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Transnational TV Series Adaptations: What Artificial Intelligence Can Tell Us About Gender Inequality In France And The US

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Digeon L., Amin A.

Media Literacy and Academic Research

2021

vol. 4

issue 1

6-23

The present research analyzes the inequality of gender representation in transnational TV series. For this purpose, a content analysis was carried out on 18 episodes of the US crime show Law & Order: Criminal Intent and its French adaptation Paris Enquêtes Criminelles. To conduct this research, we used the artificial intelligence toolkit the Möbius Trip, which is equipped with a gender and emotion recognition feature and relies on big data. The main findings indicate that male characters overwhelmingly dominate the onscreen time equally in both the US and the French versions. The data also show that male characters are more emotionally expressive and that women tend to display a wider range of emotions. The French characters are slightly more emotionally expressive than their American counterparts. The data also suggest that male characters tend to display violent behavior and that female characters tend to be portrayed as a victim in both versions of the show. The emotions-related results show a trend, but the difference of emotions between male and female characters and between the French and American cultures remain fairly narrow.

Gender inequality in livestock asset ownership

75%

Nadi F., Nimoh F., Antoh E. F., Anaman R.

Journal of Agribusiness and Rural Development

2021

vol. 62

issue 4

447-455

Food security is a complex phenomenon involving sociocultural and economic factors. This study examines gender inequality in livestock assets ownership on household food security in the Wa West District of Ghana. Data were collected from 400 households based on a cross-sectional survey and a multistage sampling of the respondents. Gender disparity in livestock assets distribution among men and women within the household was ascertained using the Gini index, while the household food consumption score technique was employed to determine household food security status. A binary logit regression model was used to assess the effect of gender inequality in livestock assets on household food security. The results indicated that, on average men owned 1.72 TLU compared to an average of 0.22 TLU owned by women. Livestock contribution to household food security was estimated at 16% of annual household food expenditure, with a composition of 0.90%, 6.04%, and 9.14% jointly owned, women owned, and men owned. Also, 33% of households were food insecure, while 67% of households were food secure at the time of the survey. The empirical results showed that a unit increase in the Gini index of livestock assets distribution in favour of men has a negative effect on household food security. The results further showed that household ownership of livestock, farm size, and education negatively influence household food insecurity, whereas household size, female-headed households, and dependency ratio positively affect household food insecurity in the study area. The study recommends that development programmes should target women’s economic empowerment and education to bridge the gender livestock assets gap to improve food security.

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1 Journal of Agribusiness and Rural Development

1 Media Literacy and Academic Research

1 Amin A.

1 Anaman R.

1 Antoh E. F.

1 Digeon L.

1 Nadi F.

1 Nimoh F.

2 2021

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Transnational TV Series Adaptations: What Artificial Intelligence Can Tell Us About Gender Inequality In France And The US

Gender inequality in livestock asset ownership