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New Media: A Double-Edged Sword in Support of Public Engagement with Science

  • Ayelet Baram-TsabariEmail author
  • Amit M. Schejter
Chapter
Part of the Computer-Supported Collaborative Learning Series book series (CULS, volume 17)

Abstract

Modern life requires individuals with little formal educational background in the sciences to daily make science and technology-based decisions, ranging from vaccinating one’s children and consuming genetically modified food to buying a house near a nuclear power plant. The main information source for many such decisions are contemporary media that have become the public’s primary reference concerning science and technology. Indeed, these media increasingly shape public engagement with science. This chapter addresses the role of new media in personal and civic decision-making. It argues that many of its characteristics – abundance of content, interactivity, mobility, and multimediality – act as a double-edged sword, providing enhanced affordance over traditional media, while rendering it more difficult for a non-expert audience to reach informed, science-related decisions. Higher and lower thinking skills are discussed as they pertain to the usage of new media while taking into account public deliberation and distributive justice concerns.

Keywords

New media Traditional media Public engagement with science Internet Search engines Science-based decisions Personal and civic decision-making Thinking skills Public deliberation Distributive justice 

Bibliography

  1. Anderson, L. W., Krathwohl, D. R., Airasian, P. W., Cruikshank, K. A., Mayer, R. E., Pintrich, P. R., et al. (2001). A taxonomy for learning, teaching, and assessing: A revision of Bloom’s taxonomy of educational objectives (abridged ed.). White Plains, NY: Longman.Google Scholar
  2. Bakshy, E., Messing, S., & Adamic, L. A. (2015). Exposure to ideologically diverse news and opinion on Facebook. Science, 348(6239), 1130–1132.CrossRefGoogle Scholar
  3. Berends, I. E., & Van Lieshout, E. C. (2009). The effect of illustrations in arithmetic problem-solving: Effects of increased cognitive load. Learning and Instruction, 19(4), 345–353.CrossRefGoogle Scholar
  4. Bloom, B. S., Engelhart, M. D., Furst, E. J., Hill, W. H., & Krathwohl, D. R. (1956). Taxonomy of educational objectives: The classification of educational goals (Vol. 1, 19th ed.). New York: David McKay.Google Scholar
  5. Bromme, R., & Goldman, S. R. (2014). The public’s bounded understanding of science. Educational Psychologist, 49(2), 59–69.CrossRefGoogle Scholar
  6. Brossard, D. (2013). New media landscapes and the science information consumer. Proceedings of the National Academy of Sciences, 110.(Supplement 3, 14096–14101.CrossRefGoogle Scholar
  7. Brossard, D., & Scheufele, D. A. (2013). Science, new media, and the public. Science, 339(6115), 40–41.CrossRefGoogle Scholar
  8. Campbell, F. A., Goldman, B. D., Boccia, M. L., & Skinner, M. (2004). The effect of format modifications and reading comprehension on recall of informed consent information by low-income parents: A comparison of print, video, and computer-based presentations. Patient Education and Counseling, 53(2), 205–216.CrossRefGoogle Scholar
  9. Churches, A. (2008). Bloom’s taxonomy blooms digitally. Tech & Learning, 1, 1–6.Google Scholar
  10. Cook, M. P. (2006). Visual representations in science education: The influence of prior knowledge and cognitive load theory on instructional design principles. Science Education, 90(6), 1073–1091.CrossRefGoogle Scholar
  11. Georgas, H. (2014). Google vs. the library (part II): Student search patterns and behaviors when using Google and a federated search tool. Portal: Libraries and the Academy, 14(4), 503–532.CrossRefGoogle Scholar
  12. Granka, L. A., Joachims, T., & Gay, G. (2004). Eye-tracking analysis of user behavior in WWW search. Paper presented at the Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval.Google Scholar
  13. Habermas, J. (1996). Between facts and norms: Contributions to a discourse theory of law and democracy (trans: Reg, W.). Cambridge, MA: MIT Press.Google Scholar
  14. Hannak, A., Sapiezynski, P., Molavi Kakhki, A., Krishnamurthy, B., Lazer, D., Mislove, A., & Wilson, C. (2013). Measuring personalization of web search. Paper presented at the Proceedings of the 22nd international conference on World Wide Web.Google Scholar
  15. Hodson, D. (2003). Time for action: Science education for an alternative future. International Journal of Science Education, 25(6), 645–670.CrossRefGoogle Scholar
  16. Israeli Ministry of Science. (2017). Public perceptions and attitudes in Israel: Science, technology and space. Tel Aviv: GeoCatography for the Israeli Ministry of Science, Technology and Space.Google Scholar
  17. Jansen, B. J., & Spink, A. (2006). How are we searching the World Wide Web? A comparison of nine search engine transaction logs. Information Processing & Management, 42(1), 248–263.CrossRefGoogle Scholar
  18. Jansen, B. J., Spink, A., & Saracevic, T. (2000). Real life, real users, and real needs: A study and analysis of user queries on the web. Information Processing & Management, 36(2), 207–227.CrossRefGoogle Scholar
  19. Kozma, R. (2003). The material features of multiple representations and their cognitive and social affordances for science understanding. Learning and Instruction, 13(2), 205–226.CrossRefGoogle Scholar
  20. Ladwig, P., Anderson, A. A., Brossard, D., Scheufele, D. A., & Shaw, B. (2010). Narrowing the nano discourse? Materials Today, 13(5), 52–54.CrossRefGoogle Scholar
  21. Laslo, E., Baram-Tsabari, A., & Lewenstein, B. V. (2011). A growth medium for the message: Online science journalism affordances for exploring public discourse of science and ethics. Journalism: Theory, Practice and Criticism, 12(7), 847–870.CrossRefGoogle Scholar
  22. Mayer, R. E. (1997). Multimedia learning: Are we asking the right questions? Educational Psychologist, 32(1), 1–19.CrossRefGoogle Scholar
  23. Mejlgaard, N., Bloch, C., Degn, L., Nielsen, M. W., & Ravn, T. (2012). Locating science in society across Europe: Clusters and consequences. Science and Public Policy, 39(6), 741–750.CrossRefGoogle Scholar
  24. Napoli, P. M., & Obar, J. A. (2014). The emerging mobile Internet underclass: A critique of mobile Internet access. The Information Society, 30(5), 323–334.CrossRefGoogle Scholar
  25. National Science Board. (2016). Science and engineering indicators.Google Scholar
  26. NetMarketShare. (2017). Desktop search engine market share. Retrieved July, 2017, from https://www.netmarketshare.com/search-engine-market-share.aspx?qprid=4&qpcustomd=0
  27. Newhagen, J. E., & Rafaeli, S. (1996). Why communication researchers should study the Internet: A dialogue. Journal of Computer-Mediated Communication, 1(4), 0–0.CrossRefGoogle Scholar
  28. OECD. (2015). Draft science framework.Google Scholar
  29. Orr, D., & Baram-Tsabari, A. (2018). Science and politics in the polio vaccination debate on facebook: A mixed-methods approach to public engagement in a science-based dialogue. Journal of Microbiology and Biology Education, 19(1).  https://doi.org/10.1128/jmbe.v19i1.1500
  30. Orr, D., Baram-Tsabari, A., & Landsman, K. (2016). Social media as a platform for health-related public debates and discussions: The Polio vaccine on Facebook. Israel Journal of Health Policy Research, 5(1), 34.CrossRefGoogle Scholar
  31. Pan, B., Hembrooke, H., Joachims, T., Lorigo, L., Gay, G., & Granka, L. (2007). In google we trust: Users’ decisions on rank, position, and relevance. Journal of Computer-Mediated Communication, 12(3), 801–823.CrossRefGoogle Scholar
  32. Peters, H. P., Dunwoody, S., Allgaier, J., Lo, Y. Y., & Brossard, D. (2014). Public communication of science 2.0. EMBO reports, e201438979.Google Scholar
  33. Petersen, T. (2011). Lasswell’s problem and Hovland’s dilemma: Split-ballot experiments on the effects of potentially emotionalizing visual elements in media reports. International Journal of Public Opinion Research, 23, 251. edq051.CrossRefGoogle Scholar
  34. Pincus, H., Wojcieszak, M., & Boomgarden, H. (2017). Do multimedia matter? Cognitive and affective effects of embedded multimedia journalism. Journalism and Mass Communication Quarterly, 94(3), 747–771.Google Scholar
  35. Rakedzon, R., Segev, E., Chapnik, N., Yosef, R., & Baram-Tsabari, A. (2017). Automatic jargon identifier for scientists engaging with the public and science communication educators. PLoS One.Google Scholar
  36. Rawls, J. (1971). A theory of justice. Cambridge, MA: The Belknap Press of Harvard University.Google Scholar
  37. Rawls, J. (2001). In E. Kelly (Ed.), Justice as fairness: A restatement. Cambridge, MA: The Belknap Press of Harvard University.Google Scholar
  38. Resnick, L. B. (1987). Education and learning to think. Washington, DC: National Academy Press.Google Scholar
  39. Salathé, M., & Khandelwal, S. (2011). Assessing vaccination sentiments with online social media: Implications for infectious disease dynamics and control. PLoS Computational Biology, 7(10), e1002199.CrossRefGoogle Scholar
  40. Schejter, A. M., & Tirosh, N. (2016). Media policy and theories of justice. In A justice-based approach for new media policy : In the paths of righteousness (pp. 51–59). Cham, Switzerland: Palgrave Macmillan.CrossRefGoogle Scholar
  41. Schejter, A. M., & Yemini, M. (2007). Justice, and only justice, you shall pursue: Network neutrality, the first amendment and John Rawls’s theory of justice. Michigan Telecommunications and Technology Law Review, 14, 137.Google Scholar
  42. Schnotz, W., & Bannert, M. (2003). Construction and interference in learning from multiple representations. Learning and Instruction, 13(2), 141–156.CrossRefGoogle Scholar
  43. Segev, E. (2010). Google and the digital divide: The bias of online knowledge. Oxford, UK: Chandos PublishingGoogle Scholar
  44. Selin, C., Rawlings, K. C., de Ridder-Vignone, K., Sadowski, J., Altamirano Allende, C., Gano, G., et al. (2017). Experiments in engagement: Designing public engagement with science and technology for capacity building. Public Understanding of Science, 26(6), 634–649.CrossRefGoogle Scholar
  45. Sen, A. (1980). Equality of what? In S. M. McMurring (Ed.), Tanner lectures on human values (Vol. I, pp. 197–220). Cambridge, UK: Cambridge University Press.Google Scholar
  46. Sen, A. (1990). Justice: Means versus freedoms. Philosophy & Public Affairs, 19(2), 111–121.Google Scholar
  47. Sen, A. (2004). Elements of a theory of human rights. Philosophy & Public Affairs, 32(4), 315–356.CrossRefGoogle Scholar
  48. Sen, A. (2009). The idea of justice. Cambridge, MA: Harvard University Press.Google Scholar
  49. Snow, C. E., & Dibner, K. A. (2016). Science literacy: Concepts, contexts, and consequences. National Academies Press.Google Scholar
  50. Wikipedia. (2017). Languages used on the Internet. Retrieved June, 2017, from https://en.wikipedia.org/wiki/Languages_used_on_the_Internet
  51. Wilson, R., Payne, M., & Smith, E. (2003). Does discussion enhance rationality? A report from transportation planning practice. Journal of the American Planning Society, 69(4), 354–367.CrossRefGoogle Scholar

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Faculty of Education in Science and TechnologyTechnion – Israel Institute of TechnologyHaifaIsrael
  2. 2.Department of Communication Studies, Ben-Gurion University of the NegevBeer ShevaIsrael
  3. 3.Donald P. Bellisario College of CommunicationsThe Pennsylvania State UniversityPAUSA

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