The French Affective Images of Climate Change (FAICC): A Dataset With Relevance and Affective Ratings
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6 août 2021
- handle: 10670/1.9ndody
- hal: hal-03325423
- doi: 10.3389/fpsyg.2021.650650
- PUBMED: 34421709
- WOS: 000688018000001
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info:eu-repo/semantics/altIdentifier/doi/10.3389/fpsyg.2021.650650
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info:eu-repo/semantics/altIdentifier/pmid/34421709
info:eu-repo/semantics/OpenAccess
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Sarah Ottavi et al., « The French Affective Images of Climate Change (FAICC): A Dataset With Relevance and Affective Ratings », HAL-SHS : économie et finance, ID : 10.3389/fpsyg.2021.650650
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In this paper,the authors provide a data report that describes an original dataset named French Affective Images of Climate Change (FAICC) database. The main objective is to provide tools for CC assessment. Images are rated by a sample of non-experts according to three variables: relevance to CC, arousal, and emotional valence. The database provides for each image an identification number, the mean rating and standard deviation of ratings for relevance, arousal and valence, respectively.