This

project delves into the methodological challenges and analytical potentials of

smartphone-based intensive longitudinal data collection designs for research on

the development of political attitudes over short periods of time. For this

purpose, a data collection during the election campaign of the 2025 Federal Election in Germany serves as a case

study. Traditional survey methods face methodological challenges in capturing

respondents' information consumption, media exposure, and social network

discussions regarding politics. In contrast, smartphone-based data collections

using intensive longitudinal designs offer a promising solution, allowing for

real-time surveying and collecting novel data types to analyze the dynamics of

information exposure and attitude formation. However, the design and

implementation of such smartphone-based studies are still novel to the fields

of public opinion research, political science, and political psychology. The

main objectives of this project include systematically investigating the

implications of methodological variations in the implementation of a

smartphone-based intensive longitudinal study for participant recruitment and retention,

participants’ survey experience, and data quality, as well as assessing the

analytic potential of enhancing survey data with new data formats resulting

from app-based data collection to describe and explain dynamic developments

during electoral campaigns. The project belongs to the DFG Infrastructure

Priority Programme “New

Data Spaces for the Social Sciences” (SPP 2431).