Madeleine I. G. Daepp

According to our database, Madeleine I. G. Daepp authored at least 9 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

How Early Adopters Used Generative AI Worldwide: Variation by Country Income and Language.

Madeleine I. G. Daepp, Isaac Slaughter

CoRR, May, 2026

2025

Generative Propaganda.

Madeleine I. G. Daepp, Alejandro Cuevas, Robert Osazuwa Ness, Vickie Yu-Ping Wang, Bharat Kumar Nayak, Dibyendu Mishra, Ti-Chung Cheng, Shaily Desai, Joyojeet Pal

CoRR, September, 2025

Collecting Qualitative Data at Scale with Large Language Models: A Case Study.

Alejandro Cuevas Villalba, Jennifer V. Scurrell, Eva Maxfield Brown, Jason Entenmann, Madeleine I. G. Daepp

Proc. ACM Hum. Comput. Interact., 2025

The Emerging Generative Artificial Intelligence Divide in the United States.

Madeleine I. G. Daepp, Scott Counts

Proceedings of the Nineteenth International AAAI Conference on Web and Social Media, 2025

Anecdoctoring: Automated Red-Teaming Across Language and Place.

Alejandro Cuevas, Saloni Dash, Bharat Kumar Nayak, Dan Vann, Madeleine I. G. Daepp

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

2024

The Emerging AI Divide in the United States.

Madeleine I. G. Daepp, Scott Counts

CoRR, 2024

2023

Automated Interviewer or Augmented Survey? Collecting Social Data with Large Language Models.

Alejandro Cuevas Villalba, Eva Maxfield Brown, Jennifer V. Scurrell, Jason Entenmann, Madeleine I. G. Daepp

CoRR, 2023

The "Three-Legged Stool": Designing for Equitable City, Community, and Research Partnerships in Urban Environmental Sensing.

Madeleine I. G. Daepp, Alex Cabral, Tiffany M. Werner, Raed Mansour, Charlie Catlett, Asta Roseway, Chuck Needham, Nneka Udeagbala, Scott Counts

Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, 2023

2022

Eclipse: An End-to-End Platform for Low-Cost, Hyperlocal Environmental Sensing in Cities.

Madeleine I. G. Daepp, Alex Cabral, Vaishnavi Nattar Ranganathan, Vikram Iyer, Scott Counts, Paul Johns, Asta Roseway, Charlie Catlett, Gavin Jancke, Darren Gehring, Chuck Needham, Curtis von Veh, Tracy Tran, Lex Story, Gabriele D'Amone, Bichlien H. Nguyen

Proceedings of the 21st ACM/IEEE International Conference on Information Processing in Sensor Networks, 2022