The Influence of Memetic Primers in Online Comments in Video Game Blogs
Author(s)
Ibrahim Yucel*
ABSTRACT
Through investigating a particular blog, several factors were found which have significant influence on reader actions. This study uses the term “memetic primers” for those s that most often cause readers to take notice of a particular comment, remember information included in it, and take action. The memetic primers were derived in a discourse analysis. The study discovered the memetic primers using logic-of-inquire approach to the online comments. While evidence indicated that the usefulness of some primers was low, it emerged those negatively written comments where the most common impact on a comment’s volume.
Through investigating a particular blog, several factors were found which have significant influence on reader actions. This study uses the term “memetic primers” for those s that most often cause readers to take notice of a particular comment, remember information included in it, and take action. The memetic primers were derived in a discourse analysis. The study discovered the memetic primers using logic-of-inquire approach to the online comments. While evidence indicated that the usefulness of some primers was low, it emerged those negatively written comments where the most common impact on a comment’s volume.
Cite this paper
I. Yucel, "The Influence of Memetic Primers in Online Comments in Video Game Blogs," Advances in Internet of Things, Vol. 2 No. 3, 2012, pp. 63-73. doi: 10.4236/ait.2012.23008.
I. Yucel, "The Influence of Memetic Primers in Online Comments in Video Game Blogs," Advances in Internet of Things, Vol. 2 No. 3, 2012, pp. 63-73. doi: 10.4236/ait.2012.23008.
References
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[1] L. A. Adamic and N. Glance, “The Political Blogosphere and the 2004 US Election: Divided They Blog,” Proceedings of the 3rd international Workshop on Link Discovery, Chicago, 21-24 August 2005. [2] Y. Chi, B. L. Tseng and J. Tatemura, “Eigen-Trend: Trend Analysis in the Blogosphere Based on Singular Value Decompositions,” Proceedings of the 15th ACM International Conference on Information and Knowledge Management, Arlington, 5-10 November 2006. [3] J. G. Conrad and F. Schilder, “Opinion Mining in Legal Blogs,” Proceedings of the 11th International Conference on Artificial Intelligence and Law, Stanford, 4-8 June 2007. [4] PricewaterhouseCoopers, “How Consumer Conversation Will Transform Business,” Pricewaterhouse Coopers, London, 2008. [5] I. Yucel, “Understanding the Sources and Bandwagon Effects in Blog Communities,” 2007. http://www.psu.edu/dept/medialab/researchpage/newabstracts/blog.html [6] S. S. Sundar, A. Oeldorf-Hirsch and Q. Xu, “The Bandwagon Effect of Collaborative Filtering Technology,” CHI’08 Extended Abstracts on Human Factors in Computing Systems, Florence, 2008, pp. 3453-3458. [7] S. S. Sundar, “The MAIN Model: A Heuristic Approach to Understanding Technology Effects on Credibility,” In: M. J. Metzger and A. J. Flanagin, Eds., Digital Media and Learning, 2007, pp. 73-100. [8] R. McArthur, “Uncovering Deep User Context from Blogs,” Proceedings of the Second Workshop on Analytics for Noisy Unstructured Text Data, Singapore, 24 July 2008. [9] P. Boutin, “Robot Wisdom on the Street,” 2005. http://www.wired.com/wired/archive/13.07/posts.html?pg=6 [10] R. Blood, “Weblogs: A History and Perspective,” 2000. http://www.rebeccablood.net/essays/weblog_history.html [11] J. Bar-Ilan, “An Outsider’s View on ‘Topic-Oriented Blogging’,” Proceedings of the 13th International World Wide Web Conference on Alternate Track Papers & Posters, New York, 17-20 May 2004, pp. 28-34. [12] B. Eatonweb, “The Blog Directory,” 2008. http://portal.eatonweb.com/ [13] R. Blood, “How Blogging Software Reshapes the Online Community,” Communications of ACM, Vol. 47, No. 12, 2004, pp. 53-55. [14] K. R. Cohen, “A Welcome for Blogs. Continuum,” Journal of Media & Cultural Studies, Vol. 20, No. 2, 2006, pp. 161-173. [15] M. Chymes, “An Incomplete Annotated History of Weblogs,” 2001. http://web.archive.org/web/20031119025356/ [16] http://www.chymes.org/hyper/weblogs.html [17] S. J. Blackmore, “The Meme Machine,” Oxford University Press, New York, 1999. [18] R. Dawkins, “The Selfish Gene,” Oxford University Press, Oxford, 1976. [19] R. Brodie, “Virus of the Mind: The New Science of the Meme,” Integral Press, Seattle, 2004. www.youtube.com/watch?v=tPgQsv2KPwc [20] A. Ohanian, “Alexis Ohanian: How to Make a Splash in Social Media,” 2009. [21] B. Nyhan and J. Reifler, “When Corrections Fail: The Persistence of Political Misperceptions,” Political Behavior, Vol. 32, No. 2, 2010, pp. 303-330. [22] S. S. Sundar and C. Nass, “Conceptualizing Sources in Online News,” Journal of Communication Research, Vol. 27, No. 6, 2001, pp. 683-703. [23] N. Fairclough, “Critical Discourse Analysis and the Marketization of Public Discourse: The Universities,” Discourse & Society, Vol. 4, No. 2, 1993, pp. 133-168. [24] J. P. Gee and J. L. Green, “Discourse Analysis, Learning, and Social Practice: A Methodological Study,” Review of Research in Education, Vol. 23, 1998, pp. 119-169. [25] L. V. Braekel, “The Impact of Blogging on Society and Politics,” 2007. http://lvb.net/item/5470