
doi: 10.1111/spc3.12717
Abstract Images of sexualized women depicted as animals or alongside meat are routinely used in advertising in Western culture. Philosophers and feminist scholars have long theorized that such imagery reflects the lower status of both women and animals (vs. men) in society and argued that prejudiced attitudes towards women (i.e., sexism) and animals (i.e., speciesism) are interconnected, with meat‐eating as a core symbol of masculinity. Addressing these key ideas from ecofeminist theory, we review the psychological evidence on the associations between sexism, speciesism, meat, and masculinity. Research on the animalistic dehumanization of women provides evidence that sexism and speciesism are psychologically entangled and rooted in desires for group‐based dominance and inequality. Furthermore, research on the symbolic value of meat corroborates its masculine value expressing dominance and power, and suggests that men who abstain from meat consumption (e.g., vegans) are feminized and devalued, particularly by those higher in sexism. We conclude that a greater recognition of the interconnected nature of patriarchal gender relations and practices of animal exploitation, including meat‐eating, can help in efforts to improve the status of both women and animals.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 34 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 1% |
