Social Media Discourse and Genetically Modified Organisms
Keywords:
GMO, Twitter, sentiment, frequency, networkAbstract
The objective of this research was to analyze themes of the Genetically Modified Organism (GMO) debate to investigate if sentiment could be segregated by geography, and in the GMO debate contest, to recognize how individuals interact with each other to form online connections. In all datasets, sentiment surrounding GMOs was negative. Via Netlytic (a cloud-based social media and networks analyzer) Twitter data was collected in real time. Dataset collection periods ranged between 6 to twelve days in continuous segments from November 2013 to February 2014. During this period, significant anti-GMO interactions were formed within networks, reinforcing the importance of social media in issue analysis.
References
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Gruzd, A. and Staves., K. (Jan 4-7 2011). Trends in scholarly use of online social media*. Position Paper Presented at the Workshop on Changing Dynamics of Scientific Collaboration, the 44th Annual Hawaii International Conference on System Sciences (HICSS), Retrieved from: http://dalspace.library.dal.ca/handle/10222/14427 Access Date: January 22, 2014.
Gruzd,A., Wellman, B., and Takhteyev,Y. (2011b). Imagining twitter as an imagined community. American Behavioral Scientist, 2011 55(1294), 1. Retrieved from: http://abs.sagepub.com/content/55/10/1294.short Access Date January 30, 2014.
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Ignacio, E. (2012). Online methods and analyzing knowledge-production: A cautionary tale. Qualitative Inquiry, 18(3), 237-246. doi:10.1177/1077800411431558 Retrieved from: http://qix.sagepub.com/content/18/3/237.short Access Date: January 23, 2014.
Kaplan, A., & Haenlein, M. (2010). Users of the world, unite! The challenges and opportunities of social media. Business Horizons, 53(1), 59-68. Retrieved from: doi:http://dx.doi.org/10.1016/j.bushor.2009.09.003 Access Date: January 31, 2014.
Kennedy, H. (2012). Perspectives on sentiment analysis. Journal of Broadcasting & Electronic Media. 56 (4), p435-450. Retrieved from: http://www.tandfonline.com/doi/pdf/10.1080/08838151.2012.732141#.Ut-7ECNzbIU Access Date: January 23, 2014.
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Lomborg, S. (2012). Researching communicative practice: Web archiving in qualitative social media research. Journal of Technology in Human Services, 30(3), 219-231. doi:10.1080/15228835.2012.744719 Retrieved from: http://www.tandfonline.com/doi/full/10.1080/15228835.2012.744719 Access Date: February 20, 2014.
Masue, O., Swai, I., & Anasel, M. (2013). The qualitative-quantitative 'disparities' in social science research: What does qualitative comparative analysis (QCA) brings in to bridge the gap? Asian Social Science, 9(10), 211-221. doi:10.5539/ass.v9n10p211 Retrieved from: http://web.ebscohost.com.ezproxy.library.dal.ca/ehost/pdfviewer/pdfviewer?sid=df039a08-8755-4c9f-87bb-dc5fd03093b0%40sessionmgr115&vid=6&hid=128 Access Date: February 18, 2014.
Parker, C., Saundage, D., & Lee, C. Y. (2011). AIS-Association of Information Systems. Can qualitative content analysis be adapted for use by social informaticians to study social media discourse? A position paper. . ACIS 2011: Proceedings of the 22nd Australasian Conference on Information Systems: Identifying the Information Systems Discipline. pp. 1-7. Retrieved from: http://dro.deakin.edu.au/eserv/DU:30041098/parker-canqualitative-2011.pdf Access Date: February 20, 2014.
Stephan, H. (2012). Revisiting the transatlantic divergence over GMOs: Toward a cultural-political analysis. Global Environmental Politics, 12(4), 104-124. Retrieved from: http://ezproxy.library.dal.ca/login?url=http://search.ebscohost.com/login.aspx?direct=true&db=aph&AN=82512501&site=ehost-live Access Date: January 28, 2014.
Boyd, D. & Ellison, N. (2007). Social network sites: Definition, history, and scholarship. Journal of Computer-Mediated Communication. Retrieved from: http://onlinelibrary.wiley.com/doi/10.1111/j.1083-6101.2007.00393.x/full Access Date: January 11, 2014.
Buiatti, M., Christou,P., & Pastore, G. (2013). The application of GMOs in agriculture and in food production for a better nutrition: Two different scientific points of view Genes & Nutrition, 8(3), 225-270. Retrieved from: doi:http://link.springer.com/article/10.1007/s12263-012-0316-4# Access Date: January 29, 2014.
Daunert, S., Deo, S., Morin, X., & Roda, A. (2008). The genetically modified foods debate: Demystifying the controversy through analytical chemistry. Springer Science & Business Media B.V. doi:10.1007/s00216-008-2312-5 Retrieved from: http://web.ebscohost.com.ezproxy.library.dal.ca/ehost/pdfviewer/pdfviewer?sid=4d7273dc-b432-4194-9cb2-4e9427fbfb3e%40sessionmgr113&vid=13&hid=103 Access Date: January 10, 2014.
DiGrazia, J., McKelvey, K., Bollen, J., & Rojas, F. (2013). More tweets, more votes: Social media as a quantitative indicator of political behavior. Plos One, 8(11), 1-5. doi:10.1371/journal.pone.0079449 Retrieved from: http://www.plosone.org/article/info%3Adoi%2F10.1371%2Fjournal.pone.0079449#pone-0079449-g003 Access Date: January 18, 2014.
Dobbs, M. (2011). Excluding coexistence of GMOs? The impact of the EU commission's 2010 recommendation on coexistence. Review of European Community & International Environmental Law, 20(2), 180-193. doi:10.1111/j.1467-9388.2011.00721.x Retrieved from: http://web.ebscohost.com.ezproxy.library.dal.ca/ehost/pdfviewer/pdfviewer?sid=4d7273dc-b432-4194-9cb2-4e9427fbfb3e%40sessionmgr113&vid=11&hid=103 Access Date: January 20, 2014.
Fisher, T. (2009). ROI in social media: A look at the arguments. Journal Database Marketing Customer Strategy Management, 16(3), 189. Retrieved from: doi:http://dx.doi.org/10.1057/dbm.2009.16 Access Date: February 1, 2014.
Ghisleri, L., Anadón, A., Recuerda, M., Peralta, P., Botija, F., Cañellas, A., & Martínez-Larrañaga, M. (2009). Risk analysis and GM foods: Scientific risk assessment. European Food & Feed Law Review, 4(4), 235-250. Retrieved from http://ezproxy.library.dal.ca/login?url=http://search.ebscohost.com/login.aspx?direct=true&db=aph&AN=44505762&site=ehost-live Access Date: January 18, 2014.
Gruzd, A. (2009a). Automated discovery of social networks in online learning communities. Dissertation Paper,1-119. Retrieved from: http://anatoliygruzd.com/wp-content/uploads/gruzd_anatoliy.pdf Access Date: January 21, 2014.
Gruzd, A. (2009b). Studying collaborative learning using name networks. Journal of Education for Library & Information Science, 50(4), 237-347. Retrieved from http://ezproxy.library.dal.ca/login?url=http://search.ebscohost.com/login.aspx?direct=true&db=aph&AN=45649023&site=ehost-live Access Date: January 21, 2014.
ruzd, A. (2013). Emotions in the twitterverse and implications for user interface design . Transactions on Human-Computer Interaction, 5(1),42-50 Retrieved from: http://aisel.aisnet.org/cgi/viewcontent.cgi?article=1055&context=thci. Access Date: February 28, 2014.
Gruzd, A., Black, F., Thi Ngoc, Y., & Amos, K. (2012). Investigating biomedical research literature in the blogosphere: A case study of diabetes and glycated hemoglobin (HbA1c). Journal of the Medical Library Association, 100(1), 34-42. doi:10.3163/1536-5050.100.1.007 Retrieved from: http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3257491/ Access Date: January 22, 2014.
Gruzd, A., Doiron, S., & Mai, P. (2011a). Is happiness contagious online? A case of twitter and the 2010 winter Olympics. Paper presented at the System Sciences (HICSS), 2011 44th Hawaii International Conference on, 1-9. doi:10.1109/HICSS.2011.259 Retrieved from: http://ieeexplore.ieee.org/xpl/login.jsp?tp=&arnumber=5718715&url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Farnumber%3D5718715 Access Date January 30,2014.
Gruzd, A. & Haythornthwaite, C. (2013). Enabling community through social media. Journal of Medical Internet Research, 10(15), 248. doi:10.2196/jmir.2796 Retrieved from: http://www.jmir.org/2013/10/e248/ Access Date: February 28, 2014.
Gruzd, A. and Staves., K. (Jan 4-7 2011). Trends in scholarly use of online social media*. Position Paper Presented at the Workshop on Changing Dynamics of Scientific Collaboration, the 44th Annual Hawaii International Conference on System Sciences (HICSS), Retrieved from: http://dalspace.library.dal.ca/handle/10222/14427 Access Date: January 22, 2014.
Gruzd,A., Wellman, B., and Takhteyev,Y. (2011b). Imagining twitter as an imagined community. American Behavioral Scientist, 2011 55(1294), 1. Retrieved from: http://abs.sagepub.com/content/55/10/1294.short Access Date January 30, 2014.
Haythornthwaite, C. (2011). Words and learning networks. retrieved from: http://people.lis.illinois.edu/~jdiesner/calls/papers_all/WON_2012_Haythornthwaite_Learning_Networks.pdf. Access Date January 10, 2014.
Herrick, C. (2005). ‘Cultures of GM’: Discourses of risk and labelling of GMOs in the UK and EU. Area, 37(3), 286-294. Retrieved from: http://web.ebscohost.com.ezproxy.library.dal.ca/ehost/pdfviewer/pdfviewer?sid=4d7273dc-b432-4194-9cb2-4e9427fbfb3e%40sessionmgr113&vid=9&hid=103 Access Date: January 31, 2014.
Ignacio, E. (2012). Online methods and analyzing knowledge-production: A cautionary tale. Qualitative Inquiry, 18(3), 237-246. doi:10.1177/1077800411431558 Retrieved from: http://qix.sagepub.com/content/18/3/237.short Access Date: January 23, 2014.
Kaplan, A., & Haenlein, M. (2010). Users of the world, unite! The challenges and opportunities of social media. Business Horizons, 53(1), 59-68. Retrieved from: doi:http://dx.doi.org/10.1016/j.bushor.2009.09.003 Access Date: January 31, 2014.
Kennedy, H. (2012). Perspectives on sentiment analysis. Journal of Broadcasting & Electronic Media. 56 (4), p435-450. Retrieved from: http://www.tandfonline.com/doi/pdf/10.1080/08838151.2012.732141#.Ut-7ECNzbIU Access Date: January 23, 2014.
Kwak, H., Lee, C., Park, H., Moon, S. (2010). What is twitter, a social network or a news media? In Proceedings of the 19th International Conference on World Wide Web, (pp. 591-600). ACM. Retrieved from: http://dl.acm.org/citation.cfm?id=1772751 Access Date: January 20, 2014.
Lomborg, S. (2012). Researching communicative practice: Web archiving in qualitative social media research. Journal of Technology in Human Services, 30(3), 219-231. doi:10.1080/15228835.2012.744719 Retrieved from: http://www.tandfonline.com/doi/full/10.1080/15228835.2012.744719 Access Date: February 20, 2014.
Masue, O., Swai, I., & Anasel, M. (2013). The qualitative-quantitative 'disparities' in social science research: What does qualitative comparative analysis (QCA) brings in to bridge the gap? Asian Social Science, 9(10), 211-221. doi:10.5539/ass.v9n10p211 Retrieved from: http://web.ebscohost.com.ezproxy.library.dal.ca/ehost/pdfviewer/pdfviewer?sid=df039a08-8755-4c9f-87bb-dc5fd03093b0%40sessionmgr115&vid=6&hid=128 Access Date: February 18, 2014.
Parker, C., Saundage, D., & Lee, C. Y. (2011). AIS-Association of Information Systems. Can qualitative content analysis be adapted for use by social informaticians to study social media discourse? A position paper. . ACIS 2011: Proceedings of the 22nd Australasian Conference on Information Systems: Identifying the Information Systems Discipline. pp. 1-7. Retrieved from: http://dro.deakin.edu.au/eserv/DU:30041098/parker-canqualitative-2011.pdf Access Date: February 20, 2014.
Stephan, H. (2012). Revisiting the transatlantic divergence over GMOs: Toward a cultural-political analysis. Global Environmental Politics, 12(4), 104-124. Retrieved from: http://ezproxy.library.dal.ca/login?url=http://search.ebscohost.com/login.aspx?direct=true&db=aph&AN=82512501&site=ehost-live Access Date: January 28, 2014.
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