Document Type

Capstone Open Access

Newsly

Streaming Media

Faculty Supervisor

Harsh Thakkar

Date of Defense

12-2024

Department

Faculty of Applied Science & Technology (FAST)

Program Name

Computer Systems Technology – Software Development and Network Engineering (SDNE)

Description

Misinformation spreads rapidly and has significant consequences, including stock market fluctuations and cybersecurity risks for companies. We aim to combat the spread of fake news with the use of artificial intelligence and machine learning. Our approach is to make our product more accessible by using a Chrome extension. With the use of a modern user-friendly interface, we aim to reduce the impact of fake news. Stack: Python, Django, Hugging Face, Javascript, HTML, CSS. PyTorch, DigitalOcean

Awards

Research Impact Award

Original Publication Citation

Agrawal, C., Sood, A., Jung, H., Nancy J. (2024). Newsly [Unpublished Capstone]. Computer Systems Technology – Software Development and Network Engineering. Sheridan College.

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