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Creative Commons metrics

From mlinksva, 1 year ago

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Slideshow transcript

Slide 1: Creative Commons metrics Mike Linksvayer Vice President, Creative Commons 2007-06-14

Slide 2: 2002 Most licensed works referenced on the web... ...search for “Creative Commons”

Slide 3: 2003 Most licensed works on the web link to license used... ...search for backlinks link:http://creativecommons.org/licenses/by/1.0/

Slide 4: 2004 Daily collection of link counts from AlltheW eb and Yahoo! (Google's link: query support is poor)

Slide 5: 2005 Yahoo! Search for CC launches in Spring Google's launches in fall

Slide 6: 2006 Collect daily data from Yahoo! and Google CC API queries

Slide 7: Search engine metrics: good Fairly easy W eb scale (hard to overstate)

Slide 8: Search metrics: bad Estimates Volatile (estimation algorithm, index, dist.) Fraction of web (e.g., Flickr) Hard to make sense of

Slide 9: Search metrics: bad (2) Limited by search engine query support

Slide 10: Yahoo!/AlltheWeb 30 day averages

Slide 11: AlltheWeb by jurisdiction unported 37189180 mx 55210 es 2260538 se 39230 it 1120530 hr 39038 kr 807950 at 37076 de 777300 hu 35461 fr 718600 za 32303 jp 401509 bg 29244 ca 315850 scotland 26168 tw 313299 pt 22430 us 290910 my 21163 uk 200450 pe 19724 nl 163527 il 17894 br 123988 co 17101 be 96539 dk 12365 cn 91510 fi 8553 pl 74857 si 6927 au 59398 in 4773 cl 59262 ch 1824 ar 55600 mt 193

Slide 12: Yahoo!/AlltheWeb 30 + Google/CC

Slide 13: Trend? Up, but how?

Slide 14: Baseline numbers from top content curators Flickr Soundclick Revver Jamendo many more...

Slide 15: Music & Video

Slide 16: Photography

Slide 17: Jamendo creators

Slide 18: Jamendo fans

Slide 19: Exponential growth? Conjecture: Linear growth at content curators Linear growth of content curators

Slide 20: New pools ~2007 eyeVio (video, Sony) Jamglue, Splice, Kompoz (music) SlideShare (presentations) Swivel (graphs) many more...

Slide 21: Indirect metric: web traffic

Slide 22: Web traffic: Alexa

Slide 23: Traffic by jurisdiction (Alexa) Users: Rank: U.S. (25.6%) Italy (1402) Germany (7.9%) South Africa (1469) U.K. (6.1%) Spain (1491) Spain (5.3%) Germany (1757) Italy (4.6%) Switzerland (1778) Canada (3.4%) Bulgaria (2786) Japan (3.2%) Croatia (2837)

Slide 24: Next challenges Characterize licensed content, creators, users Measure reuse Qualitative measures (e.g., awards) Secondary impacts

Slide 25: Mike's mistakes Not inviting outside analysis Not giving metrics enough cycles

Slide 26: How you can help Notify of new curators Help get data from curators Code, research, analysis

Slide 27: How you can help (2) Evangelize CC (successes will eventually be reflected in numbers)

Slide 28: Mike Linksvayer ml@creativecommons.org presentation license http://creativecommons.org/licenses/by/3.0/