Emotional Communication and Participation in Politics

Szabó, Gabriella

doi:10.17356/ieejsp.v6i2.739

Cited by 4 publications

(2 citation statements)

References 49 publications

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“…al, 2015). También existe un amplio consenso científico sobre los efectos del emotivismo en la política, especialmente en el campo de la comunicación y la participación en las redes sociales (Szabó, 2020); es así como se ha estudiado el aumento del componente emotivo en los debates políticos, para producir, procesar y generar respuestas en los discursos políticos (Verbalyte, 2018;Zhang y Clark, 2018). Arias (2006) investiga de manera interrelacionada digitalidad y afectividad como fenómenos imprescindibles para comprender el proceso de cambio que están experimentando las sociedades contemporáneas.…”

Section: Aspectos Teóricos De La Ciudadanía Y La Desigualdad Digitalunclassified

Participación politica digital y la crisis de la pandemia. Redes sociales y la SUNAT, Perú

Mejía Navarrete,

Menendez Condor

2023

Mediac. soc.

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El artículo analiza la participación política en las redes sociales de la Superintendencia Nacional de Aduanas y de Administración Tributaria (SUNAT) desde el 2019-2022. Después de la pandemia por COVID-19 el proceso de digitalización se incrementó en las instituciones públicas de manera decisiva. Proceso de ampliación de la ciudadanía que conlleva al desarrollo de brechas digitales pronunciadas, especialmente entre los usuarios con menos educación, menos ingresos económicos y mayor edad. Además, el examen de los emoticones de la red social Facebook, la más utilizada, permite una aproximación a la gestación de un cuadro emocional polarizado en la ciudadanía, entre los que gustan y aceptan la información de la SUNAT y aquellos a los que les molestan y entristecen los mismos contenidos. La investigación es longitudinal, se llevó a cabo una encuesta pre-test, se efectúo un análisis de la participación política y de los emoticones a partir del Big data de Facebook.

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Section: Aspectos Teóricos De La Ciudadanía Y La Desigualdad Digitalunclassified

Participación politica digital y la crisis de la pandemia. Redes sociales y la SUNAT, Perú

Mejía Navarrete,

Menendez Condor

2023

Mediac. soc.

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“…During parliamentary debates, various topics arise, arguments and counterarguments collide, and through them, a political agenda is formed that then thematizes public debates [33]. Research on the expression of emotions in political communication has been increasingly emphasized in recent years in international and Hungarian social science research [8], [34], [35], [36], [37], [38]. These studies primarily analyze the speeches of politicians in the media and on social media [39], [40], [41].…”

Section: A Textual Analysis Of Political Communicationmentioning

confidence: 99%

HunEmBERT: A Fine-Tuned BERT-Model for Classifying Sentiment and Emotion in Political Communication

Üveges

Ring

2023

IEEE Access

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The growing number of digitally accessible text corpora and the accelerating development of NLP tools and methods (particularly the emergence of powerful large-scale language models) have allowed their widespread use in various classification tasks, including the vast field of sentiment analysis. However, these models must often be fine-tuned to perform this task efficiently. Therefore, we aimed to create a transformer-based fine-tuned model for the emotion and sentiment analysis of Hungarian political texts.The training data for the model were the manually annotated parliamentary speech texts from 2014 to 2018, which have the advantage of being rich in various emotions. The compiled corpus can be freely used for research purposes. In our work, we describe in detail the process of fine-tuning the Hungarian BERT model for sentiment and emotion classification, the performance achieved, and the typical classification errors, mainly due to a lack of recognition of pragmatic and other language use features by the fine-tuned models.INDEX TERMS Fine-tuned BERT-model, huBERT, emotion analysis, sentiment analysis, political communication.

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"Approaches to sentiment analysis of Hungarian political news at the sentence level"

Ring,

Szabó,

Guba

et al. 2024

Lang Resources & Evaluation

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Automated sentiment analysis of textual data is one of the central and most challenging tasks in political communication studies. However, the toolkits available are primarily for English texts and require contextual adaptation to produce valid results—especially concerning morphologically rich languages such as Hungarian. This study introduces (1) a new sentiment and emotion annotation framework that uses inductive approaches to identify emotions in the corpus and aggregate these emotions into positive, negative, and mixed sentiment categories, (2) a manually annotated sentiment data set with 5700 political news sentences, (3) a new Hungarian sentiment dictionary for political text analysis created via word embeddings, whose performance was compared with other available sentiment dictionaries. (4) Because of the limitations of sentiment analysis using dictionaries we have also applied various machine learning algorithms to analyze our dataset, (5) Last but not least to move towards state-of-the-art approaches, we have fine-tuned the Hungarian BERT-base model for sentiment analysis. Meanwhile, we have also tested how different pre-processing steps could affect the performance of machine-learning algorithms in the case of Hungarian texts.

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Emotional Communication and Participation in Politics

Abstract: -

Cited by 4 publications

References 49 publications

Participación politica digital y la crisis de la pandemia. Redes sociales y la SUNAT, Perú

Participación politica digital y la crisis de la pandemia. Redes sociales y la SUNAT, Perú

HunEmBERT: A Fine-Tuned BERT-Model for Classifying Sentiment and Emotion in Political Communication

"Approaches to sentiment analysis of Hungarian political news at the sentence level"

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