Assessing the relationships between information seeking, motives of using social media and information sharing on haze and air pollution among IIUM students
List of Authors
  • Faiswal Kasirye , Hassan Radwan Jamal

Keyword
  • agenda setting theory, haze and air pollution, information seeking, information sharing, motives

Abstract
  • Haze and air pollution have become a major problem among the Association of Southeast Asian Nations (ASEAN) countries. Haze occurs almost every year, mainly due to activities done by farmers and factories within this region. Little research has been conducted to find out how this issue is addressed by institutions of higher learning such as the International Islamic University of Malaysia (IIUM), especially by linking information seeking and information sharing using social platforms. Therefore, this study was set out to examine the information seeking and information sharing on haze and air pollution among IIUM students. Specifically, this study aimed to determine the relationship between information seeking, information sharing, and the motives for using social media among IIUM students during the occurrence of haze and air pollution. The study utilized the agenda setting theory to explain the relationship between the variables. A total of 389 respondents participated in the study. Based on the quantitative research design and the survey method with questionnaire as a data collection tool, the study found that students normally look for information on haze and air pollution from the Internet. Findings also revealed the existence of a strong significant relationship between all the variables in the study. The results translate that the more the respondents desire to seek information on haze and air pollution, the more they will want to share it on social media platforms. Overall, the agenda setting theory is supported in this study.

Reference
  • 1. Aisha, T. S., Wok, S., Manaf, A. M. A., & Ismail, R. (2015). Exploring the use of social media during the 2014 flood in Malaysia. Procedia-Social and Behavioral Sciences, 211, 931-937.

    2. Allen, C. (2004). Tracing the evolution of social software. Life with alacrity, 10, 2004, Retrieved from http://www.lifewithalacrity.com/2004/10/tracing_the_evo.html

    3. Allen, D. K. (2011). Information behaviour and decision making in time constrained practice: A dual processing perspective. Journal of the American Society for Information Science and Technology, 62(11), 2165-2181.

    4. Asuni, B. J., Farris, J., & Nwankpa, A. (2011). Tracking social media: The social media tracking center and the 2011 Nigerian elections. The Shehu Musa Yar’adua Foundation.

    5. Bastide, S., Moatti, J. P., & Fagnani, F. (1989). Risk perception and social acceptability of technologies: The French case. Risk Analysis, 9(2), 215-223. DOI: 10.1111/j.1539-6924.1989.tb01242.x

    6. Boyd, D., & Ellison, N. (2007). Social network sites: Definition, history, and scholarship. Journal of Computer-Mediated Communication, 13(1), 210-235.

    7. Choi, J. H.-j. (2006). Living in Cyworld: Contextualizing cy-ties in South Korea. In A. Bruns and J. Jacobs, (Eds.), Use of blogs (Digital formation), (pp. 173-186). New York, NY: Peter Lang.

    8. Edelman, R. (2018). 2018 Edelman trust barometer. Global report.

    9. Ellison, N., Steinfield, C., & Lampe, C. (2007). The benefits of Facebook "Friends:" Social capital and college students' use of online social network sites. Journal of Computer-Mediated Communication, 12(4), 1-26.

    10. Fleischer, N. L., Merialdi, M., van Donkelaar, A., Vadillo-Ortega, F., Martin, R. V., Betran, A. P., & Marie S. O´ Neill. (2018). Outdoor air pollution, preterm birth, and low birth weight: Analysis of the world health organization global survey on maternal and perinatal health. Environmental Health Perspectives, 122(4), 425-430.

    11. Govani, T., & Pashley, H. (2005). Student awareness of the privacy implications when using Facebook. Unpublished paper presented at the “Privacy poster fair” at the Carnegie Mellon university school of library and information science, 9, 1-17.

    12. Gross, R., & Acquisti, A. (2005, November). Information revelation and privacy in online social networks. In Proceedings of the 2005 ACM workshop on Privacy in the electronic society(pp.71-80).Retrievedfrom: https://dl.acm.org/doi/pdf/10.1145/1102199.1102214

    13. Hippner, H., & Wilde, T. (2005). Social software. Wirts Chafts Informatics, 6, 441- 444.

    14. Holme, P., Edling, C. R., & Liljeros, F. (2004). Structure and time evolution of an internet dating community. Social Networks, 26(2), pp. 155-174.

    15. Ikoja-Odongo, R., & Mostert, J. (2006). Information seeking behaviour: A conceptual framework. South African Journal of Libraries and Information Science, 72(3), 145-158.

    16. Julien, H. (1996). A content analysis of the recent needs and uses literature. Library and information Science Research, 18, 53-65.

    17. Krikelas, J. (1983). Information-seeking behavior: Patterns and concepts. Drexel Library Quarterly, 19(2), 5-20.

    18. Lampe, C., Ellison, N., & Steinfield, C. (2007). A familiar face(book): Profile elements as signals in an online social network, SIGCHI Conference on Human Factors in Computing Systems, ACM Press, 435-444.

    19. Lewis, S., Pea, R., & Rosen, J. (2010). Beyond participation to co-creation of meaning: Mobile social media in generative learning communities. Social Science Information, 49(3), 351-369.

    20. Lippmann, W. (1922). Public opinion. Transaction publishers, 49(3), 379-392.

    21. McCombs, M. E., & Shaw, D. L. (1972). The agenda-setting function of mass media. Public Opinion quarterly, 36, 176-187.

    22. Matsaganis, M. D., & Payne, J. G. (2005). Agenda Setting in a culture of fear the lasting effects of September 11 on American politics and journalism. American Behavioural Scientist, 49(3), 379-392.

    23. Mergel, I. (2010): Government 2.0 Revisited: Social Media Strategies in the Public Sector in PA Times. American Society for Public Administration, 33(3), 7 & 10.

    24. McQuail, D. (1987). Mass communication theory: An introduction. 2nd Ed. London: Sage Publishers.

    25. Mostert, B.J., & Ocholla, D. (2005). Information needs and information seeking behaviour of parliamentarians in South Africa. South African Journal of libraries and Information Science, 71(2), 136-150.

    26. Mungiu-Pippidi, A. (2009). The learning curve revisited: Building the rule of law in east central Europe. In 5th ECPR General Conference, Potsdam, (pp. 10-12).

    27. Norris, P. (1996). Does television erode social capital? A reply to Putnam. Ps-political Science & Politics, 29(3), 474-480.

    28. Ogula, J. (2005). The research management challenge. 2nd edition. New York: Macmillan.

    29. Pang, N. (2014, September). Crisis-based information seeking: Monitoring versus blunting in the information seeking behaviour on working students during the Southeast Asian haze crisis. In Proceedings of ISIC 2014: The information behaviour conference, 2-5 September (pp. 19-43).

    30. Pingitore, G., Li, S., Gigliotti, A., & Eckert, M. (2012, March). The validity of social media data within the wireless industry. In Proceedings from the 2012 CASRO Online Research Conference, Las Vegas, NV (pp. 1-2).

    31. Powell, J. J., Campbell, E., Johnson, C. D., & Siriwardena, A. K. (1999). Survey of antibiotic prophylaxis in acute pancreatitis in the UK and Ireland. British Journal of Surgery, 86(3), 320-322.

    32. Qu, Y., Huang, C., Zhang, P., & Zhang, J. (2011, March). Harnessing social media in response to major disasters. In CSCW 2011 Workshop: Designing Social and CollaborativeSystemsforChina.Retrievedfrom: http://www.cs.cmu.edu/~yangwan1/cscw2011/papers/CSCW2011-workshop-DSCSC.pdf

    33. Ridings, C. M., & Gefen, D. (2004). Virtual community attraction: Why people hang out online. Journal of Computer-mediated communication, 10(1), JCMC10110.

    34. Rioax (2005). Information sharing. In New directions in human information behavior (pp. 113-134). Dordrecht: Springer.

    35. Saunders, M., Lewis, P., & Thornhill, A. (2007). Research methods for business. (pp. 124-126). London: Pitman.

    36. Savolainen, R. (1993). The sense making theory: Reviewing the interests of a user-centered approach to information seeking and use. Information Processing Management, 29, 13-28.

    37. Schaefer, C. (2008). Motivations and usage patterns on social network sites. Galway, Ireland: ECIS.

    38. Shah, D. V., McLeod, J. M., &Yoon, S. H. (2001). Communication, context and community: An exploration of print, broadcast, and Internet influences. Communication Research, 28(4), 464-506.

    39. Starbird, K., & Palen, L. (2012, February). (How) will the revolution be retweeted? Information diffusion and the 2011 Egyptian uprising. In Proceedings of the ACM 2012 conference on computer supported cooperative work (pp. 7-16).

    40. Talja, S., & Hansen, P. (2006). Information sharing. In New directions in human information behaviour (pp. 113-134). Dordrecht: Springer.

    41. Urista, M. A., Dong, Q., & Day, K. D. (2011). Explaining why young adults use Myspace and Facebook through uses and gratification theory. Human Communication, 12(2), 215-229.

    42. Vakkari, P. (1997). Information Seeking in context it challenging Metatneerv. Journal of Information Science, 15(3), 187-201.

    43. Waldron, V. R., & Dervin, B. (1988). Sensemaking as a framework for knowledge acquisition. In L. C. Smith (Ed.), Artificial intelligence, expert systems and other applications: American society for information science mid-winter Meeting (p. 9). Ann Arbor, Michigan: Greenwood Press.

    44. Wang, Z., Xia, C., Li, X., & Perc, M. (2018). Doubly effects of information sharing on interdependent network reciprocity. New Journal of Physics, 20(7), 075005.

    45. Weiler, A. (2005). Information-seeking behavior in generation Y students: Motivation, critical thinking, and learning theory. The Journal of academic Librarianship, 31(1), 46-53.

    46. Wellman, B., & Gulia, M. (1999). Net surfers don’t ride alone. In B. Wellman (Ed.), Networks in the global village (pp. 72-86). Westview: Boulder Co.

    47. Wilkinson, D., & Thelwall, M. (2012). Trending Twitter topics in English: An international comparison. Journal of the American Society for Information Science and Technology, 63(8), 1631-1646.

    48. Wilson, T. D. (1997). Information behaviour: An interdisciplinary perspective. Information Processing and Management, 33, 551- 572.

    49. Wu, X., & Li, X. (2017). Effects of mass media exposure and social network site involvement on risk perception of and precautionary behavior toward the haze issue in China. International. Journal of Communication, 11, 23-43.

    50. Yang, T. M., & Maxwell, T. A. (2011). Information-sharing in public organizations: A literature review of interpersonal, intra-organizational and inter-organizational success factors. Government Information Quarterly, 28(2), 164-175.

    51. Zhang, P., & Xiong, Z. (2017). Information sharing in a closed-loop supply chain with asymmetric demand forecasts. Mathematical Problems in Engineering, 2017.