/Google Scholar
Rey, J. M. (2001). Changing gender roles in popular culture: Dialogue in Star Trek episodes from 1966 to 1993. In Conrad, S. and Biber, D. (eds.) Variation in English: Multi-Dimensional Studies (pp. 138–156). Longman.Google Scholar
Riordan, M. A. and Kreuz, R. J. (2010). Cues in computer-mediated communication: A corpus analysis. Computers in Human Behaviour, 26(6), 1806–1817. http://dx.doi.org/10.1016/j.chb.2010.07.008Google Scholar
Rosmarin, D. H., Krumrei, E. J. and Andersson, G. (2009). Religion as a predictor of psychological distress in two religious communities. Cognitive Behaviour Therapy, 38(1), 54–64. https://psycnet.apa.org/doi/10.1080/16506070802477222Google Scholar
Rychlý, P. (2008). A lexicographer-friendly association score. In Sojka, P. and Horák, A. (eds.) Proceedings of Recent Advances in Slavonic Natural Language Processing, RASLAN 2008 (pp. 6–9). Masaryk University. https://nlp.fi.muni.cz/raslan/2008/papers/13.pdfGoogle Scholar
Sansome, J. (2019). Talking about the weather is the ‘most typical British trait’, a survey has found. Manchester Evening News. 8 March. www.manchestereveningnews.co.uk/news/greater-manchester-news/talking-weather-most-typical-british-15940259Google Scholar
Schegloff, E. and Sacks, H. (1967). Opening up closings. Semiotica, 8(4), 289–327. https://doi.org/10.1515/semi.1973.8.4.289Google Scholar
Schmitt, D. P., Allik, J., McCrae, R. R. and Benet-Martinez, V. (2007). The geographical distribution of Big Five personality traits: Patterns and profiles of human self-description across 56 nations. Journal of Cross-Cultural Psychology, 38(2), 173–212. https://doi.org/10.1177%2F0022022106297299Google Scholar
Schofield, C. A., Abdul-Chani, M. and Gaudiano, B. A. (2020). Impact of causal explanations for social anxiety disorder on stigma and treatment perceptions. Journal of Mental Health, 29(1), 84–91. https://doi.org/10.1080/09638237.2018.1487543Google Scholar
Scollon, C. N. and Diener, E. (2006). Love, work, and changes in extraversion and neuroticism over time. Journal of Personality and Social Psychology, 91(6), 1152–1165. https://doi.org/10.1037/0022-3514.91.6.1152Google Scholar
Scott, M. (1997). PC analysis of key words – and key key words. System, 25(2), 233–245. https://doi.org/10.1016/S0346-251X(97)00011-0Google Scholar
Semino, E. (2008). Metaphor in Discourse. Cambridge University Press.Google Scholar
Shim, M., Mahaffey, B., Bleidistel, M. and Gonzalez, A. (2017). A scoping review of human-support factors in the context of Internet-based psychological interventions (IPIs) for depression and anxiety disorders. Clinical Psychology Review, 57, 129–140. http://dx.doi.org/10.1016/j.cpr.2017.09.003Google Scholar
Showalter, E. (1987). The Female Malady: Women, Madness, and English Culture, 1830–1980. Virago Press.Google Scholar
Shum, W. and Lee, C. (2013). (Im)politeness and disagreement in two Hong Kong Internet discussion forums. Journal of Pragmatics, 50(1), 52–83. https://doi.org/10.1016/j.pragma.2013.01.010Google Scholar
Sik, D. (2021). From lay depression narratives to secular ritual healing: An online ethnography of mental health forums. Culture, Medicine, and Psychiatry, 45, 751–774. https://doi.org/10.1007/s11013-020-09702-5Google Scholar
Sillence, E. (2010). Seeking out very like-minded others: Exploring trust and advice issues in an online health support group. International Journal of Web Based Communities, 6(4), 376–394. http://dx.doi.org/10.1504/IJWBC.2010.035840Google Scholar
Sillence, E., Briggs, P., Harris, P. and Fishwick, L. (2007). Going online for health advice: Changes in usage and trust practices over the last five years. Interacting with Computers, 19(3), 397–406. https://doi.org/10.1016/j.intcom.2006.10.002Google Scholar
Skelton, J., Murray, J. and Hobbs, F. (1999). Imprecision in medical communication: Study of a doctor talking to patients with serious illness. Journal of the Royal Society of Medicine, 92(12), 620–625. https://doi.org/10.1177/014107689909201204Google Scholar
Skovholt, K., Grønning, A. and Kankaanranta, A. (2014). The communicative functions of emoticons in workplace e-mails: :-). Journal of Computer-Mediated Communication, 19, 780–797. https://doi.org/10.1111/jcc4.12063Google Scholar
Slonim, T. (2014). Verbal behavior in individuals with Generalized Anxiety Disorder. Doctoral dissertation. City University of New York. https://academicworks.cuny.edu/gc_etds/386/Google Scholar
Smith, D. T., Mouzon, D. M. and Elliott, M. (2018). Reviewing the assumptions about men’s mental health: An exploration of the gender binary. American Journal of Men’s Health, 12(1), 78–89. https://doi.org/10.1177/1557988316630953Google Scholar
Stevenson-Hinde, J. and Shouldice, A. (1993). Wariness to strangers: A behavior systems perspective revisited. In Rubin, K. H. and Asendorpf, J. B. (eds.) Social Withdrawal, Inhibition, and Shyness in Childhood (pp. 101–116). Lawrence Erlbaum.Google Scholar
Stewart, K. D. and Bernhardt, P. C. (2010). Comparing millennials to pre-1987 students and with one another. North American Journal of Psychology, 12(3), 579–602.Google Scholar
Stommel, W. and Koole, T. (2010). The online support group as a community: A micro-analysis of the interaction with a new member. Discourse Studies, 12(3), 357–378. https://doi.org/10.1177/1461445609358518Google Scholar
Stommel, W. and Lamerichs, J. (2014). Interaction in online support groups. In Hamilton, H. E. and Chou, W. Y. S. (eds.) The Routledge Handbook of Language and Health Communication (pp. 198–211). Routledge.Google Scholar
Stubbs, M. (1995). Collocations and semantic profiles: On the cause of the trouble with quantitative methods. Function of Language, 2(1), 23–55. https://doi.org/10.1075/fol.2.1.03stuGoogle Scholar
Stubbs, M. (1996). Text and Corpus Analysis. Blackwell.Google Scholar
Suler, J. (2004). The online disinhibition effect. CyberPsychology & Behavior, 7(3), 321–326. https://doi.org/10.1089/1094931041291295Google Scholar
Sunderland, J. (2004). Gendered Discourse. Palgrave Macmillan. https://doi.org/10.1057/9780230505582Google Scholar
Tackman, A. M., Sbarra, D. A., Carey, A. L., Donnellan, M. B., Horn, A. B., Holtzman, N. S., Edwards, T. S., Pennebaker, J. W. and Mehl, M. R. (2019). Depression, negative emotionality, and self-referential language: A multi-lab, multi-measure, and multi-language-task research synthesis. Journal of Personality and Social Psychology, 116(5), 817–834. https://doi.org/10.1037/pspp0000187Google Scholar
Tausczik, Y. R. and Pennebaker, J. W. (2010). The psychological meaning of words: LIWC and computerized text analysis methods. Journal of Language and Social Psychology, 29(1), 24–54. https://doi.org/10.1177/0261927X09351676Google Scholar
Taylor, S. E., Klein, L. C., Lewis, B. P., Gruenewald, T. L., Gurung, R. A. R. and Updegraff, J. A. (2000). Biobehavioral responses to stress in females: Tend-and-befriend, not fight-or-flight. Psychological Review, 107(3), 411–429. https://doi.org/10.1037/0033-295X.107.3.411Google Scholar
Thomas, J. and Wilson, A. (1996). Methodologies for studying a corpus of doctor–patient interaction. In Thomas, J. and Short, M. (eds.) Using Corpora for Language Research (pp. 181–207). Longman.Google Scholar
Thurlow, C. and Poff, M. (2013). Text messaging. In Herring, S., Stein, D. and Virtanen, T. (eds.) Pragmatics of Computer-Mediated Communication (pp. 163–189). De Gruyter.Google Scholar
TNS BMRB. (2015). Attitudes to mental illness: 2014 research report. Time to Change. www.time-to-change.org.uk/research-reports-publications/campaignGoogle Scholar
Townsend, L. and Wallace, C. (2016). Social media research: A guide to ethics. University of Aberdeen. www.gla.ac.uk/media/Media_487729_smxx.pdfGoogle Scholar
Twenge, J. M., Cooper, A. B., Joiner, T. E., Duffy, M. E. and Binau, S. G. (2019). Age, period, and cohort trends in mood disorder indicators and suicide-related outcomes in a nationally representative dataset, 2005–2017. Journal of Abnormal Psychology, 128(3), 185–199. https://doi.org/10.1037/abn0000410Google Scholar
Underwood, G., Schmitt, N. and Galpin, A. (2004). The eyes have it: An eye-movement study into the processing of formulaic sequences. In Schmitt, N. (ed.) Formulaic Sequences: Acquisition, Processing, and Use (pp. 153–172). John Benjamins. https://doi.org/10.1075/lllt.9.09undGoogle Scholar
Van Uden-Kraan, C. F., Drossaert, C. H., Taal, E., Seydel, E. R. and Van de Laar, M. A. (2008). Self-reported differences in empowerment between lurkers and posters in online patient support groups. Journal of Medical Internet Research, 10(2), e18. https://doi.org/10.2196/jmir.992Google Scholar
Vanheule, S., Desmet, M. and Meganck, R. (2009). What the heart thinks, the tongue speaks: A study on depression and lexical choice. Psychological Reports, 104(2), 473–481. https://doi.org/10.2466/pr0.104.2.473-481Google Scholar
Vayreda, A. and Antaki, C. (2009). Social support and unsolicited advice in a bipolar disorder online forum. Qualitative Health Research, 19(7), 931–942. https://doi.org/10.1177/1049732309338952Google Scholar
Veen, M., Te Molder, H., Gremmen, B. and Van Woerkum, C. (2010). Quitting is not an option: An analysis of online diet talk between celiac disease patients. Health, 14(1), 23–40. https://doi.org/10.1177%2F1363459309347478Google Scholar
Waring, H. Z. (2007). The multi-functionality of accounts in advice giving. Journal of Sociolinguistics, 11(3), 367–391. https://doi.org/10.1111/j.1467-9841.2007.00328.xGoogle Scholar
Weaver, B. (2019). Lies in copywriting. Hyperbole vs realism. copywritematters www.copywritematters.com/lies-copywriting-hyperbole-realism/Google Scholar
Webb, M., Burns, J. M. and Collin, P. (2008). Providing online support for young people with mental health difficulties: Challenges and opportunities explored. Early Intervention Psychiatry, 2(2), 108–113. https://doi.org/10.1111/j.1751-7893.2008.00066.xGoogle Scholar
Weber, H. L. (2011). Missed cues: How disputes can socialize virtual newcomers. Language@Internet, 8(5). http://nbn-resolving.de/urn:nbn:de:0009-7-31711Google Scholar
World Health Organization. (2017). Depression and Other Common Mental Disorders: Global Health Estimates. World Health Organization.Google Scholar
Xiao, R. and McEnery, T. (2006). Collocation, semantic prosody, and near synonymy: A cross-linguistic perspective. Applied Linguistics, 27(1), 103–129. https://doi.org/10.1093/applin/ami045Google Scholar
Yip, J. W. C. (2020). Evaluating the communication of online social support: A mixed-methods analysis of structure and content. Health Communication, 35(10), 1210–1218. https://doi.org/10.1080/10410236.2019.1623643Google Scholar
Zappavigna, M. (2012). Discourses of Twitter and Social Media. Continuum.Google Scholar
Zimmermann, J., Brockmeyer, T., Hunn, M., Schauenburg, H. and Wolf, M. (2017). First-person pronoun use in spoken language as a predictor of future depressive symptoms: Preliminary evidence from a clinical sample of depressed patients. Clinical Psychology & Psychotherapy, 24(2), 384–391. https://doi.org/10.1002/cpp.2006Google Scholar

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  • Luke Collins, Lancaster University, Paul Baker, Lancaster University
  • Book: Language, Discourse and Anxiety
  • Online publication: 08 June 2023
  • Chapter DOI: https://doi.org/10.1017/9781009250139.010
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  • References
  • Luke Collins, Lancaster University, Paul Baker, Lancaster University
  • Book: Language, Discourse and Anxiety
  • Online publication: 08 June 2023
  • Chapter DOI: https://doi.org/10.1017/9781009250139.010
Available formats
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To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Google Drive.

  • References
  • Luke Collins, Lancaster University, Paul Baker, Lancaster University
  • Book: Language, Discourse and Anxiety
  • Online publication: 08 June 2023
  • Chapter DOI: https://doi.org/10.1017/9781009250139.010
Available formats
×