Tips for journalists working with math, statistics: A list of key resources
A 2016 list of math-related resources for media professionals of various experience and backgrounds.
Tip Sheets
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What should I be following to keep up with technology and news media issues? 10 suggested sources
2016 tip sheet offering 10 sources of information to help journalists stay informed on issues related to news media and technology.
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Localizing the climate change mitigation story in your state and region: Some data tools
2016 tip sheet that offers journalists several tools and sources they can use to localize the larger, national story of emissions reductions.
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The journalistic method: Five principles for blending analysis and narrative
Columbia Journalism School’s Nicholas Lemann explains a series of rules that can help journalists successfully integrate research and reporting.
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Getting started with data visualization: A quick primer to jump-start the process
2016 tip sheet on using visualization software and applications to create charts, maps and other visual or interactive storytelling elements.
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Covering the financial markets intelligently
Overview of how to write stories about the markets, including stocks, bonds and more
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Reporting with Web and social media data: Some helpful tools
2016 tip sheet explaining several online tools that journalists can use to analyze Web traffic and social media patterns, including patterns related to popular search terms, hashtags and URLs.
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Crowdsourced projects and skewed results: Research findings on participation and social influence factors
2015 and 2011 papers in PNAS that highlight dynamics within crowdsourcing projects and provide notes of caution around factors that can produce weaker or even flawed results.
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The growing problem of Internet “link rot” and best practices for media and online publishers
Ten linking “best practices,” with an emphasis on stability and transparency. The goal is to reduce the chance that links will go bad, minimize the work going forward and maximize the utility for users.
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Using Python to scrape a website and gather data: Practicing on a criminal justice dataset
Tutorial on how to use the programming language Python to scrape website data from a local county prison roster. The exercise highlights website source code and data structures.
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