activity
20182026
most citedDefining and Detecting Toxicity on Social Media: Context and Knowledge are Key

98 citations · 349 across the 18 of their papers we have counts for

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Showing 2024Show all

5 papers · 1 filter

cs.CY2024

Fairness in Computational Innovations: Identifying Bias in Substance Use Treatment Length of Stay Prediction Models with Policy Implications

Ugur Kursuncu, Aaron Baird, Yusen Xia

Predictive machine learning (ML) models are computational innovations that can enhance medical decision-making, including aiding in determining optimal timing for discharging patie…

cs.AI2024★ 2 cited

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 +2

Monitoring public sentiment via social media is potentially helpful during health crises such as the COVID-19 pandemic. However, traditional frequency-based, data-driven neural net…

cs.LG2024

Just KIDDIN: Knowledge Infusion and Distillation for Detection of INdecent Memes

Rahul Garg, Trilok Padhi, Hemang Jain +2

Toxicity identification in online multimodal environments remains a challenging task due to the complexity of contextual connections across modalities (e.g., textual and visual). I…

cs.SI2024★ 1 cited

The Adaptive Strategies of Anti-Kremlin Digital Dissent in Telegram during the Russian Invasion of Ukraine

Apaar Bawa, Ugur Kursuncu, Dilshod Achilov +1

During Russia's invasion of Ukraine in February 2022, Telegram became an essential social media platform for Kremlin-sponsored propaganda dissemination. Over time, Anti-Kremlin Rus…

cs.AI2024★ 2 cited

Enhancing Cross-Modal Contextual Congruence for Crowdfunding Success using Knowledge-infused Learning

Trilok Padhi, Ugur Kursuncu, Yaman Kumar +2

The digital landscape continually evolves with multimodality, enriching the online experience for users. Creators and marketers aim to weave subtle contextual cues from various mod…