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Political Discourse Analysis

CVX applies temporal trajectory analysis to political speech, tracking how rhetorical strategies evolve over time. This has been validated on real parliamentary data with quantitative results.

  • ParlaMint-ES v5.0: 32,541 speeches from the Spanish Parliament (2015-2023)
  • 841 MPs (355 female, 486 male), CC-BY 4.0 license
  • TEI XML + plain text + TSV metadata with speaker gender, party, date

8 rhetorical dimensions defined as Spanish-language reference phrases:

AnchorDescription
ataque_personalAd hominem attacks, personal accusations
politica_socialSocial policy, welfare, public services
economiaEconomic policy, budgets, fiscal matters
emocionalEmotional appeals, dramatic rhetoric
institucionalInstitutional references, rule of law
territorialTerritorial debates, regional autonomy
generoGender equality, feminist policy
seguridadSecurity, defense, public order
  • Gender prediction from rhetoric: F1=0.94, AUC=1.00 — rhetorical profiles strongly differ by gender
  • Party > Gender: Within-party distance (1.084) < within-gender distance (1.231) — party affiliation drives rhetorical similarity more than gender
  • COVID impact on female MPs: Counterfactual analysis shows female MPs’ rhetorical trajectory diverged significantly from pre-COVID trends, with increased focus on politica_social and emocional anchors
FeaturePurpose
project_to_anchors()Rhetorical proximity profiles per speaker
anchor_summary()Mean position + trend per anchor dimension
counterfactual_trajectory()What-if analysis (COVID divergence)
cohort_drift()Gender/party group-level drift
temporal_join()Convergence windows between political groups
granger_causality()Cross-group rhetorical influence
discover_motifs()Recurring rhetorical patterns
NotebookFocusStatus
B8_parlamint_polarizationReal ParlaMint-ES data, gender/party analysis, COVID counterfactualComplete
B7_political_polarizationSynthetic political polarization frameworkSuperseded by B8
  • Political Rhetoric Analysis (B3) — Full interactive tutorial with temporal analytics on political speech: rhetorical drift, partisan clustering, counterfactual analysis