Hubert Plisiecki

Hubert Plisiecki
Polish Academy of Sciences | PAN · Institute of Psychology

Master of Science

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12
Publications
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20
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Publications

Publications (12)
Article
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The increasing volume of large, multi-thematic text corpora in social sciences presents a challenge in selecting relevant documents for qualitative and mixed-methods research. Traditional sample selection methods require extensive manual coding or prior dataset knowledge, while unsupervised methods can yield inconsistent results with theory-driven...
Preprint
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This paper introduces the Semantic Propagation Graph Neural Network (SProp GNN), a machine learning sentiment analysis (SA) architecture that relies exclusively on syntactic structures and word-level emotional cues to predict emotions in text. By semantically blinding the model to information about specific words, it is robust to biases such as pol...
Article
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The 2023 electoral victory of Poland's liberal opposition halted democratic backsliding and exemplified democratic resilience. This study provides a novel empirical analysis of discursive strategies used by the main opposition party, Civic Platform/Civic Coalition, in parliamentary speeches on democracy from 2001 to 2020. Using a mixed-method appro...
Article
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This exploratory study examined the potential of word embeddings, an automated numerical representation of written text, as a novel method for emotion decomposition analysis. Drawing from a substantial dataset scraped from a Social Media site, we constructed emotion vectors to extract the dimensions of emotions, as annotated by the readers of the t...
Preprint
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This study investigates the impact of the Ukraine war on Polish public opinion, focusing on four main areas: public attention to the war, war anxiety, susceptibility to disinformation, and anti-refugee attitudes. Utilising a cross-sectional survey of over 10,000 respondents, the research analyses how these factors have evolved during the conflict t...
Preprint
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This paper investigates the presence of political bias in emotion inference models used for sentiment analysis (SA) in social science research. Machine learning models often reflect biases in their training data, impacting the validity of their outcomes. While previous research has highlighted gender and race biases, our study focuses on political...
Preprint
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This study explores the use of large language models (LLMs) to predict emotion intensity in Polish political texts, a resource-poor language context. The research compares the performance of several LLMs against a supervised model trained on an annotated corpus of 10,000 social media texts, evaluated for the intensity of emotions by expert judges....
Article
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Rozróżnienie na „swoich” i „obcych” jest dla władzy narzędziem kształtowania tożsamości narodowej poprzez określenie granic przynależności i wykluczenia. Celem badania była analiza definiowania wyrażenia prawdziwi Polacy w przemówieniach w Sejmie. Analiza została przeprowadzona na stworzonym korpusie przemówień sejmowych z lat 1989-2023, składający...
Article
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Data on the emotionality of words is important for the selection of experimental stimuli and sentiment analysis on large bodies of text. While norms for valence and arousal have been thoroughly collected in English, most languages do not have access to such large datasets. Moreover, theoretical developments lead to new dimensions being proposed, th...
Article
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This paper quantifies changes in employment and the demand for skills in the European Union following the implementation of Fit for 55 policies. Between 2019 and 2030, the economy is projected to grow by 1.3% in the Fit for 55 scenario (3% in a Baseline scenario without the Fit for 55 policies). Employment growth is projected to be lower in the Fit...
Article
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Since 2015, the governing party, Law and Justice (PiS), has gradually eroded democratic institutions in Poland. To find out whether this process has been reflected in the political discourse solely as a collapse of liberal democracy or whether we are observing a narrative redefinition of the meaning of democracy, we conducted a systematic qualitati...
Preprint
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Aim: To review the contemporary methods of comparison and refinement of the bias detection techniques in psychology. Method: An extensive search of Scopus and Web of Science databases has taken place. The literature generated 255 articles of which 16 have been retained. This included one additional article accessed by the ancestry method as well...

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