@inproceedings{KrieterZerrerPuschmannetal.2024, author = {Krieter, Philipp and Zerrer, Patrick and Puschmann, Cornelius and Geise, Stephanie}, title = {Following Topics Across All Apps and Media Formats: Mobile Keyword Tracking as a Privacy-Friendly Data Source in Mobile Media Research}, series = {UMAP Adjunct '24: Adjunct Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization, Cagliari Italy, July 1 - 4, 2024}, booktitle = {UMAP Adjunct '24: Adjunct Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization, Cagliari Italy, July 1 - 4, 2024}, editor = {Boratto, Ludovico and Gena, Cristina and Marras, Mirko and Germanakos, Panagiotis and Popescus, Elvira}, publisher = {ACM}, address = {New York}, isbn = {979-8-4007-0466-6}, doi = {10.1145/3631700.3664879}, pages = {126 -- 131}, year = {2024}, language = {en} } @article{ZerrerPressmannPuschmannetal.2026, author = {Zerrer, Patrick and Pressmann, Paul and Puschmann, Cornelius and Krieter, Philipp}, title = {Beyond the Black Box: A Multimodal Approach to Understanding In-App Communication}, series = {Medien \& Kommunikationswissenschaft}, volume = {74}, journal = {Medien \& Kommunikationswissenschaft}, number = {1}, publisher = {Nomos Verlag}, issn = {1615-634X}, doi = {10.5771/1615-634X-2026-1-31}, pages = {31 -- 51}, year = {2026}, abstract = {Mobile devices are increasingly central as sources of up-to-date information, making the precise recording of information behavior on these devices more relevant for research. Established methods of automated data collection are reaching their limits when capturing in-app communication, such as political content within social media applications. Based on two case studies, we present two approaches that enable the identification of exposure to relevant content and, to some extent, the collection of in-app content. The first case study focuses on identifying relevant exposure across different apps on a mobile device using app tracking and screen recordings. The second case study focuses on linking exposure to seen content and deriving respective content features to obtain an enriched dataset. We discuss the advantages and limitations of both approaches and present conceptual frameworks for processing and analyzing such data.}, language = {en} }