Jim جيم 吉姆 ג 'ים िजम ジム 짐 Джим

Jim جيم 吉姆 ג 'ים िजम ジム 짐 Джим BIG Data What it is. Where it is going. How it could transform your news business. Jim جيم 吉姆 ג 'ים िजम ジム 짐 Джим

Things can only get worse Optimism: Things can’t get any worse The Russian view Pessimism: Things can only get worse Optimism: Things can’t get any worse

The power of big data Impact of age on reading frequency (Romania)

The power of big data The old reader myth (UK) Readership penetration of UK national daily newspapers by age over time. % 1972 1980 1990 2000 2010 15-24 77.5 74.8 63.5 49.6 30.2 25-34 74.4 72.2 60.5 47.1 30.9 35-44 75.8 73.2 63.1 50.8 34.1 45-54 78.5 74.6 69 56.1 37.9 55-64 75.3 73.8 67.1 59.9 47.8 65+ 66.1 64.2 62.9 58.5 53.5 Var % -61.1 -58.4 -55.0 -51.7 -36.6 -19.0 -6.2 -12.5 -15.8 -23.2 -28 Over last 50 years young readership has fallen by over 60%. Readership among the over 65’s has fallen by 19%. People read most when they are youngest and read less as they get older. The rate of cohort decline is accelerating From 6% through the seventies’s, to 28% in the naughties. Source: CHISHOLM Analysis UK National Readership Survey, IPSOS

The power of big data Impact of income on reading frequency (Romania)

The power of big data Impact of education on reading frequency (Romania)

The power of big data Monthly online usage USA Total Unique Visitors (000) Total Pages Viewed (MM) Average Pages per Visitor All Internet 215,691 592,519 2,747 All Newspapers 123,897 5,339 43 New York Times 32,530 719 22 Tribune Newspapers 24,753 359 14 Advance Internet 18,053 326 18 USA Today 16,771 154 9 Washington Post 16,677 178 11 McClatchy 13,987 216 15 MediaNews 13,362 141 NYDaily News 12,502 122 10 Hearst 12,017 195 16 Wall Street Journal 11,325 115 FACT! Newspapers account for: 57% of web users 0.9% of total pages viewed 1.6% of pages per visitor Huffington Post 24,500 439 18 Source: Comscore

The power of big data The internet myth (Global) Macro level Positive correlation Micro level No correlation FACT! No statistical evidence that the internet is damaging circulation Country by country, analysis shows positive link Four national, title by title analyses show no link Position confirmed by Reuters Institute study in 7 countries Have got this data. Sources: Chisholm, UK ABC, UK eABC, Reuters Institute.

The power of big data Big data big connections (Facebook) No Average Jim 731 Jim’s connections 56526 77 Connections connections 9,685,791 171

What is data journalism Phillip Meyer 1970! First published in 1972. The use by reporters of social science research techniques to increase the depth and accuracy of major stories. Fully updated, fourth edition. Using new technology to analyze data and provide more precise information in easier-to-understand forms. http://www.amazon.co.uk/Precision-Journalism-Reporters-Introduction-Science/dp/0742510883/ref=sr_1_1?s=books&ie=UTF8&qid=1370251489&sr=1-1&keywords=precision+journalism

“The application of big data for social change represents a relatively new trend.” The Guardian, 30 May 2013 The Guardian, 1821

What is data journalism Creation and execution Visualise Narrate Socialise Humise Personalise Utilise http://en.wikipedia.org/wikipedia Marko Lorenz 2010 http://onlinejournalismblog.com Paul Bradshaw 2011

The Digital Advertising Landscape The market mess

Big data Big connections Content Audience Customers Audience

Putting big data to work News media intelligence hub Central unit holding all market and library Share resources: Prospect databases Marketing research Financial research Story content Story names Linkage tools between systems Content Communicators Consumers Financial knowledge

Jim جيم 吉姆 ג 'ים िजम ジム 짐 Джим jim@jimchisholm.net Jim جيم 吉姆 ג 'ים िजम ジム 짐 Джим