Mapping the connections of health professionals to COVID-19 myths and facts in the Australian Twittersphere

References

• Ahpra. (2020, September 02). Statement from Ahpra and the National Boards on the appropriate use of social media.
   Google Scholar
• Battiston, P., Kashyap, R., & Rotondi, V. (2020). Reliance on scientists and experts during an epidemic: evidence from the COVID-19 outbreak in Italy. SSM-Population Health, 13, 100721. https://doi.org/10.1016/j.ssmph.2020.100721
   PubMedGoogle Scholar
• Benhabib, S. (1993). Feminist theory and Hannah Arendt's concept of public space. History of the Human Sciences, 6(2), 97–114. https://doi.org/10.1177/095269519300600205
   Web of Science ®Google Scholar
• Benkler, Y., Faris, R., Roberts, H., & Zuckerman, E. (2017). Study: Breitbart-led right-wing media ecosystem altered broader media agenda. CJR.
   Google Scholar
• Benoit, K., Watanabe, K., Wang, H., Nulty, P., Obeng, A., Müller, S., & Matsuo, A. (2018). quanteda: An R package for the quantitative analysis of textual data. Journal of Open Source Software, 3(30), 774. https://doi.org/10.21105/joss.00774
   Google Scholar
• Brennen, S., Simon, F., Howard, P., & Nielsen, R. K. (2020). Types, sources, and claims of COVID-19 misinformation. Reuters Institute, 7, 1–13.
   Google Scholar
• Broniatowski, D. A., Jamison, A. M., Qi, S., AlKulaib, L., Chen, T., Benton, A., … Dredze, M. (2018). Weaponized health communication: Twitter bots and Russian trolls amplify the vaccine debate. American Journal of Public Health, 108(10), 1378–1384. https://doi.org/10.2105/AJPH.2018.304567
   PubMed Web of Science ®Google Scholar
• Bruns, A., & Burgess, J. (2011). The use of Twitter hashtags in the formation of ad hoc publics. In A. Bruns, & P. De Wilde (Eds.), Proceedings of the 6th European Consortium for Political Research (ECPR) General Conference 2011 (pp. 1–9). The European Consortium for Political Research (ECPR).
   Google Scholar
• Bruns, A., & Moe, H. (2014). Structural layers of communication on Twitter. In K. Weller, et al. (Ed.), Twitter and society (pp. 15–28). Peter Lang.
   Google Scholar
• Cairney, P., & Wellstead, A. (2020). COVID-19: Effective policymaking depends on trust in experts, politicians, and the public. Policy Design and Practice, 1–14. https://doi.org/10.1080/25741292.2020.1837466
   Google Scholar
• Caulfield, T. (2020). Does debunking work? Correcting COVID-19 misinformation on social media. Open Science Framework, https://doi.org/10.31219/osf.io/5uy2f
   Google Scholar
• Cinelli, M., De Francisci Morales, G., Galeazzi, A., Quattrociocchi, W., & Starnini, M. (2021). The echo chamber effect on social media. Proceedings of the National Academy of Sciences, 118(9), e2023301118. https://doi.org/10.1073/pnas.2023301118
   PubMed Web of Science ®Google Scholar
• Cinelli, M., Quattrociocchi, W., Galeazzi, A., Valensise, C. M., Brugnoli, E., Schmidt, A. L., … Scala, A. (2020). The covid-19 social media infodemic. Scientific Reports, 10(1), 1–10. https://doi.org/10.1038/s41598-020-73510-5
   PubMed Web of Science ®Google Scholar
• Cuan-Baltazar, J. Y., Muñoz-Perez, M. J., Robledo-Vega, C., Pérez-Zepeda, M. F., & Soto-Vega, E. (2020). Misinformation of COVID-19 on the internet: infodemiology study. JMIR public health and surveillance, 6(2), e18444. https://doi.org/10.2196/18444
   PubMedGoogle Scholar
• Davis, J. (2020). How artifacts afford: The power and politics of everyday things. MIT Press.
   Google Scholar
• Dutta-Bergman, M. J. (2004). Health attitudes, health cognitions, and health behaviors among Internet health information seekers: Population-based survey. Journal of Medical Internet Research, 6(2), e15. https://doi.org/10.2196/jmir.6.2.e15
   PubMed Web of Science ®Google Scholar
• Erku, D. A., Belachew, S. A., Abrha, S., Sinnollareddy, M., Thomas, J., Steadman, K. & Tesfaye, W. (2020). When fear and misinformation go viral: Pharmacists’ role in deterring medication misinformation during the ‘infodemic’ surrounding COVID-19. Research in Social and Administrative Pharmacy, 17(1), 1954–1963. https://doi.org/10.1016/j.sapharm.2020.04.032
   PubMed Web of Science ®Google Scholar
• Fang, Z., & Costas, R. (2020). Tracking the Twitter attention around the research efforts on the COVID-19 pandemic. arXiv preprint arXiv:2006.05783.
   Google Scholar
• Fletcher, R., & Nielsen, R. K. (2017). Are news audiences increasingly fragmented? A cross-national comparative analysis of cross-platform news audience fragmentation and duplication. Journal of Communication, 67(4), 476–498. https://doi.org/10.1111/jcom.12315
   Web of Science ®Google Scholar
• Fligstein, N., & McAdam, D. (2012). A theory of fields. OUP.
   Google Scholar
• Freeman, L. (1979). Centrality in social networks. Conceptual clarification. Social Networks, 1(3), 215–239. https://doi.org/10.1016/0378-8733(78)90021-7
   Web of Science ®Google Scholar
• Gallagher, A., Davey, J., & Hart, M. (2020). The genesis of a conspiracy theory: Key trends in QAnon activity since 2017. ISD.
   Google Scholar
• Gallotti, R., Valle, F., Castaldo, N., Sacco, P., & De Domenico, M. (2020). Assessing the risks of ‘infodemics’ in response to COVID-19 epidemics. Nature Human Behaviour, 4(12), 1285–1293. https://doi.org/10.1038/s41562-020-00994-6
   PubMed Web of Science ®Google Scholar
• Graham, M., & Rodriguez, S. (2020, October 13). Facebook says it will finally ban anti-vaccination ads. CNBC.
   Google Scholar
• Gruzd & Mai. (2020). Inoculating against an infodemic: A Canada-wide COVID-19 news, social media, and misinformation survey. Ryerson University Social Media Lab.
   Google Scholar
• Hardey, M. (1999). Doctor in the house: The Internet as a source of lay health knowledge and the challenge to expertise. Sociology of Health and Illness, 21(6), 820–35. https://doi.org/10.1111/1467-9566.00185
   Web of Science ®Google Scholar
• Horwitz, J., & Seetharaman, D. (2020, May 26). Facebook executives shut down efforts to make the site less divisive. Wall Street Journal. https://www.wsj.com/articles/facebook-knows-it-encourages-division-top-executives-nixed-solutions-11590507499
   Google Scholar
• Kata, A. (2012). Anti-vaccine activists, Web 2.0, and the postmodern paradigm: An overview of tactics and tropes used online by the anti-vaccination movement. Vaccine, 30(25), 3778–3789. https://doi.org/10.1016/j.vaccine.2011.11.112
   PubMed Web of Science ®Google Scholar
• Kearney, M. W. (2019). rtweet: Collecting and analyzing Twitter data. Journal of Open Source Software, 4(42), 1829. https://doi.org/10.21105/joss.01829
   Google Scholar
• Kouzy, R., Abi Jaoude, J., Kraitem, A., El Alam, M. B., Karam, B., Adib, E., Zarka, J., Traboulsi, C., Akl, E. W. & Baddour, K. (2020). Coronavirus goes viral: quantifying the COVID-19 misinformation epidemic on Twitter. Cureus, 12(3). https://doi.org/10.7759/cureus.7255
   PubMed Web of Science ®Google Scholar
• Larsson, O., & Moe, H. (2014). Twitter in politics and elections: Insights from Scandinavia. In K. Weller, et al. (Ed.), Twitter and society (pp. 319–330). Peter Lang.
   Google Scholar
• Latour, B., Jensen, P., Venturini, T., Grauwin, S., & Boullier, D. (2012). The whole is always smaller than its parts: A digital test of Gabriel Tardes’ monads. The British Journal of Sociology, 63(4), 590–615. https://doi.org/10.1111/j.1468-4446.2012.01428.x
   PubMed Web of Science ®Google Scholar
• McGowan, M. (2021, Feb. 16). How Australia became fertile ground for misinformation and QAnon. The Guardian.
   Google Scholar
• Memon, S. A., & Carley, K. M. (2020). Characterizing covid-19 misinformation communities using a novel twitter dataset. arXiv preprint.
   Google Scholar
• Menczer, F. (2016). The spread of misinformation in social media. Proceedings of the 25th International Conference Companion on WWW, Montréal, Québec, Canada, April 11–15.
   Google Scholar
• Mozur, P. (2018, October 15). A genocide incited on Facebook, with posts From Myanmar’s military. New York Times.
   Google Scholar
• Nguyen, C. T. (2017). Escape the echo chamber. Aeon.
   Google Scholar
• O’Neil, M., & Ackland, R. (2020). Risk issue adoption in an online social movement field. Information, Communication & Society, 23(13), 1854–1873. https://doi.org/10.1080/1369118X.2019.1620823
   Google Scholar
• O’Neil, M., & Jensen, M. (2020). Australian perspectives on misinformation. News & Media Research Centre, University of Canberra.
   Google Scholar
• O’Neil, M., Raissi, M., & Turner, B. (2020). The case for asymmetry in online research: Caring about issues in Australian and Canadian Web 1.0 bee networks. International Journal of Communication, 14, 5150–5173.
   Web of Science ®Google Scholar
• Park, S, Fisher, C, Lee, J, McGuinness, K, Sang, Y, O’Neil, M, Jensen, M, McCallum, K, & Fuller, G. (2020). Digital news report: Australia 2020. News & Media Research Centre, University of Canberra.
   Google Scholar
• Paul, K. (2021, February 08). Facebook bans misinformation about all vaccines after years of controversy. The Guardian.
   Google Scholar
• Pennycook, G., McPhetres, J., Zhang, Y., Lu, J. G., & Rand, D. G. (2020). Fighting COVID-19 misinformation on social media: Experimental evidence for a scalable accuracy-nudge intervention. Psychological Science, 31(7), 770–780. https://doi.org/10.1177/0956797620939054
   PubMed Web of Science ®Google Scholar
• Pew Research Center. (2020). Public holds broadly favorable views of many federal agencies, including CDC and HHS.
   Google Scholar
• Piovesan, A. (2021, Mar. 10). Doctors, healthcare workers face harsh penalties for spouting anti-coronavirus vaccine claims. The Australian. https://www.news.com.au/lifestyle/health/health-problems/doctors-healthcare-workers-face-harsh-penalties-for-spouting-anticoronavirus-vaccine-claims/news-story/7c0ef2746ed1c52b20bda9d12a35fa6a
   Google Scholar
• Scanfeld, D., Scanfeld, V., & Larson, E. L. (2010). Dissemination of health information through social networks: Twitter and antibiotics. American Journal of Infection Control, 38(3), 182–188. https://doi.org/10.1016/j.ajic.2009.11.004
   PubMed Web of Science ®Google Scholar
• Schild, L., Ling, C., Blackburn, J., Stringhini, G., Zhang, Y., & Zannettou, S. (2020). ‘Go eat a bat, chang!’: An early look on the emergence of sinophobic behavior on web communities in the face of covid-19. arXiv preprint.
   Google Scholar
• Schraube, E. (2009). Technology as materialized action and its ambivalences. Theory & Psychology, 19(2), 296–312. https://doi.org/10.1177/0959354309103543
   Web of Science ®Google Scholar
• Sen, A., & Zadrozny, B. (2020, Aug. 11). QAnon groups have millions on Facebook, documents show. NBC News. Accessed online - https://www.nbcnews.com/tech/tech-news/qanon-groups-have-millions-members-facebook-documents-show-n1236317
   Google Scholar
• Silverman, C., Mac, R., & Dixit, P. (2020, September. 14). ‘I have blood on my hands:’ A whistleblower says Facebook ignored global political manipulation. Buzzfeed.
   Google Scholar
• Smith, N., & Graham, T. (2019). Mapping the anti-vaccination movement on Facebook. Information, Communication & Society, 22(9), 1310–1327. https://doi.org/10.1080/1369118X.2017.1418406
   Web of Science ®Google Scholar
• Tasnim, S., Hossain, M., & Mazumder, H. (2020). Impact of rumors and misinformation on COVID-19 in social media. Journal of Preventive Medicine Public Health, 53(3), 171–174. https://doi.org/10.3961/jpmph.20.094
   PubMedGoogle Scholar
• Terren, L., & Borge, R. (2021). Echo chambers on social media: A systematic review of the literature. Review of Communication Research, 9, 99–118. https://doi.org/10.12840/ISSN.2255-4165.028
   Web of Science ®Google Scholar
• Thelwall, M., & Thelwall, S. (2020). Retweeting for COVID-19: Consensus building, information sharing, dissent, and lockdown life. arXiv preprint.
   Google Scholar
• Tworek, H. (2020, March 18). https://twitter.com/HeidiTworek/status/1240340632666701824.
   Google Scholar
• Vosoughi, S., Roy, D., & Aral, S. (2018). The spread of true and false news online. Science, 359(6380), 1146–1151. https://doi.org/10.1126/science.aap9559
   PubMed Web of Science ®Google Scholar
• Wall Street Journal. (2021). The Facebook files. https://www.wsj.com/news/types/the-facebook-files?mod=svg-breadcrumb.
   Google Scholar
• Walter, N., Brooks, J. J., Saucier, C. J., & Suresh, S. (2020). Evaluating the impact of attempts to correct health misinformation on social media: A meta-analysis. Health Communication, 36(13), 1776–1784. https://doi.org/10.7759/cureus.7255
   PubMed Web of Science ®Google Scholar
• Wang, B., & Zhuang, J. (2017). Crisis information distribution on Twitter: a content analysis of tweets during Hurricane Sandy. Natural hazards, 89(1), 161–181. https://doi.org/10.1007/s11069-017-2960-x
   Web of Science ®Google Scholar
• Wang, Y., Hao, H., & Platt, L. S. (2020). Examining risk and crisis communications of government agencies and stakeholders during early-stages of COVID-19 on Twitter. Computers in Human Behavior, 114, 106568. https://doi.org/10.1016/j.chb.2020.106568
   PubMed Web of Science ®Google Scholar
• Yang, L., Sun, T., Zhang, M., & Mei, Q. (2012). We know what@ you# tag: does the dual role affect hashtag adoption? Proceedings of the 21st international conference on WWW. April 16 - 20.
   Google Scholar
• Zarocostas, J. (2020). How to fight an infodemic. The Lancet, 395(10225), 676. https://doi.org/10.1016/S0140-6736(20)30461-X
   PubMed Web of Science ®Google Scholar