Data Through Others' Eyes: The Impact of Visualizing Others' Expectations on Visualization Interpretation
Abstract
In addition to visualizing input data, interactive visualizations have the potential to be social artifacts that reveal other people's perspectives on the data. However, how such social information embedded in a visualization impacts a viewer's interpretation of the data remains unknown. Inspired by recent interactive visualizations that display people's expectations of data against the data, we conducted a controlled experiment to evaluate the effect of showing social information in the form of other people's expectations on people's ability to recall the data, the degree to which they adjust their expectations to align with the data, and their trust in the accuracy of the data. We found that social information that exhibits a high degree of consensus lead participants to recall the data more accurately relative to participants who were exposed to the data alone. Additionally, participants trusted the accuracy of the data less and were more likely to maintain their initial expectations when other people's expectations aligned with their own initial expectations but not with the data. We conclude by characterizing the design space for visualizing others' expectations alongside data.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Persuasiveness of visualized data depends on both context and visualization designs.
“Prior work suggests that persuasiveness of visualized data depends on both context (does the topic align with the viewers' prior beliefs?) and visualization designs (tabular design or bar graphs) [25, 26, 34].”
From Illusion of Causality in Visualized Data (2020) · cites this paper as [25]
Cites
Fitting Linear Mixed-Effects Models Using <b>lme4</b>
Bates, D., Mächler, M., Bolker, B., & Walker, S. (2015) · Journal of Statistical Software · doi:10.18637/jss.v067.i01 · Cited by 86,835 · see citing works
A theory of social comparison processes
Festinger, L. (1954) · Human Relations · doi:10.1177/001872675400700202 · Cited by 20,926 · see citing works
Confirmation Bias: A Ubiquitous Phenomenon in Many Guises
Nickerson, R. S. (1998) · Review of General Psychology · doi:10.1037/1089-2680.2.2.175 · Cited by 7,267 · see citing works
A study of normative and informational social influences upon individual judgment.
Deutsch, M., & Gerard, H. B. (1955) · The Journal of Abnormal and Social Psychology · doi:10.1037/h0046408 · Cited by 4,819 · see citing works
French, J. R. P., & Raven, B. H. (1986) · University of Pittsburgh Press eBooks · doi:10.2307/jj.12381759.38 · Cited by 4,544 · see citing works
Readings in Information Visualization: Using Vision to Think
Card, S. K., Mackinlay, J. D., & Shneiderman, B. (1999) · Cited by 3,959 · see citing works
Effects of Group Pressure Upon the Modification and Distortion of Judgments
Asch, S. E. (1961) · Documents of Gestalt Psychology · doi:10.1525/9780520313514-017 · Cited by 2,644 · see citing works
Informal social communication.
Festinger, L. (1950) · Psychological Review · doi:10.1037/h0056932 · Cited by 1,732 · see citing works
Homophily, Selection, and Socialization in Adolescent Friendships
Kandel, D. B. (1978) · American Journal of Sociology · doi:10.1086/226792 · Cited by 1,476 · see citing works
Informal social communication.
Festinger, L. (1950) · Research Center for Dynamics Institute for Social Research eBooks · doi:10.1037/10646-001 · Cited by 1,317 · see citing works
Adults' Statistical Literacy: Meanings, Components, Responsibilities
Gal, I. (2002) · International Statistical Review · doi:10.1111/j.1751-5823.2002.tb00336.x · Cited by 905 · see citing works
ManyEyes: a Site for Visualization at Internet Scale
Viégas, F. B., WATTENBERG, M. P., van Ham, F., Kriss, J., & McKeon, M. (2007) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2007.70577 · Cited by 716 · see citing works
Vizster: Visualizing Online Social Networks
Heer, J., & boyd, D. (2006) · IEEE Symposium on Information Visualization · doi:10.1109/infovis.2005.39 · Cited by 544 · see citing works
Visualization Rhetoric: Framing Effects in Narrative Visualization
Hullman, J. R., & Diakopoulos, N. A. (2011) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2011.255 · Cited by 505 · see citing works
Self-citationRapid responding increases belief bias: Evidence for the dual-process theory of reasoning
Evans, J. S. B. T., & Curtis-Holmes, J. (2005) · Thinking & Reasoning · doi:10.1080/13546780542000005 · Cited by 418 · see citing works
The Roles of Mental Animations and External Animations in Understanding Mechanical Systems
Hegarty, M., Kriz, S., & Cate, C. (2003) · Cognition and Instruction · doi:10.1207/s1532690xci2104_1 · Cited by 404 · cited 1× · see citing works
“Various studies in visualization indicate that a viewer’s internal representations, including prior knowledge and beliefs, impact how they reason with a visualization [17, 18, 26, 29, 34, 19].”
BackgroundCreative problem solving as a result of majority vs minority influence
Nemeth, C. J., & Wachtler, J. (1983) · European Journal of Social Psychology · doi:10.1002/ejsp.2420130103 · Cited by 329 · see citing works
Sá, W. C., West, R. F., & Stanovich, K. E. (1999) · Journal of Educational Psychology · doi:10.1037/0022-0663.91.3.497 · Cited by 311 · see citing works
Bars and lines: A study of graphic communication
Zacks, J., & Tversky, B. (1999) · Memory & Cognition · doi:10.3758/bf03201236 · Cited by 300 · see citing works
Scented Widgets: Improving Navigation Cues with Embedded Visualizations
Willett, W., Heer, J., & Agrawala, M. (2007) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2007.70589 · Cited by 277 · see citing works
Heer, J., Viégas, F., & WATTENBERG, M. P. (2007) · ACM SIGCHI Conference on Human Factors in Computing Systems (CHI) · doi:10.1145/1240624.1240781 · Cited by 267 · see citing works
Mental Models, Visual Reasoning and Interaction in Information Visualization: A Top-down Perspective
Liu, Z., & Stasko, J. (2010) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2010.177 · Cited by 256 · see citing works
Designing Incentives for Inexpert Human Raters
Shaw, A., Horton, J. J., & Chen, D. L. (2010) · ACM Conference on Computer Supported Cooperative Work (CSCW) · doi:10.1145/1958824.1958865 · Cited by 253 · see citing works
Design Considerations for Collaborative Visual Analytics
Heer, J., & Agrawala, M. (2007) · IEEE Conference on Visual Analytics Science and Technology (VAST) · doi:10.1109/vast.2007.4389011 · Cited by 240 · see citing works
Shah, P., Hegarty, M., & Mayer, R. E. (1999) · Journal of Educational Psychology · doi:10.1037/0022-0663.91.4.690 · Cited by 235 · see citing works
EFFECTS OF GROUP PRESSURE UPON THE MODIFICATION AND DISTORTION OF JUDGMENTS
Asch, S. E. (2023) · University of California Press eBooks · doi:10.2307/jj.5233080.20 · Cited by 231 · see citing works
The Persuasive Power of Data Visualization
Pandey, A. V., Manivannan, A., Nov, O., Satterthwaite, M., & Bertini, E. (2014) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2014.2346419 · Cited by 217 · see citing works
Klaczynski, P. A. (2000) · Child Development · doi:10.1111/1467-8624.00232 · Cited by 212 · see citing works
Vizster: visualizing online social networks
Heer, J., & boyd, D. (2005) · IEEE Symposium on Information Visualization · doi:10.1109/infvis.2005.1532126 · Cited by 182 · see citing works
Deep Interactions with MRP: Election Turnout and Voting Patterns Among Small Electoral Subgroups
Ghitza, Y., & Gelman, A. (2013) · American Journal of Political Science · doi:10.1111/ajps.12004 · Cited by 181 · see citing works
Science and Practice: A Case for Medical Informatics as a Local Science of Design
Patel, V. L., & Kaufman, D. R. (1998) · Journal of the American Medical Informatics Association · doi:10.1136/jamia.1998.0050489 · Cited by 163 · see citing works
Design Considerations for Collaborative Visual Analytics
Heer, J., & Agrawala, M. (2008) · Information Visualization · doi:10.1057/palgrave.ivs.9500167 · Cited by 158 · see citing works
Graphic displays in decision making — the visual salience effect
Järvenpää, S. L. (1990) · Journal of Behavioral Decision Making · doi:10.1002/bdm.3960030403 · Cited by 148 · see citing works
Baby Names, Visualization, and Social Data Analysis
WATTENBERG, M. P. (2006) · IEEE Symposium on Information Visualization · doi:10.1109/infovis.2005.7 · Cited by 124 · see citing works
Reinecke, K., & Gajos, K. Z. (2015) · ACM Conference on Computer Supported Cooperative Work (CSCW) · doi:10.1145/2675133.2675246 · Cited by 120 · see citing works
Self-citationWillett, W., Heer, J., Hellerstein, J. M., & Agrawala, M. (2011) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/1978942.1979407 · Cited by 114 · see citing works
Designing for social data analysis
WATTENBERG, M. P., & Kriss, G. A. (2006) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2006.65 · Cited by 114 · see citing works
Kim, Y., Reinecke, K., & Hullman, J. R. (2017) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3025453.3025592 · Cited by 105 · see citing works
Self-citationDiagrams in the Mind and in the World: Relations between Internal and External Visualizations
Hegarty, M. (2004) · Lecture notes in computer science · doi:10.1007/978-3-540-25931-2_1 · Cited by 93 · see citing works
Individual differences in use of diagrams as external memory in mechanical reasoning
Hegarty, M., & Steinhoff, K. (1997) · Learning and Individual Differences · doi:10.1016/s1041-6080(97)90018-2 · Cited by 88 · see citing works
Trafton, J. G., Trickett, S. B., & Mintz, F. E. (2005) · Foundations of Science · doi:10.1007/s10699-005-3007-4 · Cited by 77 · see citing works
The impact of social information on visual judgments
Hullman, J. R., Adar, E., & Shah, P. (2011) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/1978942.1979157 · Cited by 72 · see citing works
Self-citationStimulus complexity and information integration in the spontaneous interpretations of line graphs
Carswell, C. M., Emery, C. D., & Lonon, A. M. (1993) · Applied Cognitive Psychology · doi:10.1002/acp.2350070407 · Cited by 62 · see citing works
Baby names, visualization, and social data analysis
WATTENBERG, M. P. (2005) · IEEE Symposium on Information Visualization · doi:10.1109/infvis.2005.1532122 · Cited by 56 · see citing works
Flagged first, then by citations
2 of the 46 references couldn’t be matched to a known paper.
Cited by
Sorted by citations
Human factors in model interpretability: Industry practices, challenges, and needs
Hong, S. R., Hullman, J., & Bertini, E. (2020) · Proceedings of the ACM on Human-Computer Interaction · doi:10.1145/3392878 · Cited by 219 · see citing works
Self-citationPeck, E. M., Ayuso, S. E., & El-Etr, O. (2019) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3290605.3300474 · Cited by 156 · see citing works
Ansari, B., Barati, M., & Martin, E. G. (2021) · Government Information Quarterly · doi:10.1016/j.giq.2021.101657 · Cited by 130 · see citing works
Information Dashboards and Tailoring Capabilities - A Systematic Literature Review
Vázquez‐Ingelmo, A., García‐Peñalvo, F. J., & Therón, R. (2019) · IEEE Access · doi:10.1109/access.2019.2933472 · Cited by 88 · see citing works
A Bayesian Cognition Approach to Improve Data Visualization
Kim, Y.-S., Walls, L. A., Krafft, P., & Hullman, J. (2019) · Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3290605.3300912 · Cited by 76 · see citing works
Self-citationIllusion of Causality in Visualized Data
Xiong, C., Shapiro, J., Hullman, J., & Franconeri, S. (2020) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2019.2934399 · Cited by 71 · see citing works
Self-citationA Framework for Externalizing Implicit Error Using Visualization
McCurdy, N., Gerdes, J., & Meyer, M. (2018) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2018.2864913 · Cited by 59 · see citing works
Communicating with Interactive Articles
Hohman, F., Conlen, M., Heer, J., & Chau, D. H. (2020) · Distill · doi:10.23915/distill.00028 · Cited by 46 · see citing works
Data Hunches: Incorporating Personal Knowledge into Visualizations
Lin, H., Akbaba, D., Meyer, M., & Lex, A. (2022) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2022.3209451 · Cited by 43 · see citing works
Decision-Making Under Uncertainty in Research Synthesis
Kale, A. M., Kay, M., & Hullman, J. R. (2019) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3290605.3300432 · Cited by 49 · see citing works
Self-citationKarduni, A., Markant, D. B., Wesslen, R. S., & Wenwen Dou, A. (2020) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2020.3029412 · Cited by 37 · see citing works
Do You See What I See? A Qualitative Study Eliciting High-Level Visualization Comprehension
Quadri, G. J., Wang, A. Z., Wang, Z., Nieves, J. A., Rosen, P., & Szafir, D. A. (2024) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3613904.3642813 · Cited by 37 · see citing works
Ke, J., Liao, P.-Y., Li, J., & Luo, X. (2023) · Automation in Construction · doi:10.1016/j.autcon.2023.105029 · Cited by 38 · see citing works
Vistrust: a Multidimensional Framework and Empirical Study of Trust in Data Visualizations
Elhamdadi, H., Stefkovics, Á., Beyer, J., Mörth, E., Pfister, H., Xiong, C., & Nobre, C. (2023) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2023.3326579 · Cited by 30 · see citing works
How Do We Measure Trust in Visual Data Communication?
Elhamdadi, H., Gaba, A., Kim, Y., & Xiong, C. (2022) · IEEE Evaluation and Beyond - Methodological Approaches for Visualization (BELIV) · doi:10.1109/beliv57783.2022.00014 · Cited by 28 · see citing works
Self-citationBaumer, E. P. S., Jasim, M., Sarvghad, A., & Mahyar, N. (2022) · Computer Graphics Forum · doi:10.1111/cgf.14518 · Cited by 26 · see citing works
Vázquez‐Ingelmo, A., García‐Peñalvo, F. J., Therón, R., & Conde, M. Á. (2020) · Applied Sciences · doi:10.3390/app10072306 · Cited by 26 · see citing works
Heuristics for Supporting Cooperative Dashboard Design
Setlur, V., Correll, M., Satyanarayan, A., & Tory, M. K. (2023) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2023.3327158 · Cited by 25 · see citing works
Entanglements for Visualization: Changing Research Outcomes through Feminist Theory
Akbaba, D., Klein, L. F., & Meyer, M. (2024) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2024.3456171 · Cited by 23 · see citing works
Concept-Driven Visual Analytics
Choi, I. K., Childers, J. T., Raveendranath, N. K., Mishra, S., Harris, K., & Reda, K. (2019) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3290605.3300298 · Cited by 21 · see citing works
Investigating Effects of Visual Anchors on Decision‐Making about Misinformation
Wesslen, R. S., Santhanam, S., Karduni, A., Cho, I., Shaikh, S., & Dou, W. (2019) · Computer Graphics Forum · doi:10.1111/cgf.13679 · Cited by 21 · see citing works
From Invisible to Visible: Impacts of Metadata in Communicative Data Visualization
Burns, A., Lee, C., On, T., Xiong, C., Peck, E. M., & Mahyar, N. (2022) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2022.3231716 · Cited by 21 · see citing works
Do You Trust What You See? Toward A Multidimensional Measure of Trust in Visualization
Pandey, S., McKinley, O. G., Crouser, R. J., & Ottley, A. (2023) · Visualization · doi:10.1109/vis54172.2023.00014 · Cited by 19 · see citing works
Attitudinal Effects of Data Visualizations and Illustrations in Data Stories
Garretón, M., Morini, F., Celhay, P., Dörk, M., & Parra, D. (2023) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2023.3248319 · Cited by 18 · see citing works
Capturing high-level requirements of information dashboards' components through meta-modeling
Vázquez‐Ingelmo, A., García‐Peñalvo, F. J., & Therón, R. (2019) · Ninth International Conference on Technological Ecosystems for Enhancing Multiculturality (TEEM'21) · doi:10.1145/3362789.3362837 · Cited by 18 · see citing works
VIBE: A Design Space for VIsual Belief Elicitation in Data Journalism
Mahajan, S., Chen, M., Karduni, A., Kim, Y., & Wall, E. (2022) · Computer Graphics Forum · doi:10.1111/cgf.14556 · Cited by 18 · see citing works
Self-citationData visualization and domain knowledge: Insights through focus groups of researchers in Spain
Vázquez‐Ingelmo, A., García‐Holgado, A., Verdugo-Castro, S., Therón, R., & García‐Peñalvo, F. J. (2024) · Computers in Human Behavior · doi:10.1016/j.chb.2024.108162 · Cited by 20 · see citing works
Kerns, S. H., & Wilmer, J. B. (2021) · Journal of Vision · doi:10.1167/jov.21.12.17 · Cited by 16 · see citing works
Dashboard Meta-Model for Knowledge Management in Technological Ecosystem: A Case Study in Healthcare
Vázquez‐Ingelmo, A., García‐Holgado, A., García‐Peñalvo, F. J., & Therón, R. (2019) · International Conference on Ubiquitous Computing and Ambient Intelligence (UCAmI) · doi:10.3390/proceedings2019031044 · Cited by 14 · see citing works
Data is Personal: Attitudes and Perceptions of Data Visualization in Rural PennsylvaniaPreprint
Peck, E. M., Ayuso, S. E., & El-Etr, O. (2019) · arXiv (Cornell University) · doi:10.48550/arxiv.1901.01920 · Cited by 14 · see citing works
Decision-Making Under Uncertainty in Research Synthesis: Designing for the Garden of Forking PathsPreprint
Kale, A. M., Kay, M., & Hullman, J. R. (2019) · arXiv (Cornell University) · doi:10.48550/arxiv.1901.02957 · Cited by 12 · see citing works
Self-citationHolder, E., & Xiong, C. (2023) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2023.3326512 · Cited by 16 · see citing works
Causal Perception in Question-Answering Systems
Law, P.-M., Lo, L. Y., Endert, A., Stasko, J., & Qu, H. (2021) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3411764.3445444 · Cited by 11 · see citing works
Representing Real-Time Multi-User Collaboration in Visualizations
Neogy, R., Zong, J., & Satyanarayan, A. (2020) · Visualization · doi:10.1109/vis47514.2020.00036 · Cited by 10 · see citing works
Vázquez‐Ingelmo, A., García‐Holgado, A., García‐Peñalvo, F. J., & Therón, R. (2020) · Sensors · doi:10.3390/s20154072 · Cited by 9 · see citing works
Rogha, M., Sah, S., Karduni, A., Markant, D. B., & Wenwen Dou, A. (2024) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2024.3355884 · Cited by 8 · see citing works
Taka, E., Stein, S., & Williamson, J. H. (2020) · Frontiers in Computer Science · doi:10.3389/fcomp.2020.567344 · Cited by 7 · see citing works
Unmasking Dunning-Kruger Effect in Visual Reasoning & Judgment
Chen, M., Liu, Y., & Wall, E. (2024) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2024.3456326 · Cited by 6 · see citing works
Vázquez‐Ingelmo, A., García‐Holgado, A., García‐Peñalvo, F. J., & Therón, R. (2021) · Expert Systems · doi:10.1111/exsy.12872 · Cited by 6 · see citing works
Trustworthy by Design: The Viewer's Perspective on Trust in Data Visualization
McKinley, O. G., Pandey, S., & Ottley, A. (2025) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3706598.3713824 · Cited by 5 · see citing works
Aggregation Bias: A Proposal to Raise Awareness Regarding Inclusion in Visual Analytics
Vázquez‐Ingelmo, A., García‐Peñalvo, F. J., & Therón, R. (2020) · Advances in intelligent systems and computing · doi:10.1007/978-3-030-45697-9_40 · Cited by 5 · see citing works
Representing uncertainty through sentiment and stance visualizations: A survey
Ramalho, B., Jorge, J. A., & Gama, S. P. (2023) · Graphical Models · doi:10.1016/j.gmod.2023.101191 · Cited by 3 · see citing works
Data Hunches: Incorporating Personal Knowledge into VisualizationsPreprint
Lin, H., Akbaba, D., Meyer, M., & Lex, A. (2022) · doi:10.31219/osf.io/zud5t · Cited by 3 · see citing works
Burns, A., & Gonzalez-Vazquez, C. (2025) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3706598.3713612 · Cited by 2 · see citing works
Waffster: Hierarchical waffle charts for budget visualization
Béland, A., Daudens, F., & Hurtut, T. (2023) · Information Visualization · doi:10.1177/14738716231173730 · Cited by 2 · see citing works
Data Guards: Challenges and Solutions for Fostering Trust in Data
Sultanum, N., Bromley, D., & Correll, M. (2024) · Visualization · doi:10.1109/vis55277.2024.00019 · Cited by 2 · see citing works
Holder, E., & Xiong, C. (2023) · doi:10.31219/osf.io/r8zy9 · Cited by 2 · see citing works
Do You “Trust” This Visualization? An Inventory to Measure Trust in Visualizations
Wang, H., Lin, K., Cohen, A. L., Kennedy, R., Zwald, Z., Nobre, C., & Xiong, C. (2025) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2025.3646847 · Cited by 1 · see citing works
He, C., Elmqvist, N., Bellucci, A., Munshi, M., & Jacucci, G. (2026) · ACM Computing Surveys · doi:10.1145/3788869 · Cited by 2 · see citing works
Crossing the Chasm: Bridging Visual Augmentations and Designer Intent
Snyder, L. S., Stone, M., & Heer, J. (2026) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2026.3671259 · Cited by 1 · see citing works
Building on disagreement visually : the system and the method
Alexander, E., Eppler, M. J., & Comi, A. (2018) · Alexandria (UniSG) (University of St.Gallen) · Cited by 1 · see citing works
2018 Index IEEE Transactions on Visualization and Computer Graphics Vol. 24
(2018) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2018.2885445 · Cited by 1 · see citing works
The Effect of Proximity in Social Data Charts on Perceived Unity
Promann, M., & Brunswicker, S. (2018) · IEEE Conference on Visual Analytics Science and Technology (VAST) · doi:10.1109/vast.2018.8802449
Kaiser, T., Lück, I., Feldmann, M., Hamm, A. O., & Brakemeier, E. (2020) · doi:10.2196/preprints.24847
Kaiser, T., Mögling, I., Feldmann, M., Hamm, A. O., & Brakemeier, E. (2022) · Internet Interventions · doi:10.1016/j.invent.2022.100545
Shifting Perspectives : Conducting Visualization Research with Entanglement Epistemology
Akbaba, D. (2025) · Linköping studies in science and technology. Dissertations · doi:10.3384/9789181181654
Woke Dataviz: Equitable Data Design For Visualizing People And Social Outcomes.
Holder, E. (2025) · ACM SIGGRAPH Conference (SIGGRAPH) · doi:10.1145/3721241.3736523
Li, Z. G., Zheng, C., Li, Z., & Shi, Y. (2025) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2025.3642509
Visualizing Opinion Space in Voting Advice Applications: A User Study
Damion, D. E. V., Mchedlidze, T., Oral, B., Dimara, E., Verboom, A. D. P. R., Kamoen, N., & Bearfield, C. X. (2025) · Visualization · doi:10.1109/vis60296.2025.00056
Swapped faces, swayed beliefs: How deepfakes affect trust in data videos with human narrators
Lan, X., Wang, X., & Tian, X. (2026) · Visual Informatics · doi:10.1016/j.visinf.2026.100326
- Authors
- Kim, Y.-S., Reinecke, K., & Hullman, J.
- Affiliations
- University of Washington (US)
- Venue
- IEEE Transactions on Visualization and Computer Graphics
- Published
- 2018-01
- Volume
- 24
- Issue
- 1
- Pages
- 760-769
- ISSN
- 1077-2626 (ISSN-L)
- OpenAlex
- W2751777857
- Cited by
- 60
- References
- 46
- Citations by year
- 2026: 3 · 2025: 7 · 2024: 6 · 2023: 9 · 2022: 7 · 2021: 4 · 2020: 9 · 2019: 11 · 2018: 4
- FWCI
- 2.73
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- IEEE Transactions on Visualization and Computer Graphics (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Data Visualization and Analytics
- Physical Sciences › Computer Science › Human-Computer Interaction › Innovative Human-Technology Interaction
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Visual and Cognitive Learning Processes
- Keywords
- interactive visualization, consensus
- MeSH terms
- Data Visualization, Computer Graphics, Humans, Motivation, Mental Recall, Social Perception, Databases, Factual, Trust, Crowdsourcing
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
