References
- Altmetric.com. (2018). How does Altmetric’s text mining work? Altmetric. https://help.altmetric.com/support/solutions/articles/6000196551-how-does-altmetric-s-text-mining-work-
- Arenberg, T., & Lowrey, W. (2019). The impact of web metrics on community news decisions: A resource dependence perspective. Journalism & Mass Communication Quarterly, 96(1), 131–149. https://doi.org/https://doi.org/10.1177/1077699018801318
- Associated Press Stylebook 2020: And Briefing on Media Law. (2020). New York: Basic Books. https://www.apstylebook.com/ap_stylebook/health-and-science
- Austin, L., Fisher Liu, B., & Jin, Y. (2012). How audiences seek out crisis information: Exploring the social-mediated crisis communication model. Journal of Applied Communication Research, 40(2), 188–207. https://doi.org/https://doi.org/10.1080/00909882.2012.654498
- Bakker, P. (2012). Aggregation, content farms and huffinization. Journalism Practice, 6(5–6), 627–637. https://doi.org/https://doi.org/10.1080/17512786.2012.667266
- Barthel, M. (2019). Newspaper fact sheet: State of the news media. Pew Research Center. https://www.journalism.org/fact-sheet/digital-news/
- Berg, J. M., Bhalla, N., Bourne, P. E., Chalfie, M., Drubin, D. G., Fraser, J. S., … Wolberger, C. (2016). Preprints for the life sciences. Science, 352(6288), 899–901. https://doi.org/https://doi.org/10.1126/science.aaf9133
- Berkowitz, D. (2009). Journalism in the broader cultural mediascape. Journalism: Theory, Practice & Criticism, 10(3), 290–292. https://doi.org/https://doi.org/10.1177/1464884909102587
- Borah, P. (2014). The hyperlinked world: A look at how the interactions of news frames and hyperlinks influence news credibility and willingness to seek information. Journal of Computer-Mediated Communication, 19(3), 576–590. https://doi.org/https://doi.org/10.1111/jcc4.12060
- Bourrier, M. (2018). Risk communication 101: A few benchmarks. In M. Bourrier & C. Bieder (Eds.), Risk communication for the future (pp. pp. 1–14). Springer.
- Bruns, A. (2018). Gatewatching and news curation: Journalism, social media, and the public sphere. Peter Lang.
- Carlson, M., & Usher, N. (2016). News startups as agents of innovation: For-profit digital news startup manifestos as metajournalistic discourse. Digital Journalism, 4(5), 563–581. https://doi.org/https://doi.org/10.1080/21670811.2015.1076344
- Chadwick, A. (2017). The hybrid media system: Politics and power. Oxford University Press.
- Chiarelli, A., Johnson, R., Pinfield, S., & Richens, E. (2019). Preprints and scholarly communication: An exploratory qualitative study of adoption, practices, drivers and barriers. F1000Research, 8. https://doi.org/https://doi.org/10.12688/f1000research.19619.2
- Chong, D., & Druckman, J. N. (2007). Framing theory. Annual Review of Political Science, 10(1), 103–126. https://doi.org/https://doi.org/10.1146/annurev.polisci.10.072805.103054
- Coddington, M. (2012). Building frames link by link: The linking practices of blogs and news sites. International Journal of Communication, 6(2012), 2007–2026. https://ijoc.org/index.php/ijoc/article/view/1476
- Coddington, M. (2019). Aggregation and journalism. In Oxford Research Encyclopedia of Communication. https://doi.org/https://doi.org/10.1093/acrefore/9780190228613.013.778
- Coffey, D., & Oransky, I. (2020, March 20). The week that wasn’t in COVID-19: Centenarian survives, high-risk blood types. Medscape. https://www.medscape.com/viewarticle/927299?src=rss
- Corbett, J. B., & Durfee, J. L. (2004). Testing public (un)certainty of science: Media representations of global warming. Science Communication, 26(2), 129–151. https://doi.org/https://doi.org/10.1177/1075547004270234
- Covello, V. T., McCallum, D. B., & Pavlova, M. (1989). Principles and guidelines for improving risk communication. In V. T. Covello, D. B. McCallum, & M. T. Pavlova (Eds.), Effective risk communication (pp. 3–16). Springer US. https://doi.org/https://doi.org/10.1007/978-1-4613-1569-8_1
- Covello, V. T., & Allen, F. (1988). Seven cardinal rules of risk communication. US Environmental Protection Agency. Office of Policy Analysis.
- da Silva, J. A. T. (2020). An alert to COVID-19 literature in predatory publishing venues. The Journal of Academic Librarianship, 46(5), 1–2. https://doi.org/https://doi.org/10.1016/j.acalib.2020.102187
- Dan, V., & Raupp, J. (2018). A systematic review of frames in news reporting of health risks: Characteristics, construct consistency vs. name diversity, and the relationship of frames to framing functions. Health, Risk & Society, 20(5–6), 203–226. https://doi.org/https://doi.org/10.1080/13698575.2018.1522422
- Deuze, M., & Witschge, T. (2018). Beyond journalism: Theorizing the transformation of journalism. Journalism: Theory, Practice & Criticism, 19(2), 165–181. https://doi.org/https://doi.org/10.1177/1464884916688550
- Dixon, C. E., & Clarke, G. N. (2012). Heightening uncertainty around certain science: Media coverage, false balance, and the autism-vaccine-controversy. Science Communication, 35(3), 358–382. https://doi.org/https://doi.org/10.1177/1075547012458290
- Dumas-Mallet, E., Smith, A., Boraud, T., & Gonon, F. (2018). Scientific uncertainty in the press: How newspapers describe initial biomedical findings. Science Communication, 40(1), 124–141. https://doi.org/https://doi.org/10.1177/1075547017752166
- Dunwoody, S. (1999). Scientists, journalists, and the meaning of uncertainty. In S. M. Friedman, S. Dunwoody, & C. L. Rogers (Eds.), Communicating uncertainty: Media coverage of new and controversial science (pp. 59–79). Routledge.
- Entman, R. M. (1993). Framing: Toward clarification of a fractured paradigm. Journal of Communication, 43(4), 51–58. https://doi.org/https://doi.org/10.1111/j.1460-2466.1993.tb01304.x
- Erdt, M., Nagarajan, A., Sin, S.-C. J., & Theng, Y.-L, (2016). Altmetrics: An analysis of the state-of-the-art in measuring research impact on social media. Scientometrics, 109(2), 1117–1166. https://doi.org/https://doi.org/10.1007/s11192-016-2077-0
- Evensen, D. T., & Clarke, C. E. (2012). Efficacy information in media coverage of infectious disease risks: An ill predicament?. Science Communication, 34(3), 392–418. https://doi.org/https://doi.org/10.1177/1075547011421020
- Fahnestock, J. (1986). Accommodating science. The rhetorical life of scientific facts. Written Communication, 3(3), 275–296. https://doi.org/https://doi.org/10.1177/0741088386003003001
- Foreign Affairs New Zealand (2020, March 18). MIL-OSI United Kingdom: Expert comment on what more do we now know about the virus causing the COVID-19 outbreak, and what can scientists do to best respond?. https://foreignaffairs.co.nz/2020/03/19/mil-osi-united-kingdom-expert-comment-on-what-more-do-we-now-know-about-the-virus-causing-the-covid-19-outbreak-and-what-can-scientists-do-to-best-respond/
- Fraser, N., Brierley, L., Dey, G., Polka, J. K., Pálfy, M., & Alexis, J. (2020). Preprinting a pandemic: The role of preprints in the COVID-19 pandemic. BioRxiv, 36. https://doi.org/https://doi.org/10.1101/2020.05.22.111294
- Frewer, L., Hunt, S., Brennan, M., Kuznesof, S., Ness, M., & Ritson, C. (2003). The views of scientific experts on how the public conceptualize uncertainty. Journal of Risk Research, 6(1), 75–85. https://doi.org/https://doi.org/10.1080/1366987032000047815
- Fry, N. K., Marshall, H., & Mellins-Cohen, T. (2019). In praise of preprints. Microbial Genomics, 5(4), 1–3. https://doi.org/https://doi.org/10.1099/mgen.0.000259
- Gamson, W. A., & Modigliani, A. (1989). Media discourse and public opinion on nuclear power: A constructionist approach. American Journal of Sociology, 95(1), 1–37. https://doi.org/https://doi.org/10.1086/229213
- Golan, G. (2006). Inter-media agenda setting and global news coverage. Journalism Studies, 7(2), 323–333. https://doi.org/https://doi.org/10.1080/14616700500533643
- Guenther, L., Bischoff, J., Löwe, A., Marzinkowski, H., & Voigt, M. (2019). Scientific evidence and science journalism: Analysing the representation of (un)certainty in German print and online media. Journalism Studies, 20(1), 40–59. https://doi.org/https://doi.org/10.1080/1461670X.2017.1353432
- Guenther, L., Froehlich, K., & Ruhrmann, G. (2015). Un)certainty in the news: Journalists’ decisions on communicating the scientific evidence of nanotechnology. Journalism & Mass Communication Quarterly, 92(1), 199–220. https://doi.org/https://doi.org/10.1177/1077699014559500
- Guenther, L., Gaertner, M., & Zeitz, J. (2020). Framing as a concept for health communication: A systematic review. Health Communication, 1–9. https://doi.org/https://doi.org/10.1080/10410236.2020.1723048
- Guenther, L., & Ruhrmann, G. (2016). Scientific evidence and mass media: Investigating the journalistic intention to represent scientific uncertainty. Public Understanding of Science, 25(8), 927–943. https://doi.org/https://doi.org/10.1177/0963662515625479
- Gustafson, A., & Rice, R. E. (2019). The effects of uncertainty frames in three science communication topics. Science Communication, 41(6), 679–706. https://doi.org/https://doi.org/10.1177/1075547019870811
- Haelle, T. (2020). Tips on covering preprints about coronavirus research. [Blog post]. Association of Health Care Journalists. https://healthjournalism.org/resources-tips-details.php?id=1113#.Xu_FTy2ZPxU
- Harrison, S., Macmillan, A., & Rudd, C. (2020). Framing climate change and health: New Zealand’s online news media. Health Promotion International, 1–11. https://doi.org/https://doi.org/10.1093/heapro/daz130
- Hart, P. S., & Feldman, L. (2014). Threat without efficacy? Climate change on U.S. network news. Science Communication, 36(3), 325–351. https://doi.org/https://doi.org/10.1177/1075547013520239
- Helmuth, L. (2020). Tipsheet: Covering the coronavirus epidemic effectively without spreading misinformation. [Blog post]. The Open Notebook. https://www.theopennotebook.com/2020/03/02/tipsheet-covering-the-coronavirus-epidemic-effectively-without-spreading-misinformation/#
- Hermida, A. (2019). The existential predicament when journalism moves beyond journalism. Journalism, 20(1), 177–180. https://doi.org/https://doi.org/10.1177/1464884918807367
- Hove, T., Paek, H.-J., Yun, M., & Jwa, B. (2015). How newspapers represent environmental risk: The case of carcinogenic hazards in South Korea. Journal of Risk Research, 18(10), 1320–1336. https://doi.org/https://doi.org/10.1080/13669877.2014.923025
- Hurley, R. J., & Tewksbury, D. (2012). News aggregation and content differences in online cancer news. Journal of Broadcasting & Electronic Media, 56(1), 132–149. https://doi.org/https://doi.org/10.1080/08838151.2011.648681
- Jaklevic, M. (2020). Strong caveats are lacking as news stories trumpet preliminary COVID-19 research. [Blog post]. Health News Review. https://www.healthnewsreview.org/2020/04/strong-caveats-are-lacking-as-news-stories-trumpet-preliminary-covid-19-research/
- Jenkins, H., & Deuze, M. (2008). Editorial: Convergence culture. Convergence: The International Journal of Research into New Media Technologies, 14(1), 5–12. https://doi.org/https://doi.org/10.1177/1354856507084415
- Jensen, J. D. (2008). Scientific uncertainty in news coverage of cancer research: Effects of hedging on scientists’ and journalists’ credibility. Human Communication Research, 34(3), 347–369. https://doi.org/https://doi.org/10.1111/j.1468-2958.2008.00324.x
- Jung Oh, H., Hove, T., Paek, H.-J., Lee, B., Lee, H., & Kyu Song, S. (2012). Attention cycles and the H1N1 pandemic: A cross-national study of US and Korean newspaper coverage. Asian Journal of Communication, 22(2), 214–232. https://doi.org/https://doi.org/10.1080/01292986.2011.642395
- Karlsson, M., & Sjøvaag, H. (2018). Hyperlinks and linking practice. In T. Vos, & F. Hanusch (Eds.), The international encyclopedia of journalism studies (pp. 1–5). American Cancer Society.https://doi.org/https://doi.org/10.1002/9781118841570.iejs0231
- Khamsi, R. (2020). What best practices are you following in covering preprints during the pandemic? [Blog post]. Health Journalism. https://healthjournalism.org/core-topic.php?id=4&page=sharedwisdom
- Kharasch, E. D. (2020). Uncertainty and certainty. Anesthesiology: The Journal of the American Society of Anesthesiologists, 133(1), 1–4. https://doi.org/https://doi.org/10.1097/ALN.0000000000003388
- Kille, L. W. (2015). The growing problem of Internet “link rot” and best practices for media and online publishers. Journalist’s Resource, Harvard Shorenstein Center on Media Politics and Public Policy. [Blog post]. https://journalistsresource.org/studies/society/internet/website-linking-best-practices-media-online-publishers/
- Kwon, D. (2020). How swamped preprint servers are blocking bad coronavirus research. Nature, 581(7807), 130–131. https://doi.org/https://doi.org/10.1038/d41586-020-01394-6
- Lacy, S., Watson, B. R., Riffe, D., & Lovejoy, J. (2015). Issues and best practices in content analysis. Journalism & Mass Communication Quarterly, 92(4), 791–811. https://doi.org/https://doi.org/10.1177/1077699015607338
- Lai, W. Y. Y., & Lane, T. (2009). Characteristics of medical research news reported on front pages of newspapers. PLoS ONE, 4(7), e6103. https://doi.org/https://doi.org/10.1371/journal.pone.0006103
- Lee, A. M., & Chyi, H. I. (2015). The rise of online news aggregators: Consumption and competition. International Journal on Media Management, 17(1), 3–24. https://doi.org/https://doi.org/10.1080/14241277.2014.997383
- Lombard, M., Snyder-Duch, J., & Bracken, C. C. (2002). Content analysis in mass communication: Assessment and reporting of intercoder reliability. Human Communication Research, 28(4), 587–604. https://doi.org/https://doi.org/10.1111/j.1468-2958.2002.tb00826.x
- Lowrey, W. (2012). Journalism innovation and the ecology of news production: Institutional tendencies. Journalism & Communication Monographs, 14(4), 214–287. https://doi.org/https://doi.org/10.1177/1522637912463207
- Luzón, M. J. (2009). Scholarly hyperwriting: The function of hyperlinks in academic weblogs. Journal of the American Society for Information Science and Technology, 60(1), 75–89. https://doi.org/https://doi.org/10.1002/asi.20937
- Majumder, M. S., & Mandl, K. D. (2020). Early in the epidemic: Impact of preprints on global discourse about COVID-19 transmissibility. The Lancet Global Health, 8(5), e627–e630. https://doi.org/https://doi.org/10.1016/S2214-109X(20)30113-3
- Mandal, A. (2020, April 8). Air pollution and PM2.5 raise risk of COVID-19 death. Medical News. https://www.news-medical.net/news/20200408/Air-pollution-and-PM25-raise-risk-of-COVID-19-death.aspx
- Matthes, J., & Kohring, M. (2008). The content analysis of media frames: Toward improving reliability and validity. Journal of Communication, 58(2), 258–279. https://doi.org/https://doi.org/10.1111/j.1460-2466.2008.00384.x
- Matthias, L., Fleerackers, A., & Alperin, J. P. (2020). Framing science: How opioid research is presented in online news media. Frontiers in Communication, 5(64). https://doi.org/https://doi.org/10.3389/fcomm.2020.00064
- McKenzie, C. T., Lowrey, W., Hays, H., Chung, J. Y., & Woo, C. W. (2011). Listening to news audiences: The impact of community structure and economic factors. Mass Communication and Society, 14(3), 375–395. https://doi.org/https://doi.org/10.1080/15205436.2010.491934
- Molteni, M. (2020, January 24). Scientists predict Wuhan’s outbreak will get much worse. Wired. https://www.wired.com/story/scientists-predict-wuhans-outbreak-will-get-much-worse/
- Nanyingi, M. (2020, May 31). Predicting COVID-19: What applying a model in Kenya would look like. https://theconversation.com/predicting–covid–19–what–applying–a–model–in–kenya–would–look–like–134675
- Nisbet, M. C., Brossard, D., & Kroepsch, A. (2003). Framing science: The stem cell controversy in an age of press/ politics. Harvard International Journal of Press/Politics, 8(2), 36–70. https://doi.org/https://doi.org/10.1177/1081180X02251047
- O’Malley, P., Rainford, J., & Thompson, A. (2009). Transparency during public health emergencies: From rhetoric to reality. Bulletin of the World Health Organization, 87(8), 614–618. https://doi.org/https://doi.org/10.2471/BLT.08.056689
- Ordway, D. (2020). Covering biomedical research preprints amid the coronavirus: 6 things to know [Blog post]. https://journalistsresource.org/tip-sheets/research/medical-research-preprints-coronavirus/
- Our Audience. (2020). The conversation Australia. https://theconversation.com/au/audience
- Peters, H. P., & Dunwoody, S. (2016). Scientific uncertainty in media content: Introduction to this special issue. Public Understanding of Science, 25(8), 893–908. https://doi.org/https://doi.org/10.1177/0963662516670765
- Polka, J. K., & Penfold, N. C. (2020). Biomedical preprints per month, by source and as a fraction of total literature (Version 3.0) [Data set]. Zenodo. https://doi.org/http://doi.org/10.5281/zenodo.3819276
- Price, V., & Tewksbury, D. (1997). News values and public opinion: A theoretical account of media priming and framing. In G. A. Barnett & F. J. Boster (Eds.), Progress in the communication sciences (Vol. 13, pp. 173–212). Ablex.
- Scheufele, B., & Scheufele, D. (2010). Of spreading activation, applicability, and schemas: Conceptual distinctions and their operational implications for measuring frames and framing effects. In P. D’Angelo & J. A. Kuypers (Eds.), Doing news framing analysis: Empirical and theoretical perspectives (1st ed., pp. 110–134). Routledge.
- Scheufele, D. A. (1999). Framing as a theory of media effects. Journal of Communication, 49(1), 103–122. https://doi.org/https://doi.org/10.1111/j.1460-2466.1999.tb02784.x
- Schneider, J. (2010). Making space for the “nuances of truth”: Communication and uncertainty at an environmental journalists’ workshop. Science Communication, 32(2), 171–201. https://doi.org/https://doi.org/10.1177/1075547009340344
- Schneider, S. (2016). Communicating uncertainty: A challenge for science communication. In J. L. Drake, Y. Y. Kontar, J. C. Eichelberger, T. S. Rupp, & K. M. Taylor (Eds.), Communicating climate-change and natural hazard risk and cultivating resilience: Case studies for a multi-disciplinary approach (pp. 267–278). Springer International Publishing. https://doi.org/https://doi.org/10.1007/978-3-319-20161-0_17
- Sellnow, T. L., Ulmer, R. R., Seeger, M. W., & Littlefield, R. S. (2009). Effective risk communication—A message-centered approach. Springer Science & Business Media.
- Semetko, H. A., & Valkenburg, P. M. (2000). Framing European politics: A content analysis of press and television news. Journal of Communication, 50(2), 93–109. https://doi.org/https://doi.org/10.1111/j.1460-2466.2000.tb02843.x
- Stocking, G. (2019). Trends and facts on online news: State of the news media. Pew Research Center. https://www.journalism.org/fact-sheet/digital-news/
- Strekalova, Y. A. (2015). Informing dissemination research: A content analysis of U.S. newspaper coverage of medical nanotechnology news. Science Communication, 37(2), 151–172. https://doi.org/https://doi.org/10.1177/1075547014555025
- Stroobant, J. (2019). Finding the news and mapping the links: A case study of hypertextuality in Dutch-language health news websites. Information, Communication & Society, 22(14), 2138–2155. https://doi.org/https://doi.org/10.1080/1369118X.2018.1477971
- Stroobant, J., & Raeymaeckers, K. (2019). Hypertextuality in net-native health news: A quantitative content analysis of hyperlinks and where they lead to. Journal of Applied Journalism & Media Studies, 8(3), 367–385. https://doi.org/https://doi.org/10.1386/ajms_00007_1
- Tandoc, E. C. (2015). Why web analytics click. Journalism Studies, 16(6), 782–799. https://doi.org/https://doi.org/10.1080/1461670X.2014.946309
- Terms and Conditions. (2020). The conversation. https://theconversation.com/ca/terms-and-conditions
- Tewksbury, D., & Riles, J. M. (2018). Framing in an interactive news environment. In P. D’Angelo (Ed.), Doing news framing analysis II: Emperical and theoretical perspectives (pp. 138–162). Routledge.
- van der Bles, A. M., van der Linden, S., Freeman, A. L. J., & Spiegelhalter, D. J. (2020). The effects of communicating uncertainty on public trust in facts and numbers. Proceedings of the National Academy of Sciences, 117(14), 7672–7683. https://doi.org/https://doi.org/10.1073/pnas.1913678117
- Van Leuven, S., Kruikemeier, S., Lecheler, S., & Hermans, L. (2018). Online and newsworthy: Have online sources changed journalism?. Digital Journalism, 6(7), 798–806. https://doi.org/https://doi.org/10.1080/21670811.2018.1498747
- Vu, H. T. (2014). The online audience as gatekeeper: The influence of reader metrics on news editorial selection. Journalism, 15(8), 1094–1110. https://doi.org/https://doi.org/10.1177/1464884913504259
- Wang, W., & Guo, L. (2018). Framing genetically modified mosquitoes in the online news and Twitter: Intermedia frame setting in the issue-attention cycle. Public Understanding of Science, 27(8), 937–951. https://doi.org/https://doi.org/10.1177/0963662518799564
- Witschge, T., Anderson, C., Domingo, D., & Hermida, A. (2019). Dealing with the mess (we made): Unraveling hybridity, normativity, and complexity in journalism studies. Journalism, 20(5), 651–659. https://doi.org/https://doi.org/10.1177/1464884918760669
- Yan, W. (2020, April 14). Coronavirus tests science’s need for speed limits. New York Times. https://www.nytimes.com/2020/04/14/science/coronavirus-disinformation.html?searchResultPosition=1
- Yaros, R. A. (2011). Effects of text and hypertext structures on user interest and understanding of science and technology. Science Communication, 33(3), 275–308. https://doi.org/https://doi.org/10.1177/1075547010386803
- Zehr, S. (1999). Scientists’ representations of uncertainty. In S. M. Friedman, S. Dunwoody, & C. L. Rogers (Eds.), Communicating uncertainty: Media coverage of new and controversial science (pp. 59–79). Routledge.