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Ben M. Tappin

7 papers hereh-index 181.2k citations44 works total

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

author position
  • first author1
  • middle author5
  • last author1

Across the 7 of 7 papers where every author was matched, so the position is known.

fields
  • cs.CL3
  • cs.CY2
  • physics.soc-ph2

identity via Semantic Scholar / OpenAlex

activity
20182026
most citedWhen Large Language Models are More PersuasiveThan Incentivized Humans, and Why

7 citations · 12 across the 7 of their papers we have counts for

collaborators
Showing cs.CLShow all

3 papers · 1 filter

cs.CL2025★ 2 cited

The Levers of Political Persuasion with Conversational AI

Kobi Hackenburg, Ben M. Tappin, Luke Hewitt +7

There are widespread fears that conversational AI could soon exert unprecedented influence over human beliefs. Here, in three large-scale experiments (N=76,977), we deployed 19 LLM…

cs.CL2025★ 7 cited

When Large Language Models are More PersuasiveThan Incentivized Humans, and Why

Jiacheng Liu, Francesco Salvi, Philipp Schoenegger +37

Large Language Models (LLMs) have been shown to be highly persuasive, but when and why they outperform humans is still an open question. We compare the persuasiveness of two LLMs (…

cs.CL2024★ 3 cited

Evidence of a log scaling law for political persuasion with large language models

Kobi Hackenburg, Ben M. Tappin, Paul Röttger +3

Large language models can now generate political messages as persuasive as those written by humans, raising concerns about how far this persuasiveness may continue to increase with…

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