Maria Glenski | DeepAI

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∙ 04/14/2022

EXPERT: Public Benchmarks for Dynamic Heterogeneous Academic Graphs

Machine learning models that learn from dynamic graphs face nontrivial c...

0 Sameera Horawalavithana, et al. ∙

∙ 03/15/2022

Unsupervised Keyphrase Extraction via Interpretable Neural Networks

Keyphrase extraction aims at automatically extracting a list of "importa...

8 Rishabh Joshi, et al. ∙

∙ 10/15/2021

Identifying Causal Influences on Publication Trends and Behavior: A Case Study of the Computational Linguistics Community

Drawing causal conclusions from observational real-world data is a very ...

0 Maria Glenski, et al. ∙

∙ 09/09/2021

VAINE: Visualization and AI for Natural Experiments

Natural experiments are observational studies where the assignment of tr...

0 Grace Guo, et al. ∙

∙ 04/27/2021

Leveraging Community and Author Context to Explain the Performance and Bias of Text-Based Deception Detection Models

Deceptive news posts shared in online communities can be detected with N...

0 Galen Weld, et al. ∙

∙ 04/23/2021

Towards Trustworthy Deception Detection: Benchmarking Model Robustness across Domains, Modalities, and Languages

Evaluating model robustness is critical when developing trustworthy mode...

0 Maria Glenski, et al. ∙

∙ 04/23/2021

Evaluating Deception Detection Model Robustness To Linguistic Variation

With the increasing use of machine-learning driven algorithmic judgement...

0 Maria Glenski, et al. ∙

∙ 02/17/2021

Political Bias and Factualness in News Sharing across more than 100,000 Online Communities

As civil discourse increasingly takes place online, misinformation and t...

0 Galen Weld, et al. ∙

∙ 09/27/2020

Measure Utility, Gain Trust: Practical Advice for XAI Researcher

Research into the explanation of machine learning models, i.e., explaina...

15 Brittany Davis, et al. ∙

∙ 09/21/2020

Adjusting for Confounders with Text: Challenges and an Empirical Evaluation Framework for Causal Inference

Leveraging text, such as social media posts, for causal inferences requi...

0 Galen Weld, et al. ∙

∙ 04/16/2020

CrossCheck: Rapid, Reproducible, and Interpretable Model Evaluation

Evaluation beyond aggregate performance metrics, e.g. F1-score, is cruci...

0 Dustin Arendt, et al. ∙

∙ 07/01/2019

Improved Forecasting of Cryptocurrency Price using Social Signals

Social media signals have been successfully used to develop large-scale ...

0 Maria Glenski, et al. ∙

∙ 09/03/2018

GuessTheKarma: A Game to Assess Social Rating Systems

Popularity systems, like Twitter retweets, Reddit upvotes, and Pinterest...

0 Maria Glenski, et al. ∙

∙ 05/30/2018

Identifying and Understanding User Reactions to Deceptive and Trusted Social News Sources

In the age of social news, it is important to understand the types of re...

0 Maria Glenski, et al. ∙

∙ 10/17/2017

Fishing for Clickbaits in Social Images and Texts with Linguistically-Infused Neural Network Models

This paper presents the results and conclusions of our participation in ...

0 Maria Glenski, et al. ∙

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