Crowdsourcing Urban Narratives for a Post-Pandemic World
| Autor: | Claudia Lage Rebello da Motta, Daniel Schneider, Jano Moreira de Souza, Hugo Paredes, Bárbara P. Caetano, Ramon Chaves, António Correia |
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| Rok vydání: | 2021 |
| Předmět: |
050101 languages & linguistics
Computer science business.industry 05 social sciences Collective intelligence Citizen journalism 02 engineering and technology Public relations Crowdsourcing Leverage (negotiation) Urban planning 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing 0501 psychology and cognitive sciences Social media Narrative business Storytelling |
| Zdroj: | CSCWD |
| DOI: | 10.1109/cscwd49262.2021.9437759 |
| Popis: | Over the past decades, the use of digital technologies to support participatory urban planning and design has been repeatedly described as a crucial instrument and critical building block for tackling historical problems of participation in such processes. Social media, e-participation platforms, and crowdsourcing applications are examples of technologies that can involve citizens in decision-making processes and thus leverage the benefits of collective intelligence. However, despite the extensive use of social media platforms, old problems related to engagement and participation still occur in digital initiatives. Successful collaboration examples between citizens, policymakers, and strategic stakeholders are still scarce based on online social practices. This study aims to introduce a collective intelligence model, which combines crowdsourcing and social storytelling to support participatory urban planning and design from a bottom-up perspective. The paper concludes by discussing a scenario where citizens can engage in mapping, taking photos, sending ideas, or even creating collective stories about their university issues in a post-pandemic future. |
| Databáze: | OpenAIRE |
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