NARR-ATY-VES · A computational approach to studying how narratives can promote and support the reception of atypicality
Horizon Europe — Marie Skłodowska-Curie Actions
- Duration
- 2023-09-01 → 2025-08-31
- EU contribution
- €181,153
- Participants
- 1
- Scheme
- HORIZON-TMA-MSCA-PF-EF
Lines connect the coordinator with its partners.
Results in brief
A computational approach to studying how narratives can promote and support the reception of atypicality
Throughout human history, there has been a persistent and compelling fascination with novelty. From ancient Greek philosophies and revolutionary scientific discoveries of the Renaissance to avant-garde art movements and contemporary advances in artificial intelligence, societies have consistently advanced by pursuing ideas once considered unconventional and atypical. Yet, despite this inherent attraction, obtaining support for ideas, products, or practices that deviate from established norms represents a significant challenge, a point frequently highlighted within entrepreneurship, innovation, and organizational studies. This tension underscores the dual nature of atypicality. Although deviating from conventional expectations exposes individuals and organizations to considerable risks of failing to meet basic social acceptance criteria, socio-cultural innovation is inherently linked to breaking away from conventional patterns. Management, organizational studies, and economic sociology scholars have extensively explored this paradox, and significant attention has been directed toward understanding the systemic factors that relieve pressures toward conformity. While literature acknowledges the potential for social actors to reshape societal structures, individual agency is often relegated to a peripheral role. Without favorable structural conditions, such as supportive audiences or substantial status, those who deviate from established norms tend to face unfavorable outcomes. The current project introduces a narrative perspective to understand how atypical actors can actively use language to counteract negative responses from their audience. There is ample evidence that language plays a critical role in shaping social evaluations, and storytelling is a fundamental cultural tool that individuals use to guide others in making sense of their efforts and intentions and influence their decisions. By employing Big Data and Natural Language Processing (NLP) methodologies, the NARR-ATY-VES (Narratives for Atypicality) project seeks to illuminate how narratives can promote and support the reception of atypicality.
Data: CORDIS, © European Union
Project objective
Among the lessons learned from the recent pandemic is the importance of embracing the unconventional. Indeed, atypical approaches have proved to be a key strategic resource for coping with unpredictable events, promoting socio-cultural transformation, and expanding the capacity to deliver valued goods and services. However, although a departure from what is a standard positioning within socio-cultural domains may open up pathways to exceptional impact, existing research shows that atypical ideas, products, or actors generate mistrust and encourage rejection as they are subject to skepticism and face a higher risk of being considered ambiguous or illegitimate. This project's aim is to study how narratives can support the reception of atypicality and stimulate its diffusion. Narratives are powerful means of sustaining the alignment between actions and established conventions, especially in the face of situations that depart from expectations or definitions of what is considered contextually normal. NARR-ATY-VES (Narratives for Atypicality) aims to 1) develop an understanding of the role of narratives' content and structure in promoting and supporting the evaluation of atypicality and 2) introduce an innovative computational approach based on cutting-edge Natural Language Processing (NLP) techniques to model two fundamental dimensions of narratives, namely their contextual embeddedness and their sequential unfolding based on cutting-edge Natural Language Processing (NLP) techniques, to map narrativity, i.e., the set of narrative elements that characterize the complex nature of narratives. Through this hands-on 2-year research project, the Researcher's knowledge and skill will be enhanced enormously, and he shall be en route to becoming an expert in this field.
Original text from CORDIS.
Participants
- IE UNIVERSIDAD · SegoviaCoordinatorSpain
Links
- View on CORDIS
- DOI: 10.3030/101103930
- https://ec.europa.eu/research/participants/documents/downloadPublic?documentIds=080166e5094f4c8b&appId=PPGMS
- https://ec.europa.eu/research/participants/documents/downloadPublic?documentIds=080166e51f6230b9&appId=PPGMS
Data: CORDIS, © European Union
