Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Langua 2021
DOI: 10.18653/v1/2021.naacl-main.388
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Self Promotion in US Congressional Tweets

Abstract: Prior studies have found that women selfpromote less than men due to gender stereotypes. In this study we built a BERT-based NLP model to predict whether a Congressional tweet shows self-promotion or not and then used this model to examine whether a gender gap in self-promotion exists among Congressional tweets. After analyzing 2 million Congressional tweets from July 2017 to March 2021, controlling for a number of factors that include political party, chamber, age, number of terms in Congress, number of daily… Show more

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Cited by 2 publications
(1 citation statement)
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“…On the other hand, bragging is about aspects that are positively valued by the audience with the goal of improving the speaker's self-image. Bak et al (2014a) aim to predict different levels of self-disclosure statements, from general to sensitive; while Wang et al (2021) examine gender differences in selfpromotion by Congress members on Twitter. Bragging also involves in some cases possessions (Chinnappa and Blanco, 2018).…”
Section: Analysis Of Braggingmentioning
confidence: 99%
“…On the other hand, bragging is about aspects that are positively valued by the audience with the goal of improving the speaker's self-image. Bak et al (2014a) aim to predict different levels of self-disclosure statements, from general to sensitive; while Wang et al (2021) examine gender differences in selfpromotion by Congress members on Twitter. Bragging also involves in some cases possessions (Chinnappa and Blanco, 2018).…”
Section: Analysis Of Braggingmentioning
confidence: 99%