MemeTracker builds maps of the daily news cycle by analyzing around 900,000 news stories and blog posts per day from 1 million online sources, ranging from mass media to personal blogs.
We track the quotes and phrases that appear most frequently over time across this entire spectrum. This makes it possible to see how different stories compete for news and blog coverage each day, and how certain stories persist while others fade quickly.
The plot above shows the frequency of the top 50 quotes in the news and blogs over time, during the U.S. presidential election. For more read our paper:
J. Leskovec, L. Backstrom, J. Kleinberg. Meme-tracking and the Dynamics of the News Cycle. ACM SIGKDD Intl. Conf. on Knowledge Discovery and Data Mining, 2009.
D. Oberle, B. Berendt, A. Hotho, and J. Gonzalez. Advances in Web Intelligence, First International Atlantic Web Intelligence Conference, AWIC 2003, Madrid, Spain, May 5-6, 2003, Proceedings, volume 2663 of Lecture Notes in Artificial Intelligence, page 142-154. Springer, (2003)