The French Affective Images of Climate Change (FAICC): A Dataset With Relevance and Affective Ratings

Sarah Ottavi (1) , Sébastien Roussel (2) , Arielle Syssau (1)

1 EPSYLON - Dynamique des capacités humaines et des conduites de santé
2 CEE-M - Centre d'Economie de l'Environnement - Montpellier

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.

Mots clés: climate change; emotion; French version; image database; valence; arousal; relevance ratings

Domaines: Sciences de l'Homme et Société; Economies et finances

Sarah Ottavi, Sébastien Roussel, Arielle Syssau. The French Affective Images of Climate Change (FAICC): A Dataset With Relevance and Affective Ratings. Frontiers in Psychology, 2021, 12, ⟨10.3389/fpsyg.2021.650650⟩. ⟨hal-03325423⟩