R&D Gossip – our food for thought section.

01. Telling Breaking News Stories from Wikipedia with Social Multimedia: A Case Study of the 2014 Winter Olympics. Read more

02. AP on robot reporters: ‘I can’t have journalists spending a ton of time data processing’. Read more

03. “The delivery system for providing context has changed radically, even as the need for that context is more important than ever“, Margaret Sullivan. Read more

04. Social, Search and Direct – Pathways to Digital News. Read more

05. 1970: Earliest example of robot journalism – automated weather forecasts. Read more

06. Two MIT Media Labbers are developing a “context curation platform” that aims to explain what you need to know without taking you out of the reading experience. Read more

07. Mining Customer Insights with Speech-to-Text Technology. Read more

08. Listening to the voice of the customer: Telerx reveals new insights into consumer behavior with speech-to-text analytics. Read more

09. How to Build a Text Mining, Machine Learning Document Classification System in R. Read more

10. Data divorced from context: Understanding data requires real world expertise. Read more