How has the Boeing 737 MAX crisis, and Boeing’s actions more broadly, impacted public trust in aviation safety, and what role does corporate accountability play in restoring confidence?
Project by Polygence alum Rishi

Project's result
This project produced a data centered sentimental analysis exploring how the Boeing 737 MAX crisis affected public trust in aviation safety. Using sentiment analysis on social media posts, it highlights the connection between corporate accountability and efforts to rebuild public confidence.
They started it from zero. Are you ready to level up with us?
Summary
Imagine boarding a plane, unaware that a hidden software system—one you’ve never heard of—could override the pilot and send the aircraft into a nosedive. When Boeing introduced MCAS, it was meant to solve a problem. Instead, it created a deadly one. The truth is that this kind of event happened in the series of accidents involving Boeing 737 MAX airplane, which was found to have MCAS (Maneuvering Characteristics Augmentation System) linked as the main cause of two fatal crashes that killed 346 people. The impact spread widespread concern among the aviation world, raising questions not only about engineering decisions of the aircraft but also about regulatory and corporate responsibilities of Boeing itself. Investigations have since revealed that the crashes were not only failures of technology but failures in accountability and trust. However, there hasn’t been much particular research that has focused on how these failures affected public trust and perceptions of aviation safety, particularly through social media. Using BlueSky’s API, a dataset of 10,455 posts was collected and filtered from all of BlueSky’s posts using Boeing-related hashtags to ensure relevance. VADER sentiment analysis6 was applied to measure polarity scores across the dataset, using standard thresholds to classify positive, neutral, and negative sentiment. To measure public sentiment trends over time, posts from BlueSky dating back to 2021 were analyzed, revealing that average sentiment remained negative, with a mean composite score of –0.43 across the study period and sharp declines following major Boeing-related incidents. The Boeing 737 MAX crisis demonstrates how failures in corporate responsibility and inaccuracies can weaken public trust in aviation safety. This trust can only be rebuilt through better methods of transparency, enhanced regulation and enforcement, and a deepened commitment to accountability to ensure this trust is maintained by the aviation industry.

Jeff
Polygence mentor
PhD Doctor of Philosophy candidate
Subjects
Computer Science, Quantitative
Expertise
Statistical Analysis, including regression analysis, machine learning, and use of R and Python. Statistical analysis in topics such as politics, physics, chemistry, astronomy, public health, and medicine. Biostatistical Analysis, including longitudinal studies and survival analysis
Check out their profile

Rishi
Student
Hello! I’m Rishi Desai, and my research focuses on the Boeing 737 MAX crisis, examining public trust, aviation safety, and corporate accountability. I am deeply interested in exploring the intersections of law, corporate responsibility, and the aviation industry through research. For foreseeable future, I am hoping to study history and political science in university and eventually go to law school to attain my overall goal for my career of being a lawyer in New York.
Graduation Year
2026
Project review
“This project combined my passion for aviation with my interest in law, which I plan to major in and pursue as a career. It also introduced me to data collection and analysis, giving me valuable experience in research methods and how data can be used to explore real-world issues.”
About my mentor
“Jeff is an excellent mentor who patiently guides you through every step of the research process. With his background in data science, he teaches valuable skills in data collection and analysis that can be directly applied to research projects. Any student working with him will gain both confidence and practical experience in conducting rigorous, data-driven research.”
Check out their profile