Ethical Dimensions of Visualization Research
Open accessAbstract
Visualizations have a potentially enormous influence on how data are used to make decisions across all areas of human endeavor. However, it is not clear how this power connects to ethical duties: what obligations do we have when it comes to visualizations and visual analytics systems, beyond our duties as scientists and engineers? Drawing on historical and contemporary examples, I address the moral components of the design and use of visualizations, identify some ongoing areas of visualization research with ethical dilemmas, and propose a set of additional moral obligations that we have as designers, builders, and researchers of visualizations.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
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?
Correll [9] calls for selecting datasets that are of social import or impact as means for advocating for positive change.
“Correll [9], referring to example data more generally, calls for selecting datasets that are of social import or impact as means for advocating for positive change.”
From Considering Visualization Example Galleries (2024) · cites this paper as [9]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
A Unified Approach to Interpreting Model Predictions
Lundberg, S., & Lee, S.-I. (2017) · arXiv · doi:10.48550/arxiv.1705.07874 · Cited by 23,707 · see citing works
Situated Knowledges: The Science Question in Feminism and the Privilege of Partial Perspective
Haraway, D. (1988) · Feminist Studies · doi:10.2307/3178066 · Cited by 18,364 · see citing works
"Why Should I Trust You?": Explaining the Predictions of Any Classifier
Ribeiro, M. T., Singh, S., & Guestrin, C. (2016) · Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining · doi:10.1145/2939672.2939778 · Cited by 17,555 · see citing works
Cook, R. J., Dickens, B. M., & Fathalla, M. F. (2003) · Oxford University Press eBooks · doi:10.1093/acprof:oso/9780199241323.003.0025 · Cited by 10,813 · see citing works
The Managed Heart: Commercialization of Human Feeling
Tropman, J. E., & Hochschild, A. R. (1984) · Journal of Policy Analysis and Management · doi:10.2307/3324333 · Cited by 8,747 · see citing works
Situated Knowledges: The Science Question in Feminism and the Privilege of Partial Perspective
Haraway, D. (1988) · PhilPapers (PhilPapers Foundation) · Cited by 6,992 · see citing works
Social Media and Fake News in the 2016 Election
Allcott, H., & Gentzkow, M. (2017) · Journal of Economic Perspectives · doi:10.1257/jep.31.2.211 · Cited by 6,767 · see citing works
“Why Should I Trust You?”: Explaining the Predictions of Any Classifier
Ribeiro, M., Singh, S., & Guestrin, C. (2016) · Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Demonstrations · doi:10.18653/v1/n16-3020 · Cited by 6,682 · see citing works
boyd, D., & Crawford, K. (2012) · Information, Communication & Society · doi:10.1080/1369118x.2012.678878 · Cited by 5,479 · see citing works
The mythos of model interpretability
Lipton, Z. C. (2018) · Communications of the ACM · doi:10.1145/3233231 · Cited by 5,427 · see citing works
Henrich, J., Heine, S. J., & Norenzayan, A. (2010) · Nature · doi:10.1038/466029a · Cited by 3,441 · see citing works
Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy
Doyle, T. (2017) · The Information Society · doi:10.1080/01972243.2017.1354593 · Cited by 3,110 · see citing works
(2016) · Cited by 2,334 · see citing works
THE QUESTION CONCERNING TECHNOLOGY
(2018) · University of Iowa Press eBooks · doi:10.2307/j.ctt20ks1bm.5 · Cited by 1,939 · see citing works
(2009) · Cited by 1,900 · see citing works
Hursthouse, R. (1999) · Cited by 1,678 · see citing works
Narrative Visualization: Telling Stories with Data
Segel, E., & Heer, J. (2010) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2010.179 · Cited by 1,334 · see citing works
(2013) · The MIT Press eBooks · doi:10.7551/mitpress/9302.001.0001 · Cited by 1,173 · see citing works
(2016) · Cited by 1,111 · see citing works
Counterfactual explanations without opening the black box: automated decisions and the GDPR
Wachter, S., Mittelstadt, B., & Russell, C. (2017) · SSRN Electronic Journal · doi:10.2139/ssrn.3063289 · Cited by 1,061 · see citing works
The Gulf War Did Not Take Place.
Pfohl, S., Baudrillard, J., & Patton, P. (1997) · Contemporary Sociology A Journal of Reviews · doi:10.2307/2076743 · Cited by 670 · see citing works
What Makes a Visualization Memorable?
Borkin, M. A., Vo, A. A., Bylinskii, Z., Isola, P., Sunkavalli, S., Oliva, A., & Pfister, H. (2013) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2013.234 · Cited by 667 · see citing works
The (Un)reliability of Saliency Methods
Kindermans, P.-J., Hooker, S., Adebayo, J., Alber, M., Schütt, K. T., Dähne, S., Erhan, D., & Kim, B. (2019) · Lecture notes in computer science · doi:10.1007/978-3-030-28954-6_14 · Cited by 652 · see citing works
An Introduction to Critical Cartography
Crampton, J. W., & Krygier, J. B. (2015) · ACME · doi:10.14288/acme.v4i1.723 · Cited by 582 · see citing works
Arendt, H. (2003) · Edinburgh University Press eBooks · doi:10.1515/9781474470230-039 · Cited by 576 · see citing works
(2016) · neural information processing systems · Cited by 556 · 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
Storytelling: The Next Step for Visualization
Kosara, R., & Mackinlay, J. (2013) · Computer · doi:10.1109/mc.2013.36 · Cited by 494 · see citing works
Callahan, S. P., Freire, J., Santos, E., Scheidegger, C., Silva, C. T., & Vo, H. T. (2006) · ACM SIGMOD International Conference on Management of Data (SIGMOD) · doi:10.1145/1142473.1142574 · Cited by 480 · see citing works
Toward measuring visualization insight
North, C. (2006) · IEEE Computer Graphics and Applications · doi:10.1109/mcg.2006.70 · Cited by 456 · see citing works
ACM code of ethics and professional conduct
Anderson, R. E. (1992) · Communications of the ACM · doi:10.1145/129875.129885 · Cited by 404 · see citing works
Useful junk?: the effects of visual embellishment on comprehension and memorability of charts
Bateman, S., Mandryk, R. L., Gutwin, C., Genest, A., McDine, D., & Brooks, C. (2010) · Proceedings of the SIGCHI Conference on Human Factors in Computing Systems · doi:10.1145/1753326.1753716 · Cited by 404 · see citing works
Mapping: A Critical Introduction to Cartography and GIS
Wicks, T. E. (2010) · The Photogrammetric Record · doi:10.1111/j.1477-9730.2010.00610.x · Cited by 393 · see citing works
Researchers Misunderstand Confidence Intervals and Standard Error Bars.
Belia, S., Fidler, F., Williams, J., & Cumming, G. (2005) · Psychological Methods · doi:10.1037/1082-989x.10.4.389 · Cited by 390 · see citing works
Beyond Memorability: Visualization Recognition and Recall
Borkin, M. A., Bylinskii, Z., Kim, N. W., Bainbridge, C. M., Yeh, C. S., Borkin, D., Pfister, H., & Oliva, A. (2015) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2015.2467732 · Cited by 385 · see citing works
Gitelman, L. (2013) · Cited by 364 · see citing works
Black, E. (2001) · DigitalGeorgetown (Georgetown University Library) · Cited by 341 · see citing works
Visualizing Dataflow Graphs of Deep Learning Models in TensorFlow
Wongsuphasawat, K., Smilkov, D., Wexler, J., Wilson, J., Mané, D., Fritz, D., Krishnan, D., Viégas, F. B., & WATTENBERG, M. P. (2017) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2017.2744878 · Cited by 332 · see citing works
ON SOME VICES OF VIRTUE ETHICS
Louden, R. B. (1997) · American Philosophical Quarterly · Cited by 330 · see citing works
Williams, B. A. O., & Nagel, T. (1976) · Aristotelian Society Supplementary Volume · doi:10.1093/aristoteliansupp/50.1.115 · Cited by 296 · see citing works
The work that visualisation conventions do
Kennedy, H., Hill, R. L., Aiello, G., & Allen, W. (2016) · Information Communication & Society · doi:10.1080/1369118x.2016.1153126 · Cited by 278 · see citing works
(2007) · Digital Commons at University of Maryland Carey Law (University of Maryland Francis King Carey School of Law) · Cited by 277 · see citing works
(2011) · Choice Reviews Online · doi:10.5860/choice.48-3417 · Cited by 271 · see citing works
Error Bars Considered Harmful: Exploring Alternate Encodings for Mean and Error
Correll, M., & Gleicher, M. (2014) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2014.2346298 · Cited by 258 · see citing works
Self-citationvan Wijk, J. J. (2006) · doi:10.1109/vis.2005.102 · Cited by 253 · see citing works
Kay, M., Kola, T., Hullman, J. R., & Munson, S. A. (2016) · Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems · doi:10.1145/2858036.2858558 · Cited by 239 · see citing works
Mapping: A Critical Introduction to Cartography and GIS
Crampton, J. W. (2010) · Cited by 228 · see citing works
Talbot, J., Lee, B., Kapoor, A., & Tan, D. S. (2009) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/1518701.1518895 · Cited by 226 · see citing works
Vartak, M., Rahman, S., Madden, S. R., Parameswaran, A., & Polyzotis, N. (2015) · Proceedings of the VLDB Endowment · doi:10.14778/2831360.2831371 · Cited by 222 · see citing works
Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy
Verma, S. (2019) · Vikalpa: The Journal for Decision Makers · doi:10.1177/0256090919853933 · Cited by 219 · 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
Automated extraction and visualization of information for technological intelligence and forecasting
Zhu, D., & Porter, A. L. (2002) · Technological Forecasting and Social Change · doi:10.1016/s0040-1625(01)00157-3 · Cited by 196 · see citing works
Henrich, J., Heine, S. J., & Norenzayan, A. (2015) · American Psychological Association eBooks · doi:10.1037/14805-007 · Cited by 194 · see citing works
In Pursuit of Error: A Survey of Uncertainty Visualization Evaluation
Hullman, J., Qiao, X., Correll, M., Kale, A., & Kay, M. (2019) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2018.2864889 · Cited by 187 · see citing works
Self-citationAssessing the Effect of Visualizations on Bayesian Reasoning through Crowdsourcing
Micallef, L., Dragicevic, P., & Fekete, J. (2012) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2012.199 · Cited by 163 · see citing works
Dörk, M., Feng, P., Collins, C. M., & Carpendale, S. (2013) · CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA) · doi:10.1145/2468356.2468739 · Cited by 150 · see citing works
Against empathy: The case for rational compassion
Shackford, S. R. (2018) · The Journal of Trauma: Injury, Infection, and Critical Care · doi:10.1097/ta.0000000000002071 · Cited by 139 · see citing works
Non-expert interpretations of hurricane forecast uncertainty visualizations
Ruginski, I. T., Boone, A. P., Padilla, L., Liu, L., Heydari, N. D., Kramer, H., Hegarty, M., Thompson, W. B., House, D. H., & Creem-Regehr, S. H. (2016) · Spatial Cognition and Computation · doi:10.1080/13875868.2015.1137577 · Cited by 134 · see citing works
Wall, E., Blaha, L. M., Franklin, L. R., & Endert, A. (2017) · IEEE Conference on Visual Analytics Science and Technology (VAST) · doi:10.1109/vast.2017.8585669 · Cited by 129 · see citing works
The Moral Character of Cryptographic WorkPreprint
Rogaway, P. (2016) · IACR Cryptology ePrint Archive · Cited by 127 · see citing works
Frames and Slants in Titles of Visualizations on Controversial Topics
Kong, H., Liu, Z., & Karahalios, K. G. (2018) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3173574.3174012 · Cited by 123 · see citing works
Humanistic Theory and Digital Scholarship
Drucker, J. (2012) · University of Minnesota Press eBooks · doi:10.5749/minnesota/9780816677948.003.0011 · Cited by 122 · see citing works
D’Ignazio, C., & Klein, L. F. (2016) · Cited by 118 · see citing works
Boy, J., Pandey, A. V., Emerson, J., Satterthwaite, M., Nov, O., & Bertini, E. (2017) · Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3025453.3025512 · Cited by 104 · see citing works
Sketchy Rendering for Information Visualization
Wood, J., Isenberg, P., Tobias Isenberg, A., Dykes, J. A., Boukhelifa, N., & Slingsby, A. (2012) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2012.262 · Cited by 95 · see citing works
Investigating the Effect of the Multiple Comparisons Problem in Visual Analysis
Zgraggen, E., Zhao, Z., Zeleznik, R. C., & Kraska, T. (2018) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3173574.3174053 · Cited by 94 · see citing works
The Attraction Effect in Information Visualization
Dimara, E., Bezerianos, A., & Dragicevic, P. (2017) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2016.2598594 · Cited by 89 · see citing works
Engaging the ethics of data science in practice
Barocas, S., & Boyd, D. (2017) · Communications of the ACM · doi:10.1145/3144172 · Cited by 86 · cited 1× · see citing works
“Rather, the process of observing the world and quantifying it is a political act, and deserves ethical consideration [6].”
BackgroundExplainers: Expert Explorations with Crafted Projections
Gleicher, M. L. (2013) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2013.157 · Cited by 80 · see citing works
The ACM Code of Ethics and Professional Conduct
Brinkman, B., & Carter, K. (2017) · doi:10.1145/3017680.3022340 · Cited by 67 · see citing works
Design Exposition with Literate Visualization
Wood, J., Kachkaev, A., & Dykes, J. A. (2018) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2018.2864836 · Cited by 61 · see citing works
Mitigating the Attraction Effect with Visualizations
Dimara, E., Bailly, G., Bezerianos, A., & Franconeri, S. (2018) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2018.2865233 · Cited by 61 · see citing works
The design and composition of persuasive maps
Muehlenhaus, I. (2013) · Cartography and Geographic Information Science · doi:10.1080/15230406.2013.783450 · Cited by 55 · see citing works
Ashworth, J., Geys, B., & Heyndels, B. (2006) · Public Choice · doi:10.1007/s11127-005-9006-8 · Cited by 54 · see citing works
HindSight: Encouraging Exploration through Direct Encoding of Personal Interaction History
Feng, M., Deng, C., Peck, E. M., & Harrison, L. (2016) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2016.2599058 · Cited by 52 · see citing works
Cotter, C. (2010) · doi:10.1017/cbo9780511811975.016 · Cited by 50 · see citing works
(2021) · University of Pittsburgh Press eBooks · doi:10.2307/j.ctv1ghv4s4.8 · Cited by 46 · see citing works
Adaptive Privacy-Preserving Visualization Using Parallel Coordinates
Dasgupta, A., & Kosara, R. (2011) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2011.163 · Cited by 45 · see citing works
Hill, R. L., Kennedy, H., & Gerrard, Y. (2016) · Journal of Communication Inquiry · doi:10.1177/0196859916666041 · Cited by 43 · see citing works
Wang, X., Chen, W., Chou, J., Bryan, C., Guan, H., Chen, W., Pan, R., & Ma, K. (2018) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2018.2865021 · Cited by 43 · see citing works
Argument and Authority in the Visual Representations of Science
Richards, A. R. (2003) · Technical Communication Quarterly · doi:10.1207/s15427625tcq1202_3 · Cited by 42 · see citing works
Hecht, B. J., Wilcox, L. G., Bigham, J. P., Schöning, J., Hoque, M. E., Ernst, J. B., Bisk, Y., Russis, L. D., Yarosh, S., Anjum, B., et al. (2021) · arXiv (Cornell University) · doi:10.48550/arxiv.2112.09544 · Cited by 37 · see citing works
Boukhelifa, N., & Duke, D. J. (2009) · CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA) · doi:10.1145/1520340.1520616 · Cited by 36 · see citing works
Wacharamanotham, C., Subramanian, K., Völkel, S. T., & Borchers, J. (2015) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/2702123.2702347 · Cited by 35 · see citing works
Professional Services, IBM, and the Holocaust
Dillard, J. (2003) · Journal of Information Systems · doi:10.2308/jis.2003.17.2.1 · Cited by 31 · see citing works
Designing for Uncertainty in HCI
Greis, M., Hullman, J. R., Correll, M., Kay, M., & Shaer, O. (2017) · CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA) · doi:10.1145/3027063.3027091 · Cited by 29 · see citing works
Self-citationKosara, R., & Haroz, S. (2018) · IEEE Evaluation and Beyond - Methodological Approaches for Visualization (BELIV) · doi:10.1109/beliv.2018.8634392 · Cited by 26 · see citing works
Toward Sustainable Insights, or Why Polygamy is Bad for You.
Binnig, C., Stefani, L. D., Kraska, T., Upfal, E., Zgraggen, E., & Zhao, Z. (2017) · Conference on Innovative Data Systems Research · Cited by 25 · see citing works
Vines, P., Roesner, F., & Kohno, T. (2017) · doi:10.1145/3139550.3139567 · Cited by 19 · see citing works
Skipping the Replication Crisis in Visualization: Threats to Study Validity and How to Address ThemPreprint
Kosara, R., & Haroz, S. (2018) · doi:10.31219/osf.io/f8qey · Cited by 9 · see citing works
Pu, X., & Kay, M. (2018) · doi:10.31219/osf.io/4jbh2 · Cited by 7 · see citing works
Flagged first, then by citations
6 of the 99 references couldn’t be matched to a known paper.
Research works printed but not linked: 16
- Hannah Arendt. 2006. Eichmann in jerusalem. Penguin.
- 10.5555/516978 · DOI
- danah boyd. 2016. Undoing the neutrality of big data. Florida Law Review 67 (2016), 226--232.
- Maciej Ceglowski. 2014. The Internet with a Human Face. talk at Beyond Tellerrand in Düsseldorf, Germany, on 20 (2014).
- Michael Correll and Jeffrey Heer. 2017. Black hat visualization. In Workshop on Dealing with Cognitive Biases in Visualisations (DECISIVe), IEEE VIS.
- Craig Dalton and Jim Thatcher. 2014. What does a critical data studies look like, and why do we care? Seven points for a critical approach to ?big data'. Society and Space 29 (2014).
- Catherine D'Ignazio and Lauren Klein. 2019. Data Feminism. MIT Press. 2018 Draft.
- Sam Dragga and Dan Voss. 2001. Cruel pies: The inhumanity of technical illustrations. Technical communication 48, 3 (2001), 265-- 274.
- W.E.B. Du Bois. 1900. Proportion of freemen and slaves among American Negroes. http://hdl.loc.gov/loc.pnp/ppmsca.33913. A series of statistical charts illustrating the condition of the descendants CHI 2019 May 4--9 2019 Glasgow Scotland Uk Michael Correll of former African slaves now in residence in the United States of America.
- W.E.B. Du Bois et al. 1926. Criteria of Negro art. Crisis 32, 6 (1926), 290--297.
- Ryan Gallagher. 2018. Google Shut Out Privacy and Security Teams From Secret China Project. The Intercept (Nov 2018). https: //theintercept.com/2018/11/29/google-china-censored-search/
- Ryan Gallagher. 2018. Senior Google Scientist Resigns Over "Foreiture of our Values" in China. The Intercept (Sep 2018). https://theintercept. com/2018/09/13/google-china-search-engine-employee-resigns/
- 10.5555/3002861 · DOI
- DJ Patil Hilary Mason and Mike Loukides. 2018. Ethics and Data Science. O'Reilly.
- Jack Poulson. 2018. I Quit Google Over Its Censored Chinese Search Engine. The Company Needs to Clarify Its Position on Human Rights. The Intercept (Sep 2018). https://theintercept.com/2018/ 12/01/google-china-censorship-human-rights/
- Sarah Slobin. 2014. What If the Data Visualization is Actually People? Source (Apr 2014). https://source.opennews.org/articles/ what-if-data-visualization-actually-people/
Cited by
Sorted by citations
Counterfactual Explanations and Algorithmic Recourses for Machine Learning: A Review
Verma, S., Boonsanong, V., Hoang, M., Hines, K., Dickerson, J. P., & Shah, C. S. (2024) · ACM Computing Surveys · doi:10.1145/3677119 · Cited by 456 · see citing works
Counterfactual Explanations and Algorithmic Recourses for Machine Learning: A Review
Verma, S., Boonsanong, V., Hoang, M., Hines, K. E., Dickerson, J. P., & Shah, C. (2020) · arXiv · doi:10.48550/arxiv.2010.10596 · Cited by 267 · see citing works
Counterfactual Explanations for Machine Learning: A Review.Preprint
Verma, S., Dickerson, J. P., & Hines, K. (2020) · arXiv (Cornell University) · Cited by 223 · see citing works
Lee, C., Yang, T., Inchoco, G. D., Jones, G. M., & Satyanarayan, A. (2021) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3411764.3445211 · Cited by 192 · see citing works
Criteria for Rigor in Visualization Design Study
Meyer, M., & Dykes, J. A. (2019) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2019.2934539 · Cited by 143 · see citing works
Suresh, H., Gomez, S. R., Nam, K. K., & Satyanarayan, A. (2021) · Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3411764.3445088 · Cited by 117 · see citing works
What is Interaction for Data Visualization?
Dimara, E., & Périn, C. (2019) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2019.2934283 · Cited by 113 · see citing works
Surfacing Visualization Mirages
McNutt, A. M., Kindlmann, G., & Correll, M. (2020) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3313831.3376420 · Cited by 95 · see citing works
Self-citationEffect of Information Presentation on Fairness Perceptions of Machine Learning Predictors
van Berkel, N., Goncalves, J., Russo, D., Hosio, S., & Skov, M. B. (2021) · Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3411764.3445365 · Cited by 84 · see citing works
Affective Learning Objectives for Communicative Visualizations
Lee-Robbins, E., & Adar, E. (2022) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2022.3209500 · Cited by 79 · see citing works
Challenges and Opportunities in Data Visualization Education: A Call to Action
Bach, B., Keck, M., Rajabiyazdi, F., Losev, T., Meirelles, I., Dykes, J. A., Laramee, R. S., AlKadi, M., Stoiber, C., Huron, S., et al. (2023) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2023.3327378 · Cited by 71 · see citing works
Pang, R. Y., Schroeder, H., Smith, K. S., Barocas, S., Xiao, Z., Tseng, E., & Bragg, D. (2025) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3706598.3713726 · Cited by 68 · see citing works
VisText: A Benchmark for Semantically Rich Chart Captioning
Tang, B. J., Boggust, A., & Satyanarayan, A. (2023) · Proceedings of the conference - Association for Computational Linguistics. Meeting · doi:10.18653/v1/2023.acl-long.401 · Cited by 68 · see citing works
A Critical Reflection on Visualization Research: Where Do Decision Making Tasks Hide?
Dimara, E., & Stasko, J. (2022) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2021.3114813 · Cited by 60 · see citing works
Showing Data About People: A Design Space of Anthropographics
Morais, L., Jansen, Y., Andrade, N., & Dragicevic, P. (2020) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2020.3023013 · Cited by 52 · see citing works
Häkkilä, J., Hannula, P., Luiro, E., Launne, E., Mustonen, S., Westerlund, T., & Colley, A. (2019) · International Conference on Mobile and Ubiquitous Multimedia (MUM) · doi:10.1145/3365610.3368425 · Cited by 50 · see citing works
Lyra 2: Designing Interactive Visualizations by Demonstration
Zong, J., Barnwal, D., Neogy, R., & Satyanarayan, A. (2020) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2020.3030367 · Cited by 49 · see citing works
Exploring The Future of Data-Driven Product Design
Gorkovenko, K., Burnett, D. J., Thorp, J. K., Richards, D., & Murray-Rust, D. (2020) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3313831.3376560 · Cited by 46 · 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
Lan, X., Wu, Y., Shi, Y., Chen, Q., & Cao, N. (2022) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3491102.3517530 · Cited by 44 · see citing works
A Scoping Review of Ethics Across SIGCHI
Vilaza, G. N., Doherty, K., McCashin, D., Coyle, D., Bardram, J. E., & Barry, M. (2022) · Designing Interactive Systems Conference · doi:10.1145/3532106.3533511 · Cited by 43 · 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
Troubling Collaboration: Matters of Care for Visualization Design Study
Akbaba, D., Lange, D., Correll, M., Lex, A., & Meyer, M. (2023) · Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3544548.3581168 · Cited by 40 · see citing works
Self-citationVisualization Design Practices in a Crisis: Behind the Scenes With COVID-19 Dashboard Creators
Zhang, Y., Sun, Y., Gaggiano, J. D., Kumar, N., Andris, C., & Parker, A. G. (2022) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2022.3209493 · Cited by 31 · see citing works
Counterfactual Explanations for Machine Learning: Challenges RevisitedPreprint
Verma, S., Dickerson, J. P., & Hines, K. (2021) · arXiv (Cornell University) · doi:10.48550/arxiv.2106.07756 · Cited by 30 · see citing works
Design Sensibilities - Designing for Cultural Sensitivity
Häkkilä, J., Wiberg, M., Eira, N. J., Seppänen, T., Juuso, I., Mäkikalli, M., & Wolf, K. (2020) · Nordic Conference on Human-Computer Interaction · doi:10.1145/3419249.3420100 · Cited by 29 · see citing works
Deconstructing Categorization in Visualization Recommendation: A Taxonomy and Comparative Study
Lee, D. J., Setlur, V., Tory, M. K., Karahalios, K. G., & Parameswaran, A. (2021) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2021.3085751 · Cited by 29 · see citing works
Bhattacharjee, K., Chen, M., & Dasgupta, A. (2020) · Computer Graphics Forum · doi:10.1111/cgf.14032 · Cited by 28 · see citing works
Stokes, C., Xiong, C., & Hearst, M. A. (2023) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2023.3338451 · Cited by 27 · see citing works
Baumer, E. P. S., Jasim, M., Sarvghad, A., & Mahyar, N. (2022) · Computer Graphics Forum · doi:10.1111/cgf.14518 · Cited by 26 · 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
Jasim, M., Hoque, E., Sarvghad, A., & Mahyar, N. (2021) · Designing Interactive Systems Conference · doi:10.1145/3461778.3462132 · Cited by 23 · see citing works
Same Data, Diverging Perspectives: The Power of Visualizations to Elicit Competing Interpretations
Xiong, C., van Weelden, L., Waytz, A. G., & Franconeri, S. (2024) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2024.3388515 · Cited by 21 · see citing works
Zehrung, R., Singhal, A., Correll, M., & Battle, L. (2021) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3411764.3445195 · Cited by 21 · see citing works
Self-citationSituating Datasets: Making Public Eviction Data Actionable for Housing Justice
Tran, A.-T., Guo, G., Taylor, J., Chan, K. A., Raymond, E. L., & DiSalvo, C. F. (2024) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3613904.3642452 · Cited by 20 · see citing works
Lamqaddam, H., Moere, A. V., Abeele, V. V., Brosens, K., & Verbert, K. (2020) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2020.3030426 · Cited by 20 · see citing works
The algorithmic public opinion: a literature reviewPreprint
Gandini, A., Gerosa, A., Gobbo, B., Keeling, S., Leonini, L., Mosca, L., Orofino, M., Reviglio, U., & Splendore, S. (2022) · doi:10.31235/osf.io/m6zn8 · Cited by 20 · see citing works
Panagiotidou, G., Poblome, J., Aerts, J. A., & Moere, A. V. (2022) · Computer Supported Cooperative Work (CSCW) · doi:10.1007/s10606-022-09432-9 · Cited by 19 · see citing works
We are the Data: Challenges and Opportunities for Creating Demographically Diverse Anthropographics
Dhawka, P., He, H. A., & Willett, W. (2023) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3544548.3581086 · Cited by 17 · see citing works
Gaba, A., Setlur, V., Srinivasan, A., Hoffswell, J., & Xiong, C. (2022) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2022.3209456 · Cited by 16 · see citing works
Card-Based Approach to Engage Exploring Ethics in AI for Data Visualization
Wang, Z., Hao, S., & Carpendale, S. (2024) · CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA) · doi:10.1145/3613905.3650972 · Cited by 15 · see citing works
DebateVis: Visualizing Political Debates for Non-Expert Users
South, L., Schwab, M., Beauchamp, N., Wang, L., Wihbey, J., & Borkin, M. A. (2020) · Visualization · doi:10.1109/vis47514.2020.00055 · Cited by 15 · see citing works
Lan, X., & Liu, Y. (2024) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2024.3456341 · Cited by 13 · see citing works
Elli, T., Bradley, A. J., Collins, C. M., Hinrichs, U., Hills, Z., & Kelsky, K. (2020) · IEEE VIS Arts Program (VISAP) · doi:10.1109/visap51628.2020.00010 · Cited by 13 · see citing works
Schaper, M.-M., & Parés, N. (2022) · CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA) · doi:10.1145/3491101.3503551 · Cited by 13 · see citing works
Equity Dashboards: Data Visualizations for Assessing Inequities in a Hospital Setting
Migita, D. S., Cooper, A., Barry, D., Bettinger, B., Tieder, A., & Sharek, P. J. (2023) · PEDIATRICS · doi:10.1542/peds.2022-058848 · Cited by 13 · see citing works
Snyder, J. (2020) · Designing Interactive Systems Conference · doi:10.1145/3357236.3395463 · Cited by 13 · see citing works
A Scoping Review of Informed Consent Practices in Human–Computer Interaction Research
Schwind, V., Tadesse, N. Z., da Cunha, E. S., Hamidi, Y., Sultani, S. S., & Sehrt, J. (2025) · ACM Transactions on Computer-Human Interaction · doi:10.1145/3721284 · Cited by 12 · see citing works
Untangling Rhetoric, Pathos, and Aesthetics in Data Visualization
Prantl, V. I., Möller, T. B., & Koesten, L. M. (2025) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2025.3628181 · Cited by 12 · see citing works
Bao, C., Li, S., Flores, S. G., Correll, M., & Battle, L. (2022) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3491102.3501891 · Cited by 12 · see citing works
Self-citationFischer, M. T., Hirsbrunner, S. D., Jentner, W., Miller, M., Keim, D. A., & Helm, P. (2022) · ACM Conference on Fairness, Accountability, and Transparency (FAccT) · doi:10.1145/3531146.3533151 · Cited by 12 · see citing works
Web-Based COVID-19 Dashboards and Trackers in the United States: Survey Study
Clarkson, M. D. (2023) · JMIR Human Factors · doi:10.2196/43819 · Cited by 11 · see citing works
When the Body Became Data: Historical Data Cultures and Anatomical Illustration
Correll, M., & Garrison, L. (2024) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3613904.3642056 · Cited by 11 · see citing works
Self-citationV-FRAMER: Visualization Framework for Mitigating Reasoning Errors in Public Policy
Ge, L. W., Easterday, M. W., Kay, M., Dimara, E., Cheng, P., & Franconeri, S. (2024) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3613904.3642750 · Cited by 11 · see citing works
Dritsa, D., & Houben, S. (2024) · ACM Transactions on Computer-Human Interaction · doi:10.1145/3685268 · Cited by 11 · see citing works
Reflections and Considerations on Running Creative Visualization Learning Activities
Roberts, J. C., Bach, B., Boucher, M., Chevalier, F., Diehl, A., Hinrichs, U., Huron, S., Kirk, A., Knudsen, S., Meirelles, I., et al. (2022) · 2022 IEEE 4th Workshop on Visualization Guidelines in Research, Design, and Education (VisGuides) · doi:10.1109/visguides57787.2022.00009 · Cited by 11 · see citing works
User Ex Machina : Simulation as a Design Probe in Human-in-the-Loop Text Analytics
Crisan, A., & Correll, M. (2021) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3411764.3445425 · Cited by 11 · see citing works
Self-citationCausal 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
Wang, J., Shu, X., Bach, B., & Hinrichs, U. (2024) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2024.3456311 · Cited by 10 · see citing works
Zhao, L., & Ye, W. (2022) · Convergence The International Journal of Research into New Media Technologies · doi:10.1177/13548565211069872 · Cited by 10 · see citing works
Iceberg Sensemaking: A Process Model for Critical Data Analysis
Berret, C., & Munzner, T. (2024) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2024.3486613 · Cited by 10 · see citing works
Divining Insights: Visual Analytics Through Cartomancy
McNutt, A. M., Crisan, A., & Correll, M. (2020) · CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA) · doi:10.1145/3334480.3381814 · Cited by 10 · see citing works
Self-citationCan GPT-4 Models Detect Misleading Visualizations?
Alexander, J., Nanda, P., Yang, K.-C., & Sarvghad, A. (2024) · Visualization · doi:10.1109/vis55277.2024.00029 · Cited by 9 · see citing works
Confirmation Bias: The Double-Edged Sword of Data Facts in Visual Data Communication
Li, S. H., Davidson, T. J., Xiong, C., & Wall, E. (2025) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3706598.3713831 · Cited by 9 · see citing works
Disentangling the Power Dynamics in Participatory Data Physicalisation
Cazacu, S., Panagiotidou, G., Steenberghen, T., & Moere, A. V. (2025) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3706598.3713703 · Cited by 9 · see citing works
Designing Technology for Sociotechnical Problems: Challenges and Considerations
Mahyar, N., Jasim, M., & Sarvghad, A. (2020) · IEEE Computer Graphics and Applications · doi:10.1109/mcg.2020.3017405 · Cited by 9 · see citing works
Governor: Turning Open Government Data Portals into Interactive Databases
Liu, C., Usta, A., Zhao, J., & Salihoğlu, S. (2023) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3544548.3580868 · Cited by 9 · see citing works
On the Potential of Zines as a Medium for Visualization
McNutt, A. M. (2021) · Visualization · doi:10.1109/vis49827.2021.9623294 · Cited by 9 · see citing works
Designing the Experience for Virtual Graveyard Heritage Sites
Häkkilä, J., Mustonen, S., Taikina-Aho, J.-M., Colley, J., Puljujärvi, M., & Paananen, S. (2024) · International Conference on Mobile and Ubiquitous Multimedia (MUM) · doi:10.1145/3701571.3703377 · Cited by 8 · see citing works
Cunha, B. M., & Barbosa, S. D. J. (2024) · Brazilian Symposium on Human Factors in Computing Systems (IHC) · doi:10.1145/3702038.3702093 · Cited by 8 · see citing works
Eleven Years of Gender Data Visualization: A Step Towards More Inclusive Gender Representation
Cabric, F., Bjarnadóttir, M. V., Ling, M., Rafnsdóttir, G. L., & Isenberg, P. (2023) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2023.3327369 · Cited by 8 · see citing works
Milesi, M. E., & Martínez‐Maldonado, R. (2024) · International Conference on Learning Analytics and Knowledge (LAK) · doi:10.1145/3636555.3636865 · Cited by 8 · see citing works
van Berkel, N., Tag, B., Jacobsen, R. M., Russo, D., Purchase, H. C., & Buschek, D. (2024) · International Journal of Human-Computer Studies · doi:10.1016/j.ijhcs.2024.103359 · Cited by 8 · see citing works
An Unquantified Uncertainty Visualization Design Space During the Opioid Crisis
Weatherston, J., Périn, C., Hore, D. K., Wallace, B. B., & Storey, M. (2020) · CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA) · doi:10.1145/3334480.3383072 · Cited by 8 · see citing works
Making the Invisible Visible: Risks and Benefits of Disclosing Metadata in Visualization
Burns, A., On, T., Lee, C., Shapiro, R., Xiong, C., & Mahyar, N. (2021) · IEEE Workshop on Visualization for Social Good (VIS4Good) · doi:10.1109/vis4good54225.2021.00008 · Cited by 8 · see citing works
Pluriverse perspectives in designing for a cultural heritage context in the digital age
Häkkilä, J., Paananen, S., Suoheimo, M., & Mäkikalli, M. (2022) · Routledge eBooks · doi:10.4324/9781003285175-14 · Cited by 8 · see citing works
What Can Interactive Visualization Do for Participatory Budgeting in Chicago?
Kale, A. M., Liu, D., Ayala, M. G., Schwab, H., & McNutt, A. M. (2024) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2024.3456343 · Cited by 7 · see citing works
Discursive Patinas: Anchoring Discussions in Data Visualizations
Kauer, T., Akbaba, D., Dörk, M., & Bach, B. (2024) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2024.3456334 · Cited by 7 · see citing works
Woo, R., Harley, D., & Wallace, J. R. (2024) · Designing Interactive Systems Conference · doi:10.1145/3643834.3661626 · Cited by 7 · see citing works
Sarigai, S., Yang, L., Slack, K., Lane, K. M. D., Buenemann, M., Wu, Q., Woodhull, G., & Driscol, J. (2024) · Transactions in GIS · doi:10.1111/tgis.13277 · Cited by 7 · see citing works
Towards Modeling Visualization Processes as Dynamic Bayesian Networks
Heine, C. (2020) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2020.3030395 · Cited by 7 · see citing works
`A Fair Game?': Using Narrative Sensification and Embodied Metaphors for Awareness
Arango, V. J. M., Ovais, M., Youssef, Y., Das, S., van Koningsbruggen, R., & Hornecker, E. (2024) · International Conference on Tangible, Embedded, and Embodied Interaction (TEI) · doi:10.1145/3623509.3633375 · Cited by 7 · see citing works
Topography of Violence: Considerations for Ethical and Collaborative Visualization Design
Ehmel, F., Brüggemann, V., & Dörk, M. (2021) · Computer Graphics Forum · doi:10.1111/cgf.14285 · Cited by 7 · see citing works
Communicating Consequences: Visual Narratives, Abstraction, and Polysemy in Rural Bangladesh
Sultana, S., Ahmed, S. I., & Rzeszotarski, J. M. (2023) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3544548.3581149 · Cited by 6 · see citing works
The superiority of graphics over text in long-term memory retention
Ciccione, L., Caroti, D., Liu, S., Giardino, V., Pasquinelli, E., & Dehaene, S. (2025) · Psychonomic Bulletin & Review · doi:10.3758/s13423-025-02708-3 · Cited by 6 · see citing works
TAPESTRY: A De-Centralized Service for Trusted Interaction Online
Yang, Y., Cooper, D., Collomosse, J. P., Drăgan, C. C., Manulis, M., Steane, J., Manohar, A. K., Briggs, J., Jones, H. S., & Moncur, W. (2020) · IEEE Transactions on Services Computing · doi:10.1109/tsc.2020.2993081 · Cited by 6 · see citing works
Considering Visualization Example Galleries
Yang, J., McNutt, A. M., & Battle, L. (2024) · 2024 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC) · doi:10.1109/vl/hcc60511.2024.00043 · Cited by 5 · see citing works
“Correll [9], referring to example data more generally, calls for selecting datasets that are of social import or impact as means for advocating for positive change.”
BackgroundCritical Interactivity: Exploration and Narration in Data Visualization
Morini, F., Garretón, M., Pomerance, J., Zeissig, N., de Günther, S., Thomet, F., Freyberg, L., Kyriazis, I., Scholz, A., & Dörk, M. (2025) · IEEE Computer Graphics and Applications · doi:10.1109/mcg.2025.3544684 · Cited by 5 · see citing works
Dı́az, P., Onorati, T., & Aedo, I. (2024) · IEEE Global Engineering Education Conference (EDUCON) · doi:10.1109/educon60312.2024.10578610 · Cited by 5 · see citing works
Nudging with Narrative Visualization: Communicating to a Young Adult Audience in the Pandemic
Errey, N., Liang, J., Leong, T. W., Chen, Y., Vally, H., & Bennett, C. M. (2024) · Proceedings of the ACM on Human-Computer Interaction · doi:10.1145/3686950 · Cited by 5 · see citing works
Vancisin, T., Orr, M., & Hinrichs, U. (2020) · IEEE Workshop on Visualization for the Digital Humanities (VIS4DH) · doi:10.1109/vis4dh51463.2020.00011 · Cited by 5 · see citing works
Visualization for VillainyPreprint
McNutt, A. M., Huang, L., & Koenig, K. (2021) · arXiv (Cornell University) · doi:10.48550/arxiv.2109.06007 · Cited by 5 · see citing works
Communicating qualitative uncertainty in data visualization
Panagiotidou, G., & Moere, A. V. (2022) · Information Design Journal · doi:10.1075/idj.22014.pan · Cited by 4 · see citing works
ChartChecker: A User-Centred Approach to Support the Understanding of Misleading Charts
Biselli, T., Hartwig, K., Kneissl, N., Pouliot, L., & Reuter, C. (2025) · Designing Interactive Systems Conference · doi:10.1145/3715336.3735784 · Cited by 4 · see citing works
Dhawka, P., Lutz, N., & Starbird, K. (2025) · Proceedings of the ACM on Human-Computer Interaction · doi:10.1145/3757574 · Cited by 4 · see citing works
Elli, T., Bradley, A., Hinrichs, U., & Collins, C. (2022) · Proceedings of DRS · doi:10.21606/drs.2022.447 · Cited by 4 · see citing works
Cybersecurity Data Visualization: Designing a Course for Future High School Students
Mohammed, S. P., Hossain, G., & Ameen, S. Y. Q. (2024) · International Symposium on Digital Forensics and Security (ISDFS) · doi:10.1109/isdfs60797.2024.10527241 · Cited by 4 · see citing works
Disclose to Tell: a Data Design Framework for Alternative Narratives
Rojas, M. D. L. Á. B. (2021) · Computer Supported Cooperative Work (CSCW) · doi:10.1007/s10606-021-09416-1 · Cited by 4 · see citing works
Knoche, H. O., Abdul‐Rahman, A., Clark, L., Ćurčin, V., Huo, Z., Iwaya, L. H., Lemon, O., Mikulík, R., Neate, T., Roper, A., et al. (2023) · CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA) · doi:10.1145/3544549.3573798 · Cited by 3 · see citing works
Beyond the p-value: How descriptive statistics unlock insights in veterinary research?
(2024) · German Journal of Veterinary Research · doi:10.51585/gjvr.2024.3.0105 · Cited by 3 · see citing works
- Authors
- Correll, M.
- Affiliations
- Tableau Software (United States) (US)
- Corresponding author
- Correll, Michael
- ORCID
- Correll, Michael
- Venue
- Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems
- Publisher
- ACM
- Published
- 2019-05-02
- Pages
- 1-13
- OpenAlex
- W2952342347
- Semantic Scholar
- 69b2495fe5093ae56a1ccbf9a9e55b87d677fec9
- Cited by
- 150
- References
- 99
- Citations by year
- 2026: 13 · 2025: 26 · 2024: 29 · 2023: 20 · 2022: 24 · 2021: 16 · 2020: 18 · 2019: 4
- FWCI
- 5.00
- Type
- conference paper
- Language
- en
- Open access
- green
- arxiv.org
- Locations
- CHI Conference on Human Factors in Computing Systems (publishedVersion)
- arXiv (Cornell University) (submittedVersion)
- arXiv (Cornell University) (cc-by)
- Topics
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Data Visualization and Analytics
- Social Sciences › Safety Research › Ethics and Social Impacts of AI
- Social Sciences › Decision Sciences › Information Systems and Management › Ethics in Business and Education
- Keywords
- visual analytics, moral obligation, data visualization design, ethical dilemmas, decision-making, professional ethics
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
