Publications

Journal

Ley, T. & Seitlinger, P. (2015). Dynamics of human categorization in a collaborative tagging system: how social processes of semantic stabilization shape individual sensemaking. Computers in Human Behavior, 51 (Part A), 140-151. DOI: http://dx.doi.org/10.1016/j.chb.2015.04.053

Seitlinger, P., Ley, T. & Albert, D. (2015). Verbatim and semantic imitation in indexing resources on the web: a fuzzy-trace account of social tagging. Applied Cognitive Psychology, 29 (1), 32-48. DOI: http://dx.doi.org/10.1002/acp.3067

Trattner, C., Kowald, D., Seitlinger, P., Kopeinik, S. & Ley, T. (2016). Modeling activation processes in human memory to predict the use of tags in social bookmarking system. The Journal of Web Science, 2 (1), 1-16. DOI: http://dx.doi.org/10.1561/106.00000004

Proceedings

Kowald, D., Seitlinger, P, Ley, T. & Trattner, C. (2014). Long time no see: the probability of reusing tags as a function of frequency and recency. In A. Broder, K. Shim & T. Suel (Eds.), Proceedings of the 23rd Conference on World Wide Web WWW’14 Companion (pp. 463-468). New York: ACM press. DOI: http://dx.doi.org/10.1145/2567948.2576934

Seitlinger, P. & Ley, T. (2016). Reconceptualizing imitation in social tagging: a reflective search model of human web interaction. In P. Parigi & S. Staab (Eds.), Proceedings of the 8th ACM Conference on Web Science (pp. 146-155). New York: ACM press. DOI: http://dx.doi.org/10.1145/2908131.2908157. Camera Ready: pseiti_reflectivesearch

Seitlinger, P., Kowald, D., Trattner, C. & Ley, T. (2013). Recommending tags with a model of human categorization. In W. Nejdl, J. Pei & R. Rastogi (Eds.), Proceedings of the 22nd Conference on Information and Knowledge Management CIKM’13 (pp. 2381-2386). New York: ACM press. DOI: http://dx.doi.org/10.1145/2505515.2505625

Seitlinger, P., Kowald, D., Kopeinik, S., Hasani-Mavriqi, I., Ley, T. & Lex, E. (2015). Attention Please. A hybrid resource recommender mimicking attention-interpretation dynamics. In A. Gangemi, L. Stefano & P. Alessandro (Eds.), Proceedings of the 24th conference on World Wide Web WWW’15 companion (pp. 339-345). New York: ACM-press. DOI: http://dx.doi.org/10.1145/2740908.2743057

Book chapter

Kowald, D., Kopeinik, S., Seitlinger, P., Ley, T., Albert, D. & Trattner, C. (2014). Forgetting the words but remembering the meaning: modeling forgetting in a verbal and semantic tag recommender. In M. Atzmueller, A. Chin, C. Scholz, & C. Trattner (Eds.), Mining, Modeling, and Recommending Things in Social Media (pp. 75-95). Heidelberg: Springer Lecture Notes in Artificial Intelligence. ISBN: 978-3-319-14722-2; DOI: http://dx.doi.org/10.1007/978-3-319-14723-9_5

Kowald, D., Kopeinik, S., Seitlinger, P., Ley, T., Albert, D. & Trattner, C. (2014). Refining frequency-based tag reuse predictions by means of time and semantic context. In M. Atzmueller, A. Chin, C. Scholz, & C. Trattner (Eds.), Mining, Modeling, and Recommending Things in Social Media (pp. 55-74). Heidelberg: Springer Lecture Notes in Artificial Intelligence. ISBN: 978-3-319-14722-2; DOI: http://dx.doi.org/10.1007/978-3-319-14723-9_4

Ley, T., Seitlinger, P. & Pata, K. (2015). Patterns of meaning in a cognitive ecosystem: modeling stabilization and enculturation in social tagging systems. In U. Cress, J. Moskaliuk, J. & H. Jeong (Eds.), Mass Collaboration and Education (pp. 143-163). Cham, Switzerland: Springer International Publishing. ISBN: 978-3-319-13535-9; DOI: http://dx.doi.org/10.1007/978-3-319-13536-6_8

Planned publications

Seitlinger, P., Ley, T., Kowald, D., Theiler, D., Hasani-Mavriqi, I., Lex, E., & Albert, D (in preparation). Fluency-consistency tradeoff in collaborative information search: an experimental study and effective recommender approach.

Dennerlein, S., Seitlinger, P., Lex, E. & Ley, T. (in press). In M. Sharples & K. Verbert (Eds.), Proceedings of 11th European Conference on Technology Enhanced Learning. Springer LNCS. Dennerlein, Seitlinger, Lex & Ley – Take Up My Tags.

Open Source Tools (funded by the Austrian Science Fund, FWF)

Tagging Game: This GWAP has been developed in the course of this project and allows studying semiotic phenomena ‚in situ‘ and the collection of large-scale datasets. Pairs of participants receive credit points when choosing similar tags (freely chosen labels) for a given photo.

pic_pub

Picture retrieved from socks-studio.

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