Faculty mentor: Shannon McGregor
This research project utilized Computer Aided Textual Analysis (CATA) to parse the transcripts of 16 previous Supreme Court nomination hearings for phrases which could be considered polarized, in addition to words indicating positive and negative affect. In total, nearly 2.2 million words spoken between 127 unique speakers were analyzed. The final results of this project indicate that the nomination hearings are not becoming more polarized along constitutional terms.
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