How Similar Are Elected Politicians and Their Constituents? Quantitative Evidence From Online Social Networks
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Abstract (arXiv)
How similar are politicians to those who vote for them? This is a critical question at the heart of democratic representation and particularly relevant at times when political dissatisfaction and populism are on the rise. To answer this question we compare the online discourse of elected politicians and their constituents. We collect a two and a half years (September 2020 - February 2023) constituency-level dataset for USA and UK that includes: (i) the Twitter timelines (5.6 Million tweets) of elected political representatives (595 UK Members of Parliament and 433 USA Representatives), (ii) the Nextdoor posts (21.8 Million posts) of the constituency (98.4% USA and 91.5% UK constituencies). We find that elected politicians tend to be equally similar to their constituents in terms of content and style regardless of whether a constituency elects a right or left-wing politician. The size of the electoral victory and the level of income of a constituency shows a nuanced picture. The narrower the electoral victory, the more similar the style and the more dissimilar the content is. The lower the income of a constituency, the more similar the content is. In terms of style, poorer constituencies tend to have a more similar sentiment and more dissimilar psychological text traits (i.e. measured with LIWC categories).
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References · 6
- 2020MPNet: Masked and Permuted Pre-training for Language Understandingcited by 973
- 2022BERTopic: Neural topic modeling with a class-based TF-IDF procedurecited by 779
- 2023Jina Embeddings: A Novel Set of High-Performance Sentence Embedding Modelscited by 35
- 2017A Long-Term Analysis of Polarization on Twittercited by 17
- 2022niksss at HinglishEval: Language-agnostic BERT-based Contextual Embeddings with Catboost for Quality Evaluation of the Low-Resource Synthetically Generated Code-Mixed Hinglish Textcited by 1
- 2023Template-assisted Contrastive Learning of Task-oriented Dialogue Sentence Embeddingscited by 1
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