Truthy is a research project that helps you understand how memes spread online. We collect tweets from Twitter and analyze them. With our statistics, images, movies, and interactive data, you can explore these dynamic networks.
Our first application was the study of astroturf campaigns in elections. Currently, we're extending our focus to several themes. Browse the collection on the Memes page. Check out the Movie tool to browse and create animations of meme networks.
Brad Fitzpatrick recently wrote an elegant and important post about the Social Graph, a term used by Facebook to describe their social network. In his post, Fitzpatrick defines "social graph" as "the global mapping of everybody and how they're related". He went on to outline the problems with it, as well as a broad set of goals going forward. One problem is that currently you need to have different logins for different social networks. Another issue is portability and ownership of an individual's information, explicitly and implicitly revealed while using social networks. As was recently asserted in the Social...
The CLEVER search engine incorporates several algorithms that make use of the Web's hyperlink structure for discovering high-quality information. It can be exceedingly difficult to locate resources on the World Wide Web that are both high-quality and relevant to a user's informational needs. Traditional automated search methods for locating information on the Web are easily overwhelmed by low-quality and unrelated content. Second generation search engines have to have effective methods for focusing on the most authoritative documents. The rich structure implicit in hyperlinks among Web documents offers a simple, and effective, means to deal with many of these problems. Additional Information: Publications:
A. Park, B. Beck, D. Fletche, P. Lam, and H. Tsang. 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), page 880-883. (August 2016)
P. Singer, D. Helic, A. Hotho, and M. Strohmaier. Proceedings of the 24th International Conference on World Wide Web, page 1003--1013. Republic and Canton of Geneva, Switzerland, International World Wide Web Conferences Steering Committee, (2015)
V. Bryl, C. Giuliano, L. Serafini, and K. Tymoshenko. The Semantic Web -- ISWC 2010: 9th International Semantic Web Conference, Shanghai, China, Revised Selected Papers, Part I, volume 6496 of Lecture Notes in Computer Science, Springer, Berlin, (2010)
P. Berkhin, J. Beche, and D. Randall. Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining, page 414--419. ACM, (2001)