본문

서브메뉴

Don't Judge an Album by Its Cover- [electronic resource]
Don't Judge an Album by Its Cover - [electronic resource]
Don't Judge an Album by Its Cover- [electronic resource]

상세정보

자료유형  
 학위논문파일 국외
최종처리일시  
20240214101225
ISBN  
9798380387910
DDC  
384
저자명  
Fischer, Sean.
서명/저자  
Dont Judge an Album by Its Cover - [electronic resource]
발행사항  
[S.l.]: : University of Pennsylvania., 2022
발행사항  
Ann Arbor : : ProQuest Dissertations & Theses,, 2022
형태사항  
1 online resource(232 p.)
주기사항  
Source: Dissertations Abstracts International, Volume: 85-03, Section: A.
주기사항  
Advisor: Lelkes, Yphtach.
학위논문주기  
Thesis (Ph.D.)--University of Pennsylvania, 2022.
사용제한주기  
This item must not be sold to any third party vendors.
초록/해제  
요약Do Democrats and Republicans listen to the same music? Watch the same movies? Read the same books? It would be reasonable to conclude, based on popular press reporting, that members from the two parties effectively in their own cultural bubbles with few cultural preferences crossing over between them. If true, this condition threatens to erode the social fabric that we rely upon to smooth over partisan conflict and disagreement, as apolitical lifestyle and cultural preferences act as a sort of social glue. However, the academic research behind these claims is mixed, with credible evidence on both sides of the debate. Jumping into this research gap, this dissertation attempts to improve upon the methods used in prior studies to clarify the extent to which partisans share cross-party cultural preferences.The main methodological improvement comes from a reworking of how audience networks are constructed from a combination of survey and digital trace data. Across three pilot studies, I demonstrate how this method works and how it suggests that partisans' cultural preferences are not substantively polarized. But, all of the datasets analyzed in these pilot studies are flawed in crucial ways, making it hard to draw generalizable conclusions from them. As such, I follow up with this dissertation's main study: a network analysis of an original dataset pairing behavioral data from Spotify with survey responses. Applied to this more robust dataset, my network-based approach finds that shared cultural preferences span across party lines, especially when people only share a few preferences. Larger sets of shared preferences are more likely to run between those with shared partisan identities, but these types of strong ties are very rare, even among co-partisans. However, these observational network-based results leave open an important question: what might be causing notable acute cases of partisan cultural polarization? I test one possible answer: elite political cues. I test this possibility via a simple survey experiment placing the musician Jon Bon Jovi in different contexts and asking subjects to evaluate him and his music. In doing so, I find that even an extreme political cue given through the survey is unable to generate strong reactions among subjects.Ultimately, this dissertation makes two important points. First, that partisans actually appear to share a substantial number of cultural preferences, undermining claims of partisan cultural bubbles. Second, that for partisanship to influence cultural preferences, people likely need to be exposed to persistent, strong, and diverse cues from both elites and peers. Together, these conclusions point to an important limit in the spillover of partisanship and its influences on the nonpolitical parts of our lives.
일반주제명  
Communication.
일반주제명  
Political science.
일반주제명  
Sociology.
키워드  
Cultural preferences
키워드  
Network science
키워드  
Partisanship
키워드  
Polarization
키워드  
Political communication
기타저자  
University of Pennsylvania Communication
기본자료저록  
Dissertations Abstracts International. 85-03A.
기본자료저록  
Dissertation Abstract International
전자적 위치 및 접속  
로그인 후 원문을 볼 수 있습니다.

MARC

 008240612s2022      us  |||||||||||||||c||eng  d
■001000016933263
■00520240214101225
■006m          o    d                
■007cr#unu||||||||
■020    ▼a9798380387910
■035    ▼a(MiAaPQ)AAI30526892
■040    ▼aMiAaPQ▼cMiAaPQ
■0820  ▼a384
■1001  ▼aFischer,  Sean.
■24510▼aDon't  Judge  an  Album  by  Its  Cover▼h[electronic  resource]
■260    ▼a[S.l.]:▼bUniversity  of  Pennsylvania.  ▼c2022
■260  1▼aAnn  Arbor  :▼bProQuest  Dissertations  &  Theses,  ▼c2022
■300    ▼a1  online  resource(232  p.)
■500    ▼aSource:  Dissertations  Abstracts  International,  Volume:  85-03,  Section:  A.
■500    ▼aAdvisor:  Lelkes,  Yphtach.
■5021  ▼aThesis  (Ph.D.)--University  of  Pennsylvania,  2022.
■506    ▼aThis  item  must  not  be  sold  to  any  third  party  vendors.
■520    ▼aDo  Democrats  and  Republicans  listen  to  the  same  music?  Watch  the  same  movies?  Read  the  same  books?  It  would  be  reasonable  to  conclude,  based  on  popular  press  reporting,  that  members  from  the  two  parties  effectively  in  their  own  cultural  bubbles  with  few  cultural  preferences  crossing  over  between  them.  If  true,  this  condition  threatens  to  erode  the  social  fabric  that  we  rely  upon  to  smooth  over  partisan  conflict  and  disagreement,  as  apolitical  lifestyle  and  cultural  preferences  act  as  a  sort  of  social  glue.  However,  the  academic  research  behind  these  claims  is  mixed,  with  credible  evidence  on  both  sides  of  the  debate.  Jumping  into  this  research  gap,  this  dissertation  attempts  to  improve  upon  the  methods  used  in  prior  studies  to  clarify  the  extent  to  which  partisans  share  cross-party  cultural  preferences.The  main  methodological  improvement  comes  from  a  reworking  of  how  audience  networks  are  constructed  from  a  combination  of  survey  and  digital  trace  data.  Across  three  pilot  studies,  I  demonstrate  how  this  method  works  and  how  it  suggests  that  partisans'  cultural  preferences  are  not  substantively  polarized.  But,  all  of  the  datasets  analyzed  in  these  pilot  studies  are  flawed  in  crucial  ways,  making  it  hard  to  draw  generalizable  conclusions  from  them.  As  such,  I  follow  up  with  this  dissertation's  main  study:  a  network  analysis  of  an  original  dataset  pairing  behavioral  data  from  Spotify  with  survey  responses.  Applied  to  this  more  robust  dataset,  my  network-based  approach  finds  that  shared  cultural  preferences  span  across  party  lines,  especially  when  people  only  share  a  few  preferences.  Larger  sets  of  shared  preferences  are  more  likely  to  run  between  those  with  shared  partisan  identities,  but  these  types  of  strong  ties  are  very  rare,  even  among  co-partisans.  However,  these  observational  network-based  results  leave  open  an  important  question:  what  might  be  causing  notable  acute  cases  of  partisan  cultural  polarization?  I  test  one  possible  answer:  elite  political  cues.  I  test  this  possibility  via  a  simple  survey  experiment  placing  the  musician  Jon  Bon  Jovi  in  different  contexts  and  asking  subjects  to  evaluate  him  and  his  music.  In  doing  so,  I  find  that  even  an  extreme  political  cue  given  through  the  survey  is  unable  to  generate  strong  reactions  among  subjects.Ultimately,  this  dissertation  makes  two  important  points.  First,  that  partisans  actually  appear  to  share  a  substantial  number  of  cultural  preferences,  undermining  claims  of  partisan  cultural  bubbles.  Second,  that  for  partisanship  to  influence  cultural  preferences,  people  likely  need  to  be  exposed  to  persistent,  strong,  and  diverse  cues  from  both  elites  and  peers.  Together,  these  conclusions  point  to  an  important  limit  in  the  spillover  of  partisanship  and  its  influences  on  the  nonpolitical  parts  of  our  lives.
■590    ▼aSchool  code:  0175.
■650  4▼aCommunication.
■650  4▼aPolitical  science.
■650  4▼aSociology.
■653    ▼aCultural  preferences
■653    ▼aNetwork  science
■653    ▼aPartisanship
■653    ▼aPolarization
■653    ▼aPolitical  communication
■690    ▼a0459
■690    ▼a0615
■690    ▼a0626
■71020▼aUniversity  of  Pennsylvania▼bCommunication.
■7730  ▼tDissertations  Abstracts  International▼g85-03A.
■773    ▼tDissertation  Abstract  International
■790    ▼a0175
■791    ▼aPh.D.
■792    ▼a2022
■793    ▼aEnglish
■85640▼uhttp://www.riss.kr/pdu/ddodLink.do?id=T16933263▼nKERIS▼z이  자료의  원문은  한국교육학술정보원에서  제공합니다.
■980    ▼a202402▼f2024

미리보기

내보내기

chatGPT토론

Ai 추천 관련 도서


    신착도서 더보기
    최근 3년간 통계입니다.

    소장정보

    • 예약
    • 소재불명신고
    • 나의폴더
    • 우선정리요청
    • 비도서대출신청
    • 야간 도서대출신청
    소장자료
    등록번호 청구기호 소장처 대출가능여부 대출정보
    TF07208 전자도서 마이폴더 부재도서신고 비도서대출신청

    * 대출중인 자료에 한하여 예약이 가능합니다. 예약을 원하시면 예약버튼을 클릭하십시오.

    해당 도서를 다른 이용자가 함께 대출한 도서

    관련 인기도서

    로그인 후 이용 가능합니다.