The Experience of Emotional Shifts in Narrative Persuasion

Winkler, Julia R.; Appel, Markus; Schmidt, Marie-Luise C.R.; Richter, Tobias

doi:10.1080/15213269.2022.2103711

Cited by 16 publications

(3 citation statements)

References 59 publications

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“…Two central emotions often associated with illness are fear of what is to come (Fofana et al., 2020), which is a basic emotion that arises as a reaction to threat, and shame (Dolezal & Lyons, 2017) that arises from feeling weak and dependent on others and from social stigmas that certain illnesses carry. Health messages often use emotions to persuade people to behave (or cease to behave) in ways that may decrease their chances of being ill, and thus avoid these negative emotions (Winkler et al, 2023). Indeed, emotional appeals have a long history in persuasion research and practice (Hovland et al, 1953).…”

Section: Health Testimonialsmentioning

confidence: 99%

The Effects of Fear and Shame in Health Testimonial Videos on Identification and Health Beliefs

Cohen,

Atad,

Mevorach

2024

Journal of Media Psychology

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Two online experiments (Study 1 N = 310; Study 2 N = 967) using video testimonials manipulated the degree of fear and shame experienced by viewers by varying the degree of risk and stigma associated with the illnesses endured by the protagonists. Results showed that increasing risk and stigma intensified identification, which in turn affected story-consistent beliefs. Trait empathy, expected to increase identification did not predict higher identification. Both studies, using different videos depicting different illnesses, found similar results suggesting a general pattern. Results are discussed in the context of persuasion theory and implications for message design are suggested.

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Section: Health Testimonialsmentioning

confidence: 99%

The Effects of Fear and Shame in Health Testimonial Videos on Identification and Health Beliefs

Cohen,

Atad,

Mevorach

2024

Journal of Media Psychology

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“…In Fig. 3 Taking the downstream ERC task as an example, task-aware DDP leverages the state transition to represent emotion shift which can enhance ERC performance and contribute to the research in the psychology domain (Winkler et al, 2023). The state transition mapping g (eq.…”

Section: Task-aware Dialogue Discourse Parsingmentioning

confidence: 99%

Task-Aware Self-Supervised Framework for Dialogue Discourse Parsing

Li,

Zhu,

Shao

et al. 2023

Findings of the Association for Computational Linguistics: EMNLP 2023

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Dialogue discourse parsing is a fundamental natural language processing task. It can benefit a series of conversation-related downstream tasks including dialogue summarization and emotion recognition in conversations. However, existing parsing approaches are constrained by predefined relation types, which can impede the adaptability of the parser for downstream tasks. To this end, we propose to introduce a taskaware paradigm to improve the versatility of the parser in this paper. Moreover, to alleviate error propagation and learning bias, we design a graph-based discourse parsing model termed DialogDP. Building upon the symmetrical property of matrix-embedded parsing graphs, we have developed an innovative self-supervised mechanism that leverages both bottom-up and top-down parsing strategies. This approach allows the parsing graphs to mutually regularize and enhance each other. Empirical studies on dialogue discourse parsing datasets and a downstream task demonstrate the effectiveness and flexibility of our framework 1 .

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“…Third, we examined self-reported emotional responses on an aggregated level of prototypical plot units and forewent the investigation of moment-to-moment responses. Examining emotional responses as they occur is challenging, alternative approaches such as realtime-response measurement (Winkler et al, 2022) or self-probed emotional retrospections (Winkler et al, 2023) have their own limitations. That said, an investigation of smaller story segments or even moment-to-moment analyses would further clarify our findings.…”

Section: Limitationsmentioning

confidence: 99%

Tracking Emotional Shifts During Story Reception: The Relationship Between Narrative Structure and Affective Responses

Schmidt,

Winkler,

Appel

et al. 2023

Scientific Study of Literature

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Varying emotional content guides audiences' attention during story reception. This study explored audiences' emotional responses to stories to examine how emotional flow is related to the narrative material in valence and structure. We investigated the match between textual and emotional valence trajectories and examined accompanying further immediate and retrospective affective responses. Responses were tracked to three auditory short stories of different genres (happy-ending story, tragedy, and thriller) over four plot units (introduction, complication, climax and end). Sympathetic and vagal activation were measured continuously. Valence, arousal, and emotional intensity were measured retrospectively. Textual valence trajectories acquired by sentiment analyses corresponded mostly to retrospective ratings of stories with textually clear content of happiness and sadness. Immediate and retrospective emotional responses corresponded evidently to structural narrative features such as the climax. We discuss our work as clarifying groundwork for future research on emotional flow that links textual analyses to emotional responses.

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The Experience of Emotional Shifts in Narrative Persuasion

Cited by 16 publications

References 59 publications

The Effects of Fear and Shame in Health Testimonial Videos on Identification and Health Beliefs

The Effects of Fear and Shame in Health Testimonial Videos on Identification and Health Beliefs

Task-Aware Self-Supervised Framework for Dialogue Discourse Parsing

Tracking Emotional Shifts During Story Reception: The Relationship Between Narrative Structure and Affective Responses

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