{
  "annotation_id": "30163d88-696e-46f1-87f4-3fb5021ebf7e",
  "date_created": "2026-02-17T05:53:19.285000Z",
  "date_modified": "2026-02-17T05:53:19.285000Z",
  "file_hash": "ddd7b8277528c06b6cfdee41255a80fa2f138f155a33986c13425d3dfd99ea34",
  "private": false,
  "record": {
    "abstract": "This study investigates the use of computational audio analysis to examine ideological narratives in Nazi propaganda films. Employing a three-step pipeline, speaker diarization, audio transcription and psycholinguistic analysis, it reveals ideological patterns in characters. Despite current issues with speaker diarization, the methodology provides insights into character traits and propaganda narratives, suggesting scalable applications.",
    "arxiv_id": "2601.08879",
    "authors": [
      "Nicolas Ruth",
      "Manuel Burghardt"
    ],
    "categories": [
      "cs.SD",
      "eess.AS"
    ],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "title": "Echoes of Ideology: Toward an Audio Analysis Pipeline to Unveil Character Traits in Historical Nazi Propaganda Films",
    "url": "https://arxiv.org/abs/2601.08879",
    "version": "v1"
  },
  "schema_id": "dorsal/arxiv",
  "source": {
    "execution_id": "f17ac167-dc43-484e-994f-984ac696b597",
    "id": "arXiv Dataset",
    "type": "Model",
    "variant": "snapshot-2026-01-17",
    "version": "0.1.0"
  },
  "user_id": 1000002
}