Dana Calacci

15 papers A* 2Journal 11Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
FairFare: A Tool for Crowdsourcing Rideshare Data to Empower Labor Organizers.
ACM Trans. Comput. Hum. Interact.
Dana Calacci, Varun Nagaraj Rao, Samantha Dalal, Catherine Di, Kok-Wei Pua, Andrew Schwartz, Danny Spitzberg, Andrés Monroy-Hernández
2026 A* conf
Interaction Context Often Increases Sycophancy in LLMs.
CHI
Shomik Jain, Charlotte Park, Matt Viana, Ashia Wilson, Dana Calacci
2026 A* conf
Surveillance, Spacing, Screaming and Scabbing: How Digital Technology Facilitates Union Busting.
CHI
Frederick Reiber, Nathan Chan-Yeong Kim, Allison McDonald, Dana Calacci
2026 J jnl
Surveillance, Spacing, Screaming and Scabbing: How Digital Technology Facilitates Union Busting.
CoRR
Frederick Reiber, Nathan Chan-Yeong Kim, Allison McDonald, Dana Calacci
2025 J jnl
Dead Zone of Accountability: Why Social Claims in Machine Learning Research Should Be Articulated and Defended.
CoRR
Tianqi Kou, Dana Calacci, Cindy Lin
2025 J jnl
Evaluating Amazon Effects and the Limited Impact of COVID-19 With Purchases Crowdsourced from US Consumers.
CoRR
Alex Berke, Dana Calacci, Alex Pentland, Kent Larson
2025 J jnl
Extended AI Interactions Shape Sycophancy and Perspective Mimesis.
CoRR
Shomik Jain, Charlotte Park, Matheus Mesquita Viana, Ashia Wilson, Dana Calacci
2025 J jnl
FairFare: A Tool for Crowdsourcing Rideshare Data to Empower Labor Organizers.
CoRR
Dana Calacci, Varun Nagaraj Rao, Samantha Dalal, Catherine Di, Kok-Wei Pua, Andrew Schwartz, Danny Spitzberg, Andrés Monroy-Hernández
2025 J jnl
FareShare: A Tool for Labor Organizers to Estimate Lost Wages and Contest Arbitrary AI and Algorithmic Deactivations.
CoRR
Varun Nagaraj Rao, Samantha Dalal, Andrew Schwartz, Amna Liaqat, Dana Calacci, Andrés Monroy-Hernández
2025 J jnl
Measuring risks inherent to our digital economies using Amazon purchase histories from US consumers.
CoRR
Alex Berke, Kent Larson, Sandy Pentland, Dana Calacci
2025 — conf
QuaLLM: An LLM-based Framework to Extract Quantitative Insights from Online Forums.
NAACL (Findings)
Varun Nagaraj Rao, Eesha Agarwal, Samantha Dalal, Dana Calacci, Andrés Monroy-Hernández
2025 J jnl
Rideshare Transparency: Translating Gig Worker Insights on AI Platform Design to Policy.
Proc. ACM Hum. Comput. Interact.
Varun Nagaraj Rao, Samantha Dalal, Eesha Agarwal, Dana Calacci, Andrés Monroy-Hernández
2024 — conf
As an AI Language Model, "Yes I Would Recommend Calling the Police": Norm Inconsistency in LLM Decision-Making.
AIES (1)
Shomik Jain, Dana Calacci, Ashia Wilson
2024 J jnl
Insights from an Experiment Crowdsourcing Data from Thousands of US Amazon Users: The importance of transparency, money, and data use.
Proc. ACM Hum. Comput. Interact.
Alex Berke, Robert Mahari, Alex Pentland, Kent Larson, Dana Calacci
2024 J jnl
Rideshare Transparency: Translating Gig Worker Insights on AI Platform Design to Policy.
CoRR
Varun Nagaraj Rao, Samantha Dalal, Eesha Agarwal, Dana Calacci, Andrés Monroy-Hernández