Sample interview questions: How do you ensure that your data journalism work is free from personal biases?
Sample answer:
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Transparency: Clearly state the sources of your data and how you collected it. Be transparent about any limitations or biases in your data.
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Replication: Whenever possible, make your data and code publicly available so that others can verify your results.
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Peer review: Have your work reviewed by other data journalists, statisticians, and experts in the field.
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Contextualization: Avoid presenting data in a misleading way. Make sure to provide context and background information so that readers can understand the significance of your findings.
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Balance: Present multiple perspectives and viewpoints on the issue you are investigating. Avoid cherry-picking data to support a particular conclusion.
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