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09/15/2023
Fin-Fact: A Benchmark Dataset for Multimodal Financial Fact Checking and Explanation Generation
Fact-checking in financial domain is under explored, and there is a shor...
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06/27/2023
Emulating Reader Behaviors for Fake News Detection
The wide dissemination of fake news has affected our lives in many aspec...
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06/14/2023
Data Augmentation for Seizure Prediction with Generative Diffusion Model
Objective: Seizure prediction is of great importance to improve the life...
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05/31/2023
Investigating Gender Euphoria and Dysphoria on TikTok: Characterization and Comparison
With the emergence of short video-sharing platforms, engagement with soc...
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05/18/2023
MetaGAD: Learning to Meta Transfer for Few-shot Graph Anomaly Detection
Graph anomaly detection has long been an important problem in various do...
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04/17/2023
TAP: A Comprehensive Data Repository for Traffic Accident Prediction in Road Networks
Road safety is a major global public health concern. Effective traffic c...
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11/10/2022
Combating Health Misinformation in Social Media: Characterization, Detection, Intervention, and Open Issues
Social media has been one of the main information consumption sources fo...
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07/18/2022
On Fair Classification with Mostly Private Sensitive Attributes
Machine learning models have demonstrated promising performance in many ...
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06/26/2022
Memory-Guided Multi-View Multi-Domain Fake News Detection
The wide spread of fake news is increasingly threatening both individual...
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06/08/2022
Joint Adversarial Learning for Cross-domain Fair Classification
Modern machine learning (ML) models are becoming increasingly popular an...
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05/18/2022
PromptDA: Label-guided Data Augmentation for Prompt-based Few Shot Learners
Recent advances on large pre-trained language models (PLMs) lead impress...
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10/03/2021
Enhancing Model Robustness and Fairness with Causality: A Regularization Approach
Recent work has raised concerns on the risk of spurious correlations and...
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08/28/2021
WALNUT: A Benchmark on Weakly Supervised Learning for Natural Language Understanding
Building quality machine learning models for natural language understand...
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06/08/2021
Labeled Data Generation with Inexact Supervision
The recent advanced deep learning techniques have shown the promising re...
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04/29/2021
You Can Still Achieve Fairness Without Sensitive Attributes: Exploring Biases in Non-Sensitive Features
Though machine learning models are achieving great success, ex-tensive s...
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04/25/2021
User Preference-aware Fake News Detection
Disinformation and fake news have posed detrimental effects on individua...
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05/26/2020
Learning with Weak Supervision for Email Intent Detection
Email remains one of the most frequently used means of online communicat...
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10/28/2019
Deep causal representation learning for unsupervised domain adaptation
Studies show that the representations learned by deep neural networks ca...
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10/24/2019
Detecting Fake News with Weak Social Supervision
Limited labeled data is becoming the largest bottleneck for supervised l...
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07/06/2019
I Am Not What I Write: Privacy Preserving Text Representation Learning
Online users generate tremendous amounts of textual information by parti...
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05/01/2019
Applications of Social Media in Hydroinformatics: A Survey
Floods of research and practical applications employ social media data f...
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04/30/2019
The Role of User Profile for Fake News Detection
Consuming news from social media is becoming increasingly popular. Socia...
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03/06/2019
Graph Neural Networks for User Identity Linkage
The increasing popularity and diversity of social media sites has encour...
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03/05/2019
Exploiting Emotions for Fake News Detection on Social Media
Microblog has become a popular platform for people to post, share, and s...
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05/01/2018
Securing Social Media User Data - An Adversarial Approach
Social media users generate tremendous amounts of data. To better serve ...
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09/14/2017
Cross-Platform Emoji Interpretation: Analysis, a Solution, and Applications
Most social media platforms are largely based on text, and users often w...
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08/07/2017