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

Christner, Clara; Urman, Aleksandra; Adam, Silke; Maier, Michaela (2022). Automated Tracking Approaches for Studying Online Media Use: A Critical Review and Recommendations. Communication Methods and Measures, 16(2):79-95.

Abstract

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.

Additional indexing

Item Type:Journal Article, refereed, original work
Communities & Collections:03 Faculty of Economics > Department of Informatics
Dewey Decimal Classification:000 Computer science, knowledge & systems
Scopus Subject Areas:Social Sciences & Humanities > Communication
Uncontrolled Keywords:Communication
Scope:Discipline-based scholarship (basic research)
Language:English
Date:3 April 2022
Deposited On:03 May 2021 08:44
Last Modified:24 Mar 2025 02:40
Publisher:Taylor & Francis
ISSN:1931-2458
OA Status:Closed
Publisher DOI:https://doi.org/10.1080/19312458.2021.1907841
Other Identification Number:merlin-id:21042
Project Information:
  • Funder: SNSF
  • Grant ID: 10001CL_182630
  • Project Title: Reciprocal relations between populist radical-right attitudes and political information behavior: A longitudinal study of attitude development in high-choice information environments.

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