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.

Recent News (last 12 months)
[July 2022] Accepted invitation to serve on the Program Committee of W-NUT@COLING 2022
[June 5, 2022] Prof. Vosoughi honored with a Google Research Scholar Award in Natural Language Proceesing for his proposal titled "Culture-Aware Language Models"
[June 2, 2022] Congratulations to MMS Ph.D. student Ruibo Liu for winning the 1st place for the Neukom Prize for Outstanding Graduate Research in Computational Science for 2022
[June 2, 2022] Congratulations to MMS undergraduate student Yakoob Khan for winning the 3rd place for the Neukom Prize for Outstanding Undergraduate Research in Computational Science for 2022
[May, 2022] Accepted invitation to serve as a member of the Program Committee for NeurIPS 2022
[May, 2022] Accepted invitation to serve as a member of the Senior Program Committee for AAAI ICWSM 2023
[April 7, 2022] Three papers accepted to NAACL 2022, one paper accpeted to Findings of the NAACL 2022
[April 2022] PhD student Ruibo Liu to start a summer 2022 internship at Google Brain
[April 2022] PhD student Xiaobo Guo to start a summer 2022 internship at Amazon Research
[April 2022] PhD student Yiren Jian to start a summer 2022 internship at Snap Research, Creative Vision Group
[April 2022] PhD student Yuansheng Xie to start a summer 2022 internship at Capital One, Data Science
[March 18, 2022] Two papers accepted to AAAI ICWSM 2022
[Feburary 28, 2022] Our paper, "EnCBP: A New Benchmark Dataset for Finer-Grained Cultural Background Prediction in English", has been accepted to The Findings of ACL 2022
[Feburary 3, 2022] Accepted invitation to serve on the program committee of NAACL 2022 workshop on HCI + NLP
[January, 2022] Accepted invitation to serve on the review committee of ICML 2022
[January 21, 2022] Two papers accepted to ICLR 2022
[January 20, 2022] An extension of our AAAI 2021 paper that won the best paper award has been published in the Journal of Artificial Intelligence
[December, 2021] Accepted invitation to serve as a member of the Senior Program Committee for AAAI ICWSM 2022, January Cycle
[November 26, 2021] Our paper, titled "Dynamic Structural Role Node Embedding for User Modeling in Evolving Networks" has been published in the ACM Transactions on Information Systems (ACM TOIS)
[October 2021] Accepted invitation to serve on the Program Committee for the ACM Web Conference (WebConf) 2022
[October 2021] Our paper, titled "Feature Selection for Multivariate Time Series via Network Pruning" has been accepted to the ICDM 2021 workshop on Systematic Feature Engineering for Time-Series Data Mining (SFE-TSDM)
[October 6, 2021] Accepted invitation to serve on the Program Committee for IJCAI-ECAI 2022
[September 15, 2021] Our paper, titled "SymptomID: A Framework for Rapid Symptom Identification in Pandemics Using News Reports" has been published in the ACM Transactions on Management Information Systems (ACM TMIS)
[September 5, 2021] Accepted invitation to serve on the Program Committee of AAAI 2022
[September 2021] Serving on the Curriculum Committee of the CS department for 2021-2022
[August 26, 2021] Our paper, titled "GradTS: A Gradient-Based Automatic Auxiliary Task Selection Method Based on Transformer Networks" has been accepted to EMNLP 2021
[August 18, 2021] Selected as a finalist for Facebook's research award for Statistics for Improving Insights, Models, and Decisions
[August 16, 2021] Our paper, titled "Using impression data to improve models of online social influence" has been published in the journal Scientific Reports
[August 10, 2021] Two papers accepted to CIKM 2021