715
Views
0
CrossRef citations to date
0
Altmetric
Research Article

The Dynamics of Information-Seeking Repertoires: A Cross-Sectional Latent Class Analysis of Information-Seeking During the COVID-19 Pandemic

ORCID Icon, ORCID Icon & ORCID Icon

References

  • Andersen, K., Johansson, J., Shehata, A., & Johansson, B. (2022). Maintenance and reformation of news repertoires: A latent transition analysis. Journalism & Mass Communication Quarterly, 99(1), 237–261. https://doi.org/10.1177/10776990211019750
  • Andersson, U. (2021). Förtroende för medier: Vinnare och förlorare under pandemin [Media trust: Winners and losers during the pandemic]. SOM-institute.
  • Anthony, K. E., Sellnow, T. L., & Millner, A. G. (2013). Message convergence as a message centered approach to analyzing and improving risk communication. Journal of Applied Communication Research, 41(4), 346–364. https://doi.org/10.1080/00909882.2013.844346
  • Bengtsson, S., & Johansson, B. (2018). Media micro-generations: How new technologies change our media morality. Nordicom Review, 39(2), 95–110. https://doi.org/10.2478/nor-2018-0014
  • Berner, J., Rennemark, M., Jogréus, C., Anderberg, P., Sköldunger, A., Wahlberg, M., Elmståhl, S., & Berglund, J. (2015). Factors influencing Internet usage in older adults (65 years and above) living in rural and urban Sweden. Health Informatics Journal, 21(3), 237–249. https://doi.org/10.1177/1460458214521226
  • Bos, L., Kruikemeier, S., de Vreese, C., & Chialvo, D. R. (2016). Nation binding: How public service broadcasting mitigates political selective exposure. PLoS ONE, 11(5), article e0155112. https://doi.org/10.1371/journal.pone.0155112
  • Castro, L., Strömbäck, J., Esser, F., Van Aelst, P., de Vreese, C., Aalberg, T., Cardenal, A.S., Corbu, N., Hopmann, D.N. and Matthes, J. (2021). Navigating high-choice European political information environments: A comparative analysis of news user profiles and political knowledge. The International Journal of Press/politics, 27(4), 827–859. https://doi.org/10.1177/19401612211012572
  • Clark, S. L., & Muthén, B. (2009). Relating latent class analysis results to variables not included in the analysis [Unpublished paper]. www.statmodel.com/download/relatinglca.pdf
  • Clarke, P., & Kline, F. G. (1974). Media effects reconsidered: Some new strategies for communication research. Communication Research, 1(2), 224–240. https://doi.org/10.1177/009365027400100205
  • Collins, L. M., & Lanza, S. T. (2009). Latent class and latent transition analysis: With applications in the social, behavioral, and health sciences (Vol. 718). John Wiley & Sons.
  • Dahlgren, P., Shehata, A., & Strömbäck, J. (2019). Reinforcing spirals at work? Mutual influences between selective news exposure and ideological leaning. European Journal of Communication, 34(2), 159–174. https://doi.org/10.1177/0267323119830056
  • Edgerly, S. (2015). Red media, blue media, and purple media: News repertoires in the colorful media landscape. Journal of Broadcasting & Electronic Media, 59(1), 1–21. https://doi.org/10.1080/08838151.2014.998220
  • Fletcher, R., & Park, S. (2017). The impact of trust in the news media on online news consumption and participation. Digital Journalism, 5(10), 1281–1299. https://doi.org/10.1080/21670811.2017.1279979
  • Folkhälsomyndigheten. (2021, September 7). Många restriktioner tas bort den 29 september. https://www.folkhalsomyndigheten.se/nyheter-och-press/nyhetsarkiv/2021/september/manga-restriktioner-tas-bort-den-29-september/
  • Folkhälsomyndigheten. (2023a). Avlidna fall med COVID-19. https://www.folkhalsomyndigheten.se/faktablad/fall-covid-19/
  • Folkhälsomyndigheten. (2023b). Bekräftade fall av COVID-19 i Sverige. https://www.folkhalsomyndigheten.se/faktablad/fall-covid-19/-
  • Ghersetti, M., & Westlund, O. (2018). Habits and generational media use. Journalism Studies, 19(7), 1039–1058. https://doi.org/10.1080/1461670X.2016.1254061
  • Goyanes, M., Ardèvol-Abreu, A., & Gil de Zúñiga, H. (2021). Antecedents of news avoidance: Competing effects of political interest, news overload, trust in news media, and “news finds me” perception. Digital Journalism, 11(1), 1–18. https://doi.org/10.1080/21670811.2021.1990097
  • Ha, L., Xu, Y., Yang, C., Wang, F., Yang, L., Abuljadail, M., Hu, X., Jiang, W., & Gabay, I. (2018). Decline in news content engagement or news medium engagement? A longitudinal analysis of news engagement since the rise of social and mobile media 2009–2012. Journalism, 19(5), 718–739.
  • Hasebrink, U., & Domeyer, H. (2012). Media repertoires as patterns of behaviour and as meaningful practices: A multimethod approach to media use in converging media environments. Participations, 9(2), 757–779.
  • Hasebrink, U., & Popp, J. (2006). Media repertoires as a result of selective media use. A conceptual approach to the analysis of patterns of exposure. Communications, 31(3), 369–387. https://doi.org/10.1515/COMMUN.2006.023
  • Houston, J. B., Thorson, E., Kim, E., & Mantrala, M. K. (2021). COVID-19 communication ecology: Visualizing communication resource connections during a public health emergency using network analysis. American Behavioral Scientist, 65(7), 893–913. https://doi.org/10.1177/0002764221992811
  • Ihlen, Ø., Johansson, B., & Blach-Ørsten, M. (2022). Experiencing covid-19 in Denmark, Norway and Sweden: The role of the nordic model. In R. Tench, J. Meng, & Á. Moreno (Eds.), Strategic communication in a global crisis: National and international responses to the covid-19 pandemic (pp. 184–198). Routledge. https://doi.org/10.4324/9781003184669-17
  • Jackob, N. G. E. (2010). No alternatives? The relationship between perceived media dependency, use of alternative information sources, and general trust in mass media. International Journal of Communication, 4, 589–606. https://doi.org/10.1932/8036/20100589
  • Johansson, B., Ihlen, Ø., Lindholm, J., & Blach-Ørsten, M. (2023). Introduction: Communicating a pandemic in the Nordic countries. In B. Johansson, Ø. Ihlen, J. Lindholm, & M. Blach-Ørsten (Eds.), Communicating a pandemic: Crisis management and covid-19 in the Nordic countries (pp. 11–30). Nordicom, University of Gothenburg. https://doi.org/10.48335/9789188855688-1
  • Johansson, B., & Vigsø, O. (2021). Sweden: Lone hero or stubborn outlier? In D. Lilleker, I. A. Coman, M. Gregor, & E. Novelli (Eds.), Political communication and COVID-19: Governance and rhetoric in times of crisis (pp. 155–164). Routledge.
  • Kalogeropoulos, A., Suiter, J., Udris, L., & Eisenegger, M. (2019). News media trust and news consumption: Factors related to trust in news in 35 countries. International Journal of Communication, 13, 3672–3693.
  • Karnowski, V. (2017). Latent class analysis. The International Encyclopedia of Communication Research Methods, 1–10.
  • Kuttschreuter, M., Rutsaert, P., Hilverda, F., Regan, Á., Barnett, J., & Verbeke, W. (2014). Seeking information about food-related risks: The contribution of social media. Food Quality and Preference, 37, 10–18. https://doi.org/10.1016/j.foodqual.2014.04.006
  • Lachlan, K. A., Spence, P. R., & Lin, X. (2014). Expressions of risk awareness and concern through twitter: On the utility of using the medium as an indication of audience needs. Computers and Human Behavior, 35, 554–559. https://doi.org/10.1016/j.chb.2014.02.029
  • LaRose, R. (2010). The problem of media habits. Communication Theory, 20(2), 194–222. https://doi.org/10.1111/j.1468-2885.2010.01360.x
  • Lee, Y., & Jin, Y. (2019). Crisis information seeking and sharing (CISS): Scale development for measuring publics’ communicative behavior in social-mediated public health crises. Journal of International Crisis and Risk Communication Research, 2(1), 13–38. https://doi.org/10.30658/jicrcr.2.1.2
  • Lindell, J. (2017). Distinction recapped: Digital news repertoires in the class structure. New Media & Society, 20(8), 3029–3049. https://doi.org/10.1177/1461444817739622
  • Liu, B. F., Xu, S., Lim, J. R., & Egnoto, M. (2019). How publics’ active and passive communicative behaviors affect their tornado responses: An integration of STOPS and SMCC. Public Relations Review, 45(4), article 101831. https://doi.org/10.1016/j.pubrev.2019.101831
  • Mangold, F., & Bachl, M. (2018). New news media, new opinion leaders? How political opinion leaders navigate the modern high-choice media environment. Journal of Communication, 68(5), 896–919. https://doi.org/10.1093/joc/jqy033
  • McCutcheon, A. L. (1987). Latent class analysis No. 64. SAGE. https://doi.org/10.4135/9781412984713
  • Morgan, G., Hodge, K., & Baggett, A. (2016). Latent profile analysis with nonnormal mixtures: A monte carlo examination of model selection using fit indices. Computational Statistics & Data Analysis, 93, 146–161. https://doi.org/10.1016/j.csda.2015.02.019
  • Mourao, R. R., Thorson, E., Chen, W., & Tham, S. M. (2018). Media repertoires and news trust during the early Trump administration. Journalism Studies, 19(13), 1945–1956. https://doi.org/10.1080/1461670X.2018.1500492
  • Müller, P., & Schulz, A. (2021). Alternative media for a populist audience? Exploring political and media use predictors of exposure to Breitbart, sputnik, and co. Information, Communication & Society, 24(2), 277–293. https://doi.org/10.1080/1369118X.2019.1646778
  • Muthén, B. O. (2008). What is a good value of entropy? http://www.statmodel.com/discussion/messages/13/2562.html?1487458497
  • Newman, N., Fletcher, R., Schultz, A., Simge, A., Robertson, C. T., & Nielsen, R. K. (2021). Reuters Institute Digital News Report 2021 10. Reuters Institute.
  • Nylund, K., Asparouhov, T., & Muthén, B. (2007). Deciding on the number of classes in latent class analysis and growth mixture modeling: A monte carlo simulation study. Structural Equation Modeling: A Multidisciplinary Journal, 14(4), 535–569. https://doi.org/10.1080/10705510701575396
  • Prior, M. (2007). Post-broadcast democracy: How media choice increases inequality in political involvement and polarizes elections. Cambridge University Press.
  • Rasmussen, J., & Ihlen, Ø. (2017). Risk, crisis, and social media: A systematic review of seven years’ research. Nordicom Review, 38(2), 1–17. https://doi.org/10.1515/nor-2017-0393
  • Schrøder, K. C. (2011). Audiences are inherently cross-media: Audience studies and the crossmedia challenge. Communication Management Quarterly, 18(6), 5–27.
  • Sellnow, D. D., Lane, D. R., Sellnow, T. L., & Littlefield, R. S. (2017). The IDEA model as a best practice for effective instructional risk and crisis communication. Communication Studies, 68(5), 552–567. https://doi.org/10.1080/10510974.2017.1375535
  • Sellnow, T. L., Sellnow, D. D., Lane, D. R., & Littlefield, R. S. (2012). The value of instructional communication in crisis situations: Restoring order to chaos. Risk Analysis: An International Journal, 32(4), 633–643. https://doi.org/10.1111/j.1539-6924.2011.01634.x
  • Shulman, H. C., Bullock, O. M., & Riggs, E. E. (2021). The interplay of jargon, motivation, and fatigue while processing COVID-19 crisis communication over time. Journal of Language and Social Psychology, 40(5–6), 546–573. https://doi.org/10.1177/0261927X211043100
  • Slater, M. D. (2007). Reinforcing spirals: The mutual influence of media selectivity and media effects and their impact on individual behavior and social identity. Communication Theory, 17(3), 281–303. https://doi.org/10.1111/j.1468-2885.2007.00296.x
  • Sommerfeldt, E. J. (2015). Disasters and information source repertoires: Information seeking and information sufficiency in postearthquake Haiti. Journal of Applied Communication Research, 43(1), 1–22. https://doi.org/10.1080/00909882.2014.982682
  • Spence, P. R., Lachlan, K. A., & Burke, J. A. (2011). Differences in crisis knowledge across age, race, and socioeconomic status during Hurricane Ike: A field test and extension of the knowledge gap hypothesis. Communication Theory, 21(3), 261–278. https://doi.org/10.1111/j.1468-2885.2011.01385.x
  • Spence, P. R., Lachlan, K. A., & Griffin, D. R. (2007). Crisis communication, race, and natural disasters. Journal of Black Studies, 37(4), 539–554. https://doi.org/10.1177/0021934706296192
  • Spence, P. R., Lachlan, K. A., & Westerman, D. (2009). Presence, sex, and bad news: Exploring the responses of men and women to tragic news stories in varying media. Journal of Applied Communication Research, 37(3), 239–256. https://doi.org/10.1080/00909880903025929
  • Spurk, D., Hirschi, A., Wang, M., Valero, D., & Kauffeld, S. (2020). Latent profile analysis: A review and “how to” guide of its application within vocational behavior research. Journal of Vocational Behavior, 120. article 103445. https://doi.org/10.1016/j.jvb.2020.103445
  • Strömbäck, J., Djerf-Pierre, M., & Shehata, A. (2013). The dynamics of political interest and news media consumption: A longitudinal perspective. International Journal of Public Opinion Research, 25(4), 414–435. https://doi.org/10.1093/ijpor/eds018
  • Strömbäck, J., Falasca, K., & Kruikemeier, S. (2018). The mix of media use matters: Investigating the effects of individual news repertoires on offline and online political participation. Political Communication, 35(3), 413–432. https://doi.org/10.1080/10584609.2017.1385549
  • Strömbäck, J., Tsfati, Y., Boomgaarden, H., Damstra, A., Lindgren, E., Vliegenthart, R., & Lindholm, T. (2020). News media trust and its impact on media use: Toward a framework for future research. Annals of the International Communication Association, 44(2), 139–156. https://doi.org/10.1080/23808985.2020.1755338
  • Taneja, H., Webster, J. G., Malthouse, E. C., & Ksiazek, T. B. (2012). Media consumption across platforms: Identifying user-defined repertoires. New Media & Society, 14(6), 951–968. https://doi.org/10.1177/1461444811436146
  • Trilling, D., & Schönbach, K. (2013). Patterns of news consumption in Austria: How fragmented are they? International Journal of Communication, 7, 929–953.
  • Tsfati, Y. (2010). Online news exposure and trust in the mainstream media: Exploring possible associations. American Behavioral Scientist, 54(1), 22–42. https://doi.org/10.1177/0002764210376309
  • Tsfati, Y., & Cappella, J. N. (2003). Do people watch what they do not trust? Exploring the association between news media skepticism and exposure. Communication Research, 30(5), 504–529. https://doi.org/10.1177/0093650203253371
  • Uslander, E. (Ed.). (2018). The Oxford handbook of social and political trust. Oxford University Press. https://doi.org/10.1093/oxfordhb/9780190274801.001.0001
  • Van Aelst, P., Strömbäck, J., Aalberg, T., Esser, F., De Vreese, C., Matthes, J. Hopmann, D., Salgado, S., Hubé, N., Stępińska, A., & Papathanassopoulos, S., Stanyer, J. (2017). Political communication in a high-choice media environment: A challenge for democracy? Annals of the International Communication Association, 41(1), 3–27. https://doi.org/10.1080/23808985.2017.1288551
  • Van Aelst, P., Toth, F., Castro, L., Štětka, V., Vreese, C.D., Aalberg, T., Cardenal, A.S., Corbu, N., Esser, F., Hopmann, D.N., & Koc-Michalska, K. (2021). Does a crisis change news habits? A comparative study of the effects of COVID-19 on news media use in 17 European countries. Digital Journalism, 9(9), 1208–1238. https://doi.org/10.1080/21670811.2021.1943481
  • Van Eijck, K., & Van Rees, K. (2000). Media orientation and media use television viewing behavior of specific reader types from 1975 to 1995. Communication Research, 27(5), 574–616. https://doi.org/10.1177/009365000027005002
  • Vandenplas, R., Truyens, P., Vis, S., & Picone, I. (2021). Tuning out the news: A cross-media perspective on news avoidance practices of young news users in Flanders during the COVID-19 pandemic. Journalism Studies, 22(16), 2197–2217. https://doi.org/10.1080/1461670X.2021.1990788
  • Vigsø, O., & Odén. (2016). The dynamics of sensemaking and information seeking in a crisis situation. Nordicom Review, 37(1), 71–84. https://doi.org/10.1515/nor-2016-0003
  • Wang, W., & Ahern, L. (2015). Acting on surprise: Emotional response, multiple-channel information seeking and vaccination in the H1N1 flu epidemic. Social Influence, 10(3), 137–148. https://doi.org/10.1080/15534510.2015.1011227
  • Weller, B. E., Bowen, N. K., & Faubert, S. J. (2020). Latent class analysis: A guide to best practice. Journal of Black Psychology, 46(4), 287–311. https://doi.org/10.1177/0095798420930932
  • Westlund, O., & Ghersetti, M. (2015). Modelling news media use. Journalism Studies, 16(2), 133–151. https://doi.org/10.1080/1461670X.2013.868139
  • Yang, Z. J., & Kahlor, L. (2013). What, me worry? The role of affect in information seeking and avoidance. Science communication, 35(2), 189–212.
  • Yuan, E. (2011). News consumption across multiple media platforms: A repertoire approach. Information, Communication & Society, 14(7), 998–1016. https://doi.org/10.1080/1369118X.2010.549235
  • Zhao, X., & Tsang, S. J. (2021). Self-protection by fact-checking: How pandemic information seeking and verifying affect preventive behaviors. Journal of Contingencies and Crisis Management, 30(2), 171–184. https://doi.org/10.1111/1468-5973.12372
  • Zhao, X., Xu, S., & Austin, L. L. (2022). Medium and source convergence in crisis information acquisition: Patterns, antecedents, and outcomes. New Media & Society, 146144482210888. https://doi.org/10.1177/14614448221088866