7 papers
Toward Generalized Detection of Synthetic Media: Limitations, Challenges, and the Path to Multimodal Solutions
Redwan Hussain, Mizanur Rahman, Prithwiraj Bhattacharjee
Artificial intelligence (AI) in media has advanced rapidly over the last decade. The introduction of Generative Adversarial Networks (GANs) improved the quality of photorealistic i…
A Comprehensive Review of Recommender Systems: Transitioning from Theory to Practice
Shaina Raza, Mizanur Rahman, Safiullah Kamawal +4
Recommender Systems (RS) play an integral role in enhancing user experiences by providing personalized item suggestions. This survey reviews the progress in RS inclusively from 201…
BEADs: Bias Evaluation Across Domains
Shaina Raza, Mizanur Rahman, Michael R. Zhang
Recent advances in large language models (LLMs) have substantially improved natural language processing (NLP) applications. However, these models often inherit and amplify biases p…
Review-based Recommender Systems: A Survey of Approaches, Challenges and Future Perspectives
Emrul Hasan, Mizanur Rahman, Chen Ding +2
Recommender systems play a pivotal role in helping users navigate an overwhelming selection of products and services. On online platforms, users have the opportunity to share feedb…
FakeWatch: A Framework for Detecting Fake News to Ensure Credible Elections
Shaina Raza, Tahniat Khan, Veronica Chatrath +3
In today's technologically driven world, the rapid spread of fake news, particularly during critical events like elections, poses a growing threat to the integrity of information.…
Analyzing the Impact of Fake News on the Anticipated Outcome of the 2024 Election Ahead of Time
Shaina Raza, Mizanur Rahman, Shardul Ghuge
Despite increasing awareness and research around fake news, there is still a significant need for datasets that specifically target racial slurs and biases within North American po…