Inductive Claims Extraction at Scale
A large part of political discourse on social media is built and expressed at a level of claims: i.e. declarative, typically single-clause statements, which convey a particular interpretation of reality and can range from factual to evaluative. Moreover, rather than occurring randomly, claims coalesce, recur in patterns, and come to be associated with different world views. When paired with structural computational tools such as Social Network Analysis, claims can be a powerful unit of analysis to study political phenomena such as echo chambers or polarisation. In this paper, we present a pipeline that uses a large language model (LLM) to inductively extract and catalogue claims from larg...
| Authors | Sandrine Chausson, Björn Ross |
|---|---|
| Primary category | cs.CL |
| Published | 4 October 2026 |
| Last updated at source | 6 October 2026 |
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