Resumo
ABSTRACT – Starting from a gap identified in the literature regarding the use of social networks by newspapers to disseminate urgent news, this article aims to study strategies of journalistic content in social media, particularly in the context of a public crisis and to compare the effectiveness of different types of news disseminated in this medium, namely in terms of reach and generated interaction. The following research question was defined: how popular was public health news in Brazil during the covid-19 pandemic? Based on contributions in the literature, a quantitative study was carried out, using the content analysis technique. The study enable to better understand the sharing behavior of news in Twitter, the consumption behavior of newspaper readers on social networks and the generation of news during the pandemic.
RESUMO – Partindo de uma lacuna identificada na literatura quanto ao uso das redes sociais pelos jornais para divulgação de notícias urgentes, este artigo tem como objetivo estudar estratégias no consumo de conteúdo jornalístico nas mídias sociais, particularmente durante uma crise mundial, e comparar a eficácia de diferentes modalidades de notícias divulgadas neste meio, nomeadamente ao nível do alcance e da interação gerada. Definiu-se a seguinte questão de pesquisa: qual a popularidade das notícias de saúde pública no Brasil durante a pandemia de covid-19? Com base nas contribuições da literatura, foi realizado um estudo quantitativo, utilizando a técnica de análise de conteúdo. O estudo possibilitou compreender melhor o comportamento de compartilhamento de notícias no Twitter, o comportamento de consumo dos leitores de jornais nas redes sociais e a geração de notícias durante a pandemia.
RESUMEN – A partir de una brecha identificada en la literatura sobre el uso de las redes sociales por parte de los periódicos para difundir noticias urgentes, este artículo tiene como objetivo estudiar estrategias en el consumo de periodistas de noticias en las redes sociales, particularmente durante una crisis global y comparar la efectividad de diferentes modalidades de las noticias difundidas en este medio, es decir, en términos de alcance e interacción generada. Se definió la siguiente pregunta de investigación: ¿cuál es la popularidad de las noticias de salud pública en Brasil durante la pandemia de covid-19? Con base en aportes de la literatura, se realizó un estudio cuantitativo utilizando la técnica de análisis de contenido. El estudio permitió comprender mejor el comportamiento de compartir noticias en Twitter, el comportamiento de consumo de los lectores de periódicos en las redes sociales y la generación de noticias durante la pandemia.
Referências
Abul-Fottouh, D. (2018). Brokerage roles and strategic positions in Twitter networks of the 2011 Egyptian Revolution. Policy and Internet, 10(2), 218–240. https://doi.org/10.1002/poi3.169
Acar, A., & Muraki, Y. (2011). Twitter for crisis communication: Lessons learned from Japan’s tsunami disaster. International Journal of Web Based Communities, 7(3), 392–402. https://doi.org/10.1504/IJWBC.2011.041206
Aquino, V., & Monteiro, N. (2020). Coronavírus | Brasil confirma primeiro caso da doença. Ministério Da Saúde | Governo Brasileiro. https://www.saude.gov.br/noticias/agencia-saude/46435-brasil-confirma-primeiro-caso-de-novo-coronavirus
Babiak, K. (2010). CSR and environmental responsibility: Motives and pressures to adopt green management practices. Corporate Social Responsibility and Environmental Management, 24(March 2010), 11–24. https://doi.org/10.1002/csr
Barnard, S. R. (2018). Citizens at the Gates - Twitter, networket publics, and the transformation of american journalism. Palgrave Macmilla. https://doi.org/10.1007/978-3-319-90446-7
Bastos, M. T. (2015). Shares, pins, and tweets: News readership from daily papers to social media. Journalism Studies, 16(3), 305–325. https://doi.org/10.1080/1461670X.2014.891857
BBC. (2020). São Paulo registra primeira morte por coronavirus e investiga outras quatro. BBC News Brasil. https://www.bbc.com/portuguese/brasil-51931934
Becker, H., Naaman, M., & Gravano, L. (2011). Beyond trending topics: Real-World event identification on Twitter. In Columbia University Computer Science Technical Reports.
Broersma, M., & Graham, T. (2013). Twitter as a news source how dutch and british newspapers used tweets in their news coverage, 2007-2011. Journalism Practice, 7(4), 446–464. https://doi.org/10.1080/17512786.2013.802481
Bruns, A. (2017). Tweeting to save the furniture: The 2013 australian election campaign on Twitter. Media International Australia, 162(1), 49–64. https://doi.org/10.1177/1329878X16669001
Bryman, A. (2012). Social Research Methods (4th ed.). Oxford University Press Inc.
Christensen, C. (2011). Twitter revolutions? addressing social media and dissent. Communication Review, 14(3), 155–157. https://doi.org/10.1080/10714421.2011.597235
Comunello, F., & Anzera, G. (2012). Will the revolution be tweeted? A conceptual framework for understanding the social media and the Arab Spring. Islam and Christian-Muslim Relations, 23(4), 453–470. https://doi.org/10.1080/09596410.2012.712435
Cozma, R., & Hallaq, T. (2019). Digital natives as budding journalists: College TV stations’ uses of Twitter. Journalism and Mass Communication Educator, 74(3), 306–317. https://doi.org/10.1177/1077695818805899
Dindar, M., & Yaman, N. D. (2018). #IUseTwitterBecause: content analytic study of a trending topic in Twitter. Information Technology & People, 31(1), 256–277.
Ellcessor, E. (2018). “One tweet to make so much noise”: Connected celebrity activism in the case of Marlee Matlin. New Media and Society, 20(1), 255–271. https://doi.org/10.1177/1461444816661551
Freberg, K., Palenchar, M. J., & Veil, S. R. (2013). Managing and sharing H1N1 crisis information using social media bookmarking services. Public Relations Review, 39(3), 178–184. https://doi.org/10.1016/j.pubrev.2013.02.007
Guidry, J. P. D., Jin, Y., Orr, C. A., Messner, M., & Meganck, S. (2017). Ebola on Instagram and Twitter: How health organizations address the health crisis in their social media engagement. Public Relations Review, 43(3), 477–486. https://doi.org/10.1016/j.pubrev.2017.04.009
Hansen, L. K., Arvidsson, A., Nielsen, F. A., Colleoni, E., & Etter, M. (2011). Good friends, bad news - Affect and virality in twitter. Communications in Computer and Information Science, 185 CCIS(PART 2), 34–43. https://doi.org/10.1007/978-3-642-22309-9_5
Hedman, U. (2020). Making the most of Twitter: How technological affordances influence Swedish journalists’ self-branding. Journalism, 21(5), 670–687. https://doi.org/10.1177/1464884917734054
Hermida, A. (2010). Twittering the news: The emergence of ambient journalism. Journalism Practice, 4(3), 297–308. https://doi.org/10.1080/17512781003640703
Hermida, A. (2013). #Journalism: Reconfiguring journalism research about twitter, one tweet at a time. Digital Journalism, 1(3), 295–313. https://doi.org/10.1080/21670811.2013.808456
Heverin, T., & Zach, L. (2009). Microblogging for crisis communication: Examination of twitter use in response to a 2009 violent crisis in the Seattle-Tacoma, Washington area. ISCRAM 2010 - 7th International Conference on Information Systems for Crisis Response and Management: Defining Crisis Management 3.0, Proceedings, 1–5.
Hong, S. (2012). Online news on Twitter: Newspapers’ social media adoption and their online readership. Information Economics and Policy, 24(1), 69–74. https://doi.org/10.1016/j.infoecopol.2012.01.004
Horan, T. J. (2013). “Soft” versus “hard” news on microblogging networks: Semantic analysis of Twitter produsage. Information Communication and Society, 16(1), 43–60. https://doi.org/10.1080/1369118X.2011.649774
Houston, J. B., McKinney, M. S., Thorson, E., Hawthorne, J., Wolfgang, J. D., & Swasy, A. (2020). The twitterization of journalism: User perceptions of news tweets. Journalism, 21(5), 614–632. https://doi.org/10.1177/1464884918764454
Huang, C., Wang, Y., Li, X., Ren, L., Zhao, J., Hu, Y., Zhang, L., Fan, G., Xu, J., Gu, X., Cheng, Z., Yu, T., Xia, J., Wei, Y., Wu, W., Xie, X., Yin, W., Li, H., Liu, M., … Cao, B. (2020). Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China. The Lancet, 395(10223), 497–506. https://doi.org/10.1016/S0140-6736(20)30183-5
Ju, A., Jeong, S. H., & Chyi, H. I. (2014). Will social media save newspapers? Journalism Practice, 8(1), 1–17. https://doi.org/10.1080/17512786.2013.794022
Jungherr, A. (2016). Twitter use in election campaigns: A systematic literature review. Journal of Information Technology and Politics, 13(1), 72–91. https://doi.org/10.1080/19331681.2015.1132401
Jürgens, P., & Jungherr, A. (2015). The use of twitter during the 2009 German national election. German Politics, 24(4), 469–490. https://doi.org/10.1080/09644008.2015.1116522
Kaiser, K. (2016). Sports reporters in the twittersphere: Challenging and breaking down traditional conceptualizations of genderlect. Online Information Review, 40(6), 761–784. https://doi.org/10.1108/OIR-02-2016-0040
Kang, M., Choi, Y., Kim, J., Lee, K. O., Lee, S., Park, I. K., Park, J., & Seo, I. (2020). COVID-19 impact on city and region: what’s next after lockdown? International Journal of Urban Sciences, 24(3), 297–315. https://doi.org/10.1080/12265934.2020.1803107
Kavanaugh, A., Yang, S., Li, L. T., & Ed Fox, S. S. (2011). Microblogging in crisis situations: Mass protests in Iran, Tunisia, Egypt. Workshop in Conjuction with the ACM Conference on Human Factors in Computing Systems CHI11 May 712 2011, 6. http://www.ctrnet.net/sites/default/files/Twitter Use in Iran Tunisia Egypt.Kavanaugh.Final__0.pdf
Lee, N. Y., Kim, Y., & Sang, Y. (2017). How do journalists leverage Twitter? Expressive and consumptive use of Twitter. Social Science Journal, 54(2), 139–147. https://doi.org/10.1016/j.soscij.2016.09.004
Li, B., Scott, O. K. M., & Dittmore, S. W. (2018). Twitter and Olympics: Exploring factors which impact fans following American Olympic governing bodies. International Journal of Sports Marketing and Sponsorship, 19(4), 370–383. https://doi.org/10.1108/IJSMS-04-2017-0030
Li, T., Lu, H., & Zhang, W. (2020). Clinical observation and management of COVID-19 patients. Emerging Microbes & Infections, 9(1), 687–690. https://doi.org/10.1080/22221751.2020.1741327
Lin, L., Jung, M., McCloud, R. F., & Viswanath, K. (2014). Media use and communication inequalities in a public health emergency: A case study of 2009–2010 pandemic influenza a virus subtype H1N1. Public Health Reports, 129, 49–60. https://doi.org/10.1177/00333549141296S408
Liu, Z., Liu, L., & Li, H. (2012). Determinants of information retweeting in microblogging. Internet Research, 22(4), 443–466. https://doi.org/10.1108/10662241211250980
Malik, M. M., & Pfeffer, J. (2016). A Macroscopic analysis of news content in Twitter. Digital Journalism, 4(8), 955–979. https://doi.org/10.1080/21670811.2015.1133249
Manzanaro, L., Valor, C., & Paredes-Gázquez, J. D. (2018). Retweet if you please! Do news factors explain engagement? Journal of Marketing Communications, 24(4), 375–392. https://doi.org/10.1080/13527266.2018.1428818
McGregor, S. C., & Molyneux, L. (2020). Twitter’s influence on news judgment: An experiment among journalists. Journalism, 21(5), 597–613. https://doi.org/10.1177/1464884918802975
Medialab. (2020). Quem Somos. Estadão. http://pt.raizen.com.br/a-raizen/quem-somos
Meier, H. E., Mutz, M., Glathe, J., Jetzke, M., & Hölzen, M. (2019). Politicization of a Contested Mega Event: The 2018 FIFA World Cup on Twitter. Communication and Sport, 1, 1–26. https://doi.org/10.1177/2167479519892579
Mihunov, V. V., Lam, N. S. N., Zou, L., Wang, Z., & Wang, K. (2020). Use of Twitter in disaster rescue: lessons learned from Hurricane Harvey. International Journal of Digital Earth, 0(0), 1–13. https://doi.org/10.1080/17538947.2020.1729879
Molyneux, L., & Mourão, R. R. (2019). Political journalists’ normalization of Twitter: Interaction and new affordances. Journalism Studies, 20(2), 248–266. https://doi.org/10.1080/1461670X.2017.1370978
Murthy, D., & Longwell, S. A. (2013). Twitter and disasters: The uses of Twitter during the 2010 Pakistan floods. Information Communication and Society, 16(6), 837–855. https://doi.org/10.1080/1369118X.2012.696123
O’, B., Hallarn, N. A., Shapiro, S. L., & Pegoraro, A. (2018). Hashmoney: Exploring Twitter hashtag use as a secondary ticket market price determinant. International Journal of Sport Management and Marketing, 18(3), 199. https://doi.org/10.1504/IJSMM.2018.091754
Oliveira, M. (2020). País registra crescimento de circulação de jornais em 2019. PropMark. https://propmark.com.br/midia/pais-registra-crescimento-de-circulacao-de-jornais-em-2019/
Paulussen, S., & Harder, R. A. (2014). Social Media References in Newspapers. Journalism Practice, 8(5), 542–551. https://doi.org/10.1080/17512786.2014.894327
Pedro-carañana, J., Alvarado-vivas, S., & López-lópez, J. S. (2020). Agenda-setting and power relations during the 2018 Colombian election campaign on Twitter. The Journal of International Communication, 0(0), 1–21. https://doi.org/10.1080/13216597.2020.1806900
Pew Research Center. (2019). Key findings about the online news landscape in America. In Facktank - News in the numbers. http://www.pewresearch.org/fact-tank/2018/10/19/5-charts-on-global-views-of-china/
Potts, L., Seitzinger, J., Jones, D., & Harrison, A. (2011). Tweeting disaster: Hashtag constructions and collisions. Proceedings of the 29th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 235–240. https://doi.org/10.1145/2038476.2038522
Pulido, C. M., Villarejo-Carballido, B., Redondo-Sama, G., & Gómez, A. (2020). COVID-19 infodemic: More retweets for science-based information on coronavirus than for false information. International Sociology, 35(4), 377–392. https://doi.org/10.1177/0268580920914755
Ratzan, S. C., & Moritsugu, K. P. (2014). Ebola crisis - Communication chaos we can avoid. Journal of Health Communication, 19(11), 1213–1215. https://doi.org/10.1080/10810730.2014.977680
Roxby, P. (2020). Coronavirus confirmed as pandemic by World Health Organization. BBC News.
Russell, F. M. (2019). Twitter and nws gatekeeping: Interactivity, reciprocity, and promotion in news organizations’ tweets. Digital Journalism, 7(1), 80–99. https://doi.org/10.1080/21670811.2017.1399805
Sackl-Sharif, S., Goldgruber, E., Ausserhofer, J., Gutounig, R., & Reimerth, G. (2018). Flows of water and information: Reconstructing online communication during the 2013 european floods in Austria. In Social Media Use in Crisis and Risk Communication (pp. 155–181). https://doi.org/10.1108/978-1-78756-269-120181012
Salazar, E. (2017). Hashtags 2.0 - An annotated history of the hashtag and a window to its future. Revista ICONO14 Revista Científica de Comunicación y Tecnologías Emergentes, 15(2), 16. https://doi.org/10.7195/ri14.v15i2.1091
Sanar Saúde. (2020). Linha do tempo do Coronavírus no Brasil. SanarMed. https://www.sanarmed.com/linha-do-tempo-do-coronavirus-no-brasil
Sheffer, M. Lou, Schultz, B., & Tubbs, W. (2018). #Deflategate: Sports journalism and the use of image repair strategy on twitter. In Newspaper Research Journal (Vol. 39, Issue 1, pp. 69–82). https://doi.org/10.1177/0739532918761067
Silva, C. M. da, Borda, D., & Tasca, J. E. (2020). Decreto No 515, de 17 de março de 2020.
Smith, L. R., Pegoraro, A., & Cruikshank, S. A. (2019). Tweet, retweet, favorite: The impact of Twitter use on enjoyment and sports viewing. Journal of Broadcasting and Electronic Media, 63(1), 94–110. https://doi.org/10.1080/08838151.2019.1568805
Soboleva, A., Burton, S., Daellenbach, K., & Basil, D. Z. (2017). Tweets for tots: using Twitter to promote a charity and its supporters. Journal of Consumer Marketing, 34(6), 515–523. https://doi.org/10.1108/JCM-03-2017-2123
Soboleva, A., Burton, S., Mallik, G., & Khan, A. (2017). ‘Retweet for a chance to…’: an analysis of what triggers consumers to engage in seeded eWOM on Twitter. Journal of Marketing Management, 33(13–14), 1120–1148. https://doi.org/10.1080/0267257X.2017.1369142
Steensen, S. (2018). Tweeting Terror: An Analysis of the Norwegian Twitter-sphere during and in the Aftermath of the 22 July 2011 Terrorist Attack. In Social Media Use in Crisis and Risk Communication (Issue July, pp. 15–41). https://doi.org/10.1108/978-1-78756-269-120181006
Suh, B., Hong, L., Pirolli, P., & Chi, E. H. (2010). Want to be retweeted? Large scale analytics on factors impacting retweet in twitter network. Proceedings - SocialCom 2010: 2nd IEEE International Conference on Social Computing, PASSAT 2010: 2nd IEEE International Conference on Privacy, Security, Risk and Trust, 177–184. https://doi.org/10.1109/SocialCom.2010.33
Tewksbury, D. (2003). What do americans really want to know? Tracking the behavior of news readers on the internet. Journal of Communication, 53(4), 694–710. https://doi.org/10.1093/joc/53.4.694
Tiong, T. N. (2004). Crisis theory and sars:singapore’s management of the epidemic. Asian Pacific Journal of Social Work, 14(1), 7–17. https://doi.org/10.1080/21650993.2004.9755939
Tong, J., & Lo, S. H. (2017). Practising Journalism on Twitter? A Computational Analysis of British Journalists’ Use of Twitter Before the 2016 EU Referendum in the UK. In Digital Technology and Journalism (pp. 291–314). Palgrave Macmillan. https://doi.org/10.1007/978-3-319-55026-8
Wang, R., Liu, W., & Gao, S. (2016). Hashtag and information Virality in networked social movement: Examining hashtag Co-occurrence patterns introduction. Online Information Review, 40(7), 850–866.
Wihbey, J., Joseph, K., & Lazer, D. (2019). The social silos of journalism? Twitter, news media and partisan segregation. New Media and Society, 21(4), 815–835. https://doi.org/10.1177/1461444818807133
Yamamoto, S., Wakabayashi, K., Kando, N., & Satoh, T. (2016). Twitter user tagging method based on burst time series. International Journal of Web Information Systems, 12(3), 292–311. https://doi.org/10.1108/IJWIS-03-2016-0012
Yan, G., Watanabe, N. M., Shapiro, S. L., Naraine, M. L., & Hull, K. (2019). Unfolding the Twitter scene of the 2017 UEFA Champions League Final: social media networks and power dynamics. European Sport Management Quarterly, 19(4), 419–436. https://doi.org/10.1080/16184742.2018.1517272
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