The acquisition of health and science information in the 21^st century

References

• Ackerman, M. S. 1998. Augmenting organizational memory: A field study of Answer Garden. ACM Transactions on Information Systems 16 (3):203–24. doi: 10.1145/290159.290160.
   Web of Science ®Google Scholar
• Ackerman, M. S., and D. W. McDonald. 1996. Answer Garden 2: Merging organizational memory with collaborative help. In CSCW ‘96: Proceedings of the 1996 ACM Conference on Computer Supported Cooperative Work, 97–105. New York: ACM.
   Google Scholar
• Ajzen, I. 1988. Attitudes, personality, and behavior. Milton Keynes, UK: Open University Press.
   Google Scholar
• Ajzen, I., and M. Fishbein. 1980. Understanding attitudes and predicting behavior. Englewood Cliffs, NJ: Prentice-Hall.
   Google Scholar
• Almond, G. A. 1950. The American people and foreign policy. New York: Harcourt Brace.
   Google Scholar
• Anderson, R. C. 1984. Some reflections on the acquisition of knowledge. Educational Researcher 13 (9):5–10. doi: 10.3102/0013189X013009005.
   Google Scholar
• Belkin, N. J. 1980. Anomalous state of knowledge as basis for information retrieval. Canadian Journal of Information and Library Science 5:133–43.
   Web of Science ®Google Scholar
• Berger, P. L., and T. Luckmann. 1966. The social construction of reality. New York: Doubleday.
   Google Scholar
• Bucchi, M. 2008. Of deficits, deviations and dialogues: Theories of public communication of science. In Handbook of public communication of science and technology, ed. M. Bucchi and B. Trench, 57–76. London: Routledge.
   Google Scholar
• Case, D. O. 2007. Information behavior. Annual Review of Information Science and Technology 40 (1):293–328. doi: 10.1002/aris.1440400114.
   Google Scholar
• Case, D. O., J. E. Andrews, J. D. Johnson, and S. L. Allard. 2005. Avoiding versus seeking: The relationship of information seeking to avoidance, blunting, coping, dissonance, and related concepts. Journal of the Medical Library Association 93 (3):353–62.
   PubMed Web of Science ®Google Scholar
• Case, D. O., and L. M. Given. 2016. Looking for information. A survey of research on information seeking, needs, and behavior. 4th ed. Bingley, UK: Emerald.
   Google Scholar
• Case, D. O., J. D. Johnson, J. E. Andrews, S. Allard, and K. M. Kelly. 2004. From two-step flow to the Internet: The changing array of sources of genetics information. Journal of the American Society for Information Science and Technology 55 (8):660–9. doi: 10.1002/asi.20000.
   Web of Science ®Google Scholar
• Castells, M. 1996. The information age: Economy, society and culture. Vol. I: The rise of the network society. Oxford, UK: Blackwell.
   Google Scholar
• Castells, M. 1997. The information age: Economy, society and culture. Vol. II: The power of identity. Oxford, UK: Blackwell.
   Google Scholar
• Castells, M. 1998. The information age: Economy, society and culture. Vol. III: End of millennium. Oxford, UK: Blackwell.
   Google Scholar
• Coleman, J. S. 1988. Social capital in the creation of human capital. American Journal of Sociology 94 (supplement):S95–S120. doi: 10.1086/228943.
   Web of Science ®Google Scholar
• Cummings, K. M., M. H. Becker, and M. C. Maile. 1980. Bringing the models together: An empirical approach to combining variables used to explain health actions. Journal of Behavioral Medicine 3 (2):123–45. doi: 10.1007/BF00844986.
   PubMedGoogle Scholar
• Dervin, B. 1989. Users as research inventions: How research categories perpetuate inequities. Journal of Communication 39 (3):216–32. doi: 10.1111/j.1460-2466.1989.tb01053.x.
   Web of Science ®Google Scholar
• Diamond, J. 1997. Guns, germs, and steel: A short history of everybody for the last 13,000 years. New York: Norton.
   Google Scholar
• Eagly, A. H., and S. Chaiken. 1993. The psychology of attitudes. San Diego, CA: Harcourt Brace.
   Google Scholar
• Edwards, G., III, R. Welch, and W. Mitchell. 1995. Explaining presidential approval: The significance of issue salience. American Journal of Political Science 39 (1):108–34.
   Web of Science ®Google Scholar
• Epstein, L., and J. A. Segal. 2000. Measuring issue salience. American Journal of Political Science 44 (1):66–83. doi: 10.2307/2669293.
   Web of Science ®Google Scholar
• Fishbein, M., and I. Ajzen. 1975. Belief, attitude, intention and behavior: An introduction to theory and research. Reading, MA: Addison-Wesley.
   Google Scholar
• Griffin, R. J., S. Dunwoody, and K. Neuwirth. 1999. Proposed model of the relationship of risk information seeking and processing to the development of preventive behaviors. Environmental Research 80 (2 Pt 2):S230–S45. doi: 10.1006/enrs.1998.3940.
   PubMed Web of Science ®Google Scholar
• Hayduk, L. A. 1987. Structural equation modeling with LISREL: Essential and advances. Baltimore, MD: The Johns Hopkins University Press.
   Google Scholar
• Johnson, J. D. 1997. Cancer-related information seeking. Cresskill, NJ: Hampton Press.
   Google Scholar
• Johnson, J. D. 2014. Health-related information seeking: Is it worth it? Information Processing and Management 50 (5):708–17.
   Web of Science ®Google Scholar
• Johnson, J. D., and D. O. Case. 2012. Health information seeking. New York: Peter Lang.
   Google Scholar
• Johnson, J. D., D. O. Case, J. E. Andrews, and S. Allard. 2005. Genomics-the perfect information-seeking research problem. Journal of Health Communication 10 (4):323–9. doi: 10.1080/10810730590950048.
   PubMed Web of Science ®Google Scholar
• Johnson, J. D., D. O. Case, J. Andrews, S. L. Allard, and N. E. Johnson. 2006. Fields and pathways: Contrasting or complementary views of information seeking. Information Processing & Management 42 (2):569–82. doi: 10.1016/j.ipm.2004.12.001.
   Web of Science ®Google Scholar
• Johnson, J. D., W. A. Donohue, C. K. Atkin, and S. Johnson. 1995. A comprehensive model of information seeking. Science Communication 16 (3):274–303. doi: 10.1177/1075547095016003003.
   Google Scholar
• Jöreskog, K., and D. Sörbom. 1993. LISREL 8 [computer program]. Chicago, IL: Scientific Software International.
   Google Scholar
• Katz, E., and P. F. Lazarsfeld. 1955. Personal influence. New York: Free Press.
   Google Scholar
• Livingstone, S., and E. Helsper. 2010. Balancing opportunities and risk in teenagers’ use of the Internet: The role of online skills and Internet self-efficacy. New Media & Society 12 (2):309–29. doi: 10.1177/1461444809342697.
   Web of Science ®Google Scholar
• Marchionini, G. 2006. Exploratory search: From finding to understanding. Communications of the ACM 49 (4):41–6. doi: 10.1145/1121949.1121979.
   Web of Science ®Google Scholar
• Marchionini, G. 2019. Search, sense making and learning: Closing gaps. Information and Learning Sciences 120 (1/2):74–86. doi: 10.1108/ILS-06-2018-0049.
   Web of Science ®Google Scholar
• Masuda, Y. 1981. The information society as post-industrial society. Washington, DC: World Future Society.
   Google Scholar
• McLuhan, M. 1964. Understanding media. The extensions of a man. New York: McGraw-Hill.
   Google Scholar
• Miller, J. D. 1983a. The American people and science policy: The role of public attitudes in the policy process. New York: Pergamon Press.
   Google Scholar
• Miller, J. D. 1983b. Scientific literacy: A conceptual and empirical review. Daedalus 112 (2):29–48.
   Web of Science ®Google Scholar
• Miller, J. D. 1987. Scientific literacy in the United States. In Communicating science to the public, ed. D. Evered and M. O’Connor, 14–9. London: Wiley.
   Google Scholar
• Miller, J. D. 1998. The measurement of civic scientific literacy. Public Understanding of Science 7 (3):203–23. doi: 10.1088/0963-6625/7/3/001.
   Web of Science ®Google Scholar
• Miller, J. D. 2004. Public understanding of, and attitudes toward scientific research: What we know and what we need to know. Public Understanding of Science 13 (3):273–94. doi: 10.1177/0963662504044908.
   Web of Science ®Google Scholar
• Miller, J. D. 2010a. Adult science learning in the Internet era. Curator: The Museum Journal 53 (2):191–208. doi: 10.1111/j.2151-6952.2010.00019.x.
   Google Scholar
• Miller, J. D. 2010b. The conceptualization and measurement of civic scientific literacy for the twenty-first century. In Science and the educated American: A core component of liberal education, ed. J. Meinwald and J. G. Hildebrand, 241–55. Cambridge, MA: American Academy of Arts and Sciences.
   Google Scholar
• Miller, J. D. 2010c. Civic scientific literacy: The role of the media in the electronic era. In Science and the media, ed. D. Kennedy and G. Overholser, 44–63. Cambridge, MA: American Academy of Arts and Sciences.
   Google Scholar
• Miller, J. D. 2014. La importancia de la alfabetización científica cívica en un mundo Just-in-Time. In Culturas científicas e innovadoras, ed. B. Laspra and E. Muñoz, 73–99. Buenos Aires: Eudeba.
   Google Scholar
• Miller, J. D., and R. F. Inglehart. 2012. American attitudes toward science and technology. In Leadership in science and technology: A reference handbook, ed. W. S. Bainbridge, Vol. 1, 298–306. New York: Sage.
   Google Scholar
• Miller, J. D., and L. G. Kimmel. 2001. Biomedical communication: Purposes, audiences, and strategies. New York: Academic Press.
   Google Scholar
• Miller, J. D., and G. L. Kreps. 2010. Biological literacy: A key to cancer prevention and control in the 21st century. In Building the evidence base in cancer communication, ed. L. Rutten, B. W. Hesse, R. P. Moser, and G. L. Kreps, 225–47. Cresskill, NJ: Hampton Press.
   Google Scholar
• Miller, J. D., and R. Pardo. 2000. Civic scientific literacy and attitude to science and technology: A comparative analysis of the European Union, the United States, Japan, and Canada. In Between understanding and trust: The public, science and technology, ed. M. Dierkes and C. von Grote, 54–88. New York: Routledge.
   Google Scholar
• Miller, J. D., R. Pardo, and F. Niwa. 1997. Public perceptions of science and technology: A comparative study of the European Union, the United States, Japan, and Canada. Madrid: BBV Foundation Press.
   Google Scholar
• Narayan, B., D. O. Case, and S. L. Edwards. 2011. The role of information avoidance in everyday-life information behaviors. Proceedings of the American Society for Information Science and Technology 48 (1):1–9. doi: 10.1002/meet.2011.14504801085.
   Google Scholar
• O’Reilly, T. 2009. What is the Web 2.0. Accessed December 13, 2020. https://www.oreilly.com/pub/a/web2/archive/what-is-web-20.html.
   Google Scholar
• Petty, R. E., and J. T. Cacioppo. 1986. Communication and persuasion: Central and peripheral routes to attitude change. New York: Springer.
   Google Scholar
• Pew Research Center. 2015. Public interest in science and health linked to gender, age and personality. Accessed December 13, 2020. https://www.pewresearch.org/science/2015/12/11/public-interest-in-science-and-health-linked-to-gender-age-and-personality/.
   Google Scholar
• Prabha, C., L. S. Connaway, L. Olszewski, and L. R. Jenkins. 2007. What is enough? Satisficing information needs. Journal of Documentation 63 (1):74–89. doi: 10.1108/00220410710723894.
   Web of Science ®Google Scholar
• Reagan, J. 1996. The “repertoire” of information sources. Journal of Broadcasting & Electronic Media 40 (1):112–21. doi: 10.1080/08838159609364336.
   Web of Science ®Google Scholar
• Robson, A., and L. Robinson. 2013. Building on models of information behavior: Linking information seeking and communication. Journal of Documentation 69 (2):169–93. doi: 10.1108/00220411311300039.
   Web of Science ®Google Scholar
• Salmon, C. T. (ed.). 1989. Information campaigns: Balancing social values and social change. Thousand Oaks, CA: Sage.
   Google Scholar
• Savolainen, R. 2015. Cognitive barriers to information seeking: A conceptual analysis. Journal of Information Science 41 (5):613–23. doi: 10.1177/0165551515587850.
   Web of Science ®Google Scholar
• Schank, R. C., and R. P. Abelson. 1977. Scripts, plans, goals, and understanding: An inquiry in human knowledge structures. Hillsdale, NJ: Lawrence Erlbaum.
   Google Scholar
• Shannon, C. E. 1948. A mathematical theory of communication. The Bell System Technical Journal 27 (3):379–423. doi: 10.1002/j.1538-7305.1948.tb01338.x.
   Web of Science ®Google Scholar
• Sternberg, R. J., and T. Ben-Zeev. 2001. Complex cognition: The psychology of human thought. New York: Oxford University Press.
   Google Scholar
• Stiglitz, J. 1985. Information and economic analysis: A perspective. The Economic Journal 95 (supplement):21–41. doi: 10.2307/2232867.
   Web of Science ®Google Scholar
• Sundin, O., J. Haider, C. Andersson, H. Carlsson, and S. Kjellberg. 2017. The search-ification of everyday life and mundane-ification of search. Journal of Documentation 73 (2):224–43. doi: 10.1108/JD-06-2016-0081.
   Web of Science ®Google Scholar
• Veinot, T. C. 2009. Interactive acquisition and sharing: Understanding the dynamics of HIV/AIDS information networks. Journal of the American Society for Information Science and Technology 60 (11):2313–32. doi: 10.1002/asi.21151.
   Web of Science ®Google Scholar
• Viswanath, K., E. Kahn, J. R. Finnegan, J. Hertog, and J. D. Potter. 1993. Motivation and the knowledge gap: Effects of a campaign to reduce diet-related cancer risk. Communication Research 20 (4):546–63. doi: 10.1177/009365093020004003.
   Web of Science ®Google Scholar
• Weaver, J. B., D. Mays, S. S. Weaver, G. L. Hopkins, D. Eroglu, and J. M. Bernhardt. 2010. Health information-seeking behaviors, health indicators, and health risks. American Journal of Public Health 100 (8):1520–5. doi: 10.2105/AJPH.2009.180521.
   PubMed Web of Science ®Google Scholar
• Wilson, T. D. 1997. Information behavior: An interdisciplinary perspective. Information Processing & Management 33 (4):551–72. doi: 10.1016/S0306-4573(97)00028-9.
   Web of Science ®Google Scholar
• Yows, S. R., C. T. Salmon, R. P. Hawkins, and R. R. Love. 1991. Motivational and structural factors in predicting different kinds of cancer knowledge. American Behavioral Scientist 34 (6):727–41. doi: 10.1177/0002764291034006009.
   Web of Science ®Google Scholar
• Zaller, J. 1992. The nature and origins of mass opinion. Cambridge, UK: Cambridge University Press.
   Google Scholar
• Zimowski, M. F., E. Muraki, R. Mislevy, and R. D. Bock. 2003. BILOG-MG: Multiple group IRT analysis and test maintenance for binary items [computer program + instruction manual]. 3rd ed. Lincolnwood, IL: Scientific Software International, Inc.
   Google Scholar