CrowdLink: Crowdsourcing for Large-Scale Linked Data Management. - Amna Basharat; Ismailcem Budak Arpinar; Shima Dastgheib; Ugur Kursuncu; Krys J. Kochut; Erdogan Dogdu (ICSC, 2014)

Semantically Enriched Task and Workflow Automation in Crowdsourcing for Linked Data Management. - Amna Basharat; Ismailcem Budak Arpinar; Shima Dastgheib; Ugur Kursuncu; Krys J. Kochut; Erdogan Dogdu (Int. J. Semantic Comput., 2014)

Social Media Analytics to Identify and Counter Islamist Extremism: Systematic Detection, Evaluation, and Challenging of Extremist Narratives Online. - Ismailcem Budak Arpinar; Ugur Kursuncu; Dilshod Achilov (CTS, 2016)

Real Time Evaluation of Quality of Search Terms During Query Expansion for Streaming Text Data Using Velocity and Relevance. - Nilayan Bhattacharya; Ismailcem Budak Arpinar; Ugur Kursuncu (ICSC, 2017)

"Let Me Tell You About Your Mental Health!": Contextualized Classification of Reddit Posts to DSM-5 for Web-based Intervention. - Manas Gaur; Ugur Kursuncu; Amanuel Alambo; Amit P. Sheth; Raminta Daniulaityte; Krishnaprasad Thirunarayan; Jyotishman Pathak (CIKM, 2018)

What's ur Type? Contextualized Classification of User Types in Marijuana-Related Communications Using Compositional Multiview Embedding. - Ugur Kursuncu; Manas Gaur; Usha Lokala; Anurag Illendula; Krishnaprasad Thirunarayan; Raminta Daniulaityte; Amit P. Sheth; Ismailcem Budak Arpinar (WI, 2018)

Predictive Analysis on Twitter: Techniques and Applications. - Ugur Kursuncu; Manas Gaur; Usha Lokala; Krishnaprasad Thirunarayan; Amit P. Sheth; Ismailcem Budak Arpinar (CoRR, 2018)

Question Answering for Suicide Risk Assessment Using Reddit. - Amanuel Alambo; Manas Gaur; Usha Lokala; Ugur Kursuncu; Krishnaprasad Thirunarayan; Amelie Gyrard; Amit P. Sheth; Randon S. Welton; Jyotishman Pathak (ICSC, 2019)

Knowledge-aware Assessment of Severity of Suicide Risk for Early Intervention. - Manas Gaur; Amanuel Alambo; Joy Prakash Sain; Ugur Kursuncu; Krishnaprasad Thirunarayan; Ramakanth Kavuluru; Amit P. Sheth; Randy S. Welton; Jyotishman Pathak (WWW, 2019)

Shades of Knowledge-Infused Learning for Enhancing Deep Learning. - Amit P. Sheth; Manas Gaur; Ugur Kursuncu; Ruwan Wickramarachchi (IEEE Internet Comput., 2019)

Modeling Islamist Extremist Communications on Social Media using Contextual Dimensions: Religion, Ideology, and Hate. - Ugur Kursuncu; Manas Gaur; Carlos Castillo 001; Amanuel Alambo; Krishnaprasad Thirunarayan; Valerie L. Shalin; Dilshod Achilov; Ismailcem Budak Arpinar; Amit P. Sheth (Proc. ACM Hum. Comput. Interact., 2019)

Knowledge Infused Learning (K-IL): Towards Deep Incorporation of Knowledge in Deep Learning. - Ugur Kursuncu; Manas Gaur; Amit P. Sheth (AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering (1), 2020)

Knowledge-infused Deep Learning. - Manas Gaur; Ugur Kursuncu; Amit P. Sheth; Ruwan Wickramarachchi; Shweta Yadav 001 (HT, 2020)

Cyber Social Threats 2020 Workshop Meta-report: COVID-19, Challenges, Methodological and Ethical Considerations. - Ugur Kursuncu; Yelena Mejova; Jeremy Blackburn; Amit P. Sheth (ICWSM Workshops, 2020)

ALONE: A Dataset for Toxic Behavior Among Adolescents on Twitter. - Thilini Wijesiriwardene; Hale Inan; Ugur Kursuncu; Manas Gaur; Valerie L. Shalin; Krishnaprasad Thirunarayan; Amit P. Sheth; Ismailcem Budak Arpinar (SocInfo, 2020)

Reports of the Workshops Held at the 2020 International Association for the Advancement of Artificial Intelligence Conference on Web and Social Media. - Tarek F. Abdelzaher; Jisun An; Marya Bazzi; Jeremy Blackburn; Ugur Kursuncu; Yelena Mejova; Jérémie Rappaz; Horacio Saggion; Panayiotis Smeros; Sanjaya Wijeratne; Ning Yu (AI Mag., 2020)

A hybrid data mining approach for identifying the temporal effects of variables associated with breast cancer survival. - Serhat Simsek; Ugur Kursuncu; Eyyüb Y. Kibis; Musheera AnisAbdellatif; Ali Dag (Expert Syst. Appl., 2020)

Cyber Social Threats 2021: AI, Covid-19 Vaccine, Detection and Countering Strategies. - Ugur Kursuncu; Jeremy Blackburn; Yelena Mejova; Megan Squire; Amit P. Sheth (ICWSM Workshops, 2021)

Knowledge-Driven Drug-Use NamedEntity Recognition with Distant Supervision. - Goonmeet Bajaj; Ugur Kursuncu; Manas Gaur; Usha Lokala; Ayaz Hyder; Srinivasan Parthasarathy 001; Amit P. Sheth (MedInfo, 2021)

Characterization of Time-variant and Time-invariant Assessment of Suicidality on Reddit using C-SSRS. - Manas Gaur; Vamsi Aribandi; Amanuel Alambo; Ugur Kursuncu; Krishnaprasad Thirunarayan; Jonanthan Beich; Jyotishman Pathak; Amit P. Sheth (CoRR, 2021)

When the Bad Is Good and the Good Is Bad: Understanding Cyber Social Health Through Online Behavioral Change. - Ugur Kursuncu; Hemant Purohit; Nitin Agarwal 001; Amit P. Sheth (IEEE Internet Comput., 2021)

Characterization of Time-variant and Time-invariant Assessment of Suicidality on Reddit using C-SSRS. - Manas Gaur; Vamsi Aribandi; Amanuel Alambo; Ugur Kursuncu; Krishnaprasad Thirunarayan; Jonanthan Beich; Jyotishman Pathak; Amit P. Sheth (Zenodo, 2021)

Defining and detecting toxicity on social media: context and knowledge are key. - Amit P. Sheth; Valerie L. Shalin; Ugur Kursuncu (Neurocomputing, 2022)

CySoc 2023: 4th International Workshop on Cyber Social Threats. - Ugur Kursuncu; Kai-Cheng Yang; Francesco Pierri 002; Matthew R. DeVerna; Yelena Mejova; Jeremy Blackburn (WWW (Companion Volume), 2023)

A Domain-Agnostic Neurosymbolic Approach for Big Social Data Analysis: Evaluating Mental Health Sentiment on Social Media during COVID-19. - Vedant Khandelwal; Manas Gaur; Ugur Kursuncu; Valerie L. Shalin; Amit P. Sheth (IEEE Big Data, 2024)

Enhancing Cross-Modal Contextual Congruence for Crowdfunding Success using Knowledge-infused Learning. - Trilok Padhi; Ugur Kursuncu; Yaman Kumar 001; Valerie L. Shalin; Lane Peterson Fronczek (IEEE Big Data, 2024)

Improving Contextual Congruence Across Modalities for Effective Multimodal Marketing using Knowledge-infused Learning. - Trilok Padhi; Ugur Kursuncu; Yaman Kumar 001; Valerie L. Shalin; Lane Peterson Fronczek (CoRR, 2024)

The Adaptive Strategies of Anti-Kremlin Digital Dissent in Telegram during the Russian Invasion of Ukraine. - Apaar Bawa; Ugur Kursuncu; Dilshod Achilov; Valerie L. Shalin (CoRR, 2024)

Fairness in Computational Innovations: Identifying Bias in Substance Use Treatment Length of Stay Prediction Models with Policy Implications. - Ugur Kursuncu; Aaron Baird; Yusen Xia (CoRR, 2024)

Computational approaches for cyber social threats. - Francesco Pierri 002; Matthew R. DeVerna; Kai-Cheng Yang; Jeremy Blackburn; Ugur Kursuncu (EPJ Data Sci., 2024)

Just KIDDIN' : Knowledge Infusion and Distillation for Detection of INdecent Memes. - Rahul Garg 006; Trilok Padhi; Hemang Jain; Ugur Kursuncu; Ponnurangam Kumaraguru (ACL (Findings), 2025)

Telegram as a Battlefield: Kremlin-Related Communications During the Russia-Ukraine Conflict. - Apaar Bawa; Ugur Kursuncu; Dilshod Achilov; Valerie L. Shalin; Nitin Agarwal 001; Esra Akbas (ICWSM, 2025)

Playing Devil's Advocate: Unmasking Toxicity and Vulnerabilities in Large Vision-Language Models. - Abdulkadir Erol; Trilok Padhi; Agnik Saha; Ugur Kursuncu; Mehmet Emin Aktas (CoRR, 2025)

Large Language Models for Cancer Communication: Evaluating Linguistic Quality, Safety, and Accessibility in Generative AI. - Agnik Saha; Victoria Churchill; Anny D. Rodriguez; Ugur Kursuncu; Muhammed Y. Idris (CoRR, 2025)

From Reddit to Generative AI: Evaluating Large Language Models for Anxiety Support Fine-tuned on Social Media Data. - Ugur Kursuncu; Trilok Padhi; Gaurav Sinha; Abdulkadir Erol; Jaya Krishna Mandivarapu; Christopher R. Larrison (CoRR, 2025)