Measuring News Consumption in a Digital Era
As news outlets morph and multiply, both surveys and passive data collection tools face challenges.
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Rising share of lawmakers – but few Republicans – are using the term Latinx on social media
One-quarter of United States lawmakers mentioned the term on Facebook or Twitter during the 116th Congress.
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Sharp decline in remittances expected in 2020 amid COVID-19 lockdowns in top sending nations
Remittances – money sent by migrants to their home countries – are projected to fall by a record 20% this year.
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For Global Legislators on Twitter, an Engaged Minority Creates Outsize Share of Content
Although most national officials use the platform, their posts receive only a small number of likes and retweets.
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Nigerians living near a major Belt and Road project grew more positive toward China after it was completed
Our analysis assesses the relationship between Nigerians’ distance to a major Chinese investment in their country and their views toward China.
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Tweets by members of Congress tell the story of an escalating COVID-19 crisis
More than half of all tweets sent by members of the U.S. Congress between March 11 and 21 were related to the coronavirus outbreak.
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Q&A: Why we studied American sermons and how we did it
Dennis Quinn, computational social scientist, explains how our analysis of sermons came together and the challenges that arise when religion meets big data.
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The Digital Pulpit: A Nationwide Analysis of Online Sermons
This Pew Research Center analysis harnesses computational techniques to identify, collect and analyze the sermons that U.S. churches livestream or share on their websites each week.
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10 facts about Americans and YouTube
Using public opinion surveys and large-scale data analysis, we have studied the content on YouTube and how the U.S. public engages with it.
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A small group of prolific users account for a majority of political tweets sent by U.S. adults
These users make up just 6% of all U.S. adults with public accounts, but they account for 73% of tweets from adults that mention politics.
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The challenges of using machine learning to identify gender in images
This essay on the lessons we learned about deep learning systems and gender recognition is one part of a three-part examination of issues relating to machine vision technology.
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