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The Way EU Make Me Feel: Measuring Anxiety in the Brexit Negotiations Using Text and Audio
The Way EU Make Me Feel: Measuring Anxiety in the Brexit Negotiations Using Text and Audio
상세정보
- 자료유형
- 학위논문 서양
- 최종처리일시
- 20250211152837
- ISBN
- 9798384091240
- DDC
- 320
- 저자명
- Kappos, Cybele.
- 서명/저자
- The Way EU Make Me Feel: Measuring Anxiety in the Brexit Negotiations Using Text and Audio
- 발행사항
- [Sl] : University of California, Los Angeles, 2024
- 발행사항
- Ann Arbor : ProQuest Dissertations & Theses, 2024
- 형태사항
- 147 p
- 주기사항
- Source: Dissertations Abstracts International, Volume: 86-03, Section: B.
- 주기사항
- Includes supplementary digital materials.
- 주기사항
- Advisor: Peters, Margaret E.;Lewis, Jeffrey B.
- 학위논문주기
- Thesis (Ph.D.)--University of California, Los Angeles, 2024.
- 초록/해제
- 요약Politics make us anxious. People experience anxiety - defined here as a fearful uncertainty about the future course of events - when thinking about political issues such as climate change and the economy, ahead of important elections, and even when hearing the voices of certain political figures. Yet, scholars have devoted little attention to the study of this critical emotion. We know that politics make us feel anxious, but what does the language of political anxiety look and sound like? By understanding the language of anxiety, we may someday be able to understand how political elites use anxiety as a tool to persuade colleagues and constituents alike. Using the Brexit negotiations (2016-2020) as a case study, I develop a methodological tool that measures anxiety and emotional intensity in elite political rhetoric using text and audio data. I develop a dictionary of anxiety that scores speeches based on the semantic similarity to a sample of highly anxious words. With this dictionary, I am able to study how anxiety varies with party affiliation and the topic of the speech. I then examine a large subset of the data in audio format using pitch as a proxy for emotional intensity. This novel approach combines the measure of anxiety in text and emotional intensity in audio, constructing a fuller picture of the speaker's emotional state. The composite measure reveals how expressions of emotion differ according to the role of the speaker in a meeting and their party affiliation.
- 일반주제명
- Political science
- 일반주제명
- Communication
- 일반주제명
- Statistics
- 일반주제명
- Mental health
- 일반주제명
- Climate change
- 키워드
- Anxiety
- 키워드
- Audio analysis
- 키워드
- Brexit
- 키워드
- Text analysis
- 기타저자
- University of California, Los Angeles Political Science 0699
- 기본자료저록
- Dissertations Abstracts International. 86-03B.
- 전자적 위치 및 접속
- 로그인 후 원문을 볼 수 있습니다.
MARC
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■1001 ▼aKappos, Cybele.
■24510▼aThe Way EU Make Me Feel: Measuring Anxiety in the Brexit Negotiations Using Text and Audio
■260 ▼a[Sl]▼bUniversity of California, Los Angeles▼c2024
■260 1▼aAnn Arbor▼bProQuest Dissertations & Theses▼c2024
■300 ▼a147 p
■500 ▼aSource: Dissertations Abstracts International, Volume: 86-03, Section: B.
■500 ▼aIncludes supplementary digital materials.
■500 ▼aAdvisor: Peters, Margaret E.;Lewis, Jeffrey B.
■5021 ▼aThesis (Ph.D.)--University of California, Los Angeles, 2024.
■520 ▼aPolitics make us anxious. People experience anxiety - defined here as a fearful uncertainty about the future course of events - when thinking about political issues such as climate change and the economy, ahead of important elections, and even when hearing the voices of certain political figures. Yet, scholars have devoted little attention to the study of this critical emotion. We know that politics make us feel anxious, but what does the language of political anxiety look and sound like? By understanding the language of anxiety, we may someday be able to understand how political elites use anxiety as a tool to persuade colleagues and constituents alike. Using the Brexit negotiations (2016-2020) as a case study, I develop a methodological tool that measures anxiety and emotional intensity in elite political rhetoric using text and audio data. I develop a dictionary of anxiety that scores speeches based on the semantic similarity to a sample of highly anxious words. With this dictionary, I am able to study how anxiety varies with party affiliation and the topic of the speech. I then examine a large subset of the data in audio format using pitch as a proxy for emotional intensity. This novel approach combines the measure of anxiety in text and emotional intensity in audio, constructing a fuller picture of the speaker's emotional state. The composite measure reveals how expressions of emotion differ according to the role of the speaker in a meeting and their party affiliation.
■590 ▼aSchool code: 0031.
■650 4▼aPolitical science
■650 4▼aCommunication
■650 4▼aStatistics
■650 4▼aMental health
■650 4▼aClimate change
■653 ▼aAnxiety
■653 ▼aAudio analysis
■653 ▼aBrexit
■653 ▼aText analysis
■653 ▼aEmotional intensity
■690 ▼a0615
■690 ▼a0459
■690 ▼a0463
■690 ▼a0404
■690 ▼a0347
■71020▼aUniversity of California, Los Angeles▼bPolitical Science 0699.
■7730 ▼tDissertations Abstracts International▼g86-03B.
■790 ▼a0031
■791 ▼aPh.D.
■792 ▼a2024
■793 ▼aEnglish
■85640▼uhttp://www.riss.kr/pdu/ddodLink.do?id=T17164147▼nKERIS▼z이 자료의 원문은 한국교육학술정보원에서 제공합니다.
