Skip to main content

Advertisement

Log in

#EULAR2018: The Annual European Congress of Rheumatology—a Twitter hashtag analysis

  • Observational Research
  • Published:
Rheumatology International Aims and scope Submit manuscript

Abstract

The objective of this study was to explore the hashtag #EULAR2018 on Twitter during the period of the European League Against Rheumatism (EULAR) Annual European Congress to better comprehend the implications and patterns of social media (SM) data and their possible impact on users interested in rheumatic and musculoskeletal diseases. A mixed methods study combining SM performance data with qualitative content analysis of tweets was conducted. All the tweets publicly posted with #EULAR2018 were tracked using Symplur™ and Keyhole. Parameters such as number of users, engagement, reach, impressions, gender, source used to tweet, type of post, countries, trending topics, and main themes were analyzed. A total of 10,431 tweets using #EULAR2018 were tracked. Most of them were original and reached by > 2,950,000 users. Some of the retweets came from non-attendees to the congress. Males tweeted more than females; however, this gender disparity was not notable among the influential users. “Patients” were identified as the key topic. Sharing knowledge from the in situ congress, marketing or advertising, and sharing experiences or thoughts were identified as the main themes. Some dissonances between EULAR discourse and behavior that require further attention were identified. The EULAR congress is a staggering source of information with the potential of generating debate and promoting new practices in the rheumatology field, regardless of the place of origin of the users exposed to it, or whether or not the users attended the congress. EULAR should recognize the value and power of these data and incorporate them in the benchmarking of challenges and opportunities for the organization.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3

Similar content being viewed by others

References

  1. EULAR (2018) The structure of EULAR. https://www.congress.eular.org/index.cfm. Accessed 18 Jun 2018

  2. EULAR (2018) EULAREULAR Congress News 2018. https://www.congress.eular.org/index.cfm. Accessed 17 Jun 2018

  3. Quan-Haase A, Sloan L (2017) Introduction to the handbook of social media research methods: goals, challenges and innovations. In: The SAGE handbook of social media research methods, Sage, Beverly Hills, pp 1–9

    Google Scholar 

  4. McCay-Peet L, Quan-Haase A (2017) What is social media and what questions can social media research help us answer? In: The SAGE handbook of social media research methods, Sage, Beverly Hills, pp 13–26

    Google Scholar 

  5. Sloan L, Quan-Haase A (2017) The SAGE handbook of social media research methods. Sage, Beverly Hills

    Google Scholar 

  6. Anderson G, Gleeson S, Rissel C et al (2014) Twitter tweets and twaddle: twittering at AHPA’s National Health Promotion Conference. Health Promot J Aust 25(2):143–146

    Article  Google Scholar 

  7. Attai DJ, Radford DM, Cowher MS (2016) Tweeting the meeting: twitter use at the American Society of Breast Surgeons annual meeting 2013–2016. Ann Surg Oncol 23(10):3418–3422

    Article  PubMed  Google Scholar 

  8. Awad NI, Cocchio C (2015) Use of Twitter at a major national pharmacy conference. Am J Health Syst Pharm 72(1):65–69

    Article  PubMed  Google Scholar 

  9. Borgmann H, Woelm J-H, Merseburger A et al (2016) Qualitative Twitter analysis of participants, tweet strategies, and tweet content at a major urologic conference. Can Urol Assoc J 10(1–2):39

    Article  PubMed  PubMed Central  Google Scholar 

  10. Canvasser NE, Ramo C, Morgan TM et al (2015) The use of social media in endourology: an analysis of the 2013 World Congress of Endourology meeting. J Endourol 29(5):615–620

    Article  PubMed  Google Scholar 

  11. Cochran A, Kao LS, Gusani NJ et al (2014) Use of Twitter to document the 2013 Academic Surgical Congress. J Surg Res 190(1):36–40

    Article  PubMed  Google Scholar 

  12. Ferguson C, Inglis SC, Newton PJ et al (2014) Social media: a tool to spread information: a case study analysis of twitter conversation at the Cardiac Society of Australia & New Zealand 61st annual scientific meeting 2013. Collegian 21(2):89–93

    Article  Google Scholar 

  13. Nason G, O’Kelly F, Bouchier-Hayes D et al (2015) Twitter expands the reach and engagement of a national scientific meeting: the Irish Society of Urology. Ir J Med Sci 184(3):685–689

    Article  CAS  PubMed  Google Scholar 

  14. Neill A, Cronin JJ, Brannigan D et al (2014) The impact of social media on a major international emergency medicine conference. Emerg Med J 31(5):401–404

    Article  PubMed  Google Scholar 

  15. Donkor B (2015) Impressions ≠ Reach. https://brnrd.me/posts/twitter-impressions-reach. Accessed 17 Jun 2018

  16. York A (2018) Reach vs impressions: what’s the difference in terms? https://sproutsocial.com/insights/reach-vs-impressions/. Accessed 17 Jun 2018

  17. Cha M, Haddadi H, Benevenuto F et al (2010) Measuring user influence in twitter: the million follower fallacy. Icwsm 10(10–17):30

    Google Scholar 

  18. Katz E, Lazarsfeld PF, Roper E (2017) Personal influence: the part played by people in the flow of mass communications. Routledge, London

    Book  Google Scholar 

  19. Rogers EM (2010) Diffusion of innovations. Simon and Schuster, New York

    Google Scholar 

  20. Williams ML, Burnap P, Sloan L (2017) Crime sensing with big data: the affordances and limitations of using open-source communications to estimate crime patterns. Br J Criminol 57(2):320–340

    Google Scholar 

  21. Flick U (2018) Doing triangulation and mixed methods. Sage, Beverly Hills

    Google Scholar 

  22. Saldaña J (2015) The coding manual for qualitative researchers. Sage, Beverly Hills

    Google Scholar 

  23. Pershad Y, Hangge PT, Albadawi H et al (2018) Social medicine: Twitter in healthcare. J Clin Med 7(6):121

    Article  PubMed Central  Google Scholar 

  24. Jalali A, Sherbino J, Frank J et al (2015) Social media and medical education: exploring the potential of Twitter as a learning tool. Int Rev Psychiatry 27(2):140–146

    Article  PubMed  Google Scholar 

  25. Jalali A, Wood TJ (2013) Tweeting during conferences: educational or just another distraction? Med Educ 47(11):1129–1130

    Article  PubMed  Google Scholar 

  26. Nikiphorou E, Alunno A, Carmona L et al (2017) Patient–physician collaboration in rheumatology: a necessity. BMJ Spec J 3:1

    Google Scholar 

  27. Clair RNS (1982) Language and the social construction of reality. Lang Sci 4(2):221–236

    Article  Google Scholar 

  28. Cayton H (2006) The alienating language of health care. J R Soc Med 99(10):484

    Article  PubMed  PubMed Central  Google Scholar 

  29. Flick U (2014) An introduction to qualitative research. Sage, Beverly Hills

    Google Scholar 

  30. Bo C (2015) Social constructivism of language and meaning. Croat J Philos 15(1 (43)):87–113

    Google Scholar 

  31. Vermeire E, Hearnshaw H, Van Royen P et al (2001) Patient adherence to treatment: three decades of research. A comprehensive review. J Clin Pharm Ther 26(5):331–342

    Article  CAS  PubMed  Google Scholar 

  32. Bruner J (1991) The narrative construction of reality. Crit Inq 18(1):1–21

    Article  Google Scholar 

  33. Bruffee KA (1986) Social construction, language, and the authority of knowledge: a bibliographical essay. Coll Engl 48(8):773–790

    Article  Google Scholar 

  34. Nikiphorou E, Studenic P, Ammitzboll CG et al (2017) Social media use among young rheumatologists and basic scientists: results of an international survey by the Emerging EULAR Network (EMEUNET). Ann Rheum Dis 76(4):712–715

    Article  PubMed  Google Scholar 

  35. Nikiphorou E, Studenic P, Alunno A et al (2018) ‘Twitterland’: a brave new world? Ann Rheum Dis 77(8):1245–1246

    PubMed  Google Scholar 

  36. Boulianne S (2015) Social media use and participation: a meta-analysis of current research. Inf Commun Soc 18(5):524–538

    Article  Google Scholar 

  37. Asur S, Huberman BA (2010) Predicting the future with social media. In: Proceedings of the 2010 IEEE/WIC/ACM international conference on web intelligence and intelligent agent technology-volume 01 2010 IEEE Computer Society; 2010. pp 492–499

Download references

Acknowledgements

To Simon R. Stones for showing me that he is more than just a patient; he is a person with a disease.

Funding

This research did not receive any specific Grant from funding agencies in the public, commercial, or not-for-profit sectors.

Author information

Authors and Affiliations

Authors

Contributions

JB: conceived, planned, and conducted the study. He was also in charge of the data analysis, the interpretation of the results, the writing of the manuscript, and its revision.

Corresponding author

Correspondence to José B. Negrón.

Ethics declarations

Conflict of interest

Dr. Negrón reports personal fees and Grants from the European League Against Rheumatism outside the submitted work.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Negrón, J.B. #EULAR2018: The Annual European Congress of Rheumatology—a Twitter hashtag analysis. Rheumatol Int 39, 893–899 (2019). https://doi.org/10.1007/s00296-019-04249-0

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00296-019-04249-0

Keywords

Navigation