Meet our amazing team behind the project and each teammate’s contributions!
Celestia is a third year Sociology major and Digital Humanities minor. She is a tech-driven marketer who thrives at the intersection of strategy, creativity, and analytics. In this project, she was primarily responsible for ensuring the accuracy of the calculation for visualizations and analyzing the sentiment of ChatGPT within the marketing industry in the Analysis & Findings section.
Maggie is a third year Computer Science major. She is an aspiring software engineer with hopes to apply her technical knowledge to real world applications in order to promote social good. In this project, she was primarily responsible for helping the team with filtering data and analyzing the sentiment of ChatGPT within the technology industry in the Analysis & Findings section.
Faizah is a fourth year Cognitive Science major and Digital Humanities minor. She is an aspiring data analyst who is passionate about ethically harnessing the power of data for social good. In this project, she was primarily responsible for guiding the research goals of the project and analyzing the sentiment of ChatGPT within the education industry in the Analysis & Findings section.
Haryn is a second year Cognitive Science major with a specialization in computing and Digital Humanities minor. She is an aspiring UX/UI researcher and designer with a passion for data. In this project, she was primarily responsible for designing and organizing the website, writing the About and Data sections as well as contributing to the Implications section, and analyzing ChatGPT’s general sentiments in the Analysis & Findings section.
Hoi Kei is a fourth year Communication major and Digital Humanities minor. She is interested in social media data analytics and pursuing a career in Marketing. In this project, she was primarily responsible for developing and overseeing narratives throughout the project, ensuring the coherence of the project, and analyzing the sentiment of ChatGPT and employment in the Analysis & Findings section.
ACKNOWLEDGEMENTS
We would like to thank Professor Ashley Sanders and our TA, Grace Skalinder, for providing helpful guidance and thoughtful feedback throughout the project and sharing invaluable knowledge in the field of social media data analytics. Thank you so much! 🙂
