The Minds, Machine, and Society group is led by Prof. Soroush Vosoughi who is an assistant professor of computer science at Dartmouth. Part of the larger machine learning lab at Dartmouth, our group's interests lie at the intersection of natural language processing, machine learning, network science, and social media analytics. Our group is especially interested in computational social science, developing computational tools (with a large focus on NLP tools) to study social systems and issues, such as political polarization, bias, propaganda, rumors, mental health, and hate speech. The methods we study cover various technical topics, from style transfer and psycho- and socio-linguistic models to few-shot learning, prompt-based methods, and data augmentation. We are particularly interested in studying the bias, morality, and interpretability of foundation language models that have revolutionized NLP and that our research relies on.

Prof. Vosoughi was awarded a Google Research Scholar Award in 2022 and an Amazon Research Award in 2019. His work has received multiple best paper awards and nominations, including the best paper award at AAAI 2021. He is a faculty member of the Institute for Security, Technology, and Society (ISTS) and a faculty affiliate at the Quantitative Biomedical Sciences (QBS) program at Dartmouth. He currently serves as a technical advisor to Public Mind, a nonprofit organization focused on developing AI systems for fostering a healthier online public sphere. Prior to coming to Dartmouth, he was a postdoctoral associate at MIT and a fellow and later an affiliate at the Berkman Klein Center at Harvard University. As a postdoc at MIT, he was the technical director of the "Electome" project where his team of graduate and undergraduate students developed a collection of tools for automatic detection and categorization of election-related content on Twitter. The team was invited to be an official partner of the Commission on Presidential Debates during the 2016 elections. Prof. Vosoughi also served as a technical advisor to the nonprofit organization Cortico from 2016 to 2019. He received his PhD, MSc and BSc from MIT in 2015, 2010, and 2008 respectively.