Statistical significance is a highly technical, nuanced mathematical concept. Journalists who cover academic research should have a basic understanding of what it represents and the controversy surrounding it.
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An experiment finds small changes in framing and word choice can elicit significant changes in how science skeptics engage with news coverage of climate change.
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This updated collection of research aims to help journalists better understand and ask more probing questions about white supremacy and far-right organizations.
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Insurance companies have failed to follow a federal law that expands access to mental health treatments. But many factors, including clinician shortages, also affect progress.
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Their 18-month investigation also reveals why regulators failed to correct the problem and its impact on workers and the surrounding community.
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Two reporters explain how they overcame major barriers investigating FEMA and share tips on interviewing hesitant sources, building data journalism skills and more.
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Two experiments reveal that Democrats tend to see female and minority judges as less biased than white male judges. Republicans often hold the opposite view.
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In this updated piece, we explain the most common types of research papers journalists will encounter, noting their strengths and weaknesses.
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This recording of our 50-minute training session shows journalists how research can be a powerful tool for holding governments and politicians accountable and fighting disinformation.
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The results of our 2021 user survey offer insights into how journalists use academic research, why they don’t do it more often and more.
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