Recent Publications

• Generating Analytic Specifications for Data Visualization from Natural Language Queries using Large Language Models

  Subham Sah, Rishab Mitra, Arpit Narechania, Alex Endert, John Stasko, Wenwen Dou (2024).

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• The impact of elicitation and contrasting narratives on engagement, recall and attitude change with news articles containing data visualization

  Milad Rogha, Subham Sah, Alireza Karduni, Douglas Markant, Wenwen Dou (2024). IEEE Transactions on Visualization and Computer Graphics (TVCG).

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• Text to causal knowledge graph: A framework to synthesize knowledge from unstructured business texts into causal graphs

  Seethalakshmi Gopalakrishnan, Victor Zitian Chen, Wenwen Dou, Gus Hahn-Powell, Sreekar Nedunuri, Wlodek Zadrozny (2023). Information by MDPI.

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• Images, emotions, and credibility: Effect of emotional facial expressions on perceptions of news content bias and source credibility in social media

  Alireza Karduni, Ryan Wesslen, Douglas Markant, Wenwen Dou (2023). Proceedings of the International AAAI Conference on Web and Social Media.

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• The triangulation of ethical leader signals using qualitative, experimental, and data science methods

  George C Banks, Roxanne Ross, Allison A Toth, Scott Tonidandel, Atefeh Mahdavi Goloujeh, Wenwen Dou, Ryan Wesslen (2023). The Leadership Quarterly.

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• When do data visualizations persuade? The impact of prior attitudes on learning about correlations from scatterplot visualizations

  Douglas Markant, Milad Rogha, Alireza Karduni, Ryan Wesslen, Wenwen Dou (2023). IEEE Transactions on Visualization and Computer Graphics (TVCG).

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• Explainable Ai for Data Driven Learning Analytics: A Holistic Approach to Engage Advisors in Knowledge Discovery

  Nasheen Nur, Aileen Benedict, Omar Eltayeby, W Dou, M Dorodchi, X Niu, ML Maher, CN Chambers (2022). EDULEARN22 Proceedings.

• Effect of uncertainty visualizations on myopic loss aversion and the equity premium puzzle in retirement investment decisions

  Ryan Wesslen, Alireza Karduni, Douglas Markant, Wenwen Dou (2021). IEEE Transactions on Visualization and Computer Graphics (TVCG).

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• A Bayesian cognition approach for belief updating of correlation judgement through uncertainty visualizations

  Alireza Karduni, Douglas Markant, Ryan Wesslen, Wenwen Dou (2020). IEEE Transactions on Visualization and Computer Graphics (TVCG).

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• Interactive Steering of Hierarchical Clustering

  Yang, W., Wang, X., Lu, J., Dou, W., & Liu, S. (2020). IEEE Transactions on Visualization and Computer Graphics (TVCG).

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• Parallel embeddings: a visualization technique for contrasting learned representations

  Arendt, D. L., Nur, N., Huang, Z., Fair, G., & Dou, W. (2020). In Proceedings of the 25th International Conference on Intelligent User Interfaces (IUI '20).

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• Du Bois Wrapped Bar Chart: Visualizing Categorical Data with Disproportionate Values

  Karduni, A., Wesslen, R., Cho, I., & Dou, W. (2020). In Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems (CHI '20).

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• A feasibility study on identifying drinking-related contents in Facebook through mining heterogeneous data

  ElTayeby, O., Eaglin, T., Abdullah, M., Burlinson, D., Dou, W., & Yao, L. (2019). Health informatics journal 25 (4), 1756-1767.

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• Student Network Analysis: A Novel Way to Predict Delayed Graduation in Higher Education

  Nur, N., Park, N., Dorodchi, M., Dou, W., Mahzoon, M. J., Niu, X., & Maher, M. L. (2019). International Conference on Artificial Intelligence in Education.

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• Investigating Effects of Visual Anchors on Decision-Making about Misinformation

  Wesslen, R., Santhanam, S., Karduni, A., Cho, I., Shaikh, S., & Dou, W. (2019). Computer Graphics Forum, 38: 161-171.

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• Towards Rapid Interactive Machine Learning: evaluating tradeoffs of classification without representation

  Arendt, D., Saldanha, E., Wesslen, R., Volkova, S., & Dou, W. (2019). In Proceedings of the 24th International Conference on Intelligent User Interfaces (IUI '19).

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  Recorded presentation

• Vulnerable to misinformation?: Verifi!

  Karduni, A., Cho, I., Wesslen, R., Santhanam, S., Volkova, S., Arendt, D. L., Shaikh, S., & Dou, W. (2019). In Proceedings of the 24th International Conference on Intelligent User Interfaces (IUI '19).

  PDF Recorded presentation

• Bridging Text Visualization and Mining: A Task-Driven Survey

  Liu, S., Wang, X., Collins, C., Dou, W., Ouyang, F., El-Assady, M., Jiang, L., & Keim, D. (2018). IEEE Transactions on Visualization and Computer Graphics (TVCG).

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• Can You Verifi This? Studying Uncertainty and Decision-Making About Misinformation using Visual Analytics

  Karduni, A., Wesslen, R., Santhanam, S., Cho, I., Volkova, S., Arendt, D., Shaikh, S., & Dou, W. (2018). The 12th AAAI Conference on Web and Social Media (ICWSM).

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• A Sequence Data Model for Analyzing Temporal Patterns of Student Data

  Mahzoon, M. J., Maher, M. L., Eltayeby, O., Dou, W., & Grace, K. (2018). Journal of Learning Analytics, 5(1), 55-74.

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• The Anchoring Effect in Decision-Making with Visual Analytics

  Cho, I., Wesslen, R., Karduni, A., Santhanam, S., Shaikh, S., & Dou, W. (2017). In IEEE Conference on Visual Analytics Science and Technology (VAST).

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• CrystalBall: A Visual Analytic System for Future Event Discovery and Analysis from Social Media Data

  Cho, I., Wesslen, R., Volkova, S., Ribarsky, W., & Dou, W. (2017). In IEEE Conference on Visual Analytics Science and Technology (VAST).

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• Topic- and Time-Oriented Visual Text Analysis

  Dou, W. & Liu, S. (2016). IEEE Computer Graphics and Applications, vol. 36, no. 4, pp. 8-13.

• Omar ElTayeby and Wenwen Dou. 2016. A Survey on Interaction Log Analysis for Evaluating Exploratory Visualizations

  In Proceedings of the Sixth Workshop on Beyond Time and Errors on Novel Evaluation Methods for Visualization (BELIV '16).

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• VAiRoma: A Visual Analytics System for Making Sense of Places, Times, and Events in Roman History

  Cho, I., Dou, W., Wang, D., Sauda, E., & Ribarsky, W. (2015). IEEE Transactions on Visualization and Computer Graphics (TVCG).

  PDF Link to interface: https://vairoma.uncc.edu

• DemographicVis: Analyzing Demographic Information based on User Generated Content

  Dou, W., Cho, I., ElTayeby, O., Choo, J., Wang, D., & Ribarsky, W. (2015). IEEE Conference on Visual Analytics Science and Technology (VAST).

  PDF Link to interface: http://demographicvis.uncc.edu

• Textvis2015:fourth workshop on interactive visual text analytics

  Choo, J., Collins, C., Dou, W., & Endert, A. (2015). 20th ACM Conference on Intelligent User Interfaces (IUI).

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• Visually exploring large text collections using topic hierarchies

  Dou, W., Yu, L., Wang, X., Ma, Z., & Ribarsky, W. (2013). IEEE Transactions on Visualization and Computer Graphics (TVCG).

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• Social Media Analytics for Competitive Advantage

  Ribarsky, W., Wang, X., & Dou, W. (2013). Elsevier Computer & Graphics, Special Issue on EuroVA 2013.

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• Tag-latent dirichlet allocation: Understanding hashtags and their relationships

  Ma, Z., Dou, W., Wang, X., & Akella, S. (2013). IEEE/WIC/ACM International Conference on Web Intelligence.

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• Less after-the-fact: Investigative visual analysis of events from streaming twitter

  Kraft, T., Wang, X., Delawder, J., Dou, W., Yu, L., & Ribarsky, W. (2013). IEEE Symposium on Large-Scale Data Analysis and Visualization (LDAV).

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• Discover diamonds-in-the- rough: Tweets as a collective diary of the occupy movement

  Dou, W., Wang, X., Ma, Z., & Ribarsky, W. (2013). The 7th International AAAI Conference on Weblogs and Social Media (ICWSM). Workshop on Social Media Visualization.

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• Real-Time Visualization of Streaming Text with a Force-Based Dynamic System

  Alsakran, J., Chen, Y., Luo, D., Zhao, Y., Yang, J., Dou, W., & Liu, S. (2012). IEEE Computer Graphics and Applications (CG&A).

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• Toward a Deeper Understanding of the Relationship Between Interaction Constraints and Visual Isomorphs

  Dou, W., Ziemkiewicz, C., Harrison, L., Jeong, D., Ribarsky, W., Wang, X., & Chang, R. (2012). Journal of Information Visualization (IVS).

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• I-SI: Scalable architecture of analyzing latent topical-level information from social media data

  Wang, X., Dou, W., Ma, Z., Villalobos, J., Chen, Y., Kraft, T., & Ribarsky, W. (2012). Computer Graphics Forum. EuroVis.

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• Leadline: Interactive visual analysis of text data through event identification and exploration

  Dou, W., Wang, X., Drew, S., Ribarsky, W., & Zhou, M. (2012). IEEE Conference on Visual Analytics Science and Technology (VAST).

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• Evaluating depth perception of volumetric data in semi-immersive VR

  Cho, I., Dou, W., Wartell, Z., Ribarsky, W., & Wang, X. (2012). ACM SIGCHI Advanced Visual Interface (AVI).

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• Event Detection in Social Media Data

  Dou, W., Wang, X., Ribarsky, W., & Zhou, M. (2012). IEEE VisWeek Workshop on Interactive Visual Text Analytics - Task Driven Analytics of Social Media Content.

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• Parallel Topics: A Probabilistic Approach to Exploring Document Collections

  Dou, W., Wang, X., Chang, R., & Ribarsky, W. (2011). IEEE Conference on Visual Analytics Science and Technology (VAST).

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• A two-stage framework for designing visual analytics system in organizational environments

  Wang, X., Dou, W., Butkiewicz, T., Bier, E., & Ribarsky, W. (2011). IEEE Conference on Visual Analytics Science and Technology (VAST).

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• Designing knowledge-assisted visual analytics systems for organizational environments

  Wang, X., Dou, W., Butkiewicz, T., Bier, E., & Ribarsky, W. (2011). VINCI 2011 conference on visual , information communication and interaction.

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• Guiding Security analysis through visualization

  Harrison, L., Dou, W., Lu, A., Ribarsky, W., & Wang, X. (2011). VAST Challenge, IEEE Conference on Visual Analytics Science and Technology (VAST).

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• Analytic Provenance: Process + Interaction + Insight

  North, C., Chang, R., Endert, A., Dou, W., May, R., Pike, W., & Fink, G. (2011). ACM SIGCHI Workshop (Extended Abstracts).

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• An Interactive Visual Analytics System for Bridge Management

  Wang, X., Dou, W., Chen, S., Ribarsky, W., & Chang, R. (2010). Computer Graphics Forum (Eurovis 2010).

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• Comparing Different Levels of Interaction Constraints for Deriving Visual Problem Isomorphs

  Dou, W., Ziemkiewicz, C., Harrison, L., Jeong, D., Ryan, R., Ribarsky, W., Wang, X., & Chang, R. (2010). IEEE Conference on Visual Analytics Science and Technology (VAST).

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• Helping Users Recall Their Reasoning Process

  Richter Lipford, H., Stukes, F., Dou, W., Hawkins, M., & Chang, R. (2010). IEEE Conference on Visual Analytics Science and Technology (VAST).

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• Capturing Reasoning Process Through User Interaction

  Dou, W., Ribarsky, W., & Chang, R. (2010). IEEE EuroVis Symposium on Visual Analytics (EuroVAST) 2010.

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• Defining and Applying Knowledge Conversion Processes to a Visual Analytics System

  Wang, X., Jeong, D., Dou, W., Lee, S., Ribarsky, W., & Chang, R. (2009). Computers and Graphics (Elsevier).

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• Recovering Reasoning Process From User Interactions

  Dou, W., Jeong, D., Stukes, F., Ribarsky, W., Richter Lipford, H., & Chang, R. (2009). IEEE Computer Graphics and Applications (CG&A) Issue on Visual Analytics Evaluation (SEMVAST).

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• Comparing Usage Patterns of Domain Experts and Novices in Visual Analytical Tasks

  Dou, W., Jeong, D., Stukes, F., Ribarsky, W., Richter Lipford, H., & Chang, R. (2009). ACM SIGCHI Sensemaking Workshop 2009.

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• Multi-Focused Geospatial Analysis Using Probes

  Butkiewicz, T., Dou, W., Wartell, Z., Ribarsky, W., & Chang, R. (2008). InfoVis 2008 (IEEE Transactions on Visualization and Computer Graphics).

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