Mediatwits #100: Data Visualizations at LA Times; Defining a Journalist or Acts of Journalism? | Mediashift | PBS

As digital platforms become more complex, journalists no longer simply ask themselves how best to portray a story with words and pictures. The digital medium provides unique and dynamic opportunities for stories and data to come to life. Data visualization — graphs, animations, interactives, and more — is increasingly becoming one more tool in a journalist’s storytelling kit. This week, we’ll be joined by Len de Groot, the new director of data visualization at the Los Angeles Times, to discuss how media outlets are pushing the limits of visual storytelling. We’ll also take a more philosophical turn on this episode and discuss the tricky issue of defining a journalist, especially in the context of penning shield laws that protect journalists from identifying their sources. To make sense of that debate, we’ll be joined by MediaShift contributors Jonathan Peters and Josh Stearns. We’ll also be joined by our regular panelist Andrew Lih of American University, new media consultant Sarah Evans, and our host Mark Glaser of MediaShift.

via Mediatwits #100: Data Visualizations at LA Times; Defining a Journalist or Acts of Journalism? | Mediashift | PBS.

Gallery of Data Visualization – Timelines

Timelines and Visual Histories

How can you show the details of a history visually? Time provides one obvious dimension. What else can you show to tell the story? Most timeline charts use a 2D representation, time x {place or theme}. Some are more successful in integrating additional dimensions.

This page is an annotated visual gallery of some timeline designs from their origin to today. Although time is one-dimensional, telling some story of history visually is much more complex, and it is quite instructive to see together how different graphic designers have aproached this problem.

via Gallery of Data Visualization – Timelines.

Twitter Chatter During the Super Bowl – Interactive Map – NYTimes.com

Twitter Chatter During the Super Bowl

As the Steelers and Cardinals battled on the field, Twitter users across the nation pecked out a steady stream of “tweets.” The map shows the location and frequency of commonly used words in Super Bowl related messages.

via Twitter Chatter During the Super Bowl – Interactive Map – NYTimes.com.

Welcome to TextMap

TextMap is a search engine for entities: the important (and not so important)people, places, and things in the news. Our news analysis system automatically identifies and monitors these entities, and identifies meaningful relationships between them.

TextMap analyzes both the temporal and geographical distribution of news entities. We literally monitor the state-of-the-world through our analysis of roughly 1000 domestic and international news sources every day.

TextMap uses natural language processing techniques to track entity references in news sources, and a variety of statistical techniques to analyze the relationships between them. Check us out!

via Welcome to TextMap.

PNNL: InfoViz – Technologies – ThemeRiver™

The ThemeRiver™ visualization helps users identify time-related patterns, trends, and relationships across a large collection of documents. The themes in the collection are represented by a “river” that flows left to right through time. The river widens or narrows to depict changes in the collective strength of selected themes in the underlying documents. Individual themes are represented as colored “currents” flowing within the river. The theme currents narrow or widen to indicate changes in individual theme strength at any point in time.

via PNNL: InfoViz – Technologies – ThemeRiver™.