Abstract
This study considered the impact of gender on visual coverage of the top 12 candidates in the 2020 Democratic Presidential Primary. Using Microsoft Azure’s Face API, we analyzed 9,529 still images from 43 mainstream news sources for facial emotion (happiness, anger, neutrality) and prominence (close-up, medium, long shots). We found visual evidence for an age-old narrative that undermines confidence in women’s leadership fitness: They were presented as emotionally less composed than men. Although we found no gender differences for facial prominence per se, its interaction with facial emotion gave nuance to gender differences in visual coverage of leadership performances.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 498-528 |
| Number of pages | 31 |
| Journal | Journalism and Mass Communication Quarterly |
| Volume | 100 |
| Issue number | 3 |
| DOIs | |
| State | Published - Sep 2023 |
| Externally published | Yes |
Bibliographical note
Publisher Copyright:© 2022 AEJMC.
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 5 Gender Equality
Keywords
- emotion
- face-ism
- facial displays
- gender
- leadership
- news
- political campaigns
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