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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.

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

1 citations · 1 across the 3 of their papers we have counts for

collaborators
Showing cs.AIShow all

2 papers · 1 filter

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★ 1 cited

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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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.