2021
DOI: 10.1017/s000305542100006x
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From Thin to Thick Representation: How a Female President Shapes Female Parliamentary Behavior

Abstract: How does the symbolic power of a female president affect female parliamentary behavior? Whereas female descriptive representation has increased around the world, women parliamentarians still face significant discrimination and stereotyping, inhibiting their ability to have a real voice and offer “thick” representation to women voters. We leverage the case of Malawi, a case where the presidency changed hands from a man to a woman through a truly exogenous shock, to study the effect of a female president on fema… Show more

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Cited by 13 publications
(13 citation statements)
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References 90 publications
(101 reference statements)
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“…In addition to our substantive findings, this article helps further familiarize political science with transformer models for natural language processing. Our transformer‐based classifier for polarizing rhetoric in tweets is highly accurate, outperforming both extant attempts at classification of political texts with transformers (e.g., Wahman, Frantzeskakis, and Yildirim 2021) and VADER, a model specifically trained for the task of analyzing social media messages (Hutto and Gilbert 2014). Transformer models show great promise, and we hope that this article demonstrates the usefulness of these models to the discipline.…”
Section: Discussionmentioning
confidence: 92%
“…In addition to our substantive findings, this article helps further familiarize political science with transformer models for natural language processing. Our transformer‐based classifier for polarizing rhetoric in tweets is highly accurate, outperforming both extant attempts at classification of political texts with transformers (e.g., Wahman, Frantzeskakis, and Yildirim 2021) and VADER, a model specifically trained for the task of analyzing social media messages (Hutto and Gilbert 2014). Transformer models show great promise, and we hope that this article demonstrates the usefulness of these models to the discipline.…”
Section: Discussionmentioning
confidence: 92%
“…While the use of neural networks in political science is a recent development, it allows the development of enormous datasets in areas of study that are underdeveloped due to a lack of data. In one recent application, for example, Wahman et al (2021) followed this approach to code more than 110,000 speeches from the Malawian parliament.…”
Section: A New Dataset On Legislative Agendas Over Time In 13 African...mentioning
confidence: 99%
“…Following the procedure discussed in Wahman et al (2021), we employed transfer learning on BERT (Devlin et al 2018), a pretrained neural network made available by Google. We used hand‐coded bills from Nigeria to retrain the network for the specific task of interest and then validated it using hand‐coded laws from Ghana and bills from Zimbabwe.…”
Section: A New Dataset On Legislative Agendas Over Time In 13 African...mentioning
confidence: 99%
“…The presence of women in politics increases women's likelihood of discussing politics, contacting officials, participating in protests, and running for office (Barnes and Burchard 2013;Dittmar, Sanbonmatsu, and Carroll 2018;Reyes-Housholder and Schwindt-Bayer 2016). Women leaders become positive role models for women and girls (Beaman et al 2012;Campbell and Wolbrecht 2006;Liu and Banaszak 2017), and a female president empowers female parliamentarians (Wahman, Frantzeskakis, and Yildirim 2021), although such a role-model effect tends to decrease over time (Beauregard 2018;Gilardi 2015). Moreover, copartisans are more responsive to the presence of a female leader.…”
Section: Effect Of Descriptive Representation On Symbolic Representationmentioning
confidence: 99%