ArticleScientific reports2024
Topic modelling and sentiment analysis during COVID-19 revealed emotions changes for public health.
Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Perceived COVID-19 threat and job satisfaction among healthcare workers: the indirect role of job stress and the moderating role of coping strategies.BMC psychology · 2026Article
- Trust dynamics in social media crises: a topic-aspect-sentiment analysis of public evaluations during a school food safety incident.Frontiers in psychology · 2026Article
- Article
- Commentary: Psychological well-being, mental distress, metabolic syndrome, and associated factors among people living in a refugee camp in Greece: a cross-sectional study.Frontiers in public health · 2026Article
- Self-Perception of Children and Adolescents' Refugees with Trauma: A Qualitative Meta-Synthesis of the Literature.Behavioral sciences (Basel, Switzerland) · 2025Review
- Identification of Mandarin Tones in Loud Speech for Native Speakers and Second Language Learners.Behavioral sciences (Basel, Switzerland) · 2025Article
- Strengthening resilience in the aftermath of adversity: evaluation of the group-based intervention Mind-Spring, a naturalistic mixed-methods study among refugee groups in the Netherlands.Frontiers in psychology · 2025Article
- PTSD assessment in Ukrainian refugees using the PCL-5: linguistic and cultural challenges.Frontiers in psychology · 2025Article
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1 author.
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Abstract
Between 2020 and 2022, lockdown and restraining measures as a result of the COVID-19 pandemic led to changes in daily routines and also in language usage. At certain points during the pandemic, populations in some countries were unwilling or unlikely to respond to government messages, either because of the tone and analytic discourse used by leaders, or because they did not understand the messages. Linguistic markers and meanings were therefore linked to low levels of engagement, negative emotions and high levels of analytical thinking, especially in relation to the discourses of influential international leaders. We subjected sixteen speeches by eight country leaders to topic modelling and sentiment analysis in order to understand how the psychological functions of language were affected during two different periods of the COVID-19 pandemic. In this topic analysis we organize 39,073 words collected from sixteen authentic speeches delivered in two different periods of the acute phase of the pandemic. These were encoded in the Linguistic Inquiry Word Count program (LIWC), with the main aim being to identify differences between the periods. We examined the following aspects: (1) the emotional tone, analytical thinking and clout (empathy dimension); (2) the changes in these three dimensions or factors between periods 1 and 2 (February and May 2020). We observed a negative relationship between emotional tone and analytical thinking and a positive relationship between clout and emotional tone. When we considered the changes in pandemic circumstances, the psycholinguistic profiles of eight country leaders demonstrated fluctuations in language and emotions. Further reviews and research should focus on the current language and deficit wording of this population (leaders). We also note that psychologists and schoolteachers can play an important role in supporting language programmes with positive wording and by emphasising the collateral effects of face-to-face classes when teaching children to read and write.
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