| Literature DB >> 34188343 |
Kristyn L Karl1, Lindsey Cormack1.
Abstract
Emotional appeals are powerful motivators of political action. Yet the gender of a politician and the existing stereotypes held by audiences complicate the determination of which type of emotional appeal is best suited for different issue areas. In what ways do politicians' emotional appeals serve to mitigate or exacerbate the impact of gender stereotypes across different policy domains? This research examines when politicians pay penalties or gain rewards for their emotional expressions using a survey experiment on a diverse national sample. We find evidence that women politicians are on equal footing or stand to benefit when expressing masculine emotions while also having greater emotional freedom across policy domains. Men politicians, on the other hand, are significantly punished for not acting "manly" enough in masculine policy domains. Nonetheless, these patterns become complicated by both situational context and partisan expectations. The results provide promise for the future prospects of women politicians while pointing to the continued relevance of gendered stereotypes about emotionality in today's political world. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s11109-021-09727-5.Entities:
Keywords: Emotion; Gender; Partisanship; Political evaluation; Stereotype
Year: 2021 PMID: 34188343 PMCID: PMC8224991 DOI: 10.1007/s11109-021-09727-5
Source DB: PubMed Journal: Polit Behav ISSN: 0190-9320
Evaluations of favorability and issue response by issue, gender, and emotion
| Defense | Education | |||
|---|---|---|---|---|
| Favorability | Issue response | Favorability | Issue response | |
| Female Politician | 0.085*** | 0.083*** | 0.053** | 0.056* |
| (0.025) | (0.029) | (0.025) | (0.029) | |
| Angry Emotion Cue | 0.061** | 0.022 | 0.008 | 0.001 |
| (0.025) | (0.029) | (0.026) | (0.029) | |
| Female Pol. X Angry Cue | − 0.079** | − 0.082** | − 0.019 | − 0.035 |
| (0.035) | (0.040) | (0.036) | (0.041) | |
| Female Respondent | − 0.022 | − 0.052** | 0.002 | 0.029 |
| (0.018) | (0.021) | (0.019) | (0.021) | |
| Respondent PID (R) | 0.064*** | 0.077*** | − 0.066*** | − 0.070*** |
| (0.022) | (0.026) | (0.023) | (0.026) | |
| Age | − 0.017 | − 0.013 | − 0.089** | − 0.192*** |
| (0.042) | (0.048) | (0.044) | (0.050) | |
| Nonwhite | − 0.054*** | − 0.043* | − 0.083*** | − 0.064** |
| (0.021) | (0.024) | (0.022) | (0.025) | |
| Education | 0.090** | 0.055 | 0.050 | 0.025 |
| (0.036) | (0.042) | (0.041) | (0.046) | |
| Constant | 0.524*** | 0.522*** | 0.680*** | 0.669*** |
| (0.035) | (0.040) | (0.038) | (0.043) | |
| Observations | 702 | 703 | 684 | 686 |
| R-squared | 0.062 | 0.052 | 0.039 | 0.041 |
Standard errors in parentheses. *** p < 0.01, ** p < 0.05, * p < 0.1
Fig. 1Politician favorability by politician gender and emotion across issue domain
Fig. 2Agreement with issue response by politician gender and emotion across issue domain
Hypothesis test results
Results isolate the average marginal effect associated with each change. Shading indicates consistency with each hypothesis. *** p < 0.01, ** p < 0.05, * p < 0.1
Fig. 3Perceived partisanship by politician gender and issue domain
Impact of perceived partisanship on evaluations of favorability and issue response
| Defense | Education | |||
|---|---|---|---|---|
| Favorability | Issue resp. | Favorability | Issue resp. | |
| Female Politician | − 0.086 | − 0.104 | 0.083* | 0.048 |
| (0.057) | (0.065) | (0.046) | (0.052) | |
| Angry Emotion Cue | − 0.047 | − 0.141** | 0.056 | 0.037 |
| (0.057) | (0.066) | (0.048) | (0.055) | |
| Female Pol. X Angry Cue | 0.118 | 0.159* | − 0.104 | − 0.096 |
| (0.078) | (0.090) | (0.066) | (0.075) | |
| Perceived Politician PID (R) | − 0.257*** | − 0.330*** | − 0.027 | − 0.045 |
| (0.060) | (0.069) | (0.063) | (0.071) | |
| Female Politician X Pol. PID (R) | 0.270*** | 0.288*** | − 0.073 | 0.014 |
| (0.083) | (0.096) | (0.086) | (0.098) | |
| Angry Cue X Pol. PID (R) | 0.166** | 0.253*** | − 0.100 | − 0.074 |
| (0.082) | (0.095) | (0.087) | (0.099) | |
Female Pol. X Angry Cue X Pol. PID (R) | − 0.322*** (0.115) | − 0.387*** (0.133) | 0.191 (0.123) | 0.130 (0.140) |
| Female Respondent | − 0.024 | − 0.052** | 0.003 | 0.028 |
| (0.018) | (0.021) | (0.019) | (0.021) | |
| Respondent PID (R) | 0.086*** | 0.106*** | − 0.053** | − 0.065** |
| (0.023) | (0.027) | (0.024) | (0.028) | |
| Age | 0.000 | 0.007 | − 0.104** | − 0.206*** |
| (0.041) | (0.047) | (0.044) | (0.050) | |
| Nonwhite | − 0.052** | − 0.043* | − 0.084*** | − 0.066*** |
| (0.020) | (0.024) | (0.022) | (0.026) | |
| Education | 0.097*** | 0.061 | 0.042 | 0.022 |
| (0.036) | (0.042) | (0.041) | (0.046) | |
| Constant | 0.669*** | 0.709*** | 0.694*** | 0.694*** |
| (0.051) | (0.059) | (0.047) | (0.053) | |
| Observations | 700 | 702 | 683 | 685 |
| R-squared | 0.097 | 0.092 | 0.049 | 0.047 |
Standard errors in parentheses. *** p < 0.01, ** p < 0.05, * p < 0.1
Fig. 4Marginal effect of expressing anger (versus sadness) in defense issue domain by politician gender and perceived partisanship