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2020 – today
- 2023
[j6]Svitlana Volkova
, Dustin Arendt, Emily Saldanha, Maria Glenski, Ellyn Ayton, Joseph Cottam, Sinan Aksoy, Brett Jefferson, Karthnik Shrivaram:
Explaining and predicting human behavior and social dynamics in simulated virtual worlds: reproducibility, generalizability, and robustness of causal discovery methods. Comput. Math. Organ. Theory 29(1): 220-241 (2023)- [c11]Rishabh Joshi, Vidhisha Balachandran, Emily Saldanha, Maria Glenski, Svitlana Volkova, Yulia Tsvetkov:
Unsupervised Keyphrase Extraction via Interpretable Neural Networks. EACL (Findings) 2023: 1077-1089 - 2022
- [c10]Galen Weld, Peter West, Maria Glenski, David Arbour, Ryan A. Rossi, Tim Althoff:
Adjusting for Confounders with Text: Challenges and an Empirical Evaluation Framework for Causal Inference. ICWSM 2022: 1109-1120 - [i23]Rishabh Joshi, Vidhisha Balachandran, Emily Saldanha, Maria Glenski, Svitlana Volkova, Yulia Tsvetkov:
Unsupervised Keyphrase Extraction via Interpretable Neural Networks. CoRR abs/2203.07640 (2022) - [i22]Sameera Horawalavithana, Ellyn Ayton, Anastasiya Usenko, Shivam Sharma, Jasmine Eshun, Robin Cosbey, Maria Glenski, Svitlana Volkova:
EXPERT: Public Benchmarks for Dynamic Heterogeneous Academic Graphs. CoRR abs/2204.07203 (2022) - 2021
- [j5]Pamela Bilo Thomas, Daniel Riehm, Maria Glenski, Tim Weninger:
Behavior Change in Response to Subreddit Bans and External Events. IEEE Trans. Comput. Soc. Syst. 8(4): 809-818 (2021) - [c9]Maria Glenski, Ellyn Ayton, Robin Cosbey, Dustin Arendt, Svitlana Volkova:
Evaluating Deception Detection Model Robustness To Linguistic Variation. SocialNLP@NAACL 2021: 70-80 - [c8]Maria Glenski, William Sealy, Kate Miller, Dustin Arendt:
Improving Synonym Recommendation Using Sentence Context. SustaiNLP@EMNLP 2021: 74-78 - [c7]Galen Weld, Maria Glenski, Tim Althoff:
Political Bias and Factualness in News Sharing across more than 100, 000 Online Communities. ICWSM 2021: 796-807 - [c6]Grace Guo, Maria Glenski, ZhuanYi Shaw, Emily Saldanha, Alex Endert, Svitlana Volkova, Dustin Arendt:
VAINE: Visualization and AI for Natural Experiments. IEEE VIS (Short Papers) 2021: 21-25 - [i21]Pamela Bilo Thomas, Daniel Riehm, Maria Glenski, Tim Weninger:
Behavior Change in Response to Subreddit Bans and External Events. CoRR abs/2101.01793 (2021) - [i20]Galen Weld, Maria Glenski, Tim Althoff:
Political Bias and Factualness in News Sharing Across more then 100, 000 Online Communities. CoRR abs/2102.08537 (2021) - [i19]Maria Glenski, Ellyn Ayton, Robin Cosbey, Dustin Arendt, Svitlana Volkova:
Evaluating Deception Detection Model Robustness To Linguistic Variation. CoRR abs/2104.11729 (2021) - [i18]Maria Glenski, Ellyn Ayton, Robin Cosbey, Dustin Arendt, Svitlana Volkova:
Towards Trustworthy Deception Detection: Benchmarking Model Robustness across Domains, Modalities, and Languages. CoRR abs/2104.11761 (2021) - [i17]Galen Weld, Ellyn Ayton, Tim Althoff, Maria Glenski:
Leveraging Community and Author Context to Explain the Performance and Bias of Text-Based Deception Detection Models. CoRR abs/2104.13490 (2021) - [i16]Grace Guo, Maria Glenski, ZhuanYi Shaw, Emily Saldanha, Alex Endert, Svitlana Volkova, Dustin Arendt:
VAINE: Visualization and AI for Natural Experiments. CoRR abs/2109.04348 (2021) - [i15]Maria Glenski, Svitlana Volkova:
Identifying Causal Influences on Publication Trends and Behavior: A Case Study of the Computational Linguistics Community. CoRR abs/2110.07938 (2021) - 2020
- [i14]Dustin Arendt, Zhuanyi Huang, Prasha Shrestha, Ellyn Ayton, Maria Glenski, Svitlana Volkova:
CrossCheck: Rapid, Reproducible, and Interpretable Model Evaluation. CoRR abs/2004.07993 (2020) - [i13]Galen Weld, Peter West, Maria Glenski, David Arbour, Ryan A. Rossi, Tim Althoff:
Adjusting for Confounders with Text: Challenges and an Empirical Evaluation Framework for Causal Inference. CoRR abs/2009.09961 (2020) - [i12]Brittany Davis Pierson, Maria Glenski, William Sealy, Dustin Arendt:
Measure Utility, Gain Trust: Practical Advice for XAI Researcher. CoRR abs/2009.12924 (2020)
2010 – 2019
- 2019
- [c5]Maria Glenski, Emily Saldanha, Svitlana Volkova:
Characterizing Speed and Scale of Cryptocurrency Discussion Spread on Reddit. WWW 2019: 560-570 - [i11]Maria Glenski, Tim Weninger, Svitlana Volkova:
Improved Forecasting of Cryptocurrency Price using Social Signals. CoRR abs/1907.00558 (2019) - [i10]Maria Glenski, Ellyn Ayton, Josh Mendoza, Svitlana Volkova:
Multilingual Multimodal Digital Deception Detection and Disinformation Spread across Social Platforms. CoRR abs/1909.05838 (2019) - 2018
- [j4]Maria Glenski, Greg Stoddard, Paul Resnick, Tim Weninger:
GuessTheKarma: A Game to Assess Social Rating Systems. Proc. ACM Hum. Comput. Interact. 2(CSCW): 59:1-59:15 (2018) - [j3]Maria Glenski, Tim Weninger, Svitlana Volkova:
Propagation From Deceptive News Sources Who Shares, How Much, How Evenly, and How Quickly? IEEE Trans. Comput. Soc. Syst. 5(4): 1071-1082 (2018) - [c4]Maria Glenski, Tim Weninger, Svitlana Volkova:
Identifying and Understanding User Reactions to Deceptive and Trusted Social News Sources. ACL (2) 2018: 176-181 - [c3]Maria Glenski, Tim Weninger, Svitlana Volkova:
How Humans Versus Bots React to Deceptive and Trusted News Sources: A Case Study of Active Users. ASONAM 2018: 654-661 - [i9]Maria Glenski, Tim Weninger, Svitlana Volkova:
Identifying and Understanding User Reactions to Deceptive and Trusted Social News Sources. CoRR abs/1805.12032 (2018) - [i8]Maria Glenski, Tim Weninger, Svitlana Volkova:
How Humans versus Bots React to Deceptive and Trusted News Sources: A Case Study of Active Users. CoRR abs/1807.05327 (2018) - [i7]Maria Glenski, Greg Stoddard, Paul Resnick, Tim Weninger:
GuessTheKarma: A Game to Assess Social Rating Systems. CoRR abs/1809.00740 (2018) - [i6]Maria Glenski, Tim Weninger, Svitlana Volkova:
Propagation from Deceptive News Sources: Who Shares, How Much, How Evenly, and How Quickly? CoRR abs/1812.03533 (2018) - 2017
- [j2]Maria Glenski, Corey Pennycuff, Tim Weninger:
Consumers and Curators: Browsing and Voting Patterns on Reddit. IEEE Trans. Comput. Soc. Syst. 4(4): 196-206 (2017) - [j1]Maria Glenski, Tim Weninger:
Rating Effects on Social News Posts and Comments. ACM Trans. Intell. Syst. Technol. 8(6): 78:1-78:19 (2017) - [c2]Maria Glenski, Tim Weninger:
Predicting User-Interactions on Reddit. ASONAM 2017: 609-612 - [i5]Maria Glenski, Corey Pennycuff, Tim Weninger:
Consumers and Curators: Browsing and Voting Patterns on Reddit. CoRR abs/1703.05267 (2017) - [i4]Maria Glenski, Tim Weninger:
Predicting User-Interactions on Reddit. CoRR abs/1707.00195 (2017) - [i3]Maria Glenski, Ellyn Ayton, Dustin Arendt, Svitlana Volkova:
Fishing for Clickbaits in Social Images and Texts with Linguistically-Infused Neural Network Models. CoRR abs/1710.06390 (2017) - 2016
- [i2]Maria Glenski, Tim Weninger:
Rating Effects on Social News Posts and Comments. CoRR abs/1606.06140 (2016) - 2015
- [c1]Tim Weninger, Thomas James Johnston, Maria Glenski:
Random Voting Effects in Social-Digital Spaces: A Case Study of Reddit Post Submissions. HT 2015: 293-297 - [i1]Maria Glenski, Thomas J. Johnston, Tim Weninger:
Random Voting Effects in Social-Digital Spaces: A case study of Reddit Post Submissions. CoRR abs/1506.01977 (2015)
Coauthor Index
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