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“A journalism based on scientific method leaves a trail where error can be detected and truth verified.”

Philip Meyer, “Precision Journalism”

The Markup is a nonprofit newsroom that investigates how powerful institutions are using technology to change our society. We are a new kind of media organization, staffed with an unparalleled roster of quantitative journalists who pursue meaningful data-driven investigations. Our approach is scientific: We build datasets from scratch, bulletproof our reporting, and show our work. We call this The Markup Method. 

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Accuracy and Corrections

We strive to be accurate and fair in our reporting on all platforms. We aim to be transparent about our evidence and our sources, and provide supporting data and documentation whenever possible. We endeavor to provide context for the data we present. Our goal is for our work to represent our best independent judgment. Here are our policies on accuracy and corrections:

  • We are truthful about the sources of our information. We seek to attribute information or images to their original source if we did not collect it ourselves. We do not tolerate plagiarism or fabrication.
  • We seek to be fair. We will make a significant effort to obtain a response from people and institutions that we write about, and we will explain in the article what efforts we made to seek comment.
  • When we learn that we have made a mistake, we will quickly seek to correct it in the place that the incorrect material originally appeared. We will make it easy for readers to contact us to seek corrections.
  • We are transparent about the updates, corrections, clarifications, or other changes we have made to a story or a dataset after publication—even if those changes occur just a few minutes or hours after publication.
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Impartiality and Conflicts of Interest

Editorial decisions at The Markup will not be influenced by donors, sources, or other outside forces. Here are our policies on impartiality:

  • Donors, members of the board of directors, and others outside The Markup’s editorial process are not allowed to see our stories before publication.
  • We always pay our own way when traveling for editorial purposes.
  • Our journalists may not buy or sell individual securities in companies that they cover regularly.
  • We do not pay for interviews.
  • We believe in transparency. We will disclose within an article anything that we think might be perceived as a conflict of interest—whether it be a mention of a donor’s project or a journalist with a history of advocacy on a particular issue.
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Data Ethics

Gathering large amounts of data, including through automated means, is a centerpiece of our work. We analyze data to help us find and tell stories that will help people better understand their world. We are only interested in the truth. We don’t cherry-pick from the data we have or exaggerate the strength of our findings where they are weak or uncertain.

  • We make serious efforts to protect data from unauthorized access, tampering, accidental disclosure, or other harm or actions while we are collecting and storing it. We aim to keep data safe, secure, and private.
  • We make serious efforts to check and verify the data that we have collected. If we are unable to verify it, we are transparent about that.
  • When we publish findings, we aim to be transparent about our assessment of their strength, reliability and limitations. We acknowledge the assumptions we have made in our analysis, including any appropriate disclaimers and (if used) weighting.
  • When we publish data, we strive to be forthcoming about its source and how it was compiled, cleaned and analyzed. We aim to give some assessment of our evaluation of its overall quality and validity. We clearly and fully report the steps we have taken to preserve data integrity.
  • Whenever possible, we aim to publish all the data underlying our stories so that others can read, evaluate, and reuse it. We aim to balance the value of making it public with individual privacy or safety considerations, and/or by our need to protect sources.
  • We use accepted statistical analysis techniques and prefer techniques that are well-known and time-tested; we do not p-hack.
  • We aim for transparency and reproducibility in our findings.
  • When we publish personally identifiable or other sensitive personal information, we aim to balance the public interest against the legitimate expectation of privacy by individuals. Whenever possible, we strip out identifiers that we don’t need.
  • When we publish personally identifiable data or other sensitive personal information, we strive to make it clear how individuals can request corrections of any inaccuracies, and we specify how long we will retain and publish the data and when we will delete and dispose of it.
  • We aim for our tables and graphics to accurately reflect the data they contain and to be clear and simple. We generally only use actual data. In instances in which we need to project, surmise, or estimate, we label that clearly.
  • If we discover postpublication that we have made mistakes in our analysis, or there have been other problems that disprove our findings or seriously call them into question, we publicly correct the record and disseminate the correction publicly.