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arXiv 2610.00402cs.CL

不和谐的芭蕾舞演员与狡猾的胡萝卜:意大利脑腐内容的比较多模态分析

Dissonant ballerinas and crafty carrots: a comparative multi-modal analysis of Italian brain rot

Anca Dinu, Andra-Maria Florescu, Marius Micluta-Campeanu, Stefana-Arina Tabusca, Claudiu Creanga, Andreiana Mihail

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中文总结 AI 辅助

本文通过构建CRIB数据集,比较分析意大利与罗马尼亚脑腐梗的多模态特征,发现流行度与文本声学无关,而罗马尼亚视频的快速剪辑和节奏是关键,且两语言在文本与声学上存在显著差异。

中文摘要 AI 辅助

本文对意大利语和罗马尼亚语的“脑腐”梗图进行了比较多模态分析,探究了其吸引力的促成因素以及两种版本之间的语言和文化差异。为进行此项分析,我们引入了一个名为CRIB(罗马尼亚与意大利脑腐语料库)的多模态脑腐数据集,这是一个手工整理的包含240个TikTok视频的语料库,按语言(意大利语、罗马尼亚语)和流行度分层,并在此基础上考察了文本、声学和视觉特征。我们的研究结果表明,流行度与文本元素(如情感、荒诞性或押韵)或声学元素(如声音特征或声音情感)并无显著相关性。相反,在罗马尼亚语中,视频层面的动态特征,特别是更快的剪辑速度和更快的整体节奏,是视频成功的强预测因子。跨语言分析揭示了显著差异。意大利语脑腐内容在文本上更为负面,具有更高的困惑度,且使用更多押韵,而其声音则以更高的旋律范围和响度为特征。罗马尼亚语的音频在频谱上更明亮,音高变化更不规则。

英文摘要

This paper presents a comparative multi-modal analysis of Italian and Romanian brain rot memes, investigating the factors that contribute to its appeal and the linguistic and cultural distinctions between the two versions. To conduct this analysis, we introduce a multi-modal brain rot dataset named CRIB (Collection of Romanian and Italian Brain rot), a manually curated collection of 240 TikTok videos stratified by language (Italian, Romanian) and popularity, on which we examine textual, acoustic, and visual features. Our findings indicate that popularity is not significantly correlated with textual elements like sentiment, absurdity, or rhyme, or acoustic elements such as vocal features or sentiment of the sound. Instead, in Romanian language, video-level dynamics, specifically faster cutting speeds and a more rapid overall pace, are strong predictors of a video's success. The cross-linguistic analysis reveals significant differences. Italian brain rot is textually more negative, exhibits higher perplexity, and uses more rhyme, while its sound is characterized by higher melodic range and loudness. Romanian audio is spectrally brighter with more erratic pitch variations.

发表机构

  • University of Bucharest(布加勒斯特大学)

机构由 AI 辅助整理,请以论文原文为准。

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