Elucidating the emotional persona in the Romanian university students’ academic discourse: a corpus-based exploration

IntroductionDespite growing global interest in the emotional dimensions of academic writing, Romanian academic discourse remains underexplored, particularly in multilingual contexts. This study addresses this gap by analyzing a bilingual corpus of texts written in Romanian (L1) and English (L2) acro...

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Main Authors: Diana Paula Dudău, Madalina Chitez, Florin Alin Sava
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-01-01
Series:Frontiers in Psychology
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Online Access:https://www.frontiersin.org/articles/10.3389/fpsyg.2024.1514795/full
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author Diana Paula Dudău
Diana Paula Dudău
Madalina Chitez
Florin Alin Sava
author_facet Diana Paula Dudău
Diana Paula Dudău
Madalina Chitez
Florin Alin Sava
author_sort Diana Paula Dudău
collection DOAJ
description IntroductionDespite growing global interest in the emotional dimensions of academic writing, Romanian academic discourse remains underexplored, particularly in multilingual contexts. This study addresses this gap by analyzing a bilingual corpus of texts written in Romanian (L1) and English (L2) across various disciplines and genres. It aims to uncover emotional dimensions conveyed through linguistic markers, exploring how language, culture, and academic context shape students’ writing styles. Romania’s historical and social emphasis on formality, hierarchy, and indirectness in communication serves as a backdrop for examining these dynamics.MethodA corpus-based approach was adopted, utilizing the Linguistic Inquiry and Word Count 2015 (LIWC2015) tool to analyze linguistic and emotional markers. The bilingual ROGER corpus, containing texts from nine Romanian universities spanning multiple disciplines and genres, served as the dataset. Advanced data analysis techniques included supervised machine learning for language classification, network analysis to explore interactions among linguistic features, and cluster analysis to detect discipline- and genre-specific linguistic patterns.ResultsThe findings reveal distinct emotional patterns between Romanian and English academic writing. Romanian texts exhibit a higher degree of formality and indirectness, while English texts reflect greater assertiveness and personal engagement. Additionally, the Romanian corpus demonstrates less linguistic cohesion and a broader range of writing styles. Genre- and discipline-specific trends also emerge, with English coursework and analytical writing, predominantly from social sciences, displaying more personal and emotional expression than research-focused texts. In contrast, the Romanian corpus, characterized by a third cluster, presents less clear-cut patterns: humanities texts span both emotionally expressive and neutral tones, while research and academic papers frequently exhibit an achievement-oriented or entrepreneurial style, though a significant subset also reflects a highly disengaged profile.DiscussionBy integrating machine learning, network analysis, and automatic language analysis, this study offers a novel perspective on how language, genre, and discipline-specific conventions shape emotional expression in academic writing. The results suggest that the Romanian students’ emotional personas in academic writing are influenced by all these factors, potentially shaped by the cultural norms of the second language, providing insights for teaching academic writing in multilingual settings.
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spelling doaj-art-a727a6f968a94ee7bffc2d016cacede32025-01-20T07:20:24ZengFrontiers Media S.A.Frontiers in Psychology1664-10782025-01-011510.3389/fpsyg.2024.15147951514795Elucidating the emotional persona in the Romanian university students’ academic discourse: a corpus-based explorationDiana Paula Dudău0Diana Paula Dudău1Madalina Chitez2Florin Alin Sava3Department of Psychology and Psychotherapy, Faculty of Psychology, Titu Maiorescu University, Bucharest, RomaniaEducation Research Unit, National Center for Policy and Evaluation in Education, Bucharest, RomaniaDepartment of Modern Languages and Literatures, Faculty of Letters, West University of Timișoara, Timișoara, RomaniaDepartment of Psychology, Faculty of Sociology and Psychology, West University of Timișoara, Timișoara, RomaniaIntroductionDespite growing global interest in the emotional dimensions of academic writing, Romanian academic discourse remains underexplored, particularly in multilingual contexts. This study addresses this gap by analyzing a bilingual corpus of texts written in Romanian (L1) and English (L2) across various disciplines and genres. It aims to uncover emotional dimensions conveyed through linguistic markers, exploring how language, culture, and academic context shape students’ writing styles. Romania’s historical and social emphasis on formality, hierarchy, and indirectness in communication serves as a backdrop for examining these dynamics.MethodA corpus-based approach was adopted, utilizing the Linguistic Inquiry and Word Count 2015 (LIWC2015) tool to analyze linguistic and emotional markers. The bilingual ROGER corpus, containing texts from nine Romanian universities spanning multiple disciplines and genres, served as the dataset. Advanced data analysis techniques included supervised machine learning for language classification, network analysis to explore interactions among linguistic features, and cluster analysis to detect discipline- and genre-specific linguistic patterns.ResultsThe findings reveal distinct emotional patterns between Romanian and English academic writing. Romanian texts exhibit a higher degree of formality and indirectness, while English texts reflect greater assertiveness and personal engagement. Additionally, the Romanian corpus demonstrates less linguistic cohesion and a broader range of writing styles. Genre- and discipline-specific trends also emerge, with English coursework and analytical writing, predominantly from social sciences, displaying more personal and emotional expression than research-focused texts. In contrast, the Romanian corpus, characterized by a third cluster, presents less clear-cut patterns: humanities texts span both emotionally expressive and neutral tones, while research and academic papers frequently exhibit an achievement-oriented or entrepreneurial style, though a significant subset also reflects a highly disengaged profile.DiscussionBy integrating machine learning, network analysis, and automatic language analysis, this study offers a novel perspective on how language, genre, and discipline-specific conventions shape emotional expression in academic writing. The results suggest that the Romanian students’ emotional personas in academic writing are influenced by all these factors, potentially shaped by the cultural norms of the second language, providing insights for teaching academic writing in multilingual settings.https://www.frontiersin.org/articles/10.3389/fpsyg.2024.1514795/fullacademic writingemotionsautomatic language analysisROGER corpusLIWCcultural influences
spellingShingle Diana Paula Dudău
Diana Paula Dudău
Madalina Chitez
Florin Alin Sava
Elucidating the emotional persona in the Romanian university students’ academic discourse: a corpus-based exploration
Frontiers in Psychology
academic writing
emotions
automatic language analysis
ROGER corpus
LIWC
cultural influences
title Elucidating the emotional persona in the Romanian university students’ academic discourse: a corpus-based exploration
title_full Elucidating the emotional persona in the Romanian university students’ academic discourse: a corpus-based exploration
title_fullStr Elucidating the emotional persona in the Romanian university students’ academic discourse: a corpus-based exploration
title_full_unstemmed Elucidating the emotional persona in the Romanian university students’ academic discourse: a corpus-based exploration
title_short Elucidating the emotional persona in the Romanian university students’ academic discourse: a corpus-based exploration
title_sort elucidating the emotional persona in the romanian university students academic discourse a corpus based exploration
topic academic writing
emotions
automatic language analysis
ROGER corpus
LIWC
cultural influences
url https://www.frontiersin.org/articles/10.3389/fpsyg.2024.1514795/full
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