Tag: Masters Thesis

Engagement, Exposure, Exploitation: Algorithmic Persuasion and Explicit Content

In this honors thesis, I leveraged longitudinal survey and screenome data from the Human Screenome Project (HSP) in a mixed methods analysis of user behavior and cognitive-affective states related to viewing and engaging with unmoderated graphic explicit content and qualitative case studies of two participants' screenshot sequences.

Goal-Directed or Algorithmically Captured? Analyzing Attention in the Smartphone Era

While researchers are studying the relationship between smartphone and media use and attention, existing studies are limited by reliance on cross-sectional surveys, self-reports, and experimental designs that fail to capture naturalistic, moment-to-moment behavior or the qualitative nature of digital content. In this paper, I address these gaps using a mixed-methods approach using Screenome data from the Human Screenome Project to study smartphone use and attention...

Wellness Behavior On and Off Screen: Affective Impacts of Engagement with Wellness Behavior and Media

Although less is known about the impact of digital behaviors, they could be another accessible avenue for promoting well-being. This study fills this gap in research by leveraging intensive longitudinal survey data collected fortnightly from adults over 52 weeks and passive screenome data collected through screenshots over the course of a year from the Human Screenome Project...

“But Where Are You Really From?” The Cost of Movement: A Longitudinal Analysis of Migrant Life Satisfaction and Health Outcomes in Germany

Applying linear growth models to longitudinal data from the German Socio-Economic Panel (SOEP), I examine changes in life satisfaction, health satisfaction, and self-reported health limitations for N = 99,433 participants (Mage = 39 , SD = 17; 50% female) over a 37-year period. The sample includes individuals with no migration background (n = 64,954), direct migration background (n = 29,016), and indirect migration background (n = 5,463).

Congratulations to the Graduating Members of the Change Lab!

Congratulations to Charles Shi, Julia Fischer, Parker Daley, Rebecca Trockel, Sam Prieto Serrano, and Tristan Peng!

Shockvertising: The Efficacy of Graphic Content on Social Media Campaigns for Animal Rights Non-Profits

While shock advertising is omnipresent in our media landscape, the research on its applications for non-profit organizations is minimal. This study evaluated the efficacy of short-form video content in social media campaigns based on shock level, with the goal of assessing and informing advertising tactics for non-profit organizations benefiting animal rights causes...

Storms in the Screenome: An Analysis of Digital Information Acquisition During Extreme Weather Events

As the amount of time people are spending on their smartphones also increases, the “Weather Information Landscape” is shifting away from “traditional” communication sources like radio and television toward digital media, including social media and smartphone-enabled weather communication (Krocak et al., 2024). However, the content people see – and the sources of that content – in this new landscape are not yet well accessible or understood...

Evaluation and Comparison of Statistical Models for Intensive Longitudinal Data

Recent advances in machine learning, data availability, and computational resources have given rise to complex nonlinear models of psychological processes. Though theory can help guide model selection, there is no widely agreed-upon framework for identifying models that are appropriately complex and accurate for examining the phenomenon of interest...