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More information about me

  • I thrive when working on multiple projects in parallel

  • I design and implement survey, experimental, and longitudinal research designs 

  • One of my strengths is pinpointing and implementing the most effective methods to tackle a given problem 

  • I am also fluent in R (ggplot, tidyverse, etc.; 7 years of experience), for data structuring, analysis and visualization

  • I have used linear and categorical data analyses including multivariate regression, ANOVA, and mediation models, longitudinal & nested data analysis (multilevel models), psychometric analysis and inter-rater statistics, and pattern and trend identification.

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Takeaway: Corrections from ingroup politicians (left panel) and neutral organizations (middle panel) were slightly more effective than corrections from outgroup politicians (right panel). This can be seen as the decreasing slopes for these corrector sources are steeper, indicating a greater reduction in belief in the initial misinformation as a result of the correction. 

Takeaway: Although dogmatism is higher in conservatives (as previous studies have found) it is also higher in both more politically extreme conservatives and more extreme liberals.

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Paper in Progress

Takeaway: In this meta-analysis of a mediation model, we found that, across four longitudinal datasets, that more social media use was linked with higher trust in science though using more mainstream media. 

Takeaway: In this paper, I propose a framework to address how Selection, Platform Design, Incentives, and Real-World Context (the SPIR framework) might explain social media’s role in exacerbating polarization and intergroup conflict.

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