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Publications

Alongside the list of publications from members of DATALAB, some of our publications contain freely available code used for analyses that can be accessed from our DATALAB Github page.  

In some instances, data used in our research projects are personal and sensitive in nature or dependent upon data-access agreements with social media platforms. In these instances, extensive records and aggregated data are placed in the appendices or supplementary material of the publication and/or can be accessed in restricted ways as described in the publications.


Recent Publications


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Mønster, D. (2017). Studying Complex Interactions in Real Time: an XMPP-based Framework for Behavioral Experiments. In O. Gushikin, V. Méndez Muñoz, F. Firouzi, D. Mønster & V. Chang (Eds.), COMPLEXIS 2017 - Proceedings of the 2nd International Conference on Complexity, Future Information Systems and Risk (pp. 130-138). SCITEPRESS Digital Library. https://doi.org/10.5220/0006375201300138
Andersen, M. M., Schjødt, U., Nielbo, K. L., Pfeiffer, T., Müller, S. & Roepstorff, A. (2017). Supernatural Agents in Predictive Minds. Poster session presented at Cognitive Science Society Meeting, London, United Kingdom.
Bøge, A. R., Albrechtslund, A. & Lauritsen, P. (2017). Surveillance and Communication. In P. Moy (Ed.), Oxford Bibliographies: Communication (Vol. 5, pp. 368-385). Oxford University Press. https://doi.org/10.1093/OBO/9780199756841-0193
Neerbek, J., Assent, I. & Dolog, P. (2017). TABOO: Detecting unstructured sensitive information using recursive neural networks. In Proceedings - 2017 IEEE 33rd International Conference on Data Engineering, ICDE 2017 (pp. 1399-1400). Article 7930091 IEEE Computer Society Press. https://doi.org/10.1109/ICDE.2017.195
Bøgh, K. S., Chester, S., Sidlauskas, D. & Assent, I. (2017). Template Skycube Algorithms for Heterogeneous Parallelism on Multicore and GPU Architectures. In SIGMOD 2017 - Proceedings of the 2017 ACM International Conference on Management of Data (pp. 447-462). Association for Computing Machinery. https://doi.org/10.1145/3035918.3035962
Heimann, K., Fusaroli, R., Gonzalez de la Higuera Rojo, S., Johannsen, N. N., Riede, F., Fay, N., Lombard, M. & Tylén, K. (2017). The adaptive evolution of early human symbolic behavior. In R. Granger, U. Hahn & R. Sutton (Eds.), Proceedings of the 39th Annual Meeting of the Cognitive Science Society: CogSci 2017 (pp. 494). Cognitive Science Society. https://mindmodeling.org/cogsci2017/papers/0100/paper0100.pdf
Bechmann, A. (2017). The Algorithmic Gaze: Predicting Uploader's Gender Based on Private Social Media Images. Paper presented at AOIR 2017 Networked Publics, Tartu, Estonia.
Mitkidis, P., Ayal, S., Shalvi, S., Heimann, K., Levy, G., Kyselo, M., Wallot, S., Ariely, D. & Roepstorff, A. (2017). The effects of extreme rituals on moral behavior: The performers-observers gap hypothesis. Journal of Economic Psychology, 59, 1-7. https://doi.org/10.1016/j.joep.2016.12.007
Bechmann, A. (2017). The Invisible Shaping of Public Discourse in Online Spaces: Algorithms. Abstract from AOIR 2017 Networked Publics, Tartu, Estonia.
Sonne Damkjær, M. (2017). The role of digital media for new parents’ information practices: negotiating parenthood truths. Abstract from NordMedia 2017: Mediated Realities - Global Challenges, Tampere, Finland.
Perlman, M., Fusaroli, R., Fein, D. & Naigles, L. (2017). The Use of Iconic Words in Early Child-Parent Interactions. In R. Granger, U. Hahn & R. Sutton (Eds.), CogSci 2017 Proceedings of the 39th Annual Meeting of the Cognitive Science Society: CogSci 2017 (pp. 913-918). Cognitive Science Society. https://mindmodeling.org/cogsci2017/papers/0180/paper0180.pdf
Karlsson, A. (2017). Tracking menstrual cycles digitally – exploring the datafied female body.. Abstract from Nordmedia 2017, Tampere, Finland.
Mitkidis, P., Porubanova, M. & Roepstorff, A. (2017). Trust: The Limits of Human Moral. Frontiers in Psychology, 8, Article 178. https://doi.org/10.3389/fpsyg.2017.00178
Petitmengin, C., Beek, M. V., Bitbol, M., Nissou, J.-M. & Roepstorff, A. (2017). What is it like to meditate? Methods and issues for micro-phenomenological description of meditative experience. Journal of Consciousness Studies, 24(5-6), 170-198.
Bechmann, A. & Bowker, G. C. (2017). Whose Ontologies, at what Cost? AI and Invisibility in Social Media Arenas. Abstract from Propaganda and Media Manipulation, New York, United States.
Bechmann, A. (2017). Whose vision? The Use of Convolutional Neural Networks on Facebook Images. Abstract from Social AI, Irvine, CA, United States.
Stisen, A., Verdezoto, N., Blunck, H., Kjærgaard, M. B. & Grønbæk, K. (2016). Accounting for the Invisible Work of Hospital Orderlies: Designing for Local and Global Coordination. In Proceedings of the 19th ACM Conference on Computer-Supported Cooperative Work and Social Computing, CSCW 2016: CSCW '16 (pp. 980-992). Association for Computing Machinery. https://doi.org/10.1145/2818048.2820006
Mathisen, A., Krogh, S., Stisen, A., Blunck, H. & Grønbæk, K. (2016). A comparative analysis of Indoor WiFi Positioning at a large building complex. In J. J. G. Domínguez, Á. H. Alonso & J. Ureña Ureña (Eds.), 2016 International Conference on Indoor Positioning and Indoor Navigation, IPIN 2016 Article 7743666 IEEE Press. https://doi.org/10.1109/IPIN.2016.7743666
Sonne, T., Marshall, P., Müller, J., Obel, C. & Grønbæk, K. (2016). A Follow-up Study of a Successful Assistive Technology for Children with ADHD and Their Families. In Proceedings of IDC 2016 - The 15th International Conference on Interaction Design and Children (pp. 400-407). https://doi.org/10.1145/2930674.2930704
Sonne, T., Marshall, P., Obel, C., Thomsen, P. H. & Grønbæk, K. (2016). An Assistive Technology Design Framework for ADHD. In C. Parker (Ed.), Proceedings of the 28th Australian Computer-Human Interaction Conference, OzCHI 2016: OzCHI '16 (pp. 60-70). Association for Computing Machinery. https://doi.org/10.1145/3010915.3010925
Thai Son, M., Assent, I. & Storgaard, M. (2016). AnyDBC: An efficient anytime density-based clustering algorithm for very large complex datasets. In KDD 2016 - Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (pp. 1025-1034). Association for Computing Machinery. https://doi.org/10.1145/2939672.2939750
Thai Son, M., Assent, I. & Le, A. T. (2016). Anytime OPTICS: An efficient approach for hierarchical density-based clustering. In S. B. Navathe, W. Wu, S. Shekhar, X. Du, X. Sean Wang & H. Xiong (Eds.), Database Systems for Advanced Applications - 21st International Conference, DASFAA 2016, Proceedings (Vol. 9642, pp. 164-179). Springer VS. https://doi.org/10.1007/978-3-319-32025-0_11