Maria Glenski
Orcid: 0000-0002-7064-9476
According to our database1,
Maria Glenski
authored at least 28 papers
between 2015 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2024
Exploring the Benefits of Domain-Pretraining of Generative Large Language Models for Chemistry.
CoRR, 2024
2023
Explaining and predicting human behavior and social dynamics in simulated virtual worlds: reproducibility, generalizability, and robustness of causal discovery methods.
Comput. Math. Organ. Theory, March, 2023
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023
2022
Adjusting for Confounders with Text: Challenges and an Empirical Evaluation Framework for Causal Inference.
Proceedings of the Sixteenth International AAAI Conference on Web and Social Media, 2022
2021
IEEE Trans. Comput. Soc. Syst., 2021
Identifying Causal Influences on Publication Trends and Behavior: A Case Study of the Computational Linguistics Community.
CoRR, 2021
Leveraging Community and Author Context to Explain the Performance and Bias of Text-Based Deception Detection Models.
CoRR, 2021
Towards Trustworthy Deception Detection: Benchmarking Model Robustness across Domains, Modalities, and Languages.
CoRR, 2021
Political Bias and Factualness in News Sharing Across more then 100, 000 Online Communities.
CoRR, 2021
Proceedings of the 2021 IEEE Visualization Conference, 2021
Political Bias and Factualness in News Sharing across more than 100, 000 Online Communities.
Proceedings of the Fifteenth International AAAI Conference on Web and Social Media, 2021
Proceedings of the Second Workshop on Simple and Efficient Natural Language Processing, 2021
Proceedings of the Ninth International Workshop on Natural Language Processing for Social Media, 2021
2020
2019
Multilingual Multimodal Digital Deception Detection and Disinformation Spread across Social Platforms.
CoRR, 2019
Proceedings of the World Wide Web Conference, 2019
2018
Propagation From Deceptive News Sources Who Shares, How Much, How Evenly, and How Quickly?
IEEE Trans. Comput. Soc. Syst., 2018
Proc. ACM Hum. Comput. Interact., 2018
How Humans Versus Bots React to Deceptive and Trusted News Sources: A Case Study of Active Users.
Proceedings of the IEEE/ACM 2018 International Conference on Advances in Social Networks Analysis and Mining, 2018
Identifying and Understanding User Reactions to Deceptive and Trusted Social News Sources.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018
2017
ACM Trans. Intell. Syst. Technol., 2017
IEEE Trans. Comput. Soc. Syst., 2017
Fishing for Clickbaits in Social Images and Texts with Linguistically-Infused Neural Network Models.
CoRR, 2017
Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2017, Sydney, Australia, July 31, 2017
2015
Random Voting Effects in Social-Digital Spaces: A Case Study of Reddit Post Submissions.
Proceedings of the 26th ACM Conference on Hypertext & Social Media, 2015