This page contains project publications and a subset of publications from the team members relevant to the area of the project.
We encourage visitors to check out the full publication lists of team members on their websites.

Project Publications

Wang, Z., Hale, S., Ifeoluwa Adelani, D., Grabowicz, P., Hartmann, T., Flöck, F., & Jurgens, D. (2019). Demographic Inference and Representative Population Estimates from Multilingual Social Media Data. WWW’19.

Adelani, D., Flöck, F., Grabowicz, P., Hale, S., Hartmann, T., & Jurgens, D. (2018). Agendas on Social Media: Inferring Policy Attention from Non-representative Data. IC2S 2018: International Conference on Computational Social Science.

Wang, Z. & Jurgens, D. (2018). It’s going to be okay: Measuring Access to Support in Online Communities. Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP).

Jurgens, D., Tsvetkov, Y., & Jurafsky, D. (2017). Incorporating Dialectal Variability for Socially Equitable Language Identification.  Proceedings of the Annual Meeting of the Association for Computational Linguistics (ACL).

Camargo, C., Hale, S., John, P., & Margetts, H. (2018). Volatility in the Issue Attention Economy. Preprint on arXiv:

Related Publications
by team members

Compton, R., Jurgens, D., & Allen, D. (2014). Geotagging one hundred million Twitter accounts with total variation minimization.

Grabowicz, P. A., Aiello, L., & Menczer, F. (2014, oct). Fast filtering and animation of large dynamic networks. EPJ Data Sci., 3 (1), 27.

Graham, M., Hale, S. A., & Gaffney, D. (2014). Where in the world are you? Geolocation and language identification in Twitter. Professional Geographer.

Hale, S. A. (2012). Net increase? Cross-lingual linking in the blogosphere. Journal of Computer-Mediated Communication, 17 (2), 135–151.

Hale, S. A. (2014a). Global connectivity and multilinguals in the Twitter network. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (pp. 833–842). New York: ACM.

Hale, S. A. (2014b). Multilinguals and Wikipedia editing. In Proceedings of the 6th Annual ACM Web Science Conference. New York: ACM.

Jurgens, D. (2013). That’s what friends are for: Inferring location in online social media platforms based on social relationships. In Proceedings of the International AAAI Conference on Web and Social Media.

Jurgens, D., Dimitrov, S., & Ruths, D. (2014). Twitter users #codeswitch hashtags! #moltoimportante #wow. In Proceedings of the First Work¬shop on Computational Approaches to Code Switching (pp. 51–61).

Jurgens, D., McCorriston, J., Xu, Y. T., & Ruths, D. (2015). Geolocation prediction in Twitter using social networks: A critical analysis and review of current practice. In Proceedings of the Nineth International AAAI Conference on Web and Social Media.

Jurgens, D., & Pilehvar, M. T. (2015). Reserating the awesometastic: An automatic extension of the WordNet taxonomy for novel terms. In Proceedings of the 2015 conference of the North American chapter of the association for computational linguistics: Human language technologies, Denver, CO (pp. 1459–1465).

Jurgens, D., & Stevens, K. (2010). The S-Space package: An open source package for word space models. In Proceedings of the ACL 2010 System Demonstrations (pp. 30–35).

Laufer, P., Wagner, C., Flöck, F., & Strohmaier, M. (2015). Mining cross-cultural relations from Wikipedia—A study of 31 European food cultures. In Proceedings of the 7th Annual ACM Web Science Conference. ACM.

McCorriston, J., Jurgens, D., & Ruths, D. (2015). Organizations are users too: Characterizing and detecting the presence of organizations on Twitter. In Proceedings of the 2015 International AAAI Conference on Web and Social Media.

Navigli, R., & Jurgens, D. (2014). Multilingual semantic processing with BabelNet. (Tutorial at the International Conference on Language Resources and Evaluation (LREC))

Newell, E., Jurgens, D., Saleem, H. M., Vala, H., Sassine, J., Armstrong, C., & Ruths, D. (2016). User migration in online social networks: A case study on Reddit during a period of community unrest. In Proceedings of the Tenth International AAAI Conference on Web and Social Media.