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We address this challenge to democratic opinion formation with a\u00a0two-pronged approach. On the one hand, we identify specific conspiracy narratives in a\u00a0social media corpus; on the other hand, we look at general linguistic dimensions that contribute to the overall drivel-like quality of such texts regardless of the narratives involved. For the present contribution, six distinct dimensions, along with an overall measure of drivel-like quality, were assessed using a\u00a0five-point Likert scale. A\u00a0sample of approximately 2000 texts drawn from German Telegram was manually annotated. We present the calculation of inter-annotator agreement to evaluate annotation consistency, conduct correlation analyses to examine the relationships between the individual dimensions, and fit a\u00a0linear model to predict the overall drivel-like quality of the texts based on the individual dimensions. In addition, we train ordinal regression models to predict the values of each dimension from bag-of-\n                    <jats:italic>n<\/jats:italic>\n                    -grams representations. Finally, an analysis of feature weights identifies which\n                    <jats:italic>n<\/jats:italic>\n                    -grams serve as the most reliable indicators of each dimension.\n                  <\/jats:p>","DOI":"10.1007\/s13222-026-00528-w","type":"journal-article","created":{"date-parts":[[2026,2,2]],"date-time":"2026-02-02T17:28:26Z","timestamp":1770053306000},"page":"5-14","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Narratives and Linguistic Features of Drivel"],"prefix":"10.1007","volume":"26","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4785-9205","authenticated-orcid":false,"given":"Philipp","family":"Heinrich","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Andreas","family":"Blombach","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Stephanie","family":"Evert","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Fabian","family":"Sch\u00e4fer","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2026,2,2]]},"reference":[{"issue":"S1","key":"528_CR1","doi-asserted-by":"publisher","DOI":"10.1111\/pops.12568","volume":"40","author":"KM Douglas","year":"2019","unstructured":"Douglas\u00a0KM, Uscinski\u00a0JE, Sutton\u00a0RM, Cichocka\u00a0A, Nefes\u00a0T, Ang\u00a0CS, Deravi\u00a0F (2019) Understanding conspiracy theories. 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