Honors Spotlight
In this episode of Honors Spotlight, host Robin Lee sits down with 2025 MTSU Computer Science graduate Joshua Wheaton to explore the intersection of artificial intelligence, social media, and mental health. Joshua’s Honors thesis, “Using AI to Identify Depression on Social Media,” examines how machine learning models can detect linguistic signals of depression in online posts—particularly on platforms like Reddit, where anonymity often encourages honesty. Together, Robin and Joshua unpack why this research matters, what the data reveals about how people express emotional distress online, and the ethical challenges of using AI to flag potential mental‑health concerns. He walks us through his work with logistic regression, LSTM, and BERT models and the surprising limitations of existing datasets. Then he explores what it would take to build tools that genuinely support early detection. The conversation also looks ahead: How might AI assist clinicians? Could social platforms integrate mental‑health safeguards responsibly? And what does the future hold for technology designed to help people feel seen rather than surveilled? (Intro music by MTSU Music major Elloise Layus.) Thanks for joining us. Be sure to subscribe, leave a review, and share with others. Follow us on social media. @MTSUHonors For more information, visit honors.mtsu.edu [https://honors.mtsu.edu/], or counseling.mtsu.edu. [https://counseling.mtsu.edu]
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