Dictionaries and tags for automatic assignment of moral foundations to movies

Published: 22 June 2023| Version 1 | DOI: 10.17632/fyh9y3tngn.1
Contributors:
,
,
, Joaquín M López-Muñoz,

Description

The importance of morality has been steadily growing, leading to its observation and measurement in various contexts, including public acts and the development and consumption of products such as movies. The Moral Foundations Theory (MFT) was developed to rigorously perform these measurements with the support of the Moral Foundations Dictionary (MFD). The data presented here have been generated to evaluate the performance of automatic assignment of moral foundations in the movie domain. The Excel file “MoralFoundationDictionaries.xlsx” contains the MFD10 dictionary and the extended one (MFD24), whereas the file “MoviesTags.xlsx” contains the tags for 20 movies. All the information on data collection and dataset building is presented in the following paper. This paper is encouraged to be cited in case of any scientific research publication is produced using this dataset: Carlos González-Santos, Miguel A. Vega-Rodríguez, Carlos J. Pérez, Joaquín M. López-Muñoz, and Iñaki Martínez-Sarriegui. Automatic assignment of moral foundations to movies by word embedding, Knowledge-Based Systems, Volume 270, 2023, 110539, https://doi.org/10.1016/j.knosys.2023.110539 This research has been supported by Ministry of Science and Innovation - Spain and State Research Agency - Spain (Projects PID2019-107299GB-I00 and PID2021-122209OB-C32 funded by MCIN/AEI/10.13039 /501100011033), Junta de Extremadura - Spain (Projects IDA3-19-0001-3, GR21017, and GR21057), and European Union (European Regional Development Fund).

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Institutions

Universidad de Extremadura

Categories

Natural Language Processing, Morality, Word Embedding

Funding

Agencia Estatal de Investigación

PID2019-107299GB-I00

Agencia Estatal de Investigación

PID2021-122209OB-C32

Government of Extremadura

IDA3-19-0001-3; GR21017; and GR21057

European Commission

IDA3-19-0001-3; GR21017; and GR21057

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