8 papers
Analysis of Speaker Verification Performance Trade-offs with Neural Audio Codec Transmission
Nirmalya Mallick Thakur, Jia Qi Yip, Eng Siong Chng
Neural audio codecs (NACs) have made significant advancements in recent years and are rapidly being adopted in many audio processing pipelines. However, they can introduce audio di…
Content and Engagement Trends in COVID-19 YouTube Videos: Evidence from the Late Pandemic
Nirmalya Thakur, Madeline D Hartel, Lane Michael Boden +2
This work investigated about 10,000 COVID-19-related YouTube videos published between January 2023 and October 2024 to evaluate how temporal, lexical, linguistic, and structural fa…
Dynamics of COVID-19 Misinformation: An Analysis of Conspiracy Theories, Fake Remedies, and False Reports
Nirmalya Thakur, Mingchen Shao, Victoria Knieling +3
This paper makes four scientific contributions to the area of misinformation detection and analysis on digital platforms, with a specific focus on investigating how conspiracy theo…
Emoji Retrieval from Gibberish or Garbled Social Media Text: A Novel Methodology and A Case Study
Shuqi Cui, Nirmalya Thakur, Audrey Poon
Emojis are widely used across social media platforms but are often lost in noisy or garbled text, posing challenges for data analysis and machine learning. Conventional preprocessi…
COVID-19 on YouTube: A Data-Driven Analysis of Sentiment, Toxicity, and Content Recommendations
Vanessa Su, Nirmalya Thakur
This study presents a data-driven analysis of COVID-19 discourse on YouTube, examining the sentiment, toxicity, and thematic patterns of video content published between January 202…
Quantifying Public Response to COVID-19 Events: Introducing the Community Sentiment and Engagement Index
Nirmalya Thakur, Kesha A. Patel, Audrey Poon +4
This study introduces the Community Sentiment and Engagement Index (CSEI), developed to capture nuanced public sentiment and engagement variations on social media, particularly in…