Characterization of time-variant and time-invariant assessment of suicidality on Reddit using C-SSRS von Gaur, Manas, Aribandi, Vamsi, Alambo, Amanuel, Kursuncu, Ugur, Thirunarayan, Krishnaprasad, Beich, Jonathan, Pathak, Jyotishman, Sheth, Amit

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Measuring Creativity in Academic Writing: An Analysis of Essays in Advanced Placement Language and Composition von Bower, Janessa, Acar, Selcuk, Kursuncu, Ugur

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Computational approaches for cyber social threats von Pierri, Francesco, DeVerna, Matthew R., Yang, Kai-Cheng, Blackburn, Jeremy, Kursuncu, Ugur

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Defining and detecting toxicity on social media: context and knowledge are key von Sheth, Amit, Shalin, Valerie L., Kursuncu, Ugur

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Drug Abuse Ontology to Harness Web-Based Data for Substance Use Epidemiology Research: Ontology Development Study von Lokala, Usha, Lamy, Francois, Daniulaityte, Raminta, Gaur, Manas, Gyrard, Amelie, Thirunarayan, Krishnaprasad, Kursuncu, Ugur, Sheth, Amit

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

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Shades of Knowledge-Infused Learning for Enhancing Deep Learning von Sheth, Amit, Gaur, Manas, Kursuncu, Ugur, Wickramarachchi, Ruwan, Sheth, Amit

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When the Bad Is Good and the Good Is Bad: Understanding Cyber Social Health Through Online Behavioral Change von Kursuncu, Ugur, Purohit, Hemant, Agarwal, Nitin, Kursuncu, Ugur

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A hybrid data mining approach for identifying the temporal effects of variables associated with breast cancer survival von Simsek, Serhat, Kursuncu, Ugur, Kibis, Eyyub, AnisAbdellatif, Musheera, Dag, Ali

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When the Bad is Good and the Good is Bad: Understanding Cyber Social Health Through Online Behavioral Change von Kursuncu, Ugur, Purohit, Hemant, Agarwal, Nitin, Sheth, Amit

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Exploring patterns in online discussions into the lingering impact of COVID-19,  two years on von Sinha, Gaurav R., Power, Shannon R., Kursuncu, Ugur

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Modeling Islamist Extremist Communications on Social Media using Contextual Dimensions: Religion, Ideology, and Hate von Kursuncu, Ugur, Gaur, Manas, Castillo, Carlos, Alambo, Amanuel, Thirunarayan, Krishnaprasad, Shalin, Valerie, Achilov, Dilshod, Arpinar, I. Budak, Sheth, Amit

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Knowledge-Infused Abstractive Summarization of Clinical Diagnostic Interviews: Framework Development Study von Manas, Gaur, Aribandi, Vamsi, Kursuncu, Ugur, Alambo, Amanuel, Shalin, Valerie L, Thirunarayan, Krishnaprasad, Beich, Jonathan, Narasimhan, Meera, Sheth, Amit

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ALONE: A Dataset for Toxic Behavior Among Adolescents on Twitter von Wijesiriwardene, Thilini, Inan, Hale, Kursuncu, Ugur, Gaur, Manas, Shalin, Valerie L., Thirunarayan, Krishnaprasad, Sheth, Amit, Arpinar, I. Budak

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Fairness in Computational Innovations: Identifying Bias in Substance Use Treatment Length of Stay Prediction Models with Policy Implications von Kursuncu, Ugur, Baird, Aaron, Xia, Yusen

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Just KIDDIN: Knowledge Infusion and Distillation for Detection of INdecent Memes von Garg, Rahul, Padhi, Trilok, Jain, Hemang, Kursuncu, Ugur, Kumaraguru, Ponnurangam

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A Domain-Agnostic Neurosymbolic Approach for Big Social Data Analysis: Evaluating Mental Health Sentiment on Social Media during COVID-19 von Khandelwal, Vedant, Gaur, Manas, Kursuncu, Ugur, Shalin, Valerie, Sheth, Amit

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The Adaptive Strategies of Anti-Kremlin Digital Dissent in Telegram during the Russian Invasion of Ukraine von Bawa, Apaar, Kursuncu, Ugur, Achilov, Dilshod, Shalin, Valerie L

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Defining and Detecting Toxicity on Social Media: Context and Knowledge are Key von Sheth, Amit, Shalin, Valerie L, Kursuncu, Ugur

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Fairness in Computational Innovations: Identifying Bias in Substance Use Treatment Length of Stay Prediction Models with Policy Implications von Kursuncu, Ugur, Baird, Aaron, Xia, Yusen

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