Spotivey: A web application for simplified use of the Spotify application programming interface in online questionnaire studies

被引:0
作者
Radke, Markus [1 ]
Lepa, Steffen [1 ]
Ladleif, Matthias [1 ]
机构
[1] Tech Univ Berlin, Audio Commun Grp, Berlin, Germany
关键词
Everyday music listening; Spotify; music streaming; research software; online surveys; digital behavioral traces; digital data donation; open APIs; MUSIC;
D O I
10.1177/20501579231220857
中图分类号
G2 [信息与知识传播];
学科分类号
05 ; 0503 ;
摘要
Everyday music listening has become an important research topic during the last decades. However, self-reporting through questionnaire surveys, the received approach for studying individual music consumption, presents methodological challenges. The rise of mobile music streaming and open application programming interfaces introduces new opportunities to address these productively. Spotivey is a free research software that integrates music streaming provider API functionalities into online surveys and in this way allows to connect digital behavioral traces with self-reported questionnaire data. The current version effortlessly retrieves comprehensive information about respondents' past music listening on Spotify while they fill an online survey. Through an informed consent procedure, General Date Protection Regulation compliance for this new form of digital data donation is ensured. Methodical challenges include participant dropout and the need for robust statistical analysis methods. Planned future enhancements encompass expanding application programming interfaces support, enriching retrieved data with information from other music databases, and compatibility with diverse online survey design systems.
引用
收藏
页码:441 / 445
页数:5
相关论文
共 10 条
  • [1] Music lovers - Taste as performance
    Hennion, A
    [J]. THEORY CULTURE & SOCIETY, 2001, 18 (05) : 1 - +
  • [2] Hess C., 2022, MEDIA PERSPEKTIVEN, V33, P414
  • [3] Findings From a Prospective Randomized Controlled Trial of an Individualized Music Listening Program for Persons With Dementia
    Kwak, Jung
    Anderson, Keith
    O'Connell Valuch, Katharine
    [J]. JOURNAL OF APPLIED GERONTOLOGY, 2020, 39 (06) : 567 - 575
  • [4] Ladleif M., 2023, PUBLIZISTIK, DOI [10.1007/s11616-023-00790-y, DOI 10.1007/S11616-023-00790-Y]
  • [5] Popular Music as Entertainment Communication: How Perceived Semantic Expression Explains Liking of Previously Unknown Music
    Lepa, Steffen
    Steffens, Jochen
    Herzog, Martin
    Egermann, Hauke
    [J]. MEDIA AND COMMUNICATION, 2020, 8 (03): : 191 - 204
  • [6] Ohme J, 2022, PATTERNS, V3
  • [7] Do the shuffle: Exploring reasons for music listening through shuffled play
    Sanfilippo, Katie Rose M.
    Spiro, Neta
    Molina-Solana, Miguel
    Lamont, Alexandra
    [J]. PLOS ONE, 2020, 15 (02):
  • [8] Schramm H., 2019, HDB MUSIC MEDIA INTE, DOI [10.1007/978-3-658-21899-7, DOI 10.1007/978-3-658-21899-7]
  • [9] Linking surveys and digital trace data: Insights from two studies on determinants of data sharing behaviour
    Silber, Henning
    Breuer, Johannes
    Beuthner, Christoph
    Gummer, Tobias
    Keusch, Florian
    Siegers, Pascal
    Stier, Sebastian
    Weiss, Bernd
    [J]. JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES A-STATISTICS IN SOCIETY, 2022, 185 : S387 - S407
  • [10] Integrating Survey Data and Digital Trace Data: Key Issues in Developing an Emerging Field
    Stier, Sebastian
    Breuer, Johannes
    Siegers, Pascal
    Thorson, Kjerstin
    [J]. SOCIAL SCIENCE COMPUTER REVIEW, 2020, 38 (05) : 503 - 516