Hi there! I am a first-year Ph.D. student in the Department of Government at Harvard University.

My research is at the intersection of politics and computing. I am interested in the political economy of technology and information, including the influence, perception, and regulation of traditional and social media, automation and prediction technologies, and other emerging technologies. I am also interested in using and creating natural language processing, machine learning, and game theoretic models to study political beliefs and behaviors.

Previously, I received my B.S. in Computer Science with a minor in Political Science at Columbia University, where I was advised by Prof. Kathleen McKeown and Prof. Carlo Prato. I have also worked with the Research and Development department at the New York Times and the News Framing Lab at the University of Southern California’s Information Sciences Institute.

To get in touch, email me at acamara (at) g (dot) harvard (dot) edu.

Publications

Mapping the Multilingual Margins: Intersectional Biases of Sentiment Analysis Systems in English, Spanish, and Arabic.
António Câmara, Nina Taneja, Tamjeed Azad, Emily Allaway, Richard Zemel.
Second Workshop on Language Technology for Equality, Diversity, Inclusion (LT-EDI), 2022.
[link]

Detecting Polarized Topics Using Partisanship-aware Contextualized Topic Embeddings.
Zihao He, Negar Mokhberian, António Câmara, Andrés Abeliuk, Kristina Lerman.
Findings of the Conference on Empirical Methods in Natural Language Processing (EMNLP), 2021.
[link]

Teaching

COMS 4705: Natural Language Processing, Columbia University.
Spring 2022. Head Teaching Assistant. Instructor: Prof. Yassine Benajiba.
Spring 2021, Fall 2021. Teaching Assistant. Instructor: Prof. Kathleen McKeown.
Summer 2021 (A). Teaching Assistant. Instructor: Dr. Daniel Bauer.