Automated Tracking Approaches for Studying Online Media Use: A Critical Review and Recommendations

Christner, Clara; Urman, Aleksandra; Adam, Silke; Maier, Michaela (2021). Automated Tracking Approaches for Studying Online Media Use: A Critical Review and Recommendations. Communication methods and measures, pp. 1-17. Taylor & Francis 10.1080/19312458.2021.1907841

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With the increasing importance of online information environments, researchers have started investigating direct measures of online media use, such as online tracking. Most existing studies using tracking data have so far relied on commercial solutions, but these have limitations in terms of their costliness, replicability, and applicability to certain research questions. Hence, different research groups are developing their own tracking solutions for academic purposes. In this paper, we provide a critical review and classification of the existing approaches, apt to guide research decisions on the appropriate tracking approach and tool. First, we develop criteria to distinguish different user-centric desktop and mobile tracking approaches and tools (types of information, technical complexity, privacy implementation, user experience, and availability). Second, we describe different tools and approaches – separately for desktop and mobile tracking – with concrete examples and evaluate them using the aforementioned criteria. Finally, we discuss how different mobile and desktop tracking solutions can complement each other and provide recommendations for future research.

Item Type:

Journal Article (Review Article)

Division/Institute:

03 Faculty of Business, Economics and Social Sciences > Social Sciences > Institute of Communication and Media Studies (ICMB)

UniBE Contributor:

Urman, Aleksandra and Adam, Silke

Subjects:

000 Computer science, knowledge & systems > 020 Library & information sciences
000 Computer science, knowledge & systems > 070 News media, journalism & publishing
300 Social sciences, sociology & anthropology
300 Social sciences, sociology & anthropology > 320 Political science
300 Social sciences, sociology & anthropology > 380 Commerce, communications & transportation
600 Technology

ISSN:

1931-2458

Publisher:

Taylor & Francis

Funders:

[42] Schweizerischer Nationalfonds ; [UNSPECIFIED] Deutsche Forschungsgemeinschaft

Language:

English

Submitter:

Aleksandra Urman

Date Deposited:

19 Apr 2021 15:27

Last Modified:

19 Apr 2021 15:27

Publisher DOI:

10.1080/19312458.2021.1907841

BORIS DOI:

10.48350/155849

URI:

https://boris.unibe.ch/id/eprint/155849

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