Partisanship, Electoral Autocracy, and Citizen Perceptions of Party System Polarization

Just, Aida

doi:10.1007/s11109-022-09839-6

Cited by 1 publication

(1 citation statement)

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“…Comparing their research to this one, it is observable that in the 10 years after the 2012 elections, the gap has widened significantly, with Democrats publishing 27.62% more tweets in the 2022 House elections compared to just 3.57% in 2012. The high subjectivity that was observed through sentiment analysis in all elections can be attributed, as noted by Just [74], to people's political orientations and behavior, which are more strongly shaped by their subjective rather than objective political environment.…”

Section: Research Results and Discussionmentioning

confidence: 99%

Polarizing Topics on Twitter in the 2022 United States Elections

Katalinić,

Dunđer,

Seljan

2023

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Politically polarizing issues are a growing concern around the world, creating divisions along ideological lines, which was also confirmed during the 2022 United States midterm elections. The purpose of this study was to explore the relationship between the results of the 2022 U.S. midterm elections and the topics that were covered during the campaign. A dataset consisting of 52,688 tweets in total was created by collecting tweets of senators, representatives and governors who participated in the elections one month before the start of the elections. Using unsupervised machine learning, topic modeling is built on the collected data and visualized to represent topics. Furthermore, supervised machine learning is used to classify tweets to the corresponding political party, whereas sentiment analysis is carried out in order to detect polarity and subjectivity. Tweets from participating politicians, U.S. states and involved parties were found to correlate with polarizing topics. This study hereby explored the relationship between the topics that were creating a divide between Democrats and Republicans during their campaign and the 2022 U.S. midterm election outcomes. This research found that polarizing topics permeated the Twitter (today known as X) campaign, and that all elections were classified as highly subjective. In the Senate and House elections, this classification analysis showed significant misclassification rates of 21.37% and 24.15%, respectively, indicating that Republican tweets often aligned with traditional Democratic narratives.

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Section: Research Results and Discussionmentioning

confidence: 99%