Visualizations

Update: February 2nd, 2009

You can use this form to create charts showing information about different media sources.  The Media Cloud system identifies relevant terms from news stories and allows you to do analysis of that data.  Try it.  If you find something interesting, leave a comment below.

Step 1: Choose Chart Type

Top 10: Show the top 10 most mentioned terms for each media source.

Top 10 Term Pivot: Show the top 10 most mentioned terms for each media source that occur in stories along with the specified term. (eg: “Show me the terms which occur most frequently in stories about obama.)”
Term:

World Map: Show a world map of each media source, with darker colors indicating more coverage of those countries.

Step 2: Choose Up To Three Sources:
(Just start typing: eg. New York Times)








BBC:


Wall Street Journal:


FOX News:


  1. March 17th, 2009 at 12:50
    Reply | Quote | #1

    wow, very nice tool

  2. Sonja
    March 17th, 2009 at 14:50
    Reply | Quote | #2

    I agree.

    @julie

  3. marten
    March 18th, 2009 at 14:47
    Reply | Quote | #3

    it would add tremendous analytical power if meta data on the sources could be included, so as to also be able to select types of sources, not just titles (for instance geographical data, daily-weekly-monthly publications, mediatype, that sort of thing)

  4. March 25th, 2009 at 13:55
    Reply | Quote | #4

    This is a great analytical resource. Would be nice to have further granularity on the queries but overall a solid start…congrats!

  5. March 26th, 2009 at 16:39
    Reply | Quote | #5

    Seems like some search term results cut off (there are ellipses…). Also agree they are hard to read. And ditto on the Canadian news sources — which I see you’ve noted. Thanks Ed. ;)

  6. Mimi
    March 29th, 2009 at 09:33
    Reply | Quote | #6

    How about including major media houses by region especially in misled reporting areas like Africa. Who told BBC to misrepresent Africa when there are so many other major reporting media houses for example: Agha Khan Foundation owns very credible Nationsmedia.Com with paper and TV programs all over. BBC has been a propaganda machine showing only chaos and poverty in Africa, failing to balance the true image of situations. Lets see how source and validation will go.

    How about checking if it is a recycled article? Sometimes the media house damp old articles popping them like they are breaking news.

  7. mimi
    March 29th, 2009 at 09:59
    Reply | Quote | #7

    Since the the underground journalism through the internet is overtaking the conventional media houses it might be good to deliberate on the content generation and validation of online media based on the most visited per region.

  8. Larry
    August 5th, 2009 at 06:45
    Reply | Quote | #8

    My first search yields surprising results!

  9. Jean Bensadoun
    August 5th, 2009 at 06:49
    Reply | Quote | #9

    very cool..

  10. John
    August 6th, 2009 at 10:00

    I think the entire concept behind your project is fantastic and plan to follow your progress.

    As for this tool in particular (writing as a computer scientist): I wonder how these terms are extracted. What dictionary are you using to distinguish phrases from single words? Example: in top 10 of the Asbury Park Press I get ‘monmouth’ and ‘monmouth county’.

    Also, I’m seeing phrases and words that might be section/edition titles in every single paper. Like: ‘ocean county’, which I suspect might come from Ocean County Edition being printed in every single paper. Is there any way to filter out headings and section titles?

  11. March 9th, 2010 at 20:56

    great feature!

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