Dr. Adita Kulkarni and Matthew Morgan had the following peer reviewed papers accepted for publication and presentation:
”Platform-agnostic Model to Detect Sinophobia on Social Media”
This paper has been accepted for publication and will be presented at the ACM Southeast Conference (ACMSE) 2023 in April.
Abstract: Since the outbreak of COVID-19, hate against Chinese or Sinophobia has increased significantly in real world as well as on online platforms making it necessary to design ways to combat it. In this work, we design a platform-agnostic model to detect Sinophobic content on social media websites automatically. We use pre-trained word embeddings with machine learning classifiers to detect Sinophobia on three platforms — Parler, Reddit, and Twitter.
“Analyzing User Communication on Mainstream and Alternative Social Media Platforms using Natural Language Processing”
This paper has been accepted for publication and will be presented at the International Conference on Human-computer Interaction (HCII) 2023 in July
Abstract: Mainstream social media such as Twitter and Facebook place restrictions on the content being shared by users because of their moderation policies. Alternative platforms such as 4chan and Gab have gained popularity as they allow uncensored content sharing. In this work, we study the user communication on a mainstream platform (Twitter) and compare it with the communication on an alternative platform (Parler) using natural language processing techniques.
If you are interested in learning more about the above research studies, please reach out to Dr. Kulkarni at akulkarni@brockport.edu