Human information behavior during the Covid-19 health crisis. A literature review

Montesi, Michela Human information behavior during the Covid-19 health crisis. A literature review. Library and Information Science Research, 2021, vol. 43, n. 4. [Journal article (Unpaginated)]

[thumbnail of HIB during the Covid-19 health crisis.pdf]
Preview
 Text
HIB during the Covid-19 health crisis.pdf - Published version
Available under License Creative Commons Attribution.
Download (785kB) | Preview

English abstract

The research carried out on human information behavior (HIB) during the Covid-19 health crisis was reviewed, with the premise that HIB and information practices allow humans to adapt to the changing circumstances of existence. A literature search was run on the LISTA and Google Scholar databases from middle March 2020 up to the end of March 2021. After filtering retrieved results, 52 studies were selected. Results are summarized into seven main themes, including the use of traditional and social media, infoveillance of search engines and social media activity, misinformation, disinformation and infodemics, and uncertainty and emotions. Results point to the need to carry out additional research in specific contexts and addressing vulnerable and marginalized groups. Further areas of inquiry include the interplay of emotions, knowledge and behaviors during the information seeking process, a better understanding of local knowledge and experiential knowledge, and the need to comprehend the limitations of ICT.

Item type: Journal article (Unpaginated)
Keywords: Human, information behavior, Covid-19, pandemic, Information and communication technologies, Emotions, Experiential knowledge.
Subjects: B. Information use and sociology of information > BA. Use and impact of information.
B. Information use and sociology of information > BC. Information in society.
Depositing user: Michela Montesi
Date deposited: 08 Aug 2024 13:07
Last modified: 08 Aug 2024 13:07
URI: http://hdl.handle.net/10760/45364

References

Abedin, B., & Babar, A. (2018). Institutional vs. non-institutional use of social media during emergency response: A case of twitter in 2014 Australian bush fire. Information Systems Frontiers, 20(4), 729-740.

Abunyewah, M., Gajendran, T., Maund, K., & Okyere, S. A. (2020). Strengthening the information deficit model for disaster preparedness: Mediating and moderating effects of community participation. International journal of disaster risk reduction, 46, 101492.

Agarwal NK, Alsaeedi F. (2020). Understanding and fighting disinformation and fake news: Towards an information behavior framework. Proceedings of the 83rd Annual Meeting of the Association for Information Science & Technology October 25‐29, 57(1): e327.

Alfonso Sánchez, I., Fernández Valdés, M.M. (2020). Comportamiento informacional, infodemia y desinformación durante la pandemia de COVID-19. Anales de la Academia de Ciencias de Cuba, 10(2), 882.

Al-Hasan, A., Yim, D., & Khuntia, J. (2020). Citizens’ Adherence to COVID-19 Mitigation Recommendations by the Government: A 3-Country Comparative Evaluation Using Web-Based Cross-Sectional Survey Data. Journal of Medical Internet Research, 22(8), e20634.

Ali, K. F., Whitebridge, S., Jamal, M. H., Alsafy, M., & Atkin, S. L. (2020). Perceptions, knowledge, and behaviors related to COVID-19 among social media users: cross-sectional study. Journal of Medical Internet Research, 22(9), e19913.

Ashrafi-rizi, H., & Kazempour, Z. (2020). Information typology in coronavirus (COVID-19) crisis; a commentary. Archives of Academic Emergency Medicine, 8(1), e19.

Ayre, L. B. (2020). What More Can We Do to Address Broadband Inequity and Digital Poverty? Information Technology and Libraries, 39(3), https://doi.org/10.6017/ital.v39i3.12619

Baillergeau, E., & Duyvendak, J. W. (2016). Experiential knowledge as a resource for coping with uncertainty: evidence and examples from the Netherlands. Health, Risk & Society, 18(7-8), 407-426.

Barahmand, N., Nakhoda, M., Fahimnia, F., Nazari, M. “Understanding everyday life information seeking behavior in the context of coping with daily hassles: A grounded theory study of female students”. Library & Information Science Research, 2019, 41(4), 100980.

Barbarin, A. M., Klasnja, P., & Veinot, T. C. (2016). Good or bad, ups and downs, and getting better: Use of personal health data for temporal reflection in chronic illness. International Journal of Medical Informatics, 94, 237-245.

Boroon, L. (2018). The dark side of online social networks (OSNs): exploring users' negative experiences (Master dissertation). Faculty of Engineering and Information Technology School of Management and Leadership Sydney, Australia, retrieved from: https://opus.lib.uts.edu.au/bitstream/10453/128054/2/02whole.pdf

Boroon, L., Abedin, B., & Erfani, S. (2019, December). Addiction to Social Network Site Use: An Information Technology Identity Perspective. 30Th Australasian Conference on Information Systems (ACIS), Perth, Australia, 9-11 December. Retrieved from: https://opus.cloud.lib.uts.edu.au/bitstream/10453/137771/1/ACIS2019_camera%20ready.pdf

Burke, J. A., Spence, P. R., & Lachlan, K. A. (2010). Crisis preparation, media use, and information seeking during Hurricane Ike: Lessons learned for emergency communication. Journal of Emergency Management, 8(5), 27-37.

Case, D.O., Given, L.M. (2016). Looking for information. A survey of research on information seeking, needs, and behavior. Bingley, UK: Emerald.

Chen, A. T. (2016). The relationship between health management and information behavior over time: A study of the illness journeys of people living with fibromyalgia. Journal of Medical Internet Research, 18(10), e5309.

Chen, J. (2020). Beyond Information Organization and Evaluation: How Can Information Scientists Contribute to Independent Thinking? Data and Information Management, 4(3), 171-176.

Chivers, B. R., Garad, R. M., Boyle, J. A., Skouteris, H., Teede, H. J., & Harrison, C. L. (2020). Perinatal Distress During COVID-19: Thematic Analysis of an Online Parenting Forum. Journal of Medical Internet Research, 22(9), e22002.

Choudrie, J., Banerjee, S., Kotecha, K., Walambe, R., Karende, H., & Ameta, J. (2021). Machine learning techniques and older adults processing of online information and misinformation: A covid 19 study. Computers in Human Behavior, 119, 106716.

Cibangu, K.S. (2015). A new direction in information science research: making information science a human science. Information Research, 20(3), paper 686.

Cleverley, P. H., Cousins, F., & Burnett, S. (2021). Impact of COVID-19 on search in an organisation. Journal of Information Science, January 2021. doi:10.1177/0165551521989531

Dadaczynski, K., Okan, O., Messer, M., Leung, A. Y., Rosário, R., Darlington, E., & Rathmann, K. (2021). Digital Health Literacy and Web-Based Information-Seeking Behaviors of University Students in Germany During the COVID-19 Pandemic: Cross-sectional Survey Study. Journal of Medical Internet Research, 23(1), e24097.

Dreisiebner, S., März, S., & Mandl, T. (2020). Information behavior during the Covid-19 crisis in German-speaking countries. ArXiv. arXiv:2007.13833.

Erfani, S. S., B. Abedin, Blount, Y. (2017). “The effect of social network site use on the psychological well-being of cancer patients”. Journal of the Association for Information Science and Technology, 68(5), 1.308-1.322.

Eriksson-Backa, K. (2020). Views on Covid-19 information. Informaatiotutkimus, 39(2–3), 54-59.

Esievo, L. O., Ogugua, J. C., Amaechi, N., & Unegbu, M. C. (2020). Factors Affecting Covid 19 Information Needs of Teachers in Oguta, LGA Imo State, Nigeria. International Journal of Library and Information Studies, 10(3), Jul-Sep, 92-97.

Finset, A., Bosworth, H., Butow, P., Gulbrandsen, P., Hulsman, R. L., Pieterse, A. H., ... & van Weert, J. (2020). Effective health communication–a key factor in fighting the COVID-19 pandemic. Patient Education and Counseling, 103(5), 873.

Fourie, I. & Julien H. (2014). Ending the dance: a research agenda for affect and emotion in studies of information behaviour. In Proceedings of ISIC, the Information Behaviour Conference, Leeds, 2-5 September, 2014: Part 1, (paper isic09). Retrieved from http://InformationR.net/ir/19-4/isic/isic09.html [April 26, 2021]

Genuis, S. K., & Bronstein, J. (2017). Looking for “normal”: Sense making in the context of health disruption. Journal of the Association for Information Science and Technology, 68(3), 750-761.

Gibson, L., Tan, A. S., Freres, D., Lewis, N., Martinez, L., & Hornik, R. C. (2016). Nonmedical information seeking amid conflicting health information: negative and positive effects on prostate cancer screening. Health Communication, 31(4), 417-424.

Gomula, J. (2019). Where do I fit along the spectrum?”: Turning to peers to make sense of PCOS symptoms and find “normal for me. Project report submitted in part fulfilment of the requirements for the degree of Master of Science (Human-Computer Interaction with Ergonomics) in the Faculty of Brain Sciences. London: University College London. Retrieved from: https://uclic.ucl.ac.uk/content/2-study/4-current-taught-course/1-distinction-projects/13-19/gomula_julia_2019.pdf [April 26, 2021]

Granderath, J. S., Sondermann, C., Martin, A., & Merkt, M. (2020). The Effect of Information Behavior in Media on Perceived and Actual Knowledge about the COVID-19 Pandemic. PsyArXiv. https://psyarxiv.com/3y874

Hagger, M. S., Cameron, L. D., Hamilton, K., Hankonen, N., & Lintunen, T. (2020), “Changing behavior: A theory-and evidence-based approach”. In: Hagger, M. S., Cameron, L. D., Hamilton, K., Hankonen, N., & Lintunen, T. (eds.), The handbook of behavior change. Cambridge: Cambridge University Press, 1-14.

Händel, M., Bedenlier, S., Gläser-Zikuda, M., Kammerl, R., Kopp, B., & Ziegler, A. (2020). Do Students have the Means to Learn During the Coronavirus Pandemic? Student Demands for Distance Learning in a Suddenly Digital Landscape. PsyArXiv. https://psyarxiv.com/5ngm9/

Husnayain, A., Shim, E., Fuad, A., & Su, E. C. Y. (2020). Understanding the community risk perceptions of the COVID-19 outbreak in South Korea: Infodemiology study. Journal of Medical Internet Research, 22(9), e19788.

Ke, Q., Du, J.T. and Ji, L. (2021), "Toward a conceptual framework of health crisis information needs: an analysis of COVID-19 questions in a Chinese social Q&A website", Journal of Documentation, ahead-of-print, https://doi.org/10.1108/JD-10-2020-0173

Kecojevic, A., Basch, C. H., Sullivan, M., & Davi, N. K. (2020). The impact of the COVID-19 epidemic on mental health of undergraduate students in New Jersey, cross-sectional study. PloS one, 15(9), e0239696.

Keilty, P. and Leazer, G. (2018), "Feeling documents: toward a phenomenology of information seeking", Journal of Documentation, 74(3), 462-489. https://doi.org/10.1108/JD-09-2016-0113

Kelly, M. P., & Barker, M. (2016). Why is changing health-related behaviour so difficult? Public health, 136, 109-116.

Kim, H. K., Ahn, J., Atkinson, L., & Kahlor, L. A. (2020). Effects of COVID-19 Misinformation on Information Seeking, Avoidance, and Processing: A Multicountry Comparative Study. Science Communication, 42(5), 586-615.

Kock, N. (2009). Information systems theorizing based on evolutionary psychology: an interdisciplinary review and theory integration framework. Mis Quarterly, 33(2), 395-418.

Kock, N. (2010). Evolutionary psychology and information systems theorizing. In: Kock, N. (ed) Evolutionary Psychology and Information Systems Research. Boston, MA: Springer, 3-37.

Kuhlthau, C. C. (1991). Inside the search process: Information seeking from the user's perspective. Journal of the American society for information science, 42(5), 361-371.  

Kuhlthau, C. C. (2005), Kuhlthau’s Information Search Process. In: K.E. Fisher, S. Erdelez, & L.E.F. McKechnie (Eds.), Theories of information behavior. Medford, NJ: Information Today, Inc, 230-234.

Lee, J. G., LePrevost, C. E., Harwell, E. L., Bloss, J. E., Cofie, L. E., Wiggins, M. F., & Firnhaber, G. C. (2020). Coronavirus pandemic highlights critical gaps in rural Internet access for migrant and seasonal farmworkers: a call for partnership with medical libraries. Journal of the Medical Library Association: JMLA, 108(4), 651.

Lemos, M. C., Eakin, H., Dilling, L., & Worl, J. (2019). Social sciences, weather, and climate change. Meteorological Monographs, 59(1), 26-1.

Liu, P. L. (2020). COVID-19 Information Seeking on Digital Media and Preventive Behaviors: The Mediation Role of Worry. Cyberpsychology, Behavior, and Social Networking, 23(10), 677-682.

Liu, P. L., & Huang, L. V. (2020). Digital Disinformation About COVID-19 and the Third-Person Effect: Examining the Channel Differences and Negative Emotional Outcomes. Cyberpsychology, Behavior, and Social Networking, 23(11), 789-793

Lopatovska, I. (2014). Toward a model of emotions and mood in the online information search process. Journal of the Association for Information Science and Technology, 65(9), 1775-1793.

Lopatovska, I., Smiley, B. (2013). Proposed model of information behaviour in crisis: the case of Hurricane Sandy. Information Research: An International Electronic Journal, 19(1), 1.

Luetz, J. M., Margus, R., & Prickett, B. (2020). Human Behavior Change for Sustainable Development: Perspectives Informed by Psychology and Neuroscience. In: Leal Filho W., Azul A.M., Brandli L., Özuyar P.G., Wall T. (eds) Quality Education. Encyclopedia of the UN Sustainable Development Goals. Springer, Cham, 397-434. https://doi.org/10.1007/978-3-319-95870-5_12

Magarey, R. D., & Trexler, C. M. (2020). Information: a missing component in understanding and mitigating social epidemics. Humanities and Social Sciences Communications, 7(1), 1-11.

Maldonado, J. K. (2017). “The practical and policy relevance of social network analysis for disaster response, recovery, and adaptation”. In: Jones, E.C., Faas, A.J., (eds.) Social network analysis of disaster response, recovery, and adaptation. Butterworth-Heinemann, 255-267

Mann, D. M., Chen, J., Chunara, R., Testa, P. A., & Nov, O. (2020). COVID-19 transforms health care through telemedicine: evidence from the field. Journal of the American Medical Informatics Association, 27(7), 1132–1135.

Martos, T. C., & Casarin, H. D. C. S. (2020). Saúde, informação e pandemia. Revista Fontes Documentais, 3, 192-202.

McKenzie, P., & Willson, R. (2019). Transitions and social interaction: Making sense of self and situation through engagement with others. Proceedings of the Association for Information Science and Technology, 56(1), 459-462.

Meadowbrooke, C. C., Veinot, T. C., Loveluck, J., Hickok, A., Bauermeister, J. A. (2014). Information behavior and HIV testing intentions among young men at risk for HIV/AIDS, Journal of the Association for Information Science and Technology, 65(3), 609-620.

Moldovan-Johnson, M., L. Martínez, N. Lewis, D. Freres y R. C. Hornik (2014). The role of patient-clinician information engagement and information seeking from nonmedical channels in fruit and vegetable intake among cancer patients. Journal of Health Communication, 19(12), 1359-1376.

Montesi, m. (2020a). "Características situacionales del comportamiento informacional durante el confinamiento por Covid-19: resultados de una encuesta". BiD: textos universitaris de biblioteconomia i documentació, 45 (desembre). https://dx.doi.org/10.1344/BiD2020.45.6

Montesi, M. (2020b). Understanding fake news during the Covid-19 health crisis from the perspective of information behaviour: The case of Spain. Journal of Librarianship and Information Science, October 2020, 10.1177/0961000620949653.

Moreno, Á., Fuentes-Lara, C., & Navarro, C. (2020). Covid-19 communication management in Spain: Exploring the effect of information-seeking behavior and message reception in public’s evaluation. El Profesional de La Información, 29(4), 1–16. https://doi-org.bucm.idm.oclc.org/10.3145/epi.2020.jul.02

Muniz-Rodriguez, K., Ofori, S. K., Bayliss, L. C., Schwind, J. S., Diallo, K., Liu, M., ... & Fung, I. C. H. (2020). Social media use in emergency response to natural disasters: a systematic review with a public health perspective. Disaster medicine and public health preparedness, 14(1), 139-149.

Murphy, M. (2020). Closed Stacks: Image Resources and the Future of Artistic Research Practice During the COVID-19 Pandemic. VRA Bulletin, 47(2), 3, 2020.

Myrick, J. G., & Willoughby, J. F. (2019). Educated but anxious: How emotional states and education levels combine to influence online health information seeking. Health Informatics Journal, 25(3), 649-660.

Naess, L. O. (2013). The role of local knowledge in adaptation to climate change. Wiley Interdisciplinary Reviews: Climate Change, 4(2), 99-106.

Nahl, D. (2004). Measuring the affective information environment of web searchers. Proceedings of the American society for information science and technology, 41(1), 191-197.

Nahl, D. (2005). Affective and cognitive information behavior: Interaction effects in Internet use. Proceedings of the American Society for Information Science and Technology, 42(1).

Nakanishi, H., & Black, J. (2018). Implicit and explicit knowledge in flood evacuations with a case study of Takamatsu, Japan. International journal of disaster risk reduction, 28, 788-797.

Naveh, S. and Bronstein, J. (2019). Sense making in complex health situations: Virtual health communities as sources of information and emotional support. Aslib Journal of Information Management, 71(6), 789-805.

Ojaranta, A., Ahmadinia, H., & Eskola, E. L. (2020). Preliminary investigation of individuals as information sources among two language minorities during COVID-19 pandemic in Finland. Informaatiotutkimus, 39(2–3), 116-120.

Okan, O., Bollweg, T. M., Berens, E. M., Hurrelmann, K., Bauer, U., & Schaeffer, D. (2020). Coronavirus-related health literacy: A cross-sectional study in adults during the COVID-19 infodemic in Germany. International Journal of Environmental Research and public health, 17(15), 5503.

Oyovwe-Tinuoye, G. O.; Omosekejimi Ademola, F. (2020). Covid 19 Information Seeking Behaviors of Nigerian Health Practitionals: A Study of Medical Doctors in Delta State. Library Philosophy and Practice, April, 1-15.

Pan, S. L., & Zhang, S. (2020). From fighting COVID-19 pandemic to tackling sustainable development goals: An opportunity for responsible information systems research. International Journal of Information Management, 55, https://doi.org/10.1016/j.ijinfomgt.2020.102196.

Pan, S. L., Cui, M., Qian, J. (2020). Information Resource Orchestration during the COVID-19 Pandemic: A Study of Community Lockdowns in China. International Journal of Information Management, 54, October, https://doi.org/10.1016/j.ijinfomgt.2020.102143.

Pang, N. (2014). Crisis-based information seeking: Monitoring versus blunting in the information seeking behaviour of working students during the Southeast Asian Haze Crisis. In: Proceedings of ISIC, the Information Behaviour Conference, Leeds, 2-5 September, 2014: Part 1, (paper isic14). Retrieved from: http://InformationR.net/ir/19-4/isic/isic14.html [April 26, 2021]

Pang, N., Karanasios, S., Anwar, M. (2020). “Exploring the information worlds of older persons during disasters. Journal of the Association for Information Science and Technology, 71(6), 619-631.

Park, H. W., Park, S., & Chong, M. (2020). Conversations and medical news frames on twitter: Infodemiological study on covid-19 in South Korea. Journal of Medical Internet Research, 22(5), e18897.

Pelling, M. (2010). Adaptation to climate change: from resilience to transformation. London and New York: Routledge.

Perlman, A., Zilberg, A. V., Bak, P., Dreyfuss, M., Leventer-Roberts, M., Vurembrand, Y., Jeffies, H.E., Fisher, E., Steuerman, Y., Namir, Y., Goldschmidt, Y., and Souroujon, D. (2020). Characteristics and Symptoms of App Users Seeking COVID-19–Related Digital Health Information and Remote Services: Retrospective Cohort Study. Journal of Medical Internet Research, 22(10), e23197.

Perttilä, R., & Ek, S. (2010). Information behaviour and coping functions of long-term unemployed people in Finland. Libri, 60(2), 107-116.

Pirolli, P. (2003), “Exploring and finding information”. In Carroll, J.M., (ed.), HCI Models, Theories and Frameworks. Towards a multidisciplinary science, San Francisco, CA: Elsevier, 157-191.

Pirolli, P. (2007). “Information Foraging Theory Framework and Method”. In: Pirolli, P. (ed.), Information foraging theory: Adaptive interaction with information. Oxford: Oxford University Press, 3-29.

Popay, J., “What will it take to get the evidential value of lay knowledge recognised?” International Journal of Public Health, 63, (2018): 1013-1014, https://doi.org/10.1007/s00038-018-1145-z.

Rak, D. (2020). Impact of COVID-19 on the Information Literacy of Business Sharing Group Users. Zagadnienia Informacji Naukowej-Studia Informacyjne, 58(2A), 86-97.

Ramírez, A. S., D. Freres, L. S. Martínez, N. Lewis, A. Bourgoin, B. J. Kelly y R. C. Hornik (2013): “Information seeking from media and family/friends increases the likelihood of engaging in healthy lifestyle behaviors”. Journal of Health Communication, 18(5), 527-542.

Rubenstein, E. L. (2015). “They are always there for me”: The convergence of social support and information in an online breast cancer community. Journal of the Association for Information Science and Technology, 66(7), 1418-1430.

Ryan, B. (2018). Establishing information seeking pathways in slow and flash floods. International journal of disaster risk reduction, 31, 9-19.

Sakurai, M., & Chughtai, H. (2020). Resilience against crises: COVID-19 and lessons from natural disasters. European Journal of Information Systems, 29(5), 585-594, 10.1080/0960085X.2020.1814171

Sarker, A., Lakamana, S., Hogg-Bremer, W., Xie, A., Al-Garadi, M. A., & Yang, Y. C. (2020). Self-reported COVID-19 symptoms on Twitter: An analysis and a research resource. Journal of the American Medical Informatics Association, 27(8), 1310–1315, https://doi.org/10.1093/jamia/ocaa116

Savolainen, R. (2018). Berrypicking and information foraging: Comparison of two theoretical frameworks for studying exploratory search. Journal of Information Science, 44(5), 580-593.

Sen, B. A., & Spring, H. (2013). Mapping the information-coping trajectory of young people with long term illness. Journal of Documentation, 69(5), pp. 638-666. https://doi.org/10.1108/JD-10-2012-0133

Shen, C., Chen, A., Luo, C., Zhang, J., Feng, B., & Liao, W. (2020). Using reports of symptoms and diagnoses on social media to predict COVID-19 case counts in mainland China: Observational infoveillance study. Journal of Medical Internet Research, 22(5), e19421.

Shen, T. S., Chen, A. Z., Bovonratwet, P., Shen, C. L., & Su, E. P. (2020). COVID-19–Related Internet Search Patterns Among People in the United States: Exploratory Analysis. Journal of Medical Internet Research, 22(11), e22407.

Simon, T., Goldberg, A., & Adini, B. (2015). Socializing in emergencies—A review of the use of social media in emergency situations. International Journal of Information Management, 35(5), 609-619.

Singh, L., Bansal, S., Bode, L., Budak, C., Chi, G., Kawintiranon, K., Paddena, C., Vanarsdalla, R., Vraga, E. & Wang, Y. (2020). A first look at COVID-19 information and misinformation sharing on Twitter. ArXiv. arXiv:2003.13907 [April 26, 2021]

Singh, P., Cumberland, W. G., Ugarte, D., Bruckner, T. A., & Young, S. D. (2020). Association between generalized anxiety disorder scores and online activity among US adults during the COVID-19 pandemic: Cross-sectional analysis. Journal of Medical Internet Research, 22(9), e21490.

Small, H. (2016). Referencing as cooperation or competition. In: Sugimoto, C. (ed.) Theories of Informetrics and Scholarly Communication. Berlin/Boston: De Gruyter Saur, 49-70.

Song, S., Yao, X., & Wen, N. (2021). What motivates Chinese consumers to avoid information about the COVID-19 pandemic? The perspective of the stimulus-organism-response model. Information Processing & Management, 58(1), 102407.

Soroya, S. H., Farooq, A., Mahmood, K., Isoaho, J., & Zara, S. (2021). From information seeking to information avoidance: Understanding the health information behavior during a global health crisis. Information Processing & Management, 58(2), 102440.

Spink, A. (2010). Information behavior: An evolutionary instinct. Berlin-Heidelberg: Springer-Verlag.

Spink, A., Cole, C. (2004). A human information behavior approach to a philosophy of information”. Library Trends, 52(3), 617-628.

Spink, A., Cole, C. (2006). Human information behavior: Integrating diverse approaches and information use. Journal of the American Society for information Science and Technology, 57(1), 25-35.

Stutzman, F. D. (2011). Networked information behavior in life transition. Doctoral thesis, University of North Carolina at Chapel Hill, https://doi.org/10.17615/8k71-yd11 [April 26, 2021]

Swoboda, C. M., Walker, D. M., & Huerta, T. (2019). Odds of Meeting Cancer Prevention Behavior Recommendations by Health Information Seeking Behavior: a Cross-Sectional HINTS Analysis. Journal of Cancer Education, 36:56–64.

Tandoc Jr, E. C., & Lee, J. C. B. (2020). When viruses and misinformation spread: How young Singaporeans navigated uncertainty in the early stages of the COVID-19 outbreak. New Media & Society, October 2020, 10.1177/1461444820968212

Tang, L., & Zou, W. (2021). Health Information Consumption under COVID-19 Lockdown: An Interview Study of Residents of Hubei Province, China. Health Communication, 36(1), 74-80, 10.1080/10410236.2020.1847447

Tang, Z., Miller, A. S., Zhou, Z., & Warkentin, M. (2021). Does government social media promote users' information security behavior towards COVID-19 scams? Cultivation effects and protective motivations. Government Information Quarterly, 38(2), 101572.

Tangcharoensathien, V., Calleja, N., Nguyen, T., Purnat, T., D’Agostino, M., Garcia-Saiso, S., ... & Briand, S. (2020). Framework for managing the COVID-19 infodemic: methods and results of an online, crowdsourced WHO technical consultation. Journal of Medical Internet Research, 22(6), e19659.

Theis, S., Schäfer, K., Schäfer, D., Jochems, N., Nitsch, V., & Mertens, A. (2021). The Relationship Between Individual Coping and the Need to Have and Seek Health Information Among Older Adults: Exploratory Mixed Methods Study. JMIR human factors, 8(1), e15858.

Thelwall, M., & Thelwall, S. (2020). Covid-19 tweeting in English: Gender differences. ArXiv, arXiv:2003.11090 [April 26, 2021]

Upadhyay, S., Lord, J., & Gakh, M. (2019). Health-Information Seeking and Intention to Quit Smoking: Do Health Beliefs Have a Mediating Role? Tobacco use insights, January, 10.1177/1179173X19871310

Utunen, H., Ndiaye, N., Piroux, C., George, R., Attias, M., & Gamhewage, G. (2020). Global reach of an online COVID-19 course in multiple languages on OpenWHO in the first quarter of 2020: analysis of platform use data. Journal of Medical Internet Research, 22(4), e19076.

Victoria, V. (2020). How fake news spreads online? International Journal of Media and Information Literacy, 5(2), 217-226.

Wang, K. Y. C. (2020). Information Behavior of Parents during COVID-19 in Relation to Their Young School-age Children’s Education. The Serials Librarian, 79(1-2), 62-77.

Wigfall, L. T., y D. B. Friedman (2016). “Cancer information seeking and cancer-related health outcomes: A scoping review of the health information National Trends Survey literature”. Journal of Health Communication, 21(9), 989-1.005.

Wikipedia contributors. (2021, April 24). Adaptation. In Wikipedia, The Free Encyclopedia. Retrieved 17:48, April 24, 2021, from https://en.wikipedia.org/w/index.php?title=Adaptation&oldid=1019612241

Williamson, K. (1998). Discovered by chance: The role of incidental information acquisition in an ecological model of information use. Library & information science research, 20(1), 23-40.

Williamson, K. (2005). “Ecological Theory of Human Information Bahavior”. In: Fisher, K. E., Erdelez, S., & McKechnie, L. E. Theories of information behavior. Information Today, Inc., 128-132.

Wolf, C. T., Veinot, T. C. (2015). Struggling for space and finding my place: An interactionist perspective on everyday use of biomedical information”. Journal of the Association for Information Science and Technology, 66(2), 282-296.

Wong, F. H. C., Liu, T., Leung, D. K. Y., Zhang, A. Y., Au, W. S. H., Kwok, W. W., ... & Lum, T. Y. S. (2021). Consuming Information Related to COVID-19 on Social Media Among Older Adults and Its Association With Anxiety, Social Trust in Information, and COVID-Safe Behaviors: Cross-sectional Telephone Survey. Journal of Medical Internet Research, 23(2), e26570.

Xie, B., He, D., Mercer, T., Wang, Y., Wu, D., Fleischmann, K. R., ... & Lee, M. K. (2020). Global health crises are also information crises: A call to action. Journal of the Association for Information Science and Technology, 71(12), 1419-1423.

Xu, H., Gan, Y., Zheng, D., Wu, B., Zhu, X., Xu, C., Liu, C., Tao, Z., Hu, Y., Chen, M., Li, M., Lu, Z., & Chen, J. (2020). Relationship Between COVID-19 Infection and Risk Perception, Knowledge, Attitude, and Four Nonpharmaceutical Interventions During the Late Period of the COVID-19 Epidemic in China: Online Cross-Sectional Survey of 8158 Adults. Journal of Medical Internet Research, 22(11), e21372.

You, M., & Lee, M. (2021). Effects of COVID-19 Emergency Alert Text Messages on Practicing Preventive Behaviors: Cross-sectional Web-Based Survey in South Korea. Journal of Medical Internet Research, 23(2), e24165.

Zhao, X., Fan, J., Basnyat, I., & Hu, B. (2020). Online Health Information Seeking Using “# COVID-19 Patient Seeking Help” on Weibo in Wuhan, China: Descriptive Study. Journal of Medical Internet Research, 22(10), e22910.

Zhao, Y., Xu, S., Wang, L., Huang, Y., Xu, Y., Xu, Y., ... & Wu, Q. (2020). Concerns About Information Regarding COVID-19 on the Internet: Cross-Sectional Study. Journal of Medical Internet Research, 22(11), e20487.


Downloads

Downloads per month over past year

Actions (login required)

View Item View Item
Contact us
Send email Sponsors
Sponsor: AIMS Sponsor: D&P Sponsor: UniNa CAB Get connected
Facebook Facebook Twitter Twitter Linkedin LinkedIn RSS RSS