I share, therefore I am: A U.S.-China comparison of college students' motivations to share information about climate change

Human Communication Research

Volumn 40, Issue 1, 2014, Pages 112-135

  Yang, Z Janet ^a   Kahlor, Lee Ann ^b   Griffin, Darrin J ^a  

^a UNIVERSITY AT BUFFALO   (United States)

^b UNIVERSITY OF TEXAS AT AUSTIN   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 84889599998     PISSN: 03603989     EISSN: 14682958     Source Type: Journal    
DOI: 10.1111/hcre.12018     Document Type: Article

References (80)

1. Akkirman, A. D., & Harris, D. L. (2005). Organizational communication satisfaction in the virtual workplace. Journal of Management Development, 24, 397-409. doi: 10.1108/02621710510598427.
2. Anderson, A. A., Delborne, J., & Kleinman, D. L. (2012). Information beyond the forum: Motivations, strategies, and impacts of citizen participants seeking information during a consensus conference. Public Understanding of Science. doi: 10.1177/0963662512447173, Advanced online publication.
3. Babrow, A. S. (2001). Uncertainty, value, communication, and problematic integration. Journal of Communication, 51, 553-573. doi: 10.1111/j.1460-2466.2001.tb02896.x.
4. Barnes, M., MacLean, J., & Cousens, L. (2010). Understanding the structure of community collaboration: The case of one Canadian health promotion network. Health Promotion International, 25, 238-247. doi: 10.1093/heapro/daq002.
5. Brashers, D. E. (2001). Communication and uncertainty management. Journal of Communication, 51, 477-497. doi: 10.1111/j.1460-2466.2001.tb02892.x.
6. Cheng, J. H. (2011). Inter-organizational relationships and information sharing in supply chains. International Journal of Information management, 31, 373-384. doi: 10.1016/j.ijinfomgt.2010.09.004.
7. Chou, W.-Y. S., Hunt, Y. M., Beckjord, E. B., Moser, R. P., & Hesse, B. W. (2009). Social media use in the United States: Implications for health communication. Journal of Medical Internet Research, 11(4), e48. doi: 196/jmir.1249.
8. Cohen, J., Cohen, P., West, S. G., & Aiken, L. S. (2003). Applied multiple regression/correlation analysis for the behavioral sciences (3rd ed.). Mahwah, NJ: Erlbaum.
9. Converse, P. (1964). The nature of belief systems in mass publics. In D. E. Apter (Ed.), Ideology and discontent (pp. 206-261). New York, NY: Free Press.
10. De Dreu, C. K. W., Nijstad, B. A., & Van Knippenberg, D. (2008). Motivated information processing in group judgment and decision making. Personality and Social Psychology Review, 12, 22-49. doi: 10.1177/1088868307304092.
11. Dewett, T., & Jones, G. R. (2001). The role of information technology in the organization: A review, model, and assessment. Journal of Management, 27, 313-346. doi: 10.1177/014920630102700306.
12. Eagly, A. H., & Chaiken, S. (1993). The psychology of attitudes. Belmont, CA: Wadsworth.
13. Eid, M., & Diener, E. (2001). Norms for experiencing emotions in different cultures: Inter- and intranational differences. Journal of Personality and Social Psychology, 81, 869-885. doi: 10.1037//0022-3514.81.5.869.
14. Fredrickson, B. L. (2001). The role of positive emotions in positive psychology: The broaden-and-build theory of positive emotions. American Psychologist, 56, 218-226. doi: 10.1098/rstb.2004.1512.
15. Fulk, J., Heino, R., Flanagin, A., Monge, P., & Bar, F. (2004). A test of the individual action model for organizational information commons. Organization Science, 15, 569-585. doi: 10.1287/orsc.1040.0081.
16. Greenley, J. R., & Schoenherr, R. A. (1981). Organization effects on client satisfaction with humaneness of service. Journal of Health and Social Behavior, 22, 2-18.
17. Griffin, R. J., Dunwoody, S., & Neuwirth, K. (1999). Proposed model of the relationship of risk information seeking and processing to the development of preventive behaviors. Environmental Research, 80(2), S230-S245. doi: 10.1006/enrs.1998.3940.
18. Griffin, R. J., Yang, Z. J., ter Huurne, E., Boerner, F., Ortiz, S., & Dunwoody, S. (2008). After the flood: Anger, attribution, and the seeking of information. Science Communication, 29, 285-315. doi: 10.1177/1075547007312309.
19. Hart, P. S., & Nisbet, E. C. (2012). Boomerang effects in science communication: How motivated reasoning and identity cues amplify opinion polarization about climate mitigation policies. Communication Research, 39, 701-723. doi: 10.1177/0093650211416646.
20. Harvey, M., Griffith, D., & Novicevic, M. (2000). Development of "timescapes" to effectively manage global interorganizational relational communications. European Management Journal, 18, 646-662. doi: 10.1016/S0263-2373(00)00056-6.
21. Hayes, A. F., & Matthes, J. (2009). Computational procedures for probing interactions in OLS and logistic regression: SPSS and SAS implementations. Behavior Research Methods, 41, 924-936.
22. He, W., & Wei, K. (2009). What drives continued knowledge sharing? An investigation of knowledge-contribution and -seeking beliefs. Decision Support Systems, 46, 826-838. doi: 10.1016/j.dss.2008.11.007.
23. Henningsen, D. D., & Henningsen, M. L. M. (2004). The effect of individual difference variables on information sharing in decision-making groups. Human Communication Research, 30, 540-555. doi: 10.1093/hcr/30.4.540.
24. Himelboim, I., Lariscy, R. W., Tinkham, S. F., & Sweetser, K. D. (2012). Social media and online political communication: The role of interpersonal informational trust and openness. Journal of Broadcasting & Electronic Media, 56, 92-115. doi: 10.1080/08838151.2011.648682.
25. Hirschman, E. C., & Wallendorf, M. (1982). Motives underlying marketing information acquisition and knowledge transfer. Journal of Advertising, 11(3), 25-31.
26. Hovick, S. R., Freimuth, V. S., Johnson-Turbes, A., & Chervin, D. D. (2011). Multiple health risk perception and information processing among African Americans and Whites living in poverty. Risk Analysis, 31, 1789-1799. doi: 10.1111/j.1539-6924.2011.01621.x.
27. Huang, C. M., Chan, E., & Hyder, A. A. (2010). Web 2.0 and Internet social networking: A new tool for disaster management? Lessons from Taiwan. BMC Medical Informatics and Decision Making, 10, 57. doi: 10.1186/1472-6947-10-57.
28. Johnson-Laird, P. N., & Oatley, K. (1992). Basic emotions, rationality, and folk theory. Cognition & Emotion, 6, 201-223. doi: 10.1080/02699939208411069.
29. Kahlor, L. (2007). An augmented risk information seeking model: The case of global warming. Media Psychology, 10, 414-435. doi: 10.1080/15213260701532971.
30. Kahlor, L., & Rosenthal, S. (2009). If we seek, do we learn? Predicting knowledge of global warming. Science Communication, 30, 380-414. doi: 10.1177/1075547008328798.
31. Kahlor, L., Dunwoody, S., Griffin, R. J., Neuwirth, K., & Giese, J. (2003). Studying heuristic-systematic processing of risk communication. Risk Analysis, 23, 355-368. doi: 10.1111/1539-6924.00314.
32. Krosnick, J. A. (1990). Government policy and citizen passion: A study of issue publics in contemporary America. Political Behavior, 12, 59-92. doi: 10.1007/BF00992332.
33. Lazarus, R. S. (1991). Emotion and adaptation. New York, NY: Oxford University Press.
34. Leiserowitz, A. (2006). Climate change risk perception and policy preferences: The role of affect, imagery, and values. Climatic Change, 77, 45-72. doi: 10.1007/s10584-006-9059-9.
35. Lerner, J. S., & Keltner, D. (2000). Beyond valence: Toward a model of emotion-specific influences on judgement and choice. Cognition & Emotion, 14, 473-493.
36. Lin, B. W., & Chen, C. J. (2006). Fostering product innovation in industry networks: The mediating role of knowledge integration. International Journal of Human Resource Management, 17, 155-173. doi: 10.1080/09585190500367472.
37. Lopes, A. D., & Freire, I. M. (2012). Participatory budgeting: An approach from an information science perspective. Transinformacao, 24(1), 19-25.
38. Luminet, O., Bouts, P., Delie, F., Manstead, A. R., & Rimé, B. (2000). Social sharing of emotion following exposure to a negatively valenced situation. Cognition & Emotion, 14, 661-688. doi: 10.1080/02699930050117666.
39. Mann, J. (2007). The China fantasy: How our leaders explain away Chinese repression. New York, NY: Penguin Group.
40. Martin, J. (2007). The meaning of the 21st century. New York, NY: Riverhead Penguin.
41. McComas, K., & Shanahan, J. (1999). Telling stories about global climate change - Measuring the impact of narratives on issue cycles. Communication Research, 26, 30-57. doi: 10.1177/009365099026001003.
42. Mesmer-Magnus, J. R., & DeChurch, L. A. (2009). Information sharing and team performance: A meta-analysis. Journal of Applied Psychology, 94, 535-546. doi: 10.1037/a0013773.
43. Metzgar, E., & Maruggi, A. (2009). Social media and the 2008 U.S. presidential election. Journal of New Communications Research, 4, 141-165.
44. Meyer, C. A. (1997). The political economy of NGOs and information sharing. World Development, 25, 1127-1140. doi: 10.1016/S0305-750X(97)00013-2.
45. Miller, A. H., Gurin, P., Gurin, G., & Malanchuk, O. (1981). Group consciousness and political participation. American Journal of Political Science, 25, 494-511.
46. Mou, Y., Atkin, D., & Fu, H. (2011). Predicting political discussion in a censored virtual environment. Political Communication, 28, 341-356. doi: 10.1080/10584609.2011.572466.
47. Myers, T. A. (2011). Goodbye, listwise deletion: Presenting hot deck imputation as an easy and effective tool for handling missing data. Communication Methods and Measures, 5, 297-310. doi: 10.1080/19312458.2011.624490.
48. National Science Board (NSB). (2012). Science and Engineering Indicators 2012. NSB 08-01; NSB 10-01A. Arlington, VA: National Science Foundation.
49. Noelle-Neumann, E. (1974). The spiral of silence: A theory of public opinion. Journal of Communication, 24, 43-51. doi: 10.1111/j.1460-2466.1974.tb00367.x.
50. Norton, T., Sias, P., & Brown, S. (2011). Experiencing and managing uncertainty about climate change. Journal of Applied Communication Research, 39, 290-309. doi: 10.1080/00909882.2011.585397.
51. Pew Center for Climate and Energy Solutions. (2011). Climate change 101: International action.
52. Pew Internet & American Life Project. (2011). Twitter and social networking in the 2010 midterm elections, January 27, 2011. Retrieved November 10, 2012, from http://pewinternet.org/Reports/2011/Politics-and-social-media.aspx.
53. Prekop, P. (2002). A qualitative study of collaborative information seeking. Journal of Documentation, 58, 533-547. doi: 10.1108/00220410210441000.
54. Randall, K. R., Resick, C. J., & DeChurch, L. A. (2011). Building team adaptive capacity: The roles of sensegiving and team composition. Journal of Applied Psychology, 96, 525-540. doi: 10.1037/a0022622.
55. Reddy, M. C., & Jansen, B. J. (2008). A model for understanding collaborative information behavior in context: A study of two health care teams. Information Processing and Management, 44, 256-273. doi: 10.1016/j.ipm.2006.12.010.
56. Rimal, R. N., & Real, K. (2003). Understanding the influence of perceived norms on behaviors. Communication Theory, 13, 184-203. doi: 10.1111/j.1468-2885.2003.tb00288.x.
57. Roberts, J., Hann, I. H., & Slaughter, S. (2006). Understanding the motivations, participation, and performance of open-source software developers: A longitudinal study of the apache projects. Management Science, 52, 984-999. doi: 10.1287/mnsc.1060.0554.
58. Ruget, V. (2006). The renewal of civic education in France and in America: Comparative perspectives. The Social Science Journal, 43, 19-34. doi: 10.1080/10584609.2011.572466.
59. Sanders, N. R. (2007). An empirical study of the impact of e-business technologies on organizational collaboration and performance. Journal of Operations Management, 25, 1332-1347. doi: 10.1016/j.jom.2007.01.008.
60. Scherer, K. R., Schorr, A., & Jonstone, T. (2001). Appraisal processes in emotion. New York, NY: Oxford University Press.
61. Scholten, L., van Knippenberg, D., Nijstad, B. A., & De Dreu, C. K. W. (2007). Motivated information processing and group decision-making: Effects of process accountability on information processing and decision quality. Journal of Experimental Social Psychology, 43, 539-552. doi: 10.1016/j.jesp.2006.05.010.
62. Schwarz, N., & Bohner, G. (1996). Feelings and their motivational implications. In P. M. Gollwitzer & J. A. Bargh (Eds.), The psychology of action: Linking cognition and motivation to behavior (pp. 119-145). New York, NY: The Guilford Press.
63. Slovic, P. (1987). Perception of risk. Science, 236, 280-285. doi: 10.1126/science.3563507.
64. Slovic, P., Finucane, M. L., Peters, E., & MacGregor, D. G. (2004). Risk as analysis and risk as feelings: Some thoughts about affect, reason, risk, and rationality. Risk Analysis, 24, 311-322. doi: 10.1111/j.0272-4332.2004.00433.x.
65. Steinel, W., Utz, S., & Koning, L. (2010). The good, the bad and the ugly thing to do when sharing information: Revealing, concealing and lying depend on social motivation, distribution and importance of information. Organizational Behavior and Human Decision Processes, 113, 85-96. doi: 10.1016/j.obhdp.2010.07.001.
66. Sterman, J. D. (2008). Risk communication on climate: Mental models and mass balance. Science, 322, 532-533. doi: 10.1126/science.1162574.
67. Talja, S. (2002). Information sharing in academic communities: Types and levels of collaboration in information seeking and use. New Review of Information Behavior Research, 3, 143-159.
68. Taran, P. A. (2000). Human rights of migrants: Challenges of the new decade. International Migration, 38, 7-51.
69. Teigland, R., & Wasko, M. M. (2003). Integrating knowledge through information trading: Examining the relationship between boundary spanning communication and individual performance. Decision Sciences, 34, 261-286. doi: 10.1111/1540-5915.02341.
70. Tiedens, L. Z., & Linton, S. (2001). Judgment under emotional certainty and uncertainty: The effects of specific emotions on information processing. Journal of Personality and Social Psychology, 81, 973. doi: 10.1037//0022-3514.81.6.973.
71. Tyler, T. R., & Cook, F. L. (1984). The mass-media and judgments of risk: Distinguishing impact on personal and societal level judgments. Journal of Personality and Social Psychology, 47, 693-708.
72. United Nations. (2011). United Nations Statistics Division Series: Carbon dioxide emissions (CO2), thousand metric tons of CO2 (CDIAC).
73. 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), 2313-2332. doi: 10.1002/asi.21151.
74. Wiesenfeld, B. M., Raghuram, S., & Garud, R. (1998). Communication patterns as determinants of organizational identification in a virtual organization. Organization Science, 10, 777-790. doi: 10.1287/orsc.10.6.777.
75. Wilcox, C., & Gomez, L. (1990). Religion, group identification, and politics among American blacks. Sociological Analysis, 51, 271-285.
76. Wittenbaum, G. M., Hollingshead, A. B., & Botero, I. (2004). From cooperative to motivated information sharing in groups: Going beyond the hidden profile paradigm. Communication Monographs, 71, 286-310. doi: 10.1080/0363452042000299894.
77. Yang, Z. J., & Kahlor, L. (2013). What, me worry? The role of affect in information seeking and avoidance. Science Communication, 35, 189-212. doi: 10.1177/1075547012441873.
78. Yang, Z. J., McComas, K. A., Gay, G., Leonard, J. P., Dannenberg, A. J., & Dillon, H. (2010). Motivation for health information seeking and processing about clinical trial enrollment. Health Communication, 25, 423-436. doi: 10.1080/10410236.2010.483338.
79. Yuan, Y., Fulk, J., Shumate, M., Monge, P. R., Bryant, J. A., & Matsaganis, M. (2005). Individual participation in organizational information commons: The impact of team level social influence and technology-specific competence. Human Communication Research, 31, 212-240. doi: 10.1093/hcr/.31.2.212.
80. Zhao, X., Leiserowitz, A., Maibach, E.-W., & Roser-Renouf, C. (2011). Attention to science/environment news positively predicts and attention to political news negatively predicts global warming risk perceptions and policy support. Journal of Communication, 61, 713-731. doi: 10.1111/j.1460-2466.2011.01563.x.