Involvement drives complexity of language in online debates
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arXiv
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| Autores principales: | , , , , , , , , , |
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| Formato: | Preprint |
| Publicado: |
2025
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| _version_ | 1866915361592442880 |
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| author | Amadori, Eleonora Cirulli, Daniele Di Martino, Edoardo Nudo, Jacopo Sahakyan, Maria Sangiorgio, Emanuele Santoro, Arnaldo Zollo, Simon Galeazzi, Alessandro Di Marco, Niccolò |
| author_facet | Amadori, Eleonora Cirulli, Daniele Di Martino, Edoardo Nudo, Jacopo Sahakyan, Maria Sangiorgio, Emanuele Santoro, Arnaldo Zollo, Simon Galeazzi, Alessandro Di Marco, Niccolò |
| contents | Language is a fundamental aspect of human societies, continuously evolving in response to various stimuli, including societal changes and intercultural interactions. Technological advancements have profoundly transformed communication, with social media emerging as a pivotal force that merges entertainment-driven content with complex social dynamics. As these platforms reshape public discourse, analyzing the linguistic features of user-generated content is essential to understanding their broader societal impact. In this paper, we examine the linguistic complexity of content produced by influential users on Twitter across three globally significant and contested topics: COVID-19, COP26, and the Russia-Ukraine war. By combining multiple measures of textual complexity, we assess how language use varies along four key dimensions: account type, political leaning, content reliability, and sentiment. Our analysis reveals significant differences across all four axes, including variations in language complexity between individuals and organizations, between profiles with sided versus moderate political views, and between those associated with higher versus lower reliability scores. Additionally, profiles producing more negative and offensive content tend to use more complex language, with users sharing similar political stances and reliability levels converging toward a common jargon. Our findings offer new insights into the sociolinguistic dynamics of digital platforms and contribute to a deeper understanding of how language reflects ideological and social structures in online spaces. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2506_22098 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Involvement drives complexity of language in online debates Amadori, Eleonora Cirulli, Daniele Di Martino, Edoardo Nudo, Jacopo Sahakyan, Maria Sangiorgio, Emanuele Santoro, Arnaldo Zollo, Simon Galeazzi, Alessandro Di Marco, Niccolò Computation and Language Computers and Society Physics and Society Language is a fundamental aspect of human societies, continuously evolving in response to various stimuli, including societal changes and intercultural interactions. Technological advancements have profoundly transformed communication, with social media emerging as a pivotal force that merges entertainment-driven content with complex social dynamics. As these platforms reshape public discourse, analyzing the linguistic features of user-generated content is essential to understanding their broader societal impact. In this paper, we examine the linguistic complexity of content produced by influential users on Twitter across three globally significant and contested topics: COVID-19, COP26, and the Russia-Ukraine war. By combining multiple measures of textual complexity, we assess how language use varies along four key dimensions: account type, political leaning, content reliability, and sentiment. Our analysis reveals significant differences across all four axes, including variations in language complexity between individuals and organizations, between profiles with sided versus moderate political views, and between those associated with higher versus lower reliability scores. Additionally, profiles producing more negative and offensive content tend to use more complex language, with users sharing similar political stances and reliability levels converging toward a common jargon. Our findings offer new insights into the sociolinguistic dynamics of digital platforms and contribute to a deeper understanding of how language reflects ideological and social structures in online spaces. |
| title | Involvement drives complexity of language in online debates |
| topic | Computation and Language Computers and Society Physics and Society |
| url | https://arxiv.org/abs/2506.22098 |