Computational Social Science and NLP
Language is perhaps the most salient outcome of complex social processes. We do not expect teenagers to speak like senior citizens, and we recognize the mutual dependency between language and social factors. Although this interdependence is at the core of models in both natural language processing (NLP) and (computational) social sciences (CSS), these two fields still exist largely in parallel, holding back research insights and potential applications.
This workshops aims to advance the joint computational analysis of social sciences and language by explicitly connecting social scientists, network scientists, NLP researchers, and industry partners.
We invite research on any of the following general topics, with an emphasis on drawing data and methods from the web and social media:
• Validity and evaluation of social science methods in NLP, and vice versa
• Application of NLP tools to (computational) social science problems
• Predictive modeling of extra-linguistic attributes (age, gender, location, etc.)
• NLP models that incorporate extra-linguistic social information
• Privacy and ethical implications of demographic inference
• The end of social theory in the time of big data
• Interaction between social science theory and industry (e.g. feature engineering)
Areas of interest include all levels of linguistic analysis, network science, and social sciences, including (but not limited to): economics, political science, geography, public health, psychology, sociology, sociolinguistics, phonology, syntax, pragmatics, and stylistics.
• March 25, 2016: submission deadline via EasyChair
• April 10, 2016: notification date
• April 24, 2016: Camera Ready submission
• May 22, 2016: Workshop at WebSci-2016 in Hannover, Germany
We invite both long and short papers of interest to be submitted through EasyChair:https://easychair.org/conferences/?conf=nlpcss2016. Long papers should present new and substantial contributions related to the workshop’s theme. Short papers may be a small and focused contribution or describe a work in progress. While all submissions will be peer reviewed equally, authors can choose a non-archival submission to allow for later publication. The best papers of the workshop will be invited to submit to a special journal issue on NLP and CSS.
Papers will follow the ACM Style guidelines. Long papers are recommended to be 8 pages, with a maximum length of 10 pages including references; short papers are recommended to 4 pages with a maximum length of 5.
The NLP+CSS websites contains more details on the call for papers, submission instructions, and aims of the workshop:
Format and Schedule This full day workshop will include
• Multiple talks from invited speakers
• Two sessions of short-form talks from the best papers
• A poster session for all papers
We intend to draw invited speakers from diverse fields relating to web science, social science, and sociology in order to bring outside perspectives on the problems relevant to the field. Our current program committee provides a sample of prominent researchers in these areas who will potentially be invited.
David Bamman, University of California Berkeley A. Seza Doğruöz, Tilburg University Jacob Eisenstein, Georgia Tech Dirk Hovy, University of Copenhagen David Jurgens, Stanford University Brendan O'Connor, University of Massachusetts Amherst Alice Oh, KAIST Oren Tsur, Harvard University and Northeastern University Svitlana Volkova, Pacific Northwest National Laboratory