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2020 – today
- 2024
[j5]Sameera Horawalavithana
, Ellyn Ayton, Anastasiya Usenko, Robin Cosbey, Svitlana Volkova:
Anticipating Technical Expertise and Capability Evolution in Research Communities Using Dynamic Graph Transformers. IEEE Trans. Comput. Soc. Syst. 11(5): 6982-7001 (2024)- [c46]Hsien-Te Kao, Isabel Erickson, Minh Duc Hoang Chu, Zihao He, Kristina Lerman, Svitlana Volkova:
Machine Learning Insights Into Eating Disorder Twitter Communities. CHI Extended Abstracts 2024: 233:1-233:8 - [i21]Chan Young Park, Shuyue Stella Li, Hayoung Jung, Svitlana Volkova, Tanushree Mitra, David Jurgens, Yulia Tsvetkov:
ValueScope: Unveiling Implicit Norms and Values via Return Potential Model of Social Interactions. CoRR abs/2407.02472 (2024) - [i20]Louis Penafiel, Hsien-Te Kao, Isabel Erickson, David Chu, Robert McCormack, Kristina Lerman, Svitlana Volkova:
Towards Safer Online Spaces: Simulating and Assessing Intervention Strategies for Eating Disorder Discussions. CoRR abs/2409.04043 (2024) - [i19]Patrick Gérard, Svitlana Volkova, Louis Penafiel, Kristina Lerman, Tim Weninger:
Modeling Information Narrative Detection and Evolution on Telegram during the Russia-Ukraine War. CoRR abs/2409.07684 (2024) - 2023
- [j4]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) - [c45]Rishabh Joshi, Vidhisha Balachandran, Emily Saldanha, Maria Glenski, Svitlana Volkova, Yulia Tsvetkov:
Unsupervised Keyphrase Extraction via Interpretable Neural Networks. EACL (Findings) 2023: 1077-1089 - [i18]Sameera Horawalavithana, Ellyn Ayton, Anastasiya Usenko, Robin Cosbey, Svitlana Volkova:
Anticipating Technical Expertise and Capability Evolution in Research Communities using Dynamic Graph Transformers. CoRR abs/2307.09665 (2023) - 2022
- [c44]Svitlana Volkova, Robert Rallo:
ExSAIS: Workshop on Extreme Scaling of AI for Science Message from the workshop chairs. IPDPS Workshops 2022: 1242-1243 - [i17]Rishabh Joshi, Vidhisha Balachandran, Emily Saldanha, Maria Glenski, Svitlana Volkova, Yulia Tsvetkov:
Unsupervised Keyphrase Extraction via Interpretable Neural Networks. CoRR abs/2203.07640 (2022) - [i16]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
- [c43]Maria Glenski, Ellyn Ayton, Robin Cosbey, Dustin Arendt, Svitlana Volkova:
Evaluating Deception Detection Model Robustness To Linguistic Variation. SocialNLP@NAACL 2021: 70-80 - [c42]Winston Wu, Dustin Arendt, Svitlana Volkova:
Evaluating Neural Model Robustness for Machine Comprehension. EACL 2021: 2470-2481 - [c41]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 - [i15]Maria Glenski, Ellyn Ayton, Robin Cosbey, Dustin Arendt, Svitlana Volkova:
Evaluating Deception Detection Model Robustness To Linguistic Variation. CoRR abs/2104.11729 (2021) - [i14]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) - [i13]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) - [i12]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
- [c40]Emily Saldanha, Aparna Garimella, Svitlana Volkova:
Understanding and Explicitly Measuring Linguistic and Stylistic Properties of Deception via Generation and Translation. INLG 2020: 216-226 - [i11]Dustin Arendt, Zhuanyi Huang, Prasha Shrestha, Ellyn Ayton, Maria Glenski, Svitlana Volkova:
CrossCheck: Rapid, Reproducible, and Interpretable Model Evaluation. CoRR abs/2004.07993 (2020) - [i10]Winston Wu, Dustin Arendt, Svitlana Volkova:
Evaluating Neural Machine Comprehension Model Robustness to Noisy Inputs and Adversarial Attacks. CoRR abs/2005.00190 (2020)
2010 – 2019
- 2019
- [c39]Prasha Shrestha, Suraj Maharjan, Dustin Arendt, Svitlana Volkova:
Learning from Dynamic User Interaction Graphs to Forecast Diverse Social Behavior. CIKM 2019: 2033-2042 - [c38]Svitlana Volkova, Ellyn Ayton, Dustin Lockhart Arendt, Zhuanyi Huang, Brian Hutchinson:
Explaining Multimodal Deceptive News Prediction Models. ICWSM 2019: 659-662 - [c37]Alireza Karduni, Isaac Cho, Ryan Wesslen, Sashank Santhanam, Svitlana Volkova, Dustin Lockhart Arendt, Samira Shaikh, Wenwen Dou:
Vulnerable to misinformation?: Verifi! IUI 2019: 312-323 - [c36]Dustin Arendt, Emily Saldanha, Ryan Wesslen, Svitlana Volkova, Wenwen Dou:
Towards rapid interactive machine learning: evaluating tradeoffs of classification without representation. IUI 2019: 591-602 - [c35]Maria Glenski, Emily Saldanha, Svitlana Volkova:
Characterizing Speed and Scale of Cryptocurrency Discussion Spread on Reddit. WWW 2019: 560-570 - [i9]Maria Glenski, Tim Weninger, Svitlana Volkova:
Improved Forecasting of Cryptocurrency Price using Social Signals. CoRR abs/1907.00558 (2019) - [i8]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
- [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) - [c34]Dustin Arendt, Emily Grace, Svitlana Volkova:
Interactive Machine Learning at Scale With CHISSL. AAAI 2018: 8194-8195 - [c33]Maria Glenski, Tim Weninger, Svitlana Volkova:
Identifying and Understanding User Reactions to Deceptive and Trusted Social News Sources. ACL (2) 2018: 176-181 - [c32]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 - [c31]Anna Rogers, Alexey Romanov, Anna Rumshisky, Svitlana Volkova, Mikhail Gronas, Alex Gribov:
RuSentiment: An Enriched Sentiment Analysis Dataset for Social Media in Russian. COLING 2018: 755-763 - [c30]Alireza Karduni, Ryan Wesslen, Sashank Santhanam, Isaac Cho, Svitlana Volkova, Dustin Arendt, Samira Shaikh, Wenwen Dou:
Can You Verifi This? Studying Uncertainty and Decision-Making About Misinformation Using Visual Analytics. ICWSM 2018: 151-160 - [c29]Svitlana Volkova, Stephen Ranshous, Lawrence Phillips:
Predicting Foreign Language Usage from English-Only Social Media Posts. NAACL-HLT (2) 2018: 608-614 - [c28]Svitlana Volkova, Jin Yea Jang:
Misleading or Falsification: Inferring Deceptive Strategies and Types in Online News and Social Media. WWW (Companion Volume) 2018: 575-583 - [i7]Maria Glenski, Tim Weninger, Svitlana Volkova:
Identifying and Understanding User Reactions to Deceptive and Trusted Social News Sources. CoRR abs/1805.12032 (2018) - [i6]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) - [i5]Alireza Karduni, Isaac Cho, Ryan Wesslen, Sashank Santhanam, Svitlana Volkova, Dustin Arendt, Samira Shaikh, Wenwen Dou:
Vulnerable to Misinformation? Verifi! CoRR abs/1807.09739 (2018) - [i4]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]Svitlana Volkova, Lauren E. Charles, Josh Harrison, Courtney D. Corley:
Uncovering the relationships between military community health and affects expressed in social media. EPJ Data Sci. 6(1): 9 (2017) - [c27]Neetu Pathak, Michael J. Henry, Svitlana Volkova:
Understanding Social Media's Take on Climate Change through Large-Scale Analysis of Targeted Opinions and Emotions. AAAI Spring Symposia 2017 - [c26]Dustin Arendt, Svitlana Volkova:
ESTEEM: A Novel Framework for Qualitatively Evaluating and Visualizing Spatiotemporal Embeddings in Social Media. ACL (System Demonstrations) 2017: 25-30 - [c25]Hannah Rashkin, Eric Bell, Yejin Choi, Svitlana Volkova:
Multilingual Connotation Frames: A Case Study on Social Media for Targeted Sentiment Analysis and Forecast. ACL (2) 2017: 459-464 - [c24]Svitlana Volkova, Kyle Shaffer, Jin Yea Jang, Nathan Oken Hodas:
Separating Facts from Fiction: Linguistic Models to Classify Suspicious and Trusted News Posts on Twitter. ACL (2) 2017: 647-653 - [c23]Hannah Rashkin, Eunsol Choi, Jin Yea Jang, Svitlana Volkova, Yejin Choi:
Truth of Varying Shades: Analyzing Language in Fake News and Political Fact-Checking. EMNLP 2017: 2931-2937 - [c22]Svitlana Volkova, Eric Bell:
Identifying Effective Signals to Predict Deleted and Suspended Accounts on Twitter Across Languages. ICWSM 2017: 290-298 - [c21]Ian Stewart, Dustin Arendt, Eric Bell, Svitlana Volkova:
Measuring, Predicting and Visualizing Short-Term Change in Word Representation and Usage in VKontakte Social Network. ICWSM 2017: 672-675 - [c20]Isaac Cho, Ryan Wesslen, Svitlana Volkova, William Ribarsky, Wenwen Dou:
CrystalBall: A Visual Analytic System for Future Event Discovery and Analysis from Social Media Data. VAST 2017: 25-35 - [c19]Lawrence Phillips, Kyle Shaffer, Dustin Arendt, Nathan Oken Hodas, Svitlana Volkova:
Intrinsic and Extrinsic Evaluation of Spatiotemporal Text Representations in Twitter Streams. Rep4NLP@ACL 2017: 201-210 - [e2]Dirk Hovy, Svitlana Volkova, David Bamman, David Jurgens, Brendan O'Connor, Oren Tsur, A. Seza Dogruöz:
Proceedings of the Second Workshop on NLP and Computational Social Science, NLP+CSS@ACL 2017, Vancouver, Canada, August 3, 2017. Association for Computational Linguistics 2017, ISBN 978-1-945626-65-4 [contents] - [i3]Ian Stewart, Dustin Arendt, Eric Bell, Svitlana Volkova:
Measuring, Predicting and Visualizing Short-Term Change in Word Representation and Usage in VKontakte Social Network. CoRR abs/1703.07012 (2017) - [i2]Lawrence Phillips, Chase Dowling, Kyle Shaffer, Nathan Oken Hodas, Svitlana Volkova:
Using Social Media to Predict the Future: A Systematic Literature Review. CoRR abs/1706.06134 (2017) - [i1]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
- [c18]Umashanthi Pavalanathan, Vivek V. Datla, Svitlana Volkova, Lauren Charles-Smith, Meg Pirrung, Joshua J. Harrison, Alan R. Chappell, Courtney D. Corley:
Discourse, Health and Well-Being of Military Populations Through the Social Media Lens. AAAI Workshop: WWW and Population Health Intelligence 2016 - [c17]Svitlana Volkova, Yoram Bachrach:
Inferring Perceived Demographics from User Emotional Tone and User-Environment Emotional Contrast. ACL (1) 2016 - [c16]Svitlana Volkova, Yoram Bachrach, Benjamin Van Durme:
Mining User Interests to Predict Perceived Psycho-Demographic Traits on Twitter. BigDataService 2016: 36-43 - [c15]Kyungsik Han, Svitlana Volkova, Courtney D. Corley:
Understanding Roles of Social Media in Academic Engagement and Satisfaction for Graduate Students. CHI Extended Abstracts 2016: 1215-1221 - [c14]Svitlana Volkova, Ilia Chetviorkin, Dustin Arendt, Benjamin Van Durme:
Contrasting Public Opinion Dynamics and Emotional Response During Crisis. SocInfo (1) 2016: 312-329 - [c13]Svitlana Volkova, Kyungsik Han, Courtney D. Corley:
Using Social Media to Measure Student Wellbeing: A Large-Scale Study of Emotional Response in Academic Discourse. SocInfo (1) 2016: 510-526 - [e1]David Bamman, A. Seza Dogruöz, Jacob Eisenstein, Dirk Hovy, David Jurgens, Brendan O'Connor, Alice Oh, Oren Tsur, Svitlana Volkova:
Proceedings of the First Workshop on NLP and Computational Social Science, NLP+CSS@EMNLP 2016, Austin, TX, USA, November 5, 2016. Association for Computational Linguistics 2016, ISBN 978-1-945626-26-5 [contents] - 2015
- [j1]Svitlana Volkova, Yoram Bachrach:
On Predicting Sociodemographic Traits and Emotions from Communications in Social Networks and Their Implications to Online Self-Disclosure. Cyberpsychology Behav. Soc. Netw. 18(12): 726-736 (2015) - [c12]Svitlana Volkova, Benjamin Van Durme:
Online Bayesian Models for Personal Analytics in Social Media. AAAI 2015: 2325-2331 - [c11]Svitlana Volkova, Yoram Bachrach, Michael Armstrong, Vijay Sharma:
Inferring Latent User Properties from Texts Published in Social Media. AAAI 2015: 4296-4297 - [c10]Yoad Lewenberg, Yoram Bachrach, Svitlana Volkova:
Using emotions to predict user interest areas in online social networks. DSAA 2015: 1-10 - [c9]Svitlana Volkova, Benjamin Van Durme, David Yarowsky, Yoram Bachrach:
Social Media Predictive Analytics. HLT-NAACL 2015: 9 - 2014
- [c8]Svitlana Volkova, Glen Coppersmith, Benjamin Van Durme:
Inferring User Political Preferences from Streaming Communications. ACL (1) 2014: 186-196 - 2013
- [c7]Svitlana Volkova, Theresa Wilson, David Yarowsky:
Exploring Sentiment in Social Media: Bootstrapping Subjectivity Clues from Multilingual Twitter Streams. ACL (2) 2013: 505-510 - [c6]Svitlana Volkova, Pallavi Choudhury, Chris Quirk, Bill Dolan, Luke Zettlemoyer:
Lightly Supervised Learning of Procedural Dialog Systems. ACL (1) 2013: 1669-1679 - [c5]Svitlana Volkova, Theresa Wilson, David Yarowsky:
Exploring Demographic Language Variations to Improve Multilingual Sentiment Analysis in Social Media. EMNLP 2013: 1815-1827 - [c4]Mark Yatskar, Svitlana Volkova, Asli Celikyilmaz, Bill Dolan, Luke Zettlemoyer:
Learning to Relate Literal and Sentimental Descriptions of Visual Properties. HLT-NAACL 2013: 416-425 - 2012
- [c3]Svitlana Volkova, William B. Dolan, Theresa Wilson:
CLex: A Lexicon for Exploring Color, Concept and Emotion Associations in Language. EACL 2012: 306-314 - 2010
- [c2]Svitlana Volkova, William H. Hsu:
Computational knowledge and information management in veterinary epidemiology. ISI 2010: 120-125 - [c1]Svitlana Volkova, Doina Caragea, William H. Hsu, John Drouhard, Landon Fowles:
Boosting Biomedical Entity Extraction by Using Syntactic Patterns for Semantic Relation Discovery. Web Intelligence 2010: 272-278
Coauthor Index
Dustin Arendt
aka: Dustin Lockhart Arendt
aka: Dustin Lockhart Arendt
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last updated on 2024-10-23 20:35 CEST by the dblp team
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