Beyond Citations: Corpus-based Methods for Detecting the Impact of Research Outcomes on Society

Rezvaneh Rezapour, Jutta Bopp, Norman Fiedler, Diana Steffen, Andreas Witt, Jana Diesner

Abstract
This paper proposes, implements and evaluates a novel, corpus-based approach for identifying categories indicative of the impact of research via a deductive (top-down, from theory to data) and an inductive (bottom-up, from data to theory) approach. The resulting categorization schemes differ in substance. Research outcomes are typically assessed by using bibliometric methods, such as citation counts and patterns, or alternative metrics, such as references to research in the media. Shortcomings with these methods are their inability to identify impact of research beyond academia (bibliometrics) and considering text-based impact indicators beyond those that capture attention (altmetrics). We address these limitations by leveraging a mixed-methods approach for eliciting impact categories from experts, project personnel (deductive) and texts (inductive). Using these categories, we label a corpus of project reports per category schema, and apply supervised machine learning to infer these categories from project reports. The classification results show that we can predict deductively and inductively derived impact categories with 76.39% and 78.81% accuracy (F1-score), respectively. Our approach can complement solutions from bibliometrics and scientometrics for assessing the impact of research and studying the scope and types of advancements transferred from academia to society.
Anthology ID:
2020.lrec-1.837
Volume:
Proceedings of the Twelfth Language Resources and Evaluation Conference
Month:
May
Year:
2020
Address:
Marseille, France
Editors:
Nicoletta Calzolari, Frédéric Béchet, Philippe Blache, Khalid Choukri, Christopher Cieri, Thierry Declerck, Sara Goggi, Hitoshi Isahara, Bente Maegaard, Joseph Mariani, Hélène Mazo, Asuncion Moreno, Jan Odijk, Stelios Piperidis
Venue:
LREC
SIG:
Publisher:
European Language Resources Association
Note:
Pages:
6777–6785
Language:
English
URL:
https://aclanthology.org/2020.lrec-1.837
DOI:
Bibkey:
Cite (ACL):
Rezvaneh Rezapour, Jutta Bopp, Norman Fiedler, Diana Steffen, Andreas Witt, and Jana Diesner. 2020. Beyond Citations: Corpus-based Methods for Detecting the Impact of Research Outcomes on Society. In Proceedings of the Twelfth Language Resources and Evaluation Conference, pages 6777–6785, Marseille, France. European Language Resources Association.
Cite (Informal):
Beyond Citations: Corpus-based Methods for Detecting the Impact of Research Outcomes on Society (Rezapour et al., LREC 2020)
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PDF:
https://preview.aclanthology.org/naacl-24-ws-corrections/2020.lrec-1.837.pdf
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