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researcher

Thomas H. Costello

3 papers hereh-index 332 citations8 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author2
  • middle author1

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.AI2
  • cs.HC1

identity via Semantic Scholar / OpenAlex

works on
AI guardrails 1conspiracy beliefs 1human-ai interaction 1large language models 1misinformation 1persuasion 1

From the 1 of 3 linked papers with an AI index.

collaborators

3 papers

cs.HC2026

Reducing belief in conspiracy theories as they unfold using large language models

Thomas H. Costello, Nathaniel Rabb, Michael Nicholas Stagnaro +2

The emergence of conspiracy theories in the wake of major events is a significant societal challenge. Here we test whether conversational dialogues with a large language model (LLM…

cs.AI2026

Large language models can effectively convince people to believe conspiracies

Thomas H. Costello, Kellin Pelrine, Matthew Kowal +6

The paper investigates whether large language models can be used to persuade people to adopt or reject conspiracy beliefs, finding that LLMs can both increase and decrease belief d…

cs.AI2026

It's the Thought that Counts: Evaluating the Attempts of Frontier LLMs to Persuade on Harmful Topics

Matthew Kowal, Jasper Timm, Jean-Francois Godbout +6

Persuasion is a powerful capability of large language models (LLMs) that both enables beneficial applications (e.g. helping people quit smoking) and raises significant risks (e.g.…

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