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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. I also helped invent an award-winning instrument.

 

My work has been featured in The Washington Post, the New York TimesScientific 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.

Highlighted Research

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.

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.

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.

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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