FairUDT: Fairness-aware Uplift Decision Trees - Anam Zahid; Abdur Rehman Ali; Shaina Raza; Rai Shahnawaz; Faisal Kamiran; Asim Karim (Knowl. Based Syst., 2025)

RESPECT: A framework for promoting inclusive and respectful conversations in online communications - Shaina Raza; Abdullah Yahya Mohammed Muaad; Emrul Hasan; Muskan Garg; Zainab Al-Zanbouri; Syed Raza Bashir (Nat. Lang. Process. J., 2025)

EQUATOR: A Deterministic Framework for Evaluating LLM Reasoning with Open-Ended Questions. # v1.0.0-beta - Raymond Bernard; Shaina Raza; Subhabrata Das; Rahul Murugan (CoRR, 2025)

Academic Case Reports Lack Diversity: Assessing the Presence and Diversity of Sociodemographic and Behavioral Factors related to Post COVID-19 Condition - Juan Andres Medina Florez; Shaina Raza; Rashida Lynn; Zahra Shakeri; Brendan T. Smith; Elham Dolatabadi (CoRR, 2025)

Image, Text, and Speech Data Augmentation using Multimodal LLMs for Deep Learning: A Survey - Ranjan Sapkota; Shaina Raza; Maged Shoman; Paudel Achyut; Manoj Karkee (CoRR, 2025)

FairUDT: Fairness-aware Uplift Decision Trees - Anam Zahid; Abdur Rehman; Shaina Raza; Rai Shahnawaz; Faisal Kamiran; Asim Karim (CoRR, 2025)

Perceived Confidence Scoring for Data Annotation with Zero-Shot LLMs - Sina Salimian; Gias Uddin; Most Husne Jahan; Shaina Raza (CoRR, 2025)

Who is Responsible? The Data, Models, Users or Regulations? Responsible Generative AI for a Sustainable Future - Shaina Raza; Rizwan Qureshi; Anam Zahid; Joseph Fioresi; Ferhat Sadak; Muhammad Saeed; Ranjan Sapkota; Aditya Jain; Anas Zafar; Muneeb Ul Hassan; Aizan Zafar; Hasan Maqbool; et al. (CoRR, 2025)

VLDBench: Vision Language Models Disinformation Detection Benchmark - Shaina Raza; Ashmal Vayani; Aditya Jain; Aravind Narayanan; Vahid Reza Khazaie; Syed Raza Bashir; Elham Dolatabadi; Gias Uddin; Christos Emmanouilidis; Rizwan Qureshi; Mubarak Shah (CoRR, 2025)

Comprehensive Analysis of Transparency and Accessibility of ChatGPT, DeepSeek, And other SoTA Large Language Models - Ranjan Sapkota; Shaina Raza; Manoj Karkee (CoRR, 2025)

FairSense-AI: Responsible AI Meets Sustainability - Shaina Raza; Mukund Sayeeganesh Chettiar; Matin Yousefabadi; Tahniat Khan; Marcelo Lotif (CoRR, 2025)

Position: Beyond Assistance - Reimagining LLMs as Ethical and Adaptive Co-Creators in Mental Health Care - Abeer Badawi; Md. Tahmid Rahman Laskar; Jimmy Xiangji Huang; Shaina Raza; Elham Dolatabadi (CoRR, 2025)

Exploring Bias and Prediction Metrics to Characterise the Fairness of Machine Learning for Equity-Centered Public Health Decision-Making: A Narrative Review - Shaina Raza; Arash Shaban-Nejad; Elham Dolatabadi; Hiroshi Mamiya (IEEE Access, 2024)

Bias Reduction News Recommendation System - Shaina Raza (Digit., 2024)

Nbias: A natural language processing framework for BIAS identification in text - Shaina Raza; Muskan Garg; Deepak John Reji; Syed Raza Bashir; Chen Ding (Expert Syst. Appl., 2024)

Dbias: detecting biases and ensuring fairness in news articles - Shaina Raza; Deepak John Reji; Chen Ding (Int. J. Data Sci. Anal., 2024)

An Intelligent COVID-19-Related Arabic Text Detection Framework Based on Transfer Learning Using Context Representation - Abdullah Yahya Mohammed Muaad; Shaina Raza; Md Belal Bin Heyat; Amerah A. Alabrah; Hanumanthappa J (Int. J. Intell. Syst., 2024)

MultiWD: Multi-label wellness dimensions in social media posts - Muskan Garg; Xingyi Liu; MSVPJ Sathvik; Shaina Raza; Sunghwan Sohn (J. Biomed. Informatics, 2024)

HarmonyNet: Navigating hate speech detection - Shaina Raza; Veronica Chatrath (Nat. Lang. Process. J., 2024)

FakeWatch[inline-graphic not available: see fulltext]: a framework for detecting fake news to ensure credible elections - Shaina Raza; Tahniat Khan; Veronica Chatrath; Drai Paulen-Patterson; Mizanur Rahman; Oluwanifemi Bamgbose (Soc. Netw. Anal. Min., 2024)

PL-NCC: a novel approach for fake news detection through data augmentation - Keshopan Arunthavachelvan; Shaina Raza; Chen (Cherie) Ding; Emrul Hasan (Soc. Netw. Anal. Min., 2024)

Improving Clinical Decision Making With a Two-Stage Recommender System - Shaina Raza; Chen Ding (IEEE ACM Trans. Comput. Biol. Bioinform., 2024)

Unlocking Bias Detection: Leveraging Transformer-Based Models for Content Analysis - Shaina Raza; Oluwanifemi Bamgbose; Veronica Chatrath; Shardul Ghuge; Yan Sidyakin; Abdullah Yahya Mohammed Muaad (IEEE Trans. Comput. Soc. Syst., 2024)

A deep neural network approach for fake news detection using linguistic and psychological features - Keshopan Arunthavachelvan; Shaina Raza; Chen Ding (User Model. User Adapt. Interact., 2024)

Dataset Annotation and Model Building for Identifying Biases in News Narratives - Shaina Raza; Mizanur Rahman; Shardul Ghuge (Proceedings of Text2Story - Seventh Workshop on Narrative Extraction From Texts held in conjunction with the 46th European Conference on Information Retrieval (ECIR 2024), Glasgow, Scotland, UK, March 24, 2024, 2024)

Equity in Healthcare: Analyzing Disparities in Machine Learning Predictions of Diabetic Patient Readmissions - Zainab Al-Zanbouri; Gauri Sharma; Shaina Raza (12th IEEE International Conference on Healthcare Informatics, ICHI 2024, Orlando, FL, USA, June 3-6, 2024, 2024)

Reliability Analysis of Psychological Concept Extraction and Classification in User-Penned Text - Muskan Garg; MSVPJ Sathvik; Shaina Raza; Amrit Chadha; Sunghwan Sohn (Proceedings of the Eighteenth International AAAI Conference on Web and Social Media, ICWSM 2024, Buffalo, New York, USA, June 3-6, 2024, 2024)

MBIAS: Mitigating Bias in Large Language Models While Retaining Context - Shaina Raza; Ananya Raval; Veronica Chatrath (Proceedings of the 14th Workshop on Computational Approaches to Subjectivity, Sentiment, & Social Media Analysis, WASSA 2024, Bangkok, Thailand, August 15, 2024, 2024)

Reliability Analysis of Psychological Concept Extraction and Classification in User-penned Text - Muskan Garg; MSVPJ Sathvik; Amrit Chadha; Shaina Raza; Sunghwan Sohn (CoRR, 2024)

FAIR Enough: How Can We Develop and Assess a FAIR-Compliant Dataset for Large Language Models' Training? - Shaina Raza; Shardul Ghuge; Chen Ding; Deval Pandya (CoRR, 2024)

Progress in Privacy Protection: A Review of Privacy Preserving Techniques in Recommender Systems, Edge Computing, and Cloud Computing - Syed Raza Bashir; Shaina Raza; Vojislav B. Misic (CoRR, 2024)

FakeWatch: A Framework for Detecting Fake News to Ensure Credible Elections - Shaina Raza; Tahniat Khan; Drai Paulen-Patterson; Veronica Chatrath; Mizanur Rahman; Oluwanifemi Bamgbose (CoRR, 2024)

Equity in Healthcare: Analyzing Disparities in Machine Learning Predictions of Diabetic Patient Readmissions - Zainab Al-Zanbouri; Gauri Sharma; Shaina Raza (CoRR, 2024)

Developing Safe and Responsible Large Language Models - A Comprehensive Framework - Shaina Raza; Oluwanifemi Bamgbose; Shardul Ghuge; Fatemeh Tavakoli; Deepak John Reji (CoRR, 2024)

Review-based Recommender Systems: A Survey of Approaches, Challenges and Future Perspectives - Emrul Hasan; Mizanur Rahman; Chen Ding; Jimmy Xiangji Huang; Shaina Raza (CoRR, 2024)

MBIAS: Mitigating Bias in Large Language Models While Retaining Context - Shaina Raza; Ananya Raval; Veronica Chatrath (CoRR, 2024)

BEADs: Bias Evaluation Across Domains - Shaina Raza; Mizanur Rahman; Michael R. Zhang (CoRR, 2024)

Practical Guide for Causal Pathways and Sub-group Disparity Analysis - Farnaz Kohankhaki; Shaina Raza; Oluwanifemi Bamgbose; Deval Pandya; Elham Dolatabadi (CoRR, 2024)

A Comprehensive Review of Recommender Systems: Transitioning from Theory to Practice - Shaina Raza; Mizanur Rahman; Safiullah Kamawal; Armin Toroghi; Ananya Raval; Farshad Navah; Amirmohammad Kazemeini (CoRR, 2024)

Exploring Bias and Prediction Metrics to Characterise the Fairness of Machine Learning for Equity-Centered Public Health Decision-Making: A Narrative Review - Shaina Raza; Arash Shaban-Nejad; Elham Dolatabadi; Hiroshi Mamiya (CoRR, 2024)

Desert Camels and Oil Sheikhs: Arab-Centric Red Teaming of Frontier LLMs - Muhammed Saeed; Elgizouli Mohamed; Mukhtar Mohamed; Shaina Raza; Shady Shehata; Muhammad Abdul-Mageed (CoRR, 2024)

Fact or Fiction? Can LLMs be Reliable Annotators for Political Truths? - Veronica Chatrath; Marcelo Lotif; Shaina Raza (CoRR, 2024)

Fake News Detection: Comparative Evaluation of BERT-like Models and Large Language Models with Generative AI-Annotated Data - Shaina Raza; Drai Paulen-Patterson; Chen Ding (CoRR, 2024)

ViLBias: A Framework for Bias Detection using Linguistic and Visual Cues - Shaina Raza; Caesar Saleh; Emrul Hasan; Franklin Ogidi; Maximus Powers; Veronica Chatrath; Marcelo Lotif; Roya Javadi; Anam Zahid; Vahid Reza Khazaie (CoRR, 2024)

Arabic text detection: a survey of recent progress challenges and opportunities - Abdullah Yahya Mohammed Muaad; Shaina Raza; Usman Naseem; Hanumanthappa J. Jayappa Davanagere (Appl. Intell., 2023)

BERT4Loc: BERT for Location - POI Recommender System - Syed Raza Bashir; Shaina Raza; Vojislav B. Misic (Future Internet, 2023)

Entity and relation extraction from clinical case reports of COVID-19: a natural language processing approach - Shaina Raza; Brian Schwartz (BMC Medical Informatics Decis. Mak., 2023)

PLNCC: Leveraging New Data Features for Enhanced Accuracy of Fake News Detection - Keshopan Arunthavachelvan; Shaina Raza; Chen Ding (Proceedings of the International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2023, Kusadasi, Turkey, November 6-9, 2023, 2023)

Addressing Biases in the Texts Using an End-to-End Pipeline Approach - Shaina Raza; Syed Raza Bashir; Sneha; Urooj Qamar (Advances in Bias and Fairness in Information Retrieval - 4th International Workshop, BIAS 2023, Dublin, Ireland, April 2, 2023, Revised Selected Papers, 2023)

Leveraging Foundation Models for Clinical Text Analysis - Shaina Raza; Syed Raza Bashir (11th IEEE International Conference on Healthcare Informatics, ICHI 2023, Houston, TX, USA, June 26-29, 2023, 2023)

Connecting Fairness in Machine Learning with Public Health Equity - Shaina Raza (11th IEEE International Conference on Healthcare Informatics, ICHI 2023, Houston, TX, USA, June 26-29, 2023, 2023)

Auditing ICU Readmission Rates in an Clinical Database: An Analysis of Risk Factors and Clinical Outcomes - Shaina Raza; Syed Raza Bashir (11th IEEE International Conference on Healthcare Informatics, ICHI 2023, Houston, TX, USA, June 26-29, 2023, 2023)

Addressing Biases in the Texts using an End-to-End Pipeline Approach - Shaina Raza; Syed Raza Bashir; Sneha; Urooj Qamar (CoRR, 2023)

Leveraging Foundation Models for Clinical Text Analysis - Shaina Raza; Syed Raza Bashir (CoRR, 2023)

Connecting Fairness in Machine Learning with Public Health Equity - Shaina Raza (CoRR, 2023)

Auditing ICU Readmission Rates in an Clinical Database: An Analysis of Risk Factors and Clinical Outcomes - Shaina Raza (CoRR, 2023)

Fairness in Machine Learning meets with Equity in Healthcare - Shaina Raza; Parisa Osivand Pour; Syed Raza Bashir (CoRR, 2023)

Mitigating Bias in Conversations: A Hate Speech Classifier and Debiaser with Prompts - Shaina Raza; Chen Ding; Deval Pandya (CoRR, 2023)

NBIAS: A Natural Language Processing Framework for Bias Identification in Text - Shaina Raza; Muskan Garg; Deepak John Reji; Syed Raza Bashir; Chen Ding (CoRR, 2023)

Unlocking Bias Detection: Leveraging Transformer-Based Models for Content Analysis - Shaina Raza; Oluwanifemi Bamgbose; Veronica Chatrath; Shardul Ghuge; Yan Sidyakin; Abdullah Yahya Mohammed Muaad (CoRR, 2023)

Design-Inclusive Language Models for Responsible Information Access - Veronica Chatrath; Oluwanifemi Bamgbose; Shaina Raza (CoRR, 2023)

Navigating News Narratives: A Media Bias Analysis Dataset - Shaina Raza (CoRR, 2023)

FakeWatch ElectionShield: A Benchmarking Framework to Detect Fake News for Credible US Elections - Tahniat Khan; Mizanur Rahman; Veronica Chatrath; Oluwanifemi Bamgbose; Shaina Raza (CoRR, 2023)

Analyzing the Impact of Fake News on the Anticipated Outcome of the 2024 Election Ahead of Time - Shaina Raza; Mizanur Rahman; Shardul Ghuge (CoRR, 2023)

News recommender system: a review of recent progress, challenges, and opportunities - Shaina Raza; Chen Ding (Artif. Intell. Rev., 2022)

CoQUAD: a COVID-19 question answering dataset system, facilitating research, benchmarking, and practice - Shaina Raza; Brian Schwartz; Laura C. Rosella (BMC Bioinform., 2022)

Fake news detection based on news content and social contexts: a transformer-based approach - Shaina Raza; Chen Ding (Int. J. Data Sci. Anal., 2022)

Incorporating Medical Knowledge to Transformer-based Language Models for Medical Dialogue Generation - Usman Naseem; Ajay Bandi; Shaina Raza; Junaid Rashid; Bharathi Raja Chakravarthi (Proceedings of the 21st Workshop on Biomedical Language Processing, BioNLP@ACL 2022, Dublin, Ireland, May 26, 2022, 2022)

Accuracy meets Diversity in a News Recommender System - Shaina Raza; Syed Raza Bashir; Usman Naseem (Proceedings of the 29th International Conference on Computational Linguistics, COLING 2022, Gyeongju, Republic of Korea, October 12-17, 2022, 2022)

A Question-Answering System on COVID-19 Scientific Literature - Shaina Raza; Brian Schwartz; Nancy Ondrusek (46th IEEE Annual Computers, Software, and Applications Conferenc, COMPSAC 2022, Los Alamitos, CA, USA, June 27 - July 1, 2022, 2022)

Incorporating Accuracy and Diversity in a News Recommender System - Shaina Raza; Syed Raza Bashir; Usman Naseem; Dora D. Liu; Deepak John Reji (9th IEEE International Conference on Data Science and Advanced Analytics, DSAA 2022, Shenzhen, China, October 13-16, 2022, 2022)

Detecting Biomedical Named Entities in COVID-19 Texts - Shaina Raza; Brian Schwartz (Proceedings of the 1st Workshop on Healthcare AI and COVID-19, 22 July 2022, Baltimore, Maryland, USA, 2022)

Relevancy and Diversity in News Recommendations - Shaina Raza; Chen Ding (Joint Proceedings of the 10th International Workshop on News Recommendation and Analytics (INRA 2022) and the 3rd International Workshop on Investigating Learning During Web Search (IWILDS 2022) co-located with 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2022), Madrid, Spain, July 15, 2022, 2022)

A Summary of COVID-19 Datasets - Shaina Raza; Syed Raza Bashir; Vidhi Thakkar; Usman Naseem (CoRR, 2022)

A COVID-19 Search Engine (CO-SE) with Transformer-based Architecture - Shaina Raza (CoRR, 2022)

Mitigating health disparities in hospital readmissions - Shaina Raza (CoRR, 2022)

A Biomedical Pipeline to Detect Clinical and Non-Clinical Named Entities - Shaina Raza; Brian Schwartz (CoRR, 2022)

An Approach to Ensure Fairness in News Articles - Shaina Raza; Deepak John Reji; Dora D. Liu; Syed Raza Bashir; Usman Naseem (CoRR, 2022)

Dbias: Detecting biases and ensuring Fairness in news articles - Shaina Raza; Deepak John Reji; Chen Ding (CoRR, 2022)

Deep Neural Network to Tradeoff between Accuracy and Diversity in a News Recommender System - Shaina Raza; Chen Ding (2021 IEEE International Conference on Big Data (Big Data), Orlando, FL, USA, December 15-18, 2021, 2021)

Balanced News Neural Network for a News Recommender System - Shaina Raza; Syed Raza Bashir; Dora D. Liu; Usman Naseem (2021 International Conference on Data Mining, ICDM 2021 - Workshops, Auckland, New Zealand, December 7-10, 2021, 2021)

Deep Dynamic Neural Network to trade-off between Accuracy and Diversity in a News Recommender System - Shaina Raza; Chen Ding (CoRR, 2021)

A News Recommender System Considering Temporal Dynamics and Diversity - Shaina Raza (CoRR, 2021)

A Regularized Model to Trade-off between Accuracy and Diversity in a News Recommender System - Shaina Raza; Chen Ding (2020 IEEE International Conference on Big Data (IEEE BigData 2020), Atlanta, GA, USA, December 10-13, 2020, 2020)

A survey on news recommender system - Dealing with timeliness, dynamic user interest and content quality, and effects of recommendation on news readers - Shaina Raza; Chen Ding (CoRR, 2020)

Progress in context-aware recommender systems - An overview - Shaina Raza; Chen Ding (Comput. Sci. Rev., 2019)

News Recommender System Considering Temporal Dynamics and News Taxonomy - Shaina Raza; Chen Ding (2019 IEEE International Conference on Big Data (IEEE BigData), Los Angeles, CA, USA, December 9-12, 2019, 2019)