Affiliation:
1. Australian National University
2. University of Melbourne
3. King's College London
Abstract
The Artificial Intelligence research field sits at the intersection of several overlapping spheres (academia, industry, media), each with their own logics and commitments. The influence of research within these worlds is studied through a number of bibliometric methods, including citation metrics for measuring influence within academia, and counts of patents and news-media mentions for influence in industry and the media. Using a large-scale, publicly-available dataset of research outputs, we compare the topical content of outputs that are highly influential in each of these worlds. We identify significant differences between the content of influential research in these worlds, indicating that the academic, industry and media worlds value different aspects of the Artificial Intelligence field. These differences provide new insights on the evaluation of research produced within the Artificial Intelligence field.
Publisher
International Conference on Science, Technology and Innovation Indicators
Reference35 articles.
1. Abadi, H. H. N., He, Z., & Pecht, M. (2020). Artificial Intelligence-Related Research Funding by the U.S. National Science Foundation and the National Natural Science Foundation of China. IEEE Access, 8.(https://doi.org/10.1109/ACCESS.2020.3029231)
2. Amami, M., Pasi, G., Stella, F., & Faiz, R. (2016). An lda-based approach to scientific paper recommendation. International Conference on Applications of Natural Language to Information Systems, 200–210.()
3. Anupriya, P., & Karpagavalli, S. (2015). LDA based topic modeling of journal abstracts. 2015 International Conference on Advanced Computing and Communication Systems, 1–5. (https://doi.org/10.1109/ICACCS.2015.7324058)
4. Blei, D. M., Ng, A. Y., & Jordan, M. I. (2003). Latent Dirichlet Allocation. Journal of Machine Learning Research, 3, 993–1022.()
5. Bughin, J., Hazan, E., & Ramaswamy, S. (2017). Artificial intelligence: The next digital frontier? (https://apo.org.au/node/210501)