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.
TubeMogul is a free service that provides a single point for deploying uploads to the top video sharing sites, and analytics on who, what, and how videos are being viewed.
Discover what people are really saying on Twitter. With Twitrratr you can distinguish negative from positive tweets surrounding a brand, product, person or topic
Search for your site URL and the results displayed will un-shorten all shortened links in tweets that link to your site. It does not matter what URL shortening service someone uses when tweeting about your site, BackTweets will resolve all shortened URL’s to display the ones pointing to your site.
Twitter corpus for Sentiment Analysis from a class (cs224n)at Stanford.
Class page:
https://sites.google.com/site/twittersentimenthelp/for-researchers#Where_is_the_Tweet_corpus_8553
http://www.stanford.edu/~alecmgo/cs224n
P. Hitzler, and G. Zhang. Proceedings of the 12th International Conference on Conceptual Structures (ICCS 2004), volume 3127 of Lecture Notes in Computer Science, page 170-185. Springer, (2004)