TweetViz: Following Twitter Hashtags to Support Storytelling.
Lorena Lucas Regattieri, Ryan Chartier, Jennifer Windsor, Geoffrey Rockwell · 2014
How can visualizations of massive amounts of information be made more useful for data journalists? The availability of large amounts of publicly available user generated content is opening new opportunities to study social, cultural, and communications phenomenon. Computer assisted analysis now makes it possible to explore the relationship between nodes and text without having to choose between data size and depth. To create a visualization technique that would allowed us to reveal the network of actors and the main themes hidden in a large dataset, we had to work in a method of inquiry for social sciences. Based on the actor-network theory (ANT) we explored a dataset extracted from Twitter in order to map relationships and indicate new possibilities for journalists by discovering main themes around a hashtag, this way we interpret a layer of text multiple times, analyzing the nodes in