March 16, 2009

Last week, Harvard University’s Berkman Center for Internet & Society launched Media Cloud, an intriguing tool that could help researches and others understand how stories spread through mainstream media and blogs.
       
According to Nieman Journalism Lab:

Media Cloud is a massive data set of news — compiled from newspapers, other established news organizations, and blogs — and a set of tools for analyzing those data. Some of the kinds of questions Media Cloud could eventually help answer:
–How do specific stories evolve over time? What path do they take when they travel among blogs, newspapers, cable TV, or other sources?

–What specific story topics won’t you hear about in [News Source X], at least compared to its competitors?

–When [News Source Y] writes about Sarah Palin [or Pakistan, or school vouchers], what’s the context of their discussion? What are the words and phrases they surround that topic with?”

The obvious use of this project is to compare coverage by different types of media. But I think a deeper purpose may be served here: By tracking patterns of words used in news stories and blog posts, Media Cloud may illuminate how context and influence shape public understanding — in other words, how media and news affect people and communities.

This is important, because news and the media do not exist for their own sake. It seems to me that the more we learn about how people affect — and are affected — by the media, the better we’ll be able to craft effective media for the future.

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Amy Gahran is a conversational media consultant and content strategist based in Boulder, CO. She edits Poynter's group weblog E-Media Tidbits. Since 1997 she�s worked…
Amy Gahran

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