Problem Description

Generative AI is increasingly embedded in remote work practices, particularly in remote meetings, where tools such as AI-generated summaries, meeting assistants, real-time transcription, and monitoring features are becoming commonplace. While these systems promise efficiency and reduced cognitive effort, they also raise concerns related to employee well-being, including stress, surveillance, cognitive load, and loss of autonomy.

Public discourse on social media platforms reflects these tensions. Employees, managers, and technology developers openly discuss their experiences, expectations, and concerns regarding generative AI in remote meetings. This discourse represents a valuable source of real-world data for understanding how generative AI is perceived and how it is believed to affect well-being in everyday remote collaboration.

However, systematically collecting, exploring, and analyzing such large-scale, unstructured data is labor-intensive and methodologically demanding. There is a need for interactive, AI-supported tools that enable researchers to efficiently explore public discourse, identify recurring themes, and relate them to established theories of work and well-being.

This thesis addresses this gap by combining data collection, interactive visualization, and AI-based analysis to examine public discourse on generative AI in remote meetings and its implications for well-being.

Research Questions

1. How can an interactive, AI-supported website be designed to facilitate the analysis of public discourse on generative AI in remote meetings?
2. How is the impact of generative AI on well-being in remote meetings discussed and framed in public online discourse?

(Additional research questions may be derived depending on thesis type and theoretical focus.)

Goal of Thesis

The goal of this thesis is to design, implement, and demonstrate an interactive website that supports the collection, visualization, and analysis of publicly available social media data related to generative AI in remote meetings and well-being.

Bachelor’s / Master’s Thesis

• Conduct a systematic literature review on generative AI, remote meetings, and workplace well-being, as well as existing data analyses in this field
• Crawl a large dataset of publicly available social media discussions (e.g., Reddit, TikTok, X, LinkedIn)
• Design and implement an interactive web-based interface to explore and visualize the dataset (e.g., integration of a language model to identify themes in the data to enhance explainability)
• Thematic analysis of the content based on 2-3 research questions using qualitative research methods and established social science theories

If conducted as a Practical Seminar, the scope does not include a systematic literature review or an in-depth theoretical thematic analysis. In this case, the focus lies on data crawling, system design, implementation, and the application of AI-based methods, with an emphasis on technical feasibility.

Requirements

• Interest in generative AI, remote work, and digital collaboration
• Basic programming skills
• Experience with data analysis, text mining, or visualization is advantageous but not mandatory
• Strong time management and communication skills and proficiency in English.