Emotional Discourse Research Articles

Comparison of micro- and macro- structural narrative features between Turkish-Kurdish bilinguals and Turkish monolinguals

Abstract Bilingualism may lead to differences in narrative micro- and macrostructural features. Creating a normative data set on the narrative characteristics of healthy Turkish-Kurdish bilinguals may allow for a more effective assessment of language disorders that may occur in bilinguals with acquired brain injury. This study aims to determine how narrative micro- and macrostructural features differ in Turkish-Kurdish bilinguals in single picture and story narratives. A total of 23 bilingual (Turkish-Kurdish) and 23 monolingual (Turkish) healthy individuals were included in the study. Narrative samples were obtained using single pictures and a story. Micro- and macrostructural features were compared between bilinguals and monolinguals matched for age, education, and gender. Mean length utterance-morpheme and clausal density variables, considered as indicators of grammatical complexity, were higher in monolinguals in both single picture and story narratives. Morphemic errors were higher for bilinguals. Effort behaviors, which can interrupt verbal efficiency, were higher in bilinguals in single picture narratives. While there was no difference between the groups in verbal fluency (phonemic and categorical), the lexical diversty in storytelling was higher in monolinguals. In terms of macrostructural features, cognitive inferences in the story context and emotional discourse in the single picture context were higher in monolinguals, while enrichment expressions in the single picture narrative were higher in bilinguals. In both groups, macrostructural features such as cognitive inferences and expressions of uncertainty in discourse were negatively correlated with grammatical complexity variables. Turkish-Kurdish bilinguals’ single picture and story narratives in Turkish may show semantic, morphosyntactic and pragmatic differences compared to Turkish-speaking monolinguals.

“Maintain Your Hope and Know That You Are Loved.” Mr. Anthony Albanese’s Discursive Construction of Collective Emotional Resilience

This paper employs Stephanie Paterson’s empathic policy analysis framework to explore the discursive construction of emotional resilience. The research conducted for the paper focuses on Australian Prime Minister Anthony Albanese’s notion of emotional resilience during a press conference he delivered on October 15, 2023, in the context of the Voice referendum. Mr. Albanese discursively frames the concept of emotional resilience as emotional stability that builds the community’s resistance to crisis situations, enables progress, and avoids division. The study identifies two emotional discourses influencing this portrayal of emotional resilience: (1) a discourse of emotional stability among opponents of the Voice referendum and (2) a discourse of emotional stability among supporters of the referendum. The article analyzes the assumptions underlying this representation and the silences—that which has been left unspoken or implied—associated with it.

Literally or prosodically? Recognising emotional discourse in alexithymia

ABSTRACT Alexithymia is characterised by difficulties in identifying, recognising, and describing emotions. We studied alexithymia in the context of speech comprehension, specifically investigating the incongruent condition between prosody and the literal meaning of words in emotion-based discourse. In two experiments, participants were categorised as having high or low alexithymia scores based on the TAS-20 scale and listened to three-sentence narratives where the emotional prosody of a key phrase or a keyword was congruent or incongruent with its literal meaning. The incongruent condition resulted in slower reaction times and lower accuracy in recognition of emotions. This incongruence effect was also evident for individuals with high alexithymia, except for anger. They recognised anger as accurately in both congruent and incongruent conditions. Contrary to our hypothesis, however, individuals with high alexithymia did not show an overall difference in emotion recognition compared to the low alexithymia group. These findings highlight the nuanced relationship between emotional prosody and literal meaning, offering insights into how individuals with varying levels of alexithymia process emotional discourse. Understanding these dynamics has implications for both cognitive research and clinical practice, providing valuable perspectives on speech comprehension, especially in situations involving incongruence between prosody and word meaning.

Crisis in EU-US relations under Trump: an emotional contemptuous double game of misrecognition

ABSTRACT With the election of Donald Trump as president of the United States in 2016, the transatlantic relations entered a renewed period of crisis. The former US administration challenged key international norms at the core of the EU’s identity – thereby testing the EU’s ability to rethink its position in the world. Against this background, studies have attempted to analyse the EU’s response vis-à-vis the US mainly from a realist and socio-psychological perspectives. Yet little attention has been given to the crucial emotional component underlying the EU’s response – related to EU’s recognition needs. Therefore, this article proposes to analyse the transatlantic crisis under the Trump administration through the lens of recognition theories and emotions in IR. Based on the emotion discourse analysis of public statements, it shows that dynamics of misrecognition and re-affirmation of identity have been at play in this recent crisis fuelled by the powerful emotion of contempt.

Ambivalent effects of anger in Chinese feminists’ refusal to patriarchal marriage and family

ABSTRACT Studies have shown that emotions play an important role in the emergence, unfolding, and demise of social movements. Many studies argue that anger is one of the most propelling emotions promoting movement participation, while others demonstrate the ambivalence of anger within social movements. Previous studies have suggested that the context in which emotions play a role in social movements remains underexplored. This study focuses on the self-organized feminist online space, where the political and private dimensions overlap, and contextualizes anger among online feminists who question the inferior position of women in patriarchal marriage, the family, and women’s low social status in contemporary China. Based on previous literature on emotions in social movements and methods of emotion discourse analysis, this study aims to deliberate (1) the subversive feature when anger is directed to the structure and opponents and (2) anger misaligned with other emotions in that its subversive power is suppressed. The findings revealed that anger represents subversive power when feminists oppose the source of injustice and confront their opponents’ denigration without fear. However, frustration, grievance, and pain come to the forefront when anger is suppressed in affective relationships. Additionally, when feminists successfully cope with emotional conflicts and emphasize the empowering side of their anti-marriage stance, their feminist identities are reinforced.

Terrorism Discourse and Emotions: Australia

Terrorism has been often considered to be a subjective label rather than a distinct form of violence. Discourse has played an important role in creating the threat of terrorism, as well as in the legitimisation of counterterrorism level. The importance of studying discourse can thus no longer be denied. This article analysed the character of official discourse on terrorism delivered by Australian prime ministers between 9/11 and the end of 2019, since Australia is one of the countries involved in the War on Terror. The author used the NVivo software to analyse speeches delivered by John Howard, Kevin Rudd, Julia Gillard, Tony Abbott, Scott Morrison, and Malcolm Turnbull. She applies Norman Fairclough’s three-level Critical Discourse Analysis to study the character of the speeches, positive and negative emotions which were invoked by the speeches and the connections that were drawn to other discourses. She also analyses the context in which the speeches were delivered as well as the adopted counterterrorism measures that were legitimized in the speeches. The results of the analysis demonstrated that all Australian prime ministers used the terrorism label to some extent, however each of them delivered speeches on terrorism that had a different character. All of the analysed prime ministers, with the exception of Kevin Rudd, also presented emotional discourse on terrorism. The article demonstrates how is the terrorism label portrayed differently by each speaker, and that not all discourse on terrorism has to necessarily be emotional.

Emotions of fear and anger as a discursive tool of radical right leaders in Central Eastern Europe

The paper examines how the radical right parties´ leaders work with emotions while addressing their voters and sympathizers on Twitter/X social media. We focus on the “supply side” on the level of leaders´ discourses. The goal is to demonstrate how they work with emotions, especially those of fear and anger. The context represents Russian aggression against Ukraine, because, typically, circumstances of a crisis bolster the ability of radical right leaders to use emotional rhetoric devices. Czechia, Hungary, and Slovakia represent three particularly relevant and distinctive cases among the CEE countries according to the relevance, relative strength, and stability of radical right parties. We examined social media, particularly Twitter, since it is one of the most prominent tools of political communication today, especially for populists. We collected the data of all Tweets between February 24, 2022 and February 24, 2023. We combined a systematic quantitative content analysis with a more in-depth qualitative analysis of the key characteristics of the discursive construction of the two most salient emotions: anger and fear. We did not confirm the assumption that they would utilise the war in Ukraine since most tweets addressed issues related to domestic politics. The research, however, confirmed that despite differences, anger and fear play a substantial role in the emotional repertoire and represent necessary rhetorical devices. Our findings concur with the literature on radical right populism and its employment of emotional discourse. We found that even a crisis in international politics has been reframed primarily as a domestic issue and integrated into classical discursive practices.

AI Driven Chatbot Counsellor

Speech and written information are fundamental to human communication. As a result, the majority of spoken and textual communication takes place on digital platforms like Twitter, Facebook, and WhatsApp, among others. Our model employs dual recurrent neural networks (RNNs) to encode the information from text and audio sequences, as spoken language and sound constitute emotional discourse. The emotion class is then predicted by combining the data from the two sources. Due to the complexity of speech emotion recognition, models that use audio properties to generate powerful classifiers have become increasingly important. Completing sentences or crafting sentences from a given starting word is a major aspect of natural language processing. In a way, it shows if a machine is capable of human creativity and mental processes. In order to assist handle diverse phrase generation challenges, we use natural language processing to train the machine for certain tasks. This is especially useful for application situations such as machine translation, automatic question answering, and summary creation. At the moment, OpenAI GPT and BERT are the most widely used language models for text generation and prediction. The approaches based on handwritten instructions, patterns, or statistical methods have been quickly superseded by the latest developments in deep learning and artificial intelligence, such as end-to-end trainable neural networks. This research presents a novel approach to deep neural learning-based chatbot creation. This approach builds a multilayer neural network to analyse and learn from the data. Furthermore, we employ supplementary limitations on the generation model to generate the correct response, which is capable of discerning the context of the discussion, the user's mood, and the anticipated response. This enables us to provide customised counselling replies depending on customer feedback. Through this study, two new corpora will be used to train the OpenAI GPT model, which will then be used to generate articles and long sentences. Finally, a comparison study will be carried out. Concurrently, we will use the BERT model to complete the task of context-based intermediate word prediction. Keywords : Artificial Intelligence, Data Science, NLP, Deep Learning, Machine Learning, GPT, Generative AI, Speech Synthesis

Emotions and norms in the Syrian refugee crisis: the comparative responses of the EU and Turkey

ABSTRACT This paper delves into the evolving research area of emotions and norms within international relations, focusing on the EU-Turkey dynamics amid the Syrian refugee crisis. Utilizing Emotion Discourse Analysis (EDA), it examines discourses from key EU and Turkish leaders between 2011 and 2023 to understand how their emotional responses to Syrian refugees influence the universal norm of human rights. Since the specific interconnection between leadership emotions and human rights norms remains largely unexplored, this study seeks to fill this gap by examining how emotions expressed by leadership in Turkey and the EU variously challenge, protect, or construct human rights norms related to Syrian refugees. Preliminary findings reveal contrasting emotional expressions: while President Erdoğan’s discourse often aligns with the protection and construction of human rights norms, EU leaders’ emotions reflect a tension between human rights commitments and border security priorities.

Framed or Freedom? Emotional Discourse of Individuals to the Overturned of Roe V. Wade

The Roe V. Wade case has long been a noteworthy issue in the United States. According to research Basel 2022, approximately 504, 803 tweets have been filtered based on terms related to abortion. By collecting information and posts on Twitter, this study hopes to demonstrate how attitudes have changed in response to the adoption of abortion regulations. Its interesting to learn how the attitudes of various local residents toward this new law relate to one another. Sentiment analysis is applied to 200 postings with typical features in order to accomplish this goal. In order to complete and build a more distinct future trend, data are compared and evaluated with historical abstracts. The findings imply that people have a moderate tendency to take an optimistic perspective. Having stated that, this conclusion offers a projection of potential human behavior and the underlying rationale determining various perceptions. This study also seeks to understand the social repercussions and intimate relationship between abortion and conception. Which introduces feminism, gender equality, teen problems, and self-induced abortion by addressing potential results and possible conflicts. To sum up, this study uses emotional analysis and additional academic approaches to investigate the relationship between various demographic, and socioeconomic groups and their attitudes beforehand and following Roe v. Wade. Understanding how people feel is of utmost importance as abortion continues to be discussed incessantly online.

GENDER FEATURES OF THE KAZAKH DIALOGUE (based on prose works)

The article will discuss the features of dialogical communication between men and women, characteristic of the category of gender.In the article, the topics discussed by men and women were determined based on the dialogue discourse collected from the fiction.There were analyzed features related to emotional discourse of men and women through the dialogue and the reasons of differences were defined. Also, the features related to the invective vocabulary used by men and women were determined. The purpose of the article is to determine the features of the emotional discourse of men and women, the scope of use of invective vocabulary in their language, the topics discussed, the type of Kazakh dialogue as a result of discussion of male and female characters with reference to linguistic facts taken from fiction.The scientific and practical significance of the article is the issues discussed in the article and the results obtained can be used as additional scientific material in the field of lexicology, textual criticism and discourse in Kazakh linguistics.The gender factor in the language of a literary text is also valuable in determining the stylistic, psychological, thematic characteristics of a woman and a male author, as well as the characteristics of the author’s speech and the characters’ word usage. The language of the literary text takes into account gender differentiation, showing facts familiar to us. From this point of view, defining the features of the Kazakh dialogue on the basis of dialogic relations between a man and a woman, which occupy a special place in our national discourse, proves the value of the article.

A Passion for Virtue? Appeals to Morality and Emotions in European Parliament Climate Change Debates

Although it is well acknowledged that moral foundations have an emotional component, little is known about the relation between moral foundations and emotions in current political and public debates. The analysis of this relation is crucial to better understand causal pathways from affect and emotion to climate change action and behavior. Employing Emotion Discourse Analysis, this study analyzes appeals to moral foundations in European Parliament (EP) plenary debates on the topic of climate change, and their relation to emotions between 1994 and 2022. We show that the relation between moral foundations and emotions depends on the narratives put forward by policymakers from different political groups. After linking narratives, moral foundations and emotions, we hypothesize how the identified combinations affect political action. We show that narratives promoting action-oriented and effective appeals to emotions, which are key in advancing environmental protection, are not the most prominent in EP debates.

Gendered organisational and professional discourses of emotions in ‘macho’ social work: ethnographic insights

ABSTRACT Drawing on empirical research this paper explores how gendered discourses position emotions and emotion practices in social work environments characterised as ‘macho’. It highlights the intersection of traditional emotion-reason dualism and gendered constructions of emotions with dominant hegemonic organisational and professional norms. This ethnographic study in an English Children’s Service explored how emotions were understood and used in practice. It identified essentialist negative beliefs and a paradoxical positioning of practitioners’ emotions alongside their constructive use. Problematic perceptions of professionalism fed into notions of conformity, heroism and transgression, devaluing engagement in agile emotion practices which underpin relationship-based systemic practice. Institutionalised dynamics created scope for differential impacts given practitioners’ status and social locations such as, gender, race, age, sexuality or status. These findings contribute new knowledge, relevant to humane social work, professionalism and workforce retention.

A Nominalist Reading of the Ending of Malory’s Morte Darthur: Ockham’s Notion of the Metaphysical Freedom of the Will and Earthly Emotions

: Unlike the romances of the thirteenth and fourteenth centuries, which portray heroes who display exemplary characters, Malory’s Morte Darthur is marked by its depiction of heroes who surrender to their extreme love, grief or anger. Yet, this shift towards the portrayal of faulty characters who experience imperfect emotions is not abrupt, but rather a result of the gradual development of the medieval poetic discourse of emotion over the centuries. This paper proposes that the bleak sentiment which characterises the ending of Morte Darthur can be better understood if read within the cultural context that contributed to the shaping of the period’s discourse of emotions. The paper suggests that Malory’s choice to conclude his book in this way cannot be viewed in isolation from the text’s immediate political context represented by the turbulence that accompanied the Wars of the Roses, and which resulted in the spread of a utilitarian, humanist sentiment that revolves around the individual’s basic human needs. The paper, accordingly, suggests a correspondence between the nominalist discourse of emotions and the text’s decadent discourse of emotions.

Emotion generation method in online physical education teaching based on data mining of teacher-student interactions.

Different from conventional educational paradigms, online education lacks the direct interplay between instructors and learners, particularly in the sphere of virtual physical education. Regrettably, extant research seldom directs its focus toward the intricacies of emotional arousal within the teacher-student course dynamic. The formulation of an emotion generation model exhibits constraints necessitating refinement tailored to distinct educational cohorts, disciplines, and instructional contexts. This study proffers an emotion generation model rooted in data mining of teacher-student course interactions to refine emotional discourse and enhance learning outcomes in the realm of online physical education. This model includes techniques for data preprocessing and augmentation, a multimodal dialogue text emotion recognition model, and a topic-expanding emotional dialogue generation model based on joint decoding. The encoder assimilates the input sentence into a fixed-length vector, culminating in the final state, wherein the vector produced by the context recurrent neural network is conjoined with the preceding word's vector and employed as the decoder's input. Leveraging the long-short-term memory neural network facilitates the modeling of emotional fluctuations across multiple rounds of dialogue, thus fulfilling the mandate of emotion prediction. The evaluation of the model against the DailyDialog dataset demonstrates its superiority over the conventional end-to-end model in terms of loss and confusion values. Achieving an accuracy rate of 84.4%, the model substantiates that embedding emotional cues within dialogues augments response generation. The proposed emotion generation model augments emotional discourse and learning efficacy within online physical education, offering fresh avenues for refining and advancing emotion generation models.

The Past Evolution, Present Challenge and Future Prospect of the Post-Truth Research

In the past few years, the phenomenon of post truth has become popular in Western countries. It refers to the fact that public emotions and personal beliefs have a greater impact on facts than the actual situation itself. The history of the post truth phenomenon can be traced back to the 1970s, but in recent years, due to the widespread use of digital and social media, the spread of fake news has become even more rampant. The phenomenon of post truth has become a new political culture, regarded as a manifestation of populist movements that resist elites. Currently, the post truth phenomenon faces some challenges. With the frequent occurrence of major public emergencies, new impetus has been provided for the popularization and complexity of post truth. After the COVID-19, people began to connect their personal situation with the health of the whole society, which further aroused the public's attention to the truth. However, studying post truth faces many challenges, such as how to explain the phenomenon of post truth, the motivation of fake news, and the persuasive strategies of news. In future prospects, the focus of truth after research may shift towards the role of emotions. Emotions are increasingly valued in social sciences. Understanding the relationship between emotions and facts will help to better understand post truth phenomena. Emotion is not only the opposite of truth or rationality, but also an important component of cognitive psychology and even a resource for social mobilization and integration. Further research on the role of emotional discourse will help reveal the social and cultural aspects of post truth phenomena. In summary, the evolution of post truth phenomena, current challenges, and future prospects are all important aspects of studying post truth. A thorough study of the history, motivation, and impact of post truth phenomena will help us better understand and respond to the challenges of post truth phenomena, and provide new directions for future research.

EMOCIONALNI DISKURS U „UČENOM MAČKU“ BRANKA V. RADIČEVIĆA

Animals as characters have been present in literature from its very beginning, from ancient fables, stories about animals, through the biblical motif in the story of Adam and Eve to contemporary literary works, especially in works intended for children. Starting from the approach of animal studies as a discipline that deals with the analysis of the depiction of animals in literature, focusing on children’s literature, the anthropomorphic aspect of the analysis was singled out. Branko V. Radičević (1925–2001) sculpted figures of animals in his works intended for children. The aim of the paper is to analyze the emotional discourse in Branko V. Radičević’s animalistic prose for children. The focus will be on the work The Learned Cat (Učeni mačak), the tasks are to observe the characteristics and way of building the characters of animals, especially the cat, then the dog, and to analyze the mutual communication of literary characters. With a brilliant storytelling style, linguistic expression, with the full support of imagination, Radičević created the novel The Learned Cat. It is a truly beautiful and imaginatively spun story about a cat who, after becoming a high school graduate, experiences unusual adventures in search of a vocation. He represented animals as heroes in almost all forms of prose for children – from stories, poetry, all the way to novels. While in his poetry animals appear less, mostly as an integral part of nature and serve to better describe it, in his prose works, especially in the analyzed work The Learned Cat, animals are the main characters who go through various events or whose function is to help the main character (in human form), but also pose a threat to the main character. This novel also shows the importance of emotions in people’s lives in general, how positive ones such as neighbourly love, empathy, compassion bring them pleasure, but how it is necessary to face the negative ones, such as fear, and overcome them.

“It's Just a Feeling!”: Emotions and Intersectionality in Language Teacher Narratives

AbstractLanguage teacher identities and emotions are deeply sociocultural phenomena. Although intersectionality has asserted itself as a powerful framework in other fields, it is just beginning to emerge in language teacher education. This article argues that intersectionality provides a powerful conceptual lens for analyzing the complex and varied connections between language teacher identity and emotions. It also claims that emotions originate in the spaces between different social factors. Specifically, the article investigates the following questions: How do English‐as a‐second‐language teachers construct their emotions in narratives and what discourses of emotion do they evoke? How are emotions generated within the intersectional spaces of facets of their social identities? To address these, the article focuses on the micro‐level of analysis and the daily emotional experiences of two language teachers. The findings show how the focal participants navigate the complex emotional landscapes of teaching and how these are mediated by the intersections of different social identity markers such as gender, race, non‐native speaking status, and socioeconomic status.

Medicalizing disabled people's emotions-Symptom of a dis/ableist society.

The theoretical-conceptual article at hand explores how emotional discourses shape social relations by specifically focusing on the medicalization of disabled- and chronically ill-people's emotions. Medicalization is a concept from medical sociology that describes medicine's expansion into non-medical life areas, for instance into the realm of emotions, sometimes in order to challenge this expansion. The emotions of disabled people are often presented as a medicalized problem, rather than recognizing their embeddedness in a dis/ableist socio-cultural context. Such discourses instrumentalize feelings in order to individualize the responsibility for disability. For a contextualized and emancipatory approach, this study reviews papers on medicalized emotions from Disability Studies-a research program that can provide a rich archive of experiential accounts yet to be theorized through a comprehensive emotional perspective. The medicalization of disabled people's emotions can manifest in different ways: (1) In a dis/ableist society, able-mindedness is compulsory; i.e., we fail to question that a healthy mind is the norm and something to strive for unconditionally. This is also true on an emotional level; after all, some medical diagnoses are based on the wrong degree or temporality of emotionality. (2) Unpleasant feelings such as sadness are misunderstood as symptoms of impairment rather than effects of discrimination. (3) The expression of hurt feelings, e.g., related to discrimination, can easily be dismissed as hysterical. This assumption epistemologically disables patients. (4) Love and desire are delegitimized as fetish, for example, the desire for a disabled lover or the wish to start a family despite a chronic illness. The medicalization of disabled people's emotions individualizes and delegitimizes unpleasant emotions that emerge in a dis/ableist society. Different facets of medicalization enforce medical treatment instead, albeit in different ways. Disabled and sick people are cast as not feeling and desiring the right way, while hegemonic discourse prescribes psychological treatment against the effects of discrimination and bodily symptoms it cannot explain. Beyond the dismissal of disabled people's experience, adverse effects on healthcare delivery and health outcomes can be expected.

Analysing emotional discourse among allies and opponents in the news media

The sociology of emotions reveals how emotion contributes to and helps inform social and political issues. This study contributes to the literature by examining how competing advocacy coalitions ascribe emotions to their allies and opponents in the politically contentious issue of siting a gas pipeline project in the US. It analyses the emotional and belief expressions of people engaged in the debate in approximately 370 newspaper articles. Using the Advocacy Coalition Framework as a theoretical guide, people’s position on the pipeline and assignment to one of two advocacy coalitions coincides with similar emotional expressions. Moreover, allies tend to attribute more positive than negative emotions to other allies and more negative than positive emotions to opponents. This study concludes with a research agenda for furthering the empirical study of emotions in political and social life to understand the use of emotions in contentious politics.