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