Global Framing of Claudia Sheinbaum’s Historic Election: A Media Analysis

A comparative media analysis of 40 international news articles to identify recurring themes and differences in how media organizations around the world portrayed Mexico’s 2024 presidential election. The study explored how national perspectives, political relationships, and editorial framing influence the presentation of current events and shape audience understanding.

Year

2024

Role

Research

Media Analysis

Methods

Quantitative Content Analysis

Thematic Coding

Comparative Media Analysis

Data Visualization

Scope

40 news articles

Phase 1

I utilized extensive research to identify the most effective methods of reducing cognitive load when gathering user feedback.

I began with a competitor analysis of feedback flows and scoured academic journals in order to ideate a feedback flow prioritizing usability and enhanced customer experience.

Phase 2: Wireframes

I began the ideation process by conceptualizing a feedback request pathway backed by research.

I took a pen to paper and idealized some physical wireframes.

Then, I rendered them digitally.

I exhausted many possible options for the design of the feedback request, but I was unsure of which design was most optimal for my goal. I learned that I needed to revisit early stages of my research process, which pointed me towards taking a step back and decluttering my design.

Phase 3: Mockups

Using the foundations established from prior steps in the design process, I refined the wireframes and progressed to mockups. I worked within the parameters of two existing design systems, ensuring that the user flow could be utilized across both platforms of Cosmic Rewards and AdGem.

Appraisal Feedback Flow

Constructive Feedback Flow

Major Takeaways

This project was essential in for the routine incorporation of primary consumer data for AdAction. I learned that cognitive load is reduced for users when designs contain simple and concise content for feedback requests, producing more constructive (and often more positive) feedback. Ultimately, feedback is foundational to producing the most favorable user experience and allows for the contribution of user opinion to the improvement of the platform.