Barbara Maseda is on a John S. Knight Journalism Fellowship project at Stanford University, where she is working on designing text processing solutions for journalists. In a special guest post she explains what she’s found so far — and why she needs your help.
Over the last few months, I have been talking to journalists about their trials and tribulations with textual sources, trying to get as detailed a picture as possible of their processes, namely:
- how and in what format they obtain the text,
- how they find newsworthy information in the documents,
- using what tools,
- for what kinds of stories,
…among other details.
What I’ve found so far is fascinating: from tech-savvy reporters who write their own code when they need to analyze a text collection, to old-school investigative journalists convinced that printing and highlighting are the most reliable and effective options — and many shades of approaches in between.
What’s your experience?
If you’ve ever dug a story out of a pile of text, please let me know using this questionnaire. It doesn’t matter if you’ve used more or less sophisticated tools to do it.
Here are a few reasons and incentives to contribute: Continue reading →