Royal Holloway: Research Institution — Prolific Citations Library

Browse 2 peer-reviewed papers from Royal Holloway spanning LLM scaling laws, Political Persuasion (2022–2024). Research powered by Prolific's high-quality participant data.

This page lists 2 peer-reviewed papers from researchers at Royal Holloway in the Prolific Citations Library, a curated collection of research powered by high-quality human data from Prolific.

Papers (2 of 2)

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

Authors: K Hackenburg, BM Tappin, P Röttger, S Hale

Year: 2024

Published in: arXiv preprint arXiv ..., 2024 - arxiv.org

Institution: University of Oxford, The Alan Turing Institute, Royal Holloway, University of London, Bocconi University, Meedan

Research Area: LLM scaling laws, Political Persuasion, LLM, AI Social Science

Discipline: Political Science, Artificial Intelligence

Persuasiveness of messages generated by large language models follows a log scaling law with diminishing returns as model size increases, and task completion appears to primarily drive this capability.

Methods: Generated 720 persuasive messages on 10 U.S. political issues using 24 language models of varying sizes; evaluated persuasiveness through a large-scale randomized survey experiment.

Key Findings: Persuasiveness of large language model-generated political messages across different model sizes.

Citations: 17

Sample Size: 25982
On the realness of people who do not exist: The social processing of artificial faces

Authors: R Tucciarelli, N Vehar, S Chandaria, M Tsakiris

Year: 2022

Published in: Iscience, 2022 - cell.com

Institution: University of London Royal Holloway

Research Area: Social Processing, Artificial Faces, Face Perception

Discipline: Psychology

Citations: 53