2nd Workshop on Computational Impact Detection from Text Data @LREC

May 16, 2020 at Palais du Pharo, Marseille, France

Submission deadline extended: February 29th, 2020 (11:59pm AoE)

Call for Papers

Subsequent to the 1st Workshop on Computational Impact Detection from Text Data at LREC 2018 in Miyazaki, Japan, the 2nd workshop will address research questions of growing relevance and attention in linguistics, computational social science, and public policy, among other areas in this workshop. They include: How can we measure and evaluate the impact of information, such as scientific publications, user-generated content, and reports from the public administration, on individuals, groups, and society by analyzing text data? How do the outcomes compare to or supplement alternative impact assessment solutions and respective findings? Impact assessment as an application context of basic research has been gaining momentum in academia as well as the private and public sectors. A broad range of types of impact exists, such as changes in awareness for and stance towards economic, ecological and political matters. The workshop is at the nexus of expertise in different methods for analyzing text data; spanning the whole spectrum of qualitative, quantitative and mixed methods approaches, and domain expertise in impact measurement as specific application domains. We invite papers for new work on methods of Impact Research, including, but not limited to:

Important Dates

Submission link and details

Submission link:


About the submission:

The submission process will be organized using the START Conference Manager (https://www.softconf.com/lrec2020/main/). Papers should be between 3 and 8 pages excluding references complying the LREC stylesheet (https://lrec2020.lrec-conf.org/en/submission2020/authors-kit/) and the LREC 2020 author’s kit templates (https://lrec2020.lrec-conf.org/en/submission2020/authors-kit/). When submitting a paper from the START page, authors will be asked to provide essential information about resources (in a broad sense, i.e., also technologies, standards, evaluation kits, etc.) that have been used for the work described in the paper or are a new result of your research. Moreover, ELRA encourages all LREC authors to share the described LRs (data, tools, services, etc.) to enable their reuse and replicability of experiments (including evaluation ones).

Program Committee


If you have any questions, please feel free to email Andreas Witt (witt@ids-mannheim.de).


Submision link: https://www.softconf.com/lrec2020/CIDTD2020/

Important dates:

If you have any questions, please feel free to email Andreas Witt (witt@ids-mannheim.de).