How online discussion boards informed our study of what ‘news’ means to Americans
We share the “why” and “how” behind our use of an online discussion board as a qualitative research method.
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How a glitch in an online survey replaced the word ‘yes’ with ‘forks’
Dating back to at least early 2023, a bizarre and alarming technical glitch started popping up in some organizations’ online surveys and forms.
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Validating 2022 voters in Pew Research Center’s survey data
Knowing who voted is critical to developing an accurate understanding of an election’s outcome.
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Pew Research Center’s tips for journalists covering polls – during election season and beyond
We’ve compiled some tips for journalists who use polling in their work during election season and beyond.
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How Pew Research Center is – and is not – using large language models in our work
In this post, we’ll share our current guidelines for the internal use of large language models and potential areas of experimentation.
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What a survey experiment tells us about measuring religious tolerance in Australia
We ran a survey experiment on religious tolerance in Australia to examine whether respondents’ answers capture a general distaste for religion rather than intolerance for particular religious groups.
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Measuring partisanship in Europe: How online survey questions compare with phone polls
We compared three different online survey methods in certain countries to see which one would most closely replicate our phone results.
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Reproducibility as part of code quality control
In this post, we discuss reproducibility as a part of Pew Research Center’s code review process.
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Redacting identifying information with computational methods in large text data
In this post, we discuss three methods to identify and remove specific words and phrases in unstructured text data.
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How we adopted Kubernetes for our data science infrastructure
In this post, we delve into Kubernetes – the back-end tool that powers the systems our research team interacts with.
