Monitoring Media Attention




Ethan Zuckerman (@ethanz)
             Quantified Self
                 May 2011
Media attention and the quantified self
Media attention and the quantified self
step 0: Understand how a system works for others

step 1: Understand how your behavior varies from models

step 2: Based on understanding models, your behavior: optimize
cc flickr photo by Alex Barth
visualization of global air routes
by “a trotskyite”, 2009. CC-attribution
Media
Ecosystems
Media attention and the quantified self
Nutritional Information:
New York Times

Ingredients: International coverage 42%
(includes 8% Iraq, 5% Afghanistan, minimum
weekly 5% China, and no less than 2% Africa),
Washington coverage 28% (includes 7%
Obama, 6% Congress, and trace amounts of
Limbaugh), New York State/Albany coverage
14%, New York City coverage 10%, and less
than 6% domestic US coverage.

Warning: contains less than 40% of sports
coverage of the leading competitor, the New
York Post, and 50% of business coverage of
the Wall Street Journal. May contain less than
your recommended daily allowance of Latin
America News.
Media attention and the quantified self
Where do 20-somethings
get their news?
rescuetime.com
Need a Shazam for
radio, TV, offline media
Media attention and the quantified self
Compared to your friends:
This week, you’ve paid attention to You used the Web 23% more and
media for 47h 42m, including:       saw 13% less Broadcast TV. You
                                    read 34% about China than your
32h 12m - Web                       friends, but 13% less about South
7h 32m - Radio                      America.
5h 17m - Podcasts                   You may have missed:
4h 23m - Recorded Video             Riz Khan’s Interview with Fela Kuti,
2h 27m - Broadcast TV               which appeared in 7% of the feeds of
                                    Africa-watchers.
Categories
27% Entertainment
22% Sports
19% International News
17% Tech industry News
15% National News
via MMMeja
thanks!
(and please accost me if you
        want to talk more...)

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Media attention and the quantified self

  • 1. Monitoring Media Attention Ethan Zuckerman (@ethanz) Quantified Self May 2011
  • 4. step 0: Understand how a system works for others step 1: Understand how your behavior varies from models step 2: Based on understanding models, your behavior: optimize
  • 5. cc flickr photo by Alex Barth
  • 6. visualization of global air routes by “a trotskyite”, 2009. CC-attribution
  • 9. Nutritional Information: New York Times Ingredients: International coverage 42% (includes 8% Iraq, 5% Afghanistan, minimum weekly 5% China, and no less than 2% Africa), Washington coverage 28% (includes 7% Obama, 6% Congress, and trace amounts of Limbaugh), New York State/Albany coverage 14%, New York City coverage 10%, and less than 6% domestic US coverage. Warning: contains less than 40% of sports coverage of the leading competitor, the New York Post, and 50% of business coverage of the Wall Street Journal. May contain less than your recommended daily allowance of Latin America News.
  • 13. Need a Shazam for radio, TV, offline media
  • 15. Compared to your friends: This week, you’ve paid attention to You used the Web 23% more and media for 47h 42m, including: saw 13% less Broadcast TV. You read 34% about China than your 32h 12m - Web friends, but 13% less about South 7h 32m - Radio America. 5h 17m - Podcasts You may have missed: 4h 23m - Recorded Video Riz Khan’s Interview with Fela Kuti, 2h 27m - Broadcast TV which appeared in 7% of the feeds of Africa-watchers. Categories 27% Entertainment 22% Sports 19% International News 17% Tech industry News 15% National News
  • 17. thanks! (and please accost me if you want to talk more...)

Editor's Notes

  • #2: \n
  • #3: type one diabetic since age 13, big believer in the power of personal tracking, though somewhat amazed that people are willing to voluntarily do something that's deeply involuntary for diabetics \nat first, tracking glucose is about figuring out the basic dynamics of the disease\nthen it's about reassurance - everything's going okay, if it's not, find ways to adjust\n
  • #4: eventually, ideally, becomes about debugging - I really should be able to eat these sugarfree brownies, but thus far, they spike my sugar the next day - continue experimenting and debug \nlots to log, not all of it easily quantifiable, and factors (insulin, diet, exercise, health, mood) are factors in the equation\n
  • #5: \n
  • #6: trying to use that logic to think about tracking consumption of media:\nmy consumption, to understand what I'm seeing\nyour consumption, to understand what I'm not seeing\neach of our amplification, to understand what we're paying attention to and passing on to others\n
  • #7: why:\nI'm a globalist - believe that having as wide a picture of the world as possible to critical for success in a globalized world\nI'm an activist, and I want to hack the media to get more attention to the causes and issues I care about. \n\n
  • #8: Understanding media from an ecosystem view - how do stories move between social and broadcast media, how do people discover, choose to read and choose to amplify stories, and what does that mean to the people who surround them\n
  • #9: getting better at understanding what gets talked about in media - mediacloud, which looks at the language used in different corners of media on a week by week basis\n
  • #10: ultimate goal is to get to the point where it's possible to put nutritional information labels on media\nonly gets us part of the way - want to know what parts of these sites get viewed and ignored, what catches people's attention so that they follow up on it and share with others...\n
  • #11: broadcast media tends to know their usage only in aggregate, and with a great deal of estimation - Nielsen's dependence on user diaries. estimates in circ figures. And a great guessing game as to what actually got watched and ignored.\nindividual websites may know a good bit about how their users use their site, but generally don't know a ton about what those users do on other sites.\n
  • #12: When you ask a question like: Where do 20-somethings get their news? we generally get answers via survey - Pew Internet and American Life\n
  • #13: want a good tool that tracks what media I encounter online and offline. Some combination of a tool like Rescue Time (slide) that watches my online actions, \n
  • #14: and a tool that makes it easier to keep a diary of offline media - where I can tell the tool I listened to NPR from 7:30 - 7:50 and it will pull URLs for the stories I heard.\n
  • #15: Something that takes the online and offline URLs I've encountered and hashes against something like Media Cloud to make a judgement about what type of media, topic, location I heard about. And something that then compares my outputs - Twitter feeds, blog posts, to see which caught my attention\n
  • #16: Ideally, want a tool that you'd want to use as well, because comparing your behavior to peers can be useful, as could comparisons to experts in different fields - potentially quite helpful to see what someone knowledgeable about events in the middle east reads to follow stories. \n
  • #17: Get enough people using this sort of toolkit and you'll start to get a map of ecosystems - not just what's popular, but how people amplify and spread info. Potentially powerful for activists who want to get people to pay attention... certainly likely to be popular for marketers, advertisers, content producers as well\n\nMy real reason for doing it - I want to be maximally informed, and analysis lets me see where I'm well-informed and where I'm missing things. At present, tools mostly let me see what I may be potentially encountering (mapping who I follow on twitter), rescue time to understand what I'm spending more time on than I perceive myself to be. \n
  • #18: \n