Seeing Data bibliography

This page includes a long list of some of the materials we produced and engaged with as part of our Seeing Data research. It’s a work-in-progress, not a complete datavis reading list!

[social sciences] [geography] [HCI/info vis] [other]

Social sciences, media studies, cultural studies

Ball, M.S. and Smith, G.W. 1992. Analyzing visual data.  Sage.

Barnhurst, K.G. 1991. News as Art.  Association for Education in Journalism and Mass Communication.

Barnhurst, K.G. 1994. Seeing the newspaper. New York: St. Martin’s Press.

Barnhurst, K.G. 2007. Media Q : media/queered : visibility and its discontents. New York ; Oxford: Peter Lang.

Barnhurst, K.G. and Quinn, K. 2012. Political Visions: Visual Studies in Political Communication. In: Smetko, H. and Scammell, M. eds. Handbook of Political Communication.  London: Sage, pp.276-291.

Barnhurst, K.G., Vari, M. and Rodríguez, Í. 2004. Mapping visual studies in communication. Journal of Communication. 54(4), pp.616-644.

Bartlett, J. and Tkacz, N. 2014. Keeping an eye on the dashboard. Demos Quarterly. [Online]. (4). Available from:

Beaulieu, A. 2002. Images are not the (only) truth: Brain mapping, visual knowledge, and iconoclasm. Science, Technology & Human Values. 27(1), pp.53-86.

Bell, P. and Leeuwen, T.v. 1994. The media interview : confession, contest, conversation. Kensington, N.S.W.: University of New South Wales Press.

Beniger, J.R. and Westney, D.E. 1981. Japanese and US media: graphics as a reflection of newspapers’ social role. Journal of Communication. 31(2), pp.14-27.

Birchall, C. 2011. Introduction to ‘Secrecy and Transparency’The Politics of Opacity and Openness. Theory, Culture & Society. 28(7-8), pp.7-25.

Bolter, J.D. and Grusin, R.A. 1999. Remediation: understanding new media. Cambridge, MA: MIT Press.

Bove, V.M. 1996. Beyond images. Convergence: The International Journal of Research into New Media Technologies. 2(2), pp.30-46.

Bucher, H.-J. and Niemann, P. 2012. Visualizing science: the reception of powerpoint presentations. Visual Communication. 11(3), pp.283-306.

Burri, R.V. 2012. Visual rationalities: Towards a sociology of images. Current Sociology. 60(1), pp.45-60.

Burrows, R. 2012. Digitalization, Visualization and the ‘Descriptive Turn’ in Contemporary Sociology. In: Heywood, I. and Sandywell, B. eds. The Handbook of Visual Culture.  London: Berg, pp.572-588.

Coleman, R. and Wasike, B. 2004. Visual elements in public journalism newspapers in an election: A content analysis of the photographs and graphics in Campaign 2000. Journal of Communication. 54(3), pp.456-473.

Cooke, L. 2005. A visual convergence of print, television, and the internet: charting 40 years of design change in news presentation. New Media & Society. 7(1), pp.22-46.

Craig, R.L. 1991. Designing Ethnicity: The ideology of images. Design Issues. pp.34-42.

Cronin, A.M. 1999. Seeing through transparency: Performativity, vision and intent1. Cultural Values. 3(1), pp.54-72.

Dick, M. 2013. Interactive Infographics and News Values. Digital Journalism. (ahead-of-print), pp.1-17.

Dick, M. 2015. Just Fancy That: An analysis of infographic propaganda in The Daily Express, 1956–1959. Journalism Studies. 16(2), pp.152-174.

Doeveling, K., Scheve, C.v. and Konijn, E. 2011. The Routledge handbook of emotions and mass media. London: Routledge.

Evans, J. and Hall, S. 1999. Visual culture : the reader. London: Sage in association with the Open University.

Friedel, T.L. 2008. (Not so) crude text and images: staging Native in ‘big oil’advertising. Visual Studies. 23(3), pp.238-254.

Friedman, A. 2011. Toward a sociology of perception: sight, sex, and gender. Cultural Sociology. 5(2), pp.187-206.

Frow, E.K. 2014. In images we trust? Representation and objectivty in the digital age. In: Coopmans, C., et al. eds. Representation in Scientific Practice Revisited.  Cambridge, MA: MIT Press, pp.249-268.

Ghode, R. 2013. Infographics in News presentation: A Study of its Effective Use in Times of India and Indian Express the Two Leading Newspapers in India. Journal Of Business Management & Social Sciences Research. 1(1), pp.35–43.

Gombrich, E.H. 1972. The visual image. Scientific American. 227(3), pp.82-96.

Graber, D.A. 1990. Seeing is remembering: How visuals contribute to learning from television news. Journal of Communication. 40(3), pp.134-156.

Griffin, J.L. and Stevenson, R.L. 1994. The Effectiveness of “How Graphics” and Text in Presenting the News. Visual Communication Quarterly. 1(2), pp.10-16.

Griffin, M. 1992. Looking at TV news: Strategies for research. Communication. 13(2), pp.121-141.

Griffin, M. 2008. Visual Communication. In: Donsbach, W. ed. International encyclopedia of communication.  Oxford: Blackwell, pp.5304-5316.

Halpern, O. 2014. Beautiful Data: A History of Vision and Reason since 1945 Durham: Duke Press.

Hamblin, C.S. 2012. Convergence in the production of news infographics. thesis, University of Missouri–Columbia.

Hermes, J., van den Berg, A. and Mol, M. 2013. Sleeping with the enemy: Audience studies and critical literacy. International Journal of Cultural Studies. 16(5), pp.457-473.

Hilgartner, S. 2000. Science on stage : expert advice as public drama. Stanford, Calif.: Stanford University Press.

Hill, C.A. and Helmers, M.H. 2003. Defining visual rhetorics. Mahwah, N.J. ; London: Lawrence Erlbaum.

Hill, R.L., Kennedy, H. and Gerrard, Y. 2016. Visualizing junk: big data visualisations and the need for feminist data studies. Journal of Communication Inquiry. 40(4), pp.331-350.

Hinton, S. and Whitelaw, M. 2010. Exploring the digital commons: an approach to the visualisation of large heritage datasets. Electronic visualisation and the arts (EVA 2010), London.

Hope, D.S. 2006. Visual communication: perception, rhetoric, and technology.  Hampton Press (NJ).

Huff, D. 1954. How to lie with Statistics … Pictures by Irving Geis. London: Victor Gollancz.

Jewitt, C. 2008. Visual Representation. In: Donsbach, W. ed. International encyclopedia of communication.  Oxford: Blackwell, pp.5319-5325.

Kennedy, H., Hill, R., Allen, W. and Kirk, A. 2015. Seeing Data, Feeling Numbers: responding emotionally to data visualisations. AHRC Digital Transformations Project Booklet. June.

Kennedy, H. and Hill, R.L. accepted. The feeling of numbers: emotions in everyday engagements with data and their visualisation. Sociology.

Kennedy, H. and Hill, R.L. 2016. The pleasure and pain of visualising data in times of data power Television & New Media.

Kennedy, H., Hill, R.L., Aiello, G. and Allen, W. 2016. The work that visualisation conventions do. Information, Communication & Society. 19(6), pp.715-735.

Kennedy, H., Hill, R.L., Allen, W. and Kirk, A. 2016. Engaging with (big) data visualizations: factors that affect engagement and resulting new definitions of effectiveness. First Monday.

Kittler, F. 2010. Optical media.  Polity.

Knoblauch, H. 2008. The performance of knowledge: Pointing and knowledge in Powerpoint presentations. Cultural Sociology. 2(1), pp.75-97.

Lankow, J., Ritchie, J. and Crooks, R. 2012. Infographics: The power of visual storytelling.  John Wiley & Sons.

Latour, B. 1986. Visualization and cognition: Drawing things together. Knowledge and Society. 6, pp.1-40.

Lynch, M. and Woolgar, S. 1990. Representation in scientific practice. 1st MIT Press ed. ed. Cambridge, Mass.: MIT Press.

Mackenzie, A. and McNally, R. 2013. Living Multiples: How Large-scale Scientific Data-mining Pursues Identity and Differences. Theory, Culture & Society. 30(4), pp.72-91.

Manovich, L. 2011. What is visualisation? Visual Studies. 26(1), pp.36-49.

Marres, N. 2012. On some uses and abuses of topology in the social analysis of technology (Or the problem with smart meters). Theory, Culture & Society. 29(4-5), pp.288-310.

Mayer, K. 2012. Objectifying social structures: Network visualization as means of social optimization. Theory & Psychology. 22(2), pp.162-178.

Mendelson, A.L. and Thorson, E. 2004. How verbalizers and visualizers process the newspaper environment. Journal of Communication. 54(3), pp.474-491.

Müller, M.G. 2008. Visual competence: a new paradigm for studying visuals in the social sciences? 1. Visual Studies. 23(2), pp.101-112.

Nerone, J. and Barnhurst, K.G. 1995. Visual mapping and cultural authority: Design changes in US newspapers, 1920–1940. Journal of Communication. 45(2), pp.9-43.

Newhagen, J.E. and Reeves, B. 1992. The evening’s bad news: Effects of compelling negative television news images on memory. Journal of Communication. 42(2), pp.25-41.

Noble, I. and Bestley, R. 2011. Visual research : an introduction to research methodologies in graphic design. 2nd ed. ed. Lausanne ; Worthing: AVA Academia.

Palmer, J. 2009. Seeing and knowing: Ultrasound images in the contemporary abortion debate. Feminist Theory. 10(2), pp.173-189.

Pavlik, J.V. 2004. A sea-change in journalism: Convergence, journalists, their audiences and sources. Convergence: The International Journal of Research into New Media Technologies. 10(4), pp.21-29.

Peterson, E.R., Deary, I.J. and Austin, E.J. 2003. On the assessment of cognitive style: four red herrings. Personality and Individual Differences. 34(5), pp.899-904.

Peterson, E.R., Deary, I.J. and Austin, E.J. 2003. The reliability of Riding’s cognitive style analysis test. Personality and Individual Differences. 34(5), pp.881-891.

Rettberg, J.W. 2009. ‘Freshly Generated for You, and Barack Obama’How Social Media Represent Your Life. European Journal of Communication. 24(4), pp.451-466.

Rogers, R. 2012. Mapping and the Politics of Web Space. Theory, Culture & Society. 29(4-5), pp.193-219.

Ross, S.D. and Lester, P.M. 2011. Images that injure : pictorial stereotypes in the media. 3rd ed. ed. Santa Barbara, Calif.: Praeger.

Ruckenstein, M. 2014. Visualized and interacted life: personal analytics and engagements with data doubles. Societies. 4(1), pp.68-84.

Ruppert, E., Law, J. and Savage, M. 2013. Reassembling social science methods: the challenge of digital devices. Theory, Culture & Society. 30(4), pp.22-46.

Ruppert, E. and Savage, M. 2011. Transactional politics. The Sociological Review. 59(s2), pp.73-92.

Ruppert, E. 2016. A baroque sensibility for Big Data visualisation. In: Law, J., Ruppert, E. ed. Modes of Knowing: Resources from the Baroque. Manchester: Mattering Press, pp. 136-161.

Sack, W. 2000. Conversation map: an interface for very-large-scale conversations. Journal of Management Information Systems. 17(3), pp.73-92.

Sack, W. 2011. Aesthetics of information visualization. Context Providers: Conditions of Meaning in Media Arts. pp.123-150.

Salvo, M.J. 2012. Visual rhetoric and big data: design of future communication. Communication Design Quarterly. 1(1), pp.37-40.

Sarangi, S. and Van Leeuwen, T. 2003. Applied linguistics and communities of practice : selected papers from the annual meeting of the British Association for Applied Linguistics, Cardiff University, September 2002. New York: Continuum.

Schroeder, R. 2004. Interactive Info Graphics in Europe–added value to online mass media: a preliminary survey. Journalism Studies. 5(4), pp.563-570.

Sluijs, J.P. 2008. Sense.Us: towards a more social ‘social visualization’. First Monday. 13(12).

Smiciklas, M. 2012. The power of infographics: Using pictures to communicate and connect with your audiences.  Que Publishing.

Smith, A. 2016. Crafting charts that can withstand the data deluge. [Online]. [Accessed 27/04/2016]. Available from:, .

Usher, N. 2009. Interactive Visual Argument: Online News Graphics and the Iraq War. Journal of Visual Literacy. 28(2).

Valarakis, A. 2014. On Data Visualization: Rhetoric and the Revival of the Body Politic. MA thesis, University of Amsterdam.

Van Dijck, J. 2006. Picturizing science The science documentary as multimedia spectacle. International Journal of Cultural Studies. 9(1), pp.5-24.

Vujakovic, P. 2002. Mapping the war zone: cartography, geopolitics and security discourse in the UK press. Journalism Studies. 3(2), pp.187-202.

Wark, M. 1993. Lost in space: Into the digital image labyrinth. Continuum: Journal of Media & Cultural Studies. 7(1), pp.140-160.

Williamson, J. 1978. Decoding advertisements : ideology and meaning in advertising. London: Boyars : Distributed by Calder and Boyars.

Zelizer, B. 2010. About to die : how news images move the public. New York ; Oxford: Oxford University Press.



Andrienko, G., Andrienko, N., Demsar, U., Dransch, D., Dykes, J., Fabrikant, S.I., Jern, M., Kraak, M.-J., Schumann, H. and Tominski, C. 2010. Space, time and visual analytics. International Journal of Geographical Information Science. 24(10), pp.1577-1600.

Balchin, W.G.V. and Coleman, A.M. 1966. Graphicacy should be the fourth ace in the pack. Cartographica: The International Journal for Geographic Information and Geovisualization. 3(1), pp.23-28.

Dodge, M., Kitchin, R. and Perkins, C. 2011. Rethinking maps: new frontiers in cartographic theory.  Routledge.

Dodge, M., Kitchin, R. and Perkins, C.R. 2011. The map reader : theories of mapping practice and cartographic representation. Oxford: Wiley-Blackwell.

Dodge, M. and Perkins, C. 2008. Reclaiming the map: British geography and ambivalent cartographic practice. Environment and Planning A. 40(6), p1271.

Elwood, S. 2011. Geographic Information Science: Visualization, visual methods, and the geoweb. Progress in Human Geography. 35(3), pp.401-408.

Gordon, E. 2007. Mapping digital networks from cyberspace to Google. Information, Communication & Society. 10(6), pp.885-901.

Kitchin, R., Perkins, C. and Dodge, M. 2011. 1 Thinking about maps. Rethinking maps: New frontiers in cartographic theory. p1.

Leuenberger, C. and Schnell, I. 2010. The politics of maps: Constructing national territories in Israel. Social Studies of Science. 40(6), pp.803-842.

Monmonier, M.S. 1989. Maps with the news : the development of American journalistic cartography. Chicago: University of Chicago Press.

Monmonier, M.S. 1996. How to lie with maps. Chicago; London: University of Chicago Press.

Parks, L. 2009. Digging into Google earth: An analysis of “crisis in Darfur”. Geoforum. 40(4), pp.535-545.

Parry, R.B. and Perkins, C.R. 2001. The map library in the new millennium. London: Library Association Publishing.

Perkins, C. 2004. Cartography-cultures of mapping: power in practice. Progress in Human Geography. 28(3), pp.381-391.

Plantin, J.-C. 2011. ‘The Map is the Debate’: Radiation Webmapping and Public Involvement During the Fukushima Issue. Available at SSRN 1926276.

Roth, R.E. 2014. Interactive maps: What we know and what we need to know. Journal of Spatial Information Science. (6), pp.59-115.

Trifonoff, K.M. 1996. Book Review: . “How to Lie With Maps.” Second Edition, by Mark Monmonier. Cartographic Perspectives. 25, pp.35-37.

Vujakovic, P. 2002. Mapping the war zone: cartography, geopolitics and security discourse in the UK press. Journalism Studies. 3(2), pp.187-202.

Wood, D. 2012. Rethinking the power of maps.  Guilford Press.


Human Computer Interaction, Information Visualisation

Ahn, J.-w. and Brusilovsky, P. 2009. Adaptive visualization of search results: Bringing user models to visual analytics. Information Visualization. 8(3), pp.167-179.

Anderson, E.W., Potter, K.C., Matzen, L.E., Shepherd, J.F., Preston, G.A. and Silva, C.T. 2011. A user study of visualization effectiveness using EEG and cognitive load. In: Computer Graphics Forum: Wiley Online Library, pp.791-800.

Berry, R. and Higgs, G. 2012. Gauging levels of public acceptance of the use of visualisation tools in promoting public participation; a case study of wind farm planning in South Wales, UK. Journal of Environmental Planning and Management. 55(2), pp.229-251.

Boehnert, J. 2015. Viewpoint: The Politics of Data Visualisation. Discover Society. [Online] Available from: [accessed 02.05.16].

Borgo, R., Abdul-Rahman, A., Mohamed, F., Grant, P.W., Reppa, I., Floridi, L. and Chen, M. 2012. An empirical study on using visual embellishments in visualization. Visualization and Computer Graphics, IEEE Transactions on. 18(12), pp.2759-2768.

Borkin, M.A., Vo, A.A., Bylinskii, Z., Isola, P., Sunkavalli, S., Oliva, A. and Pfister, H. 2013. What makes a visualization memorable? Visualization and Computer Graphics, IEEE Transactions on. 19(12), pp.2306-2315.

Brasseur, L. 2005. Florence Nightingale’s Visual Rhetoric in the Rose Diagrams. Technical Communication Quarterly. 14(2), pp.161-182.

Brushwood Rose, C. and Low, B. 2014. Exploring the ‘craftedness’ of multimedia narratives: from creation to interpretation. Visual Studies. 29(1), pp.30-39.

Carswell, C.M. and Ramzy, C. 1997. Graphing small data sets: should we bother? Behaviour & information technology. 16(2), pp.61-71.

Carswell, M.C., Frankenberger, S. and Bernhard, D. 1991. Graphing in depth: perspectives on the use of three-dimensional graphs to represent lower-dimensional data. Behaviour & information technology. 10(6), pp.459-474.

Chen, M., Ebert, D., Hagen, H., Laramee, R.S., Van Liere, R., Ma, K.-L., Ribarsky, W., Scheuermann, G. and Silver, D. 2009. Data, information, and knowledge in visualization. Computer Graphics and Applications, IEEE. 29(1), pp.12-19.

Chen, M. and Floridi, L. 2013. An analysis of information visualisation. Synthese. 190(16), pp.3421-3438.

Chin, G., Singhal, M., Nakamura, G., Gurumoorthi, V. and Freeman-Cadoret, N. 2009. Visual analysis of dynamic data streams. Information Visualization. 8(3), pp.212-229.

Chong, A. 2012. Aligning trends in mainstream media and data visualization with teaching practice. In: Professional Communication Conference (IPCC), 2012 IEEE International: IEEE, pp.1-5.

Cleveland, W.S. and McGill, R. 1984. Graphical perception: Theory, experimentation, and application to the development of graphical methods. Journal of the American Statistical Association. 79(387), pp.531-554.

Cleveland, W.S. and McGill, R. 1985. Graphical perception and graphical methods for analyzing scientific data. Science. 229(4716), pp.828-833.

Costello, L., Grinstein, G., Plaisant, C. and Scholtz, J. 2009. Advancing user-centered evaluation of visual analytic environments through contests. Information Visualization. 8(3), pp.230-238.

Curcio, F.R. 1987. Comprehension of mathematical relationships expressed in graphs. Journal for research in mathematics education. pp.382-393.

Dadzie, A.-S., Lanfranchi, V. and Petrelli, D. 2009. Seeing is believing: Linking data with knowledge. Information Visualization. 8(3), pp.197-211.

DeYoung, C.G. and Spence, I. 2004. Profiling information technology users: En route to dynamic personalization. Computers in Human Behavior. 20(1), pp.55-65.

Einsfeld, K., Ebert, A., Kerren, A. and Deller, M. 2009. Knowledge generation through human-centered information visualization. Information Visualization. 8(3), pp.180-196.

Elwood, S. 2011. Geographic Information Science: Visualization, visual methods, and the geoweb. Progress in Human Geography. 35(3), pp.401-408.

Ericcson, K., Chase, W.G. and Faloon, S. 1980. Acquisition of a memory skill. Science. 208(4448), pp.1181-1182.

Feigenspan, J., Kästner, C., Apel, S., Liebig, J., Schulze, M., Dachselt, R., Papendieck, M., Leich, T. and Saake, G. 2013. Do background colors improve program comprehension in the# ifdef hell? Empirical Software Engineering. 18(4), pp.699-745.

Few, S. 2008. A Menage a Trois of Data, Eyes and Mind. DM Review. 18(1), p14.

Few, S. 2008. What ordinary people need most from information visualization today. Perceptual Edge: Visual Business Intelligence Newsletter.

Friedman, V. 2008. Data visualization and infographics. Graphics, Monday Inspiration. 14, p2008.

Friendly, M. 2008. A Brief History of Data Visualization. In: Chen, C.-h., et al. eds. Handbook of data visualization.  Berlin: Springer, pp.15-56.

Frohlich, D.M. 2004. Beauty as a design prize. Human–Computer Interaction. 19(4), pp.359-366.

Funkhouser, G. and Maccoby, N. 1971. Communicating specialized science information to a lay audience. Journal of Communication. 21(1), pp.58-71.

Galesic, M. and Garcia-Retamero, R. 2010. Graph Literacy A Cross-Cultural Comparison. Medical Decision Making. 31(3), pp.444-457.

Gelman, A. and Unwin, A. 2013. Infovis and statistical graphics: different goals, different looks. Journal of Computational and Graphical Statistics. 22(1), pp.2-28.

Geng, J. 2013. Three-dimensional display technologies. Advances in Optics and Photonics. 5(4), pp.456-535.

Gibson, H., Faith, J. and Vickers, P. 2013. A survey of two-dimensional graph layout techniques for information visualisation. Information Visualization. 12(3-4), pp.324-357.

Gibson, J.J. 1966. The senses considered as perceptual systems. Boston: Houghton Mifflin.

Gill, L., Lange, E., Morgan, D.R. and Romano, D. 2013. An analysis of usage of different types of visualisation media within a collaborative planning workshop environment. Environment and Planning B: Planning and Design. 40(4), pp.742-754.

Glanville, R., Sweeting, B. and Hohl, M. 2011. From abstract to actual: art and designer-like enquiries into data visualisation. Kybernetes. 40(7/8), pp.1038-1044.

Groff, J., Boucheix, J.-M., Lowe, R.K., Argon, S., Saby, L., Alauzet, A. and Paire-Ficout, L. 2014. Don’t miss your train! Just follow the computer screen animation: Comprehension processes of animated public information graphics. Computers in Human Behavior. 30, pp.206-221.

Haroz, S. and Whitney, D. 2012. How capacity limits of attention influence information visualization effectiveness. Visualization and Computer Graphics, IEEE Transactions on. 18(12), pp.2402-2410.

Hassenzahl, M. 2004. The interplay of beauty, goodness, and usability in interactive products. Human-Computer Interaction. 19(4), pp.319-349.

Heer, J., Bostock, M. and Ogievetsky, V. (2010) A tour through the visualization zoo. New York: ACM. 53. pp.59-67.

Heer, J. and Shneiderman, B. 2012. Interactive dynamics for visual analysis. Queue. 10(2), p30.

Hinze, S.R., Williamson, V.M., Shultz, M.J., Williamson, K.C., Deslongchamps, G. and Rapp, D.N. 2013. When do spatial abilities support student comprehension of STEM visualizations? Cognitive processing. 14(2), pp.129-142.

Hollands, J.G. and Spence, I. 2001. The discrimination of graphical elements. Applied cognitive psychology. 15(4), pp.413-431.

Holmes, N. 2000. About charts and graphs. Impress Magazine.

Huang, W., Eades, P. and Hong, S.-H. 2009. Measuring effectiveness of graph visualizations: A cognitive load perspective. Information Visualization. 8(3), pp.139-152.

Huang, W., Hong, S.-H. and Eades, P. 2006. Predicting graph reading performance: a cognitive approach. In: Proceedings of the 2006 Asia-Pacific Symposium on Information Visualisation-Volume 60: Australian Computer Society, Inc., pp.207-216.

Hullman, J., Adar, E. and Shah, P. 2011. Benefitting InfoVis with visual difficulties. Visualization and Computer Graphics, IEEE Transactions on. 17(12), pp.2213-2222.

Hullman, J. and Diakopoulos, N. 2011. Visualization rhetoric: Framing effects in narrative visualization. Visualization and Computer Graphics, IEEE Transactions on. 17(12), pp.2231-2240.

Jakobsen, M.R., Sahlemariam Haile, Y., Knudsen, S. and Hornbæk, K. 2013. Information visualization and proxemics: design opportunities and empirical findings. Visualization and Computer Graphics, IEEE Transactions on. 19(12), pp.2386-2395.

Janes, A., Sillitti, A. and Succi, G. 2013. Effective dashboard design. Cutter IT Journal. 26(1).

Kim, T. and DiSalvo, C. 2010. Speculative visualization: a new rhetoric for communicating public concerns. In: Proceedings of the Design Research Society (DRS) international conference design & complexity.

Kirk, A. 2009. Paradox of Form vs Function in Graph Design. MA thesis, University of Leeds.

Kirk, A. 2016. Data visualisation: a handbook for data driven design. London: Sage.

Kirk, A. 2012. Data Visualization: a successful design process.  Packt Publishing Ltd.

Koed Madsen, A. 2011. Web-Visions: Repurposing Digital Traces to Organize Social Attention.  Copenhagen Business School.

Kong, N. and Agrawala, M. 2012. Graphical overlays: Using layered elements to aid chart reading. Visualization and Computer Graphics, IEEE Transactions on. 18(12), pp.2631-2638.

Kosara, R. 2007. Visualization criticism-the missing link between information visualization and art. In: Information Visualization, 2007. IV’07. 11th International Conference: IEEE, pp.631-636.

Kosara, R., Cohen, S., Cukier, J. and Wattenberg, M. 2009. Panel: changing the world with visualization. In: IEEE Visualization Conference Compendium: Citeseer.

Kosara, R., Healey, C.G., Interrante, V., Laidlaw, D.H. and Ware, C. 2003. User studies: Why, how, and when? IEEE Computer Graphics and Applications. (4), pp.20-25.

Kostelnick, C. 2004. Melting-pot ideology, modernist aesthetics, and the emergence of graphical conventions: The statistical atlases of the United States, 1874-1925. Defining visual rhetorics. pp.215-242.

Kostelnick, C. 2007. The Visual Rhetoric of Data Displays: The Conundrum of Clarity. IEEE Transactions on Professional Communication. 50(4), pp.280-294.

Kroeker, K.L. 2004. Seeing data: new methods for understanding information. Computer Graphics and Applications, IEEE. 24(3), pp.6-12.

Kurlansky, M., Marcus, S., Reineck, J., Reineck, G. and Chairman-Marcus, A. 1980. Special session on effective information presentation techniques. In: ACM SIGGRAPH Computer Graphics: ACM, p.1.

Kwakkel, J.H., Carley, S., Chase, J. and Cunningham, S.W. 2014. Visualizing geo-spatial data in science, technology and innovation. Technological Forecasting and Social Change. 81, pp.67-81.

Langland-Hassan, P. 2011. A puzzle about visualization. Phenomenology and the Cognitive Sciences. 10(2), pp.145-173.

Lau, A. and Vande Moere, A. 2007. Towards a model of information aesthetics in information visualization. In: Information Visualization, 2007. IV’07. 11th International Conference: IEEE, pp.87-92.

Lester, E. and Cottle, S. 2009. Visualizing climate change: Television news and ecological citizenship. International journal of communication. 3, pp.920-936.

Levie, W.H. and Lentz, R. 1982. Effects of text illustrations: A review of research. ECTJ. 30(4), pp.195-232.

Lewandowsky, S. and Spence, I. 1989. Discriminating strata in scatterplots. Journal of the American Statistical Association. 84(407), pp.682-688.

Lin, X., Kerren, A. and Zhang, J. 2009. Challenges in human-centered information visualization: Introduction to the special issue. Information Visualization. 8(3), pp.137-138.

Lindgaard, G., Fernandes, G., Dudek, C. and Brown, J. 2006. Attention web designers: You have 50 milliseconds to make a good first impression! Behaviour & information technology. 25(2), pp.115-126.

Lohse, G.L. 1997. The role of working memory on graphical information processing. Behaviour & information technology. 16(6), pp.297-308.

Luo, S.-J., Liu, C.-L., Chen, B.-Y. and Ma, K.-L. 2012. Ambiguity-free edge-bundling for interactive graph visualization. Visualization and Computer Graphics, IEEE Transactions on. 18(5), pp.810-821.

Ma, K.-L., Wang, C., Yu, H., Moreland, K., Huang, J. and Ross, R. 2009. Next-generation visualization technologies: Enabling discoveries at extreme scale. SciDAC Review. 12, pp.12-21.

Mackinlay, J. 1986. Automating the design of graphical presentations of relational information. ACM Transactions on Graphics (TOG). 5(2), pp.110-141.

Malyanov, I., d’Auriol, B.J. and Lee, S. 2013. Visualization experience and related process modeling. Journal of Visual Languages & Computing. 24(4), pp.223-233.

Martin, L. and Schwartz, D.L. 2014. A pragmatic perspective on visual representation and creative thinking. Visual Studies. 29(1), pp.80-93.

Mazza, R. 2009. Introduction to Information Visualization. London: Springer Verlag.

Melcher, D. 2001. Persistence of visual memory for scenes. Nature. 412(6845), pp.401-401.

Miller, N., Hetzler, B., Nakamura, G. and Whitney, P. 1997. The need for metrics in visual information analysis. In: Proceedings of the 1997 workshop on New paradigms in information visualization and manipulation: ACM, pp.24-28.

Moere, A.V. 2007. Aesthetic data visualization as a resource for educating creative design. Computer-Aided Architectural Design Futures (CAADFutures) 2007.   Springer, pp.71-84.

Moere, A.V. and Purchase, H. 2011. On the role of design in information visualization. Information Visualization. 10(4), pp.356-371.

Munster, A. 2013. An Aesthesia of Networks. London: The MIT Press.


Nicholson, J., Ridgway, J. and McCusker, S. 2006. Reasoning with evidence–Developing curriculum. In: Proceedings of the Seventh International Conference on Teaching Statistics. The Netherlands: International Statistical Institute: Citeseer.

Norman, D.A. 2004. Introduction to this special section on beauty, goodness, and usability. Human-Computer Interaction. 19(4), pp.311-318.

North, C. 2006. Toward measuring visualization insight. Computer Graphics and Applications, IEEE. 26(3), pp.6-9.

Overbeeke, K. and Wensveen, S. 2004. Beauty in use. Human–Computer Interaction. 19(4), pp.367-369.

Plaisant, C. 2004. The challenge of information visualization evaluation. In: Proceedings of the working conference on Advanced visual interfaces: ACM, pp.109-116.

Plant, W. and Schaefer, G. 2009. Visualising image databases. In: Multimedia Signal Processing, 2009. MMSP’09. IEEE International Workshop on: IEEE, pp.1-6.

Pousman, Z., Stasko, J.T. and Mateas, M. 2007. Casual information visualization: Depictions of data in everyday life. Visualization and Computer Graphics, IEEE Transactions on. 13(6), pp.1145-1152.

Prestopnik, N. 2013. Cooperative visualization: a design case. Library Hi Tech. 31(2), pp.371-390.

Pretorius, A.J. and Van Wijk, J.J. 2009. What does the user want to see? What do the data want to be? Information Visualization. 8(3), pp.153-166.

Pryke, M. 2010. Money’s eyes: the visual preparation of financial markets. Economy and society. 39(4), pp.427-459.

Rangecroft, M. 2003. As easy as pie. Behaviour and Information Technology. 22(6), pp.421-426.


Riding, R.J. 2003. On the assessment of cognitive style: a commentary on Peterson, Deary, and Austin. Personality and Individual Differences. 34(5), pp.893-897.

Roth, R.E. 2014. Interactive maps: What we know and what we need to know. Journal of Spatial Information Science. (6), pp.59-115.

Ryoo, K. and Linn, M.C. 2014. Designing guidance for interpreting dynamic visualizations: Generating versus reading explanations. Journal of Research in Science Teaching. 51(2), pp.147-174.

Sack, W. 2000. Conversation map: an interface for very-large-scale conversations. Journal of Management Information Systems. 17(3), pp.73-92.

Sack, W. 2011. Aesthetics of information visualization. Context Providers: Conditions of Meaning in Media Arts. pp.123-150.

Sancho, J.L.V. 2010. La comunicación de contenidos en la infografía digital. Estudios sobre el mensaje periodístico. 16, pp.469-483.

Segel, E. and Heer, J. 2010. Narrative visualization: Telling stories with data. Visualization and Computer Graphics, IEEE Transactions on. 16(6), pp.1139-1148.

Shah, P. and Hoeffner, J. 2002. Review of graph comprehension research: Implications for instruction. Educational Psychology Review. 14(1), pp.47-69.

Sheppard, S.R., Shaw, A., Flanders, D., Burch, S., Wiek, A., Carmichael, J., Robinson, J. and Cohen, S. 2011. Future visioning of local climate change: a framework for community engagement and planning with scenarios and visualisation. Futures. 43(4), pp.400-412.

Shirky, C. 2002. Information Visualization: Graphical Tools for Thinking about Data. Release 1.0. 20(8), pp.1-7.

Siegrist, M. 1996. The use or misuse of three-dimensional graphs to represent lower-dimensional data. Behaviour & information technology. 15(2), pp.96-100.

Silva, S., Sousa Santos, B. and Madeira, J. 2011. Using color in visualization: A survey. Computers & Graphics. 35(2), pp.320-333.

Simkin, D. and Hastie, R. 1987. An information-processing analysis of graph perception. Journal of the American Statistical Association. 82(398), pp.454-465.

Skau, D., Harrison, L. and Kosara, R. An Evaluation of the Impact of Visual Embellishments in Bar Charts.

Skog, T., Ljungblad, S. and Holmquist, L.E. 2003. Between aesthetics and utility: designing ambient information visualizations. In: Information Visualization, 2003. INFOVIS 2003. IEEE Symposium on: IEEE, pp.233-240.

Slingsby, A., Dykes, J. and Wood, J. 2009. Configuring hierarchical layouts to address research questions. Visualization and Computer Graphics, IEEE Transactions on. 15(6), pp.977-984.

Song, H.S., Pusic, M., Nick, M.W., Sarpel, U., Plass, J.L. and Kalet, A.L. 2014. The cognitive impact of interactive design features for learning complex materials in medical education. Computers & Education. 71, pp.198-205.

Spence, I. 1990. Visual psychophysics of simple graphical elements. Journal of Experimental Psychology: Human Perception and Performance. 16(4), p683.

Spence, I. 2005. No humble pie: The origins and usage of a statistical chart. Journal of Educational and Behavioral Statistics. 30(4), pp.353-368.

Spiegelhalter, D., Pearson, M. and Short, I. 2011. Visualizing uncertainty about the future. Science. 333(6048), pp.1393-1400.

Steele, J. and Iliinsky, N. 2011. Designing Data Visualizations: Representing Informational Relationships.  O’Reilly Media, Inc.

Tractinsky, N. 2004. A few notes on the study of beauty in HCI. Human–Computer Interaction. 19(4), pp.351-357.

Tractinsky, N., Cokhavi, A., Kirschenbaum, M. and Sharfi, T. 2006. Evaluating the consistency of immediate aesthetic perceptions of web pages. International Journal of Human-Computer Studies. 64(11), pp.1071-1083.

Tractinsky, N., Katz, A. and Ikar, D. 2000. What is beautiful is usable. Interacting with computers. 13(2), pp.127-145.

Tufte, E.R. 1983. The visual display of quantitative information. Cheshire, CT: Graphics press

Tufte, E.R. 1991. Envisioning information. Optometry & Vision Science. 68(4), pp.322-324.

Tufte, E.R. 2006. Beautiful evidence.  Graphics Press Cheshire, CT.

Tufte, E.R. and Robins, D. 1997. Visual explanations.  Graphics Press Cheshire, CT.

Unwin, A. 2008. Good Graphics? Handbook of data visualization.   Springer, pp.57-78.

Vande Moere, A. 2005. Form follows data: the symbiosis between design and information visualization. In: Proceedings of International Conference on Computer-Aided Architectural Design (CAADfutures’ 05), pp.31-40.

Vande Moere, A., Tomitsch, M., Wimmer, C., Christoph, B. and Grechenig, T. 2012. Evaluating the effect of style in information visualization. Visualization and Computer Graphics, IEEE Transactions on. 18(12), pp.2739-2748.

Vertovec, S. Innovation in visualizing global migration data: Online, interactive and dynamic [Online]. Available from:,+interactive+and+dynamic.pdf?MOD=AJPERES&CACHEID=ac2e78804a15416392aff6b546fc4d01.

Vickers, P., Faith, J. and Rossiter, N. 2013. Understanding Visualization: A Formal Approach Using Category Theory and Semiotics. Visualization and Computer Graphics, IEEE Transactions on. 19(6), pp.1048-1061.

Viégas, F.B. and Wattenberg, M. 2007. Artistic data visualization: Beyond visual analytics. Online Communities and Social Computing.   Springer, pp.182-191.

Walny, J., Carpendale, S., Riche, N.H., Venolia, G. and Fawcett, P. 2011. Visual thinking in action: Visualizations as used on whiteboards. Visualization and Computer Graphics, IEEE Transactions on. 17(12), pp.2508-2517.

Wang, X., Jeong, D.H., Dou, W., Lee, S.-w., Ribarsky, W. and Chang, R. 2009. Defining and applying knowledge conversion processes to a visual analytics system. Computers & Graphics. 33(5), pp.616-623.

Yau, N. 2013. Data Points: visualization that means something. New York: John Wiley and Sons.

Zambrano, R.N. and Engelhardt, Y. 2008. Diagrams for the masses. In: Stapleton, G., et al. eds. Diagrams 2008.  Berlin, Heidelberg: Springer Verlag, pp.282-292.

Zhang, K. 2007. From abstract painting to information visualization. Computer Graphics and Applications, IEEE. 27(3), pp.12-16.

Ziemkiewicz, C. and Kosara, R. 2009. Preconceptions and individual differences in understanding visual metaphors. In: Computer Graphics Forum: Wiley Online Library, pp.911-918.

Ziemkiewicz, C., Ottley, A., Crouser, R.J., Yauilla, A.R., Su, S.L., Ribarsky, W. and Chang, R. 2013. How visualization layout relates to locus of control and other personality factors. Visualization and Computer Graphics, IEEE Transactions on. 19(7), pp.1109-1121.


Other (Human Rights, Development, Philosophy, Politics)

Korzybski, A. 1948. Science and sanity: an introduction to non-Aristotelian systems and general semantics. 3rd ed. Lakeville, Ct.: International Non-Aristotelian Library Publishing.

Nyhan, B. and Reifler, J. 2010. When corrections fail: The persistence of political misperceptions. Political Behavior. 32(2), pp.303-330.

Nyhan, B. and Reifler, J. 2013. Blank slates or closed minds? The role of information deficits and identity threat in the prevalence of misperceptions. R&R at American Journal of Political Science.

Nyhan, B. and Reifler, J. 2013. Blank slates or closed minds? The role of information deficits and identity threat in the prevalence of misperceptions. R&R at American Journal of Political Science.

Pandey, A.V., Manivannan, A., Nov, O., Satterthwaite, M. and Bertini, E. 2014. The persuasive power of data visualization. IEEE Transactions on Visualization and Computer Graphics. 20(12), pp.2211-2220.

Rall, K., Satterthwaite, M.L., Pandey, A.V., Emerson, J., Boy, J., Nov, O. and Bertini, E. 2016. Data Visualization for Human Rights Advocacy. Journal of Human Rights Practice. 8(2), pp.171-197.

Suarez, M. 2010. Scientific Representation. Philosophy Compass. 5(1), pp.91–101.

Tactical Technology Collective. 2013. Visualising information for advocacy. Berlin: Tactical Tech.

Zer-Aviv, M. 2014. Disinformation Visualization: How to lie with datavis. Visualising Information for Advocacy. [Online]. Available from: