When an NYPD office pepper sprays peaceful protestors, the event is immediately captured on camera phones with subsequent citizen responses on YouTube and Twitter and news broadcasts capturing conflicting narratives.
We are seeking to create a framework for analyzing video and social media feeds that help develop a rich timeline of events and inter-related media reporting and crowd-sourced responses.
Our team is exploring this approach using a single event like the Pepper Spraying of protestors by NYPD officer Tony Bologna or the eviction of protestors from Zucotti Park on November 15th, 2012 by examining news articles, YouTube videos (and related metadata), and Twitter feeds. The following key elements are being developed in parallel:
1. Manual search and curation of all relevant news articles and videos of the event composed on MediaThread
2. Extraction of metadata from all YouTube videos using google’s Gdata API and Phython programming.
3. Filtering and compilation of Twitter feeds from the day of the event using data from R-Shief showing whether the news originated on Twitter or migrated there from other sources (and which ones).
4. Visualization of all the inter-related events using timeline tools such as SIMILE
While mock-up examples are shown here, we have some working prototypes in development that we will share shortly.