Fortune 500 Corporate Blogs: References and Bibliography

This page contains links to the references and bibliography for my study of sentiment in Fortune 500 corporate blog memes. I tried to avoid of direct links to PdF files since the source isn’t always clear and I included several links to Google HTML versions of PdF documents.

I also tried to steer clear paid sources of academic articles where possible but some were the only links I could find. If you find better links to any of these articles send me an email and I’ll update the list.

Corporate Blogs

• Burson-Marsteller. (2008). The Fortune 500 Blogging Index: Corporations and the Conversation. Available from: http://www.digitalperspectiveblog.com/about/.

• Edelman/Technorati. (2005). Engaging the Blogosphere. Available from: www.edelman.com/image/insights/content/bloggerstudy_final2%20(3).ppt.

• eMarketer. (2006). The Business of Blogging. Available from: http://www.emarketer.com/Reports/All/Blogs_aug06.aspx.

• Holtz, S. and Demopoulos, T. (2006). Blogging for Business: Everything You Need to Know and Why You Should Care. New York: Kaplan Publishing.

• Kelleher, T. and Miller, B. M. (2006). Organizational Blogs and the Human Voice: Relational Strategies and Relational Outcomes. Journal of Computer-Mediated Communication, 11(2):395-414.

• Scoble, R. and Israel, S. (2006). Naked Conversations: How Blogs are Changing the Way Businesses Talk with Customers. Hoboken: John Wiley & Sons Inc.

• Technorati (n.d.). About Us. Available from http://www.technorati.com/about/.

• Wikipedia. (n.d.). Blog. Available from http://en.wikipedia.org/wiki/Blog.

• Wikipedia. (n.d.). Meme. Available from http://en.wikipedia.org/wiki/Meme.

• Wright, J. (2005). Blog Marketing: The Revolutionary New Way to Increase Sales, Build Your Brand, and Get Exceptional Results. New York: McGraw-Hill.

• Zenith Optimedia. (2008). Advertising boom in developing markets compensates for credit crunch in the West. Available from: http://www.zenithoptimedia.com/gff/pdf/Adspend%20forecasts%20March%202008.pdf.

Information Diffusion in Social Networks

• Adar, E. and Adamic, L. A. (2005). Tracking Information Epidemics in Blogspace. Presented at the 2005 IEEE/WIC/ACM International Conference on Web Intelligence: Compiègne, France.

• Benkler, Y. (2006). The Wealth of Networks: How Social Production Transforms Markets and Freedom. New Haven: Yale University Press.

• Equílez, V. M. and Klemm, K. (2002). Epidemic Thresholds in Structured Scale-Free Networks. Physical Review Letters, 89(10): id. 108701.

• Feick, L. F. and Price, L. L. (1987). The Market Maven: A Diffuser of Marketplace Information. Journal of Marketing, 51(1):83-97.

• Gladwell, M. (2000). The Tipping Point: How Little Things Can Make a Big Difference. New York: Little, Brown and Company.

• Granovetter, M. (1978). Threshold Models of Collective Behavior. The American Journal of Sociology, 83(6):1420-1443.

• Gruhl, D., Guha, R., Liben-Nowell, D. and Tomkins, A. (2004). Information Diffusion Through Blogspace. Presented at the 13th International World Wide Web Conference: New York, NY.

• Java, A., Kolari, P., Finin, T. and Oates, T. (2006). Modeling the Spread of Influence on the Blogosphere. Technical report, University of Maryland, Baltimore, MD.

• Katz, E. and Lazarsfeld, P. (1955). Personal Influence: The Part Played by People in the Flow of Mass Communications. New York: Free Press.

• Keller, E. and Berry, J. (2003). The Influentials: One American in Ten Tells the Other Nine How to Vote, Where to Eat, and What to Buy. New York: Free Press.

• Kempe, D., Kleinberg, J. and Tardos, E. (2003). Maximizing the Spread of Influence Through a Social Network. Presented at Proceedings of the Ninth International Conference of Knowledge Discovery and Data Mining: Washington, DC.

• Kottke, J. (2003). Weblogs and Power Laws. Available from: http://www.kottke.org/03/02/weblogs-and-power-laws.

• Kumar, R., Novak, J., Raghaven, P. and Tomkins, A. (2003). On the Bursty Evolution of Blogspace. Presented at Proceedings of the 12th International World Wide Web Conference: Budapest, Hungary.

• Rogers, E. M. (1962). Diffusion of Innovations, 5th Edition. Englewood Cliffs: Prentice Hall.

• Shirky, C. (2003). Power Laws, Weblogs, and Inequality. Available from: http://www.shirky.com/writings/powerlaw_weblog.html.

• Tybout, A. M., Calder, B. J. and Sternthal, B. (1981). Using Information Processing Theory to Design Marketing Strategies. Journal of Marketing Research, 18(1):73-79.

• Wikipedia. (n.d.). Social network. Available from http://en.wikipedia.org/wiki/Social_network.

• Wikipedia. (n.d.). User-generated content. Available from http://en.wikipedia.org/wiki/User_generated_content.

Word of Mouth

• Arndt, J. (1967). Role of Product-Related Conversations in the Diffusion of a New Product. Journal of Marketing Research, 4(3):291-295.

• Bolfing, C. P. (1989). How do customers express dissatisfaction and what can service marketers do about it? Journal of Services Marketing, 3(2):5–23.

• Brown, J. J and Reingen, P. H (1987). Social ties and word-of-mouth communications during product consumption. Advances in Consumer Research. 14:350-362.

• Buttle, F. (1998). Word of mouth: understanding and managing referral marketing. Journal of Strategic Marketing, 6(3):241-254.

• eMarketer. (2007). Word of Mouth Marketing: Winning Friends and Influencing Customers. Available from: http://www.emarketer.com/Reports/All/Emarketer_2000419.aspx.

• Gelb, B. and Johnson, M. (1995). Word-of-Mouth Communication: Causes and Consequences. Journal of Health Care Marketing, 15(3):54-58.

• Godin, S. (1999). Permission Marketing: Turning Strangers Into Friends And Friends Into Customers. New York: Simon & Schuster.

• Goldenberg, J., Libai, B. and Muller, E. (2001). Talk of the Network: A Complex Systems Look at the Underlying Process of Word-of-Mouth. Marketing Letters, 12(3):211-223.

• Herr, P. M., Kardes, F. R. and Kim, J. (1991). Effects of Word-of-Mouth and Product Information Persuasion: An Accessibility-Diagnosticity Perspective. Journal of Consumer Research, 17(4):454-462.

• Levine, R., Locke, C., Searls, D. and Weinberger, D. (2000). The Cluetrain Manifesto: 10th Anniversary Edition. Cambridge: Perseus Books.

• Mangold, W. G. (1987). Use of Commercial Sources of Information in the Purchase of Professional Services: What the Literature Tells Us. Journal of Professional Services Marketing, 3(1):5-17.

• McConnell, B. and Huba, J. (2003). Creating Customer Evangelists: How Loyal Customers Become a Volunteer Sales Force. Chicago: Dearborn Trade Publishing.

• McConnell, B. and Huba, J. (2007). Citizen Marketers: When People Are the Message. Chicago: Kaplan Publishing.

• Murray, K. B. (1991). A Test of Services Marketing Theory: Consumer Information Acquisition Activities. Journal of Marketing, 55(1):10-25.

• Ogan, C. (2007). Communication Technology and Global Change. Communication Technology and Social Change. Edited by Lin, C. A. and Atkin, D. J. Mahwah: Lawrence Erlbaum Associates.

• Rosen, E. (2000). The Anatomy of Buzz: How to Create Word of Mouth Marketing. New York: Double Day.

• Sernowitz, A. (2006). Word of Mouth Marketing: How Smart Companies Get People Talking. Chicago, IL: Kaplan Publishing.

• Sheth, J. N. (1971). Word of Mouth in Low-Risk Innovations. Journal of Advertising Research, 11(3):15-18.

• Singh, J. and Pandya, S. (1991). Exploring the Effects of Consumers’ Dissatisfaction Level on Complaint Behaviors. European Journal of Marketing, 25(9):7-21.

• Word of Mouth Marketing Association (WOMMA). (n.d.). Word of Mouth 101. Available from http://www.womma.org/wom101/.

Sentiment Analysis

• Chelsey, P., Vincent, B., Xu, L. and Srihari, R, K. (2006). Using Verbs and Adjectives to Automatically Classify Blog Sentiment. Proceedings of the Spring Symposia on Computational Approaches to Analyzing Weblogs: Stanford, CA.

• Das, S. R. and Chen, M. Y. (2007). Yahoo! for Amazon: Sentiment Extraction from Small Talk on the Web. Management Science, 53(9): 1375-1388.

• Hatzivassiloglou, V. and McKeown, K. R. (1997). Predicting the Semantic Orientation of Adjectives. Proceedings of the 35th Annual Meeting of the ACL and the 8th Conference of the European Chapter of the ACL: New Brunswick, NJ.

• Java, A. (2007). A Framework for Modeling Influence, Opinions and Structure in Social Media. Proceedings of the National Conference on Artificial Intelligence: Vancouver, Canada.

• Pang, B., Lee, L. and Vaithyanathan, S. (2002). Thumbs up? Sentiment Classification using Machine Learning Techniques. Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP): Philadelphia, PA.

• Pang, B. and Lee, L. (2004). A Sentimental Education: Sentiment Analysis Using Subjectivity Summarization Based on Minimum Cuts. Proceedings of the 42nd Annual Meeting on Association for Computational Linguistics: Barcelona, Spain.
  

• Turney, P. D. (2002). Thumbs Up or Thumbs Down? Semantic Orientation Applied to Unsupervised Classification of Reviews. Proceedings of the 40th Annual Meeting of the Association for Computational Linguistics (ACL’02): Philadelphia, PA.

• Wiebe, J., Wilson, T. and Cardie, C. (2005). Annotating expressions of opinions and emotions in language. Language Resources and Evaluation (formerly Computers and the Humanities), 1(2).

• Wikipedia. (n.d.). Sentiment Analysis. Available from: http://en.wikipedia.org/wiki/Sentiment_analysis.

Related Pages

• Fortune 500 Corporate Blogs
  • Full List of Fortune 500 Corporate Blogs
  • Corporate Blog Selection Criteria
  • Research Background and Methodology
  • Disclaimers, Caveats and Limitations

Posted on June 19, 2009