東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁 到查詢結果 [ null ]

切換: 標籤 | MARC模式 | ISBD

FindBook

Google Book

Amazon

博客來

Subcultures of Music Listening: Motivations and Underlying Messages in Music Genres.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Subcultures of Music Listening: Motivations and Underlying Messages in Music Genres./
作者:	De la Rosa, Karen.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2022,
面頁冊數:	128 p.
附註:	Source: Dissertations Abstracts International, Volume: 84-01, Section: B.
Contained By:	Dissertations Abstracts International84-01B.
標題:	Music. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=29257858
ISBN:	9798837528576

Subcultures of Music Listening: Motivations and Underlying Messages in Music Genres.
De la Rosa, Karen.

Subcultures of Music Listening: Motivations and Underlying Messages in Music Genres. - Ann Arbor : ProQuest Dissertations & Theses, 2022 - 128 p.

Source: Dissertations Abstracts International, Volume: 84-01, Section: B.

Thesis (Ph.D.)--The University of Arizona, 2022.

This item must not be sold to any third party vendors.

Music subcultures have traditionally been linked to specific music genres (e.g., punk, hip-hop, metal) (Slobin, 1993) and have revolved around conventional modes of affiliation such as fashions, music collection, cultural influences, speech patterns, class, and mannerisms, among other factors (Hebdige, 1979; Thornton, 1996). However, modern technologies and media consumption trends seem to be re-shaping music listening and participation behaviors as culturally embedded experiences (Bennett, 2011; Nwalozie, 2015). Moreover, the increasing access to different kinds of music among different audiences and the growing number of listening features available on virtual platforms are facilitating the emergence of online-based music subcultures through unconventional modes of affiliation (Gildart et al., 2020; King, 2007; Reia, 2014; Slobin, 1993; Strubel et al., 2013; Williams, 2006). Despite these observations, research has yet to fully explore the nature of online-based music subcultures, especially when addressing subcultural levels of affiliation and descriptors linked to specific music genres. Drawing on the works of Bennett (2011), this dissertation project proposes a model that could better explain online-based music subcultures. In particular, the project focused on music listening as a discrete activity in this context. With this objective in mind, a series of studies and empirical assessments were conducted in order to examine four elements that help shape music listening as a culturally embedded experience, based on the works referenced in this project (Bennett, 2011). The four proposed elements are: 1) underlying messages in the lyrics of the music, 2) motivations for listening to specific types of music, 3) distinctive audio features in the music, and 4) emotional references in the music. Three studies were performed in order to explore these four elements within the context of online subcultures and culturally embedded experiences. This project will make valuable contributions to the fields of music media studies, arts research, and data science by proposing a conceptual and methodological framework to better assess online-based music subcultures.

ISBN: 9798837528576Subjects--Topical Terms:

516178
Music.
Subjects--Index Terms:

Data science

Subcultures of Music Listening: Motivations and Underlying Messages in Music Genres.
LDR:03344nmm a2200373 4500 001 2352872
005 20221205085629.5
008 241004s2022 ||||||||||||||||| ||eng d
020 $a 9798837528576
035 $a (MiAaPQ)AAI29257858
035 $a AAI29257858
040 $a MiAaPQ $c MiAaPQ
100 1 $a De la Rosa, Karen. $3 3692534
245 1 0 $a Subcultures of Music Listening: Motivations and Underlying Messages in Music Genres.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2022
300 $a 128 p.
500 $a Source: Dissertations Abstracts International, Volume: 84-01, Section: B.
500 $a Advisor: Williams, Matthew M.
502 $a Thesis (Ph.D.)--The University of Arizona, 2022.
506 $a This item must not be sold to any third party vendors.
520 $a Music subcultures have traditionally been linked to specific music genres (e.g., punk, hip-hop, metal) (Slobin, 1993) and have revolved around conventional modes of affiliation such as fashions, music collection, cultural influences, speech patterns, class, and mannerisms, among other factors (Hebdige, 1979; Thornton, 1996). However, modern technologies and media consumption trends seem to be re-shaping music listening and participation behaviors as culturally embedded experiences (Bennett, 2011; Nwalozie, 2015). Moreover, the increasing access to different kinds of music among different audiences and the growing number of listening features available on virtual platforms are facilitating the emergence of online-based music subcultures through unconventional modes of affiliation (Gildart et al., 2020; King, 2007; Reia, 2014; Slobin, 1993; Strubel et al., 2013; Williams, 2006). Despite these observations, research has yet to fully explore the nature of online-based music subcultures, especially when addressing subcultural levels of affiliation and descriptors linked to specific music genres. Drawing on the works of Bennett (2011), this dissertation project proposes a model that could better explain online-based music subcultures. In particular, the project focused on music listening as a discrete activity in this context. With this objective in mind, a series of studies and empirical assessments were conducted in order to examine four elements that help shape music listening as a culturally embedded experience, based on the works referenced in this project (Bennett, 2011). The four proposed elements are: 1) underlying messages in the lyrics of the music, 2) motivations for listening to specific types of music, 3) distinctive audio features in the music, and 4) emotional references in the music. Three studies were performed in order to explore these four elements within the context of online subcultures and culturally embedded experiences. This project will make valuable contributions to the fields of music media studies, arts research, and data science by proposing a conceptual and methodological framework to better assess online-based music subcultures.
590 $a School code: 0009.
650 4 $a Music. $3 516178
650 4 $a Behavioral psychology. $3 2122788
650 4 $a Quantitative psychology. $3 2144748
650 4 $a Behavioral sciences. $3 529833
653 $a Data science
653 $a Media studies
653 $a Music listening
653 $a Subcultures
690 $a 0413
690 $a 0384
690 $a 0632
690 $a 0602
710 2 $a The University of Arizona. $b Applied Ethnomusicology and Intercultural Arts Research. $3 3692535
773 0 $t Dissertations Abstracts International $g 84-01B.
790 $a 0009
791 $a Ph.D.
792 $a 2022
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=29257858