This dataset contains 2,381 Italian tweets related to risk events (such as the Covid-19 pandemic and climate change) manually annotated according to the Risk Co-De Model, created from psychosocial processes related to risk perception that are described in the existing literature to identify stance towards risk, ranging from consciousness to denial, as expressed in natural language. The model comprises four macro-categories (Consciousness; Justification; Distance; Denial); these can be divided into nine more detailed micro-categories (Consciousness - C; Moral, Social, and Economic Justification - GJ; Advantageous Comparison - GC; Displacement of Responsibility - GD; Temporal Distance - DT; Geographical Distance - DG; Social Distance - DS; Interpretive Denial - NI; Literal Denial - NL).

Training Set Risk Co-De Model / Rizzoli, Valentina. - (2023).

Training Set Risk Co-De Model

Valentina Rizzoli
2023

Abstract

This dataset contains 2,381 Italian tweets related to risk events (such as the Covid-19 pandemic and climate change) manually annotated according to the Risk Co-De Model, created from psychosocial processes related to risk perception that are described in the existing literature to identify stance towards risk, ranging from consciousness to denial, as expressed in natural language. The model comprises four macro-categories (Consciousness; Justification; Distance; Denial); these can be divided into nine more detailed micro-categories (Consciousness - C; Moral, Social, and Economic Justification - GJ; Advantageous Comparison - GC; Displacement of Responsibility - GD; Temporal Distance - DT; Geographical Distance - DG; Social Distance - DS; Interpretive Denial - NI; Literal Denial - NL).
2023
File allegati a questo prodotto
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1679485
 Attenzione

Attenzione! I dati visualizzati non sono stati sottoposti a validazione da parte dell'ateneo

Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
social impact