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I have a life-time commitment to studying technology and democracy. I've studied artificial intelligence in the United States Election, bots that spread COVID-19 misinformation, and the role social media plays in the Floyd Protests. My recent work also applies machine learning and quantitative analysis to offshore finance and mentorship networks.

 

My work has been featured in The Washington Post, the New York Times, Scientific American, and the Swiss National TV, and I collaborate with a few companies to better understand human behavior. For a full list of publications, please see my Google Scholar and press coverage in popular features.

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Highlighted Research

Mathematical Prestige: Elitism and Inequality

Chang & Fu

In mathematics, who you know matters. A network of 200,000 advisors and students show concerted efforts by academic committees, such as prize giving, can either reinforce the existing elite or reshape its definition.

Complex Systems of Secrecy: Offshore System of Oligarchs

Chang, Harrington, Fu, & Rockmore

Following the invasion of Ukraine, sanctions on oligarchs came under fire due to the oligarchs’ successful evasion. We analyze the role of an overlooked but highly influential group: the secretive professional intermediaries.

How Instagram Facilitated the 2020 BLM Protests

Chang, Richardson, & Ferrara

During the Floyd protests, positive framing emerged from unlikely opinion leaders: entertainment and meme accounts. Through 1.1 million photos, we show how content creators and citizen journalists shaped one of America's largest human rights movements.

Liberals Engage with more Diverse and Toxic Content 

Chang, Druckman, Ferrara, & Willer

Most Americans receive some political information through social media. Analyzing ten years of Twitter data (n=4 billion), we explore how liberals and conservatives engage with political information from elites. 

Recent Research

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