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

Author

Listed:
  • Sarah Ottavi

    (EPSYLON - Dynamique des capacités humaines et des conduites de santé - UPVM - Université Paul-Valéry - Montpellier 3)

  • Sébastien Roussel

    (CEE-M - Centre d'Economie de l'Environnement - Montpellier - UM - Université de Montpellier - CNRS - Centre National de la Recherche Scientifique - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement - Institut Agro - Montpellier SupAgro - Institut Agro - Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement)

  • Arielle Syssau

    (EPSYLON - Dynamique des capacités humaines et des conduites de santé - UPVM - Université Paul-Valéry - Montpellier 3)

Abstract

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.

Suggested Citation

  • Sarah Ottavi & Sébastien Roussel & Arielle Syssau, 2021. "The French Affective Images of Climate Change (FAICC): A Dataset With Relevance and Affective Ratings," Post-Print hal-03325423, HAL.
    • Handle: RePEc:hal:journl:hal-03325423
    DOI: 10.3389/fpsyg.2021.650650
    Note: View the original document on HAL open archive server: https://hal.inrae.fr/hal-03325423
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    Keywords

    climate change; emotion; French version; image database; valence; arousal; relevance ratings;
    All these keywords.

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