Alba Curry

Emotions are a central aspect of communication. Consequently, emotion analysis (EA) is a rapidly growing field in natural language processing (NLP). However, there is no consensus on scope, direction, or methods. In this paper, we conduct a thorough review of 154 relevant NLP publications from the last decade. Based on this review, we address four different questions: (1) How are EA tasks defined in NLP? (2) What are the most prominent emotion frameworks and which emotions are modeled? (3) Is the subjectivity of emotions considered in terms of demographics and cultural factors? and (4) What are the primary NLP applications for EA? We take stock of trends in EA and tasks, emotion frameworks used, existing datasets, methods, and applications. We then discuss four lacunae: (1) the absence of demographic and cultural aspects does not account for the variation in how emotions are perceived, but instead assumes they are universally experienced in the same manner; (2) the poor fit of emotion categories from the two main emotion theories to the task; (3) the lack of standardized EA terminology hinders gap identification, comparison, and future goals; and (4) the absence of interdisciplinary research isolates EA from insights in other fields. Our work will enable more focused research into EA and a more holistic approach to modeling emotions in NLP.

Large language models (LLMs) reflect societal norms and biases, especially about gender. While societal biases and stereotypes have been extensively researched in various NLP applications, there is a surprising gap for emotion analysis. However, emotion and gender are closely linked in societal discourse. E.g., women are often thought of as more empathetic, while men's anger is more socially accepted. To fill this gap, we present the first comprehensive study of gendered emotion attribution in five state-of-the-art LLMs (open- and closed-source). We investigate whether emotions are gendered, and whether these variations are based on societal stereotypes. We prompt the models to adopt a gendered persona and attribute emotions to an event like 'When I had a serious argument with a dear person'. We then analyze the emotions generated by the models in relation to the gender-event pairs. We find that all models consistently exhibit gendered emotions, influenced by gender stereotypes. These findings are in line with established research in psychology and gender studies. Our study sheds light on the complex societal interplay between language, gender, and emotion. The reproduction of emotion stereotypes in LLMs allows us to use those models to study the topic in detail, but raises questions about the predictive use of those same LLMs for emotion applications.

Anger, far from being only a personal emotion, often signals a breakdown in existing societal structures like the justice system. This does not mean we should uncritically submit to our angry impulses, but it does mean that anger can reveal larger issues in the world worthy of attention. If we banish anger from the socio-political landscape, we risk losing its insights. To defend that claim, I turn to a range of sources from ancient China and Greece—philosophy, poetry, drama, and political theory—that depict and analyze anger in a variety of situations and people. My basic claim is not that anger is simply “good” or “bad” but rather that it helps reveal and clarify our values, often pointing us towards real situations deserving of our ethical scrutiny. I situate the project amidst ongoing debates in analytic philosophy of emotions and feminist philosophy, joining the conceptual precision and clarity of the former with the latter’s attention to lived experience. Such cross-cultural, multidisciplinary conceptual analysis of anger parochializes Aristotelian understandings of anger by introducing different types and functions of anger. What role does anger play, for example, in a minister rebuking the king in an ancient Chinese court? How do Greek sources depict female anger differently than male anger, and why? By using ancient and comparative sources, I show how deeply anger is shaped by particular cultural and social structures, whilst remaining recognizably anger.

Emotions are an integral part of human cognition and they guide not only our understanding of the world but also our actions within it. As such, whether we soothe or flame an emotion is not inconsequential. Recent work in conversational AI has focused on responding empathetically to users, validating and soothing their emotions without a real basis. This AI-aided emotional regulation can have negative consequences for users and society, tending towards a one-noted happiness defined as only the absence of "negative" emotions. We argue that we must carefully consider whether and how to respond to users' emotions.

This paper explores the ways in which Cordwainer Smith’s short story “Under Old Earth” problematizes emotions, who/what has them, and who/what is granted moral status. Most importantly, however, “Under Old Earth” questions the primacy of happiness in human society, especially where happiness is understood as the absence of other (negative) emotions. As such, “Under Old Earth” challenges the notion, widely held in contemporary ethics, that our moral obligation to one another is mediated through the goal of the attainment of happiness. Through this challenge, Smith’s short story speaks directly to the current understanding of emotion in the field of AI, and complicates what the goal of affective computing should be.

The emotion of anger has received overall negative treatment in recent moral philosophy. This article explores the gendered representations of anger in the Lienüzhuan 《列女傳》 of Liu Xiang 劉向 (77–6 BCE). It begins with a brief account of the semantic field of anger and its representation in the Lienüzhuan, focusing on three important patterns. Perhaps most important is the didactic role of anger; and how female teachers use it (or avoid it) in instructing male sons, husbands and rulers. Second is the treatment of women’s distinct strategies for addressing the effects of being the object of the anger of others. The third is the representation of female anger in accounts of female vice. The representations of anger in the LNZ provides an important alternative to views of anger as motivated by the desire for payback and status. The LNZ, like other pre-Qin texts, understands anger very differently, and focuses on other-regarding anger, based on perceptions of wrongdoing and injustice.