Frozen LLMs with balanced retrieval-augmented prompting detect astroturf campaigns better than GNN baselines on a 2016 US election dataset, but the reported margins are overstated.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CL 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Network-informed Prompt Engineering against Organized Astroturf Campaigns under Extreme Class Imbalance
Frozen LLMs with balanced retrieval-augmented prompting detect astroturf campaigns better than GNN baselines on a 2016 US election dataset, but the reported margins are overstated.