The article investigates the vocabulary richness in oral political communication, focusing on how word usage varies across texts of different lengths. It proposes a model that explains lexicon growth by dividing the overall vocabulary into terms derived from general and specialized glossaries.
By Dominique Labbe, Cyril Labbe, Jacques Savoy
The study investigates how bilingual politicians structure the timing of their speeches in Luxembourgish and French, analyzing 400 sentences from ten speakers. Rhythm metrics were computed for consonants and vowels, revealing that consonant patterns are largely speaker-specific while vowel patterns are strongly influenced by language choice. French tokens exhibited longer, more variable vowels and vocalic intervals, whereas consonant timing differences were smaller, with no significant language-by-gender interactions.
By Nina Hosseini-Kivanani, Nafiseh Taghva, Peter Gilles, Oliver Niebuhr
The study examined 400 utterances from 10 politicians speaking in both Luxembourgish and French to determine how much of charismatic prosody is due to speaker identity versus language. Mixed‑effects modeling revealed that speaker identity explained most of the variance, while language contributed less but still produced systematic differences: French speech had higher shimmer and phrase‑final F0, suggesting a polite, respectful tone, whereas Luxembourgish speech showed stronger mid‑frequency spectral energy, indicating a more vocally present profile. These acoustic patterns reflect the sociolinguistic roles of Luxembourgish as an informal identity language and French as a high‑prestige institutional variety.
By Nina Hosseini-Kivanani, Nafiseh Taghva, Peter Gilles, Oliver Niebuhr
arXiv:2508.16013v2 Announce Type: replace
Abstract: Large language models (LLMs) are increasingly deployed in politically sensitive contexts, raising concerns about their susceptibility to ideologica...
By Pietro Bernardelle, Stefano Civelli, Leon Fr\"ohling, Riccardo Lunardi, Kevin Roitero, Gianluca Demartini
arXiv:2608.30828v1 Announce Type: new
Abstract: We present three large-scale studies of spoken parliamentary speech across four Slavic languages (Croatian, Czech, Polish, Serbian), drawing on over 6,...
By Ivan Porupski, Nikola Ljube\v{s}i\'c
arXiv:2609.15207v1 Announce Type: new
Abstract: Generative AI writing assistants and the Large Language Models (LLMs) that power them are increasingly part of how voters gather information before ele...
By Bastiaan Bruinsma, Annika Fred\'en, Paul R\"ottger, Moa Johansson, Asad Sayeed