Work

I study the societal aspects of AI-enabled news and social media curation and try to understand how language generated by AI systems affects trust. Here is some of my recent work:

The Perception That Profile Text Was Written by AI Affects Trustworthiness

2019 ACM Conference on Human Factors in Computing Systems (CHI '19).

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How Different Groups Prioritize Ethical Values for Responsible AI

2022 ACM Conference on Fairness, Accountability, and Transparency (FAccT '22).

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Human Heuristics for AI-Generated Language Are Flawed

Under review.

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Interacting with Opinionated Language Models Changes Users’ Views

Under review.

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Effects of Algorithmic Trend Promotion: Evidence from Coordinated Campaigns in Twitter’s Trending Topics

To appear at: 2023 International Conference on Web and Social Media (ICWSM '23).

Trend Alert: A Cross-Platform Organization Manipulated Twitter Trends in the Indian General Election

2021 ACM Conference on Human-Computer Interaction (CSCW '21).

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Source, Headline and Expressive Responding in Political News Evaluation

2019 Computation and Journalism Symposium.

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How Partisan Crowds Affect News Evaluation

2020 Truth and Trust Online Conference (TTO '20).

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AI-Mediated Communication, Legislative Responsiveness, and Trust in Democratic Institutions

To appear in: Technologies of Deception, MIT University Press .

Alternative Realities: Belief in Partisan News Depends on Favorable Content More Than on a Trusted Source

Under review.

Information Operations Between WhatsApp and Twitter in the 2019 Indian General Elections

7th International Conference on Computational Social Science (IC2S2 '20).

Information Credibility and Alternative Realities in Troubled Democracies

In Reports of the 15th International Conference on Web and Social Media, ICWSM 2021.

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Humans Predictably Fail to Detect Fake Self-Presentations Generated by AI

In Workshop on Bridging HCI and NLP, EACL Association for Computational Linguistics, 2021.

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