Steffen Staab
Susan Halford
Wendy Hall
- Aroyo, L. and Welty, C. Truth is a lie: Crowd truth and the seven myths of human annotation. AI Magazine 36, 1 (Jan. 2015), 15--24.Google Scholar
Cross Ref
- Baeza-Yates, R.A. Bias on the Web. Commun. ACM 61, 6 (June 2018), 54--61. Google ScholarDigital Library
- Bello, P. and Bringsjord, S. On how to build a moral machine. Topoi 32, 2 (Oct 2013), 1572--8749.Google ScholarCross Ref
- Berners-Lee, T. Information Management: A Proposal. Technical Report, CERN (Mar. 1989, May 1990); http://cds.cern.ch/record/369245/files/dd-89-001.pdfGoogle Scholar
- Berners-Lee, T. Weaving the Web. Harper, New York, 2000.Google Scholar
- Berners-Lee, T., Hendler, J. and Lassila, O. The Semantic Web. Scientific American 284, 5 (May 2001), 34--43.Google ScholarCross Ref
- Berners-Lee, T. et al. Creating a science of the Web. Science 313.5788 (2006), 769--771.Google Scholar
- Brand, S. The Media Lab: Inventing the Future at MIT. V. Viking Penguin, 1987. Google ScholarDigital Library
- Cunningham, J. Digital Exile: How I Got Banned for Life from AirBnB. https://medium.com/@jacksoncunningham/digital-exile-how-i-got-banned-for-life-from-airbnb-615434c6eebaGoogle Scholar
- Clark, C. The Sleepwalkers: How Europe Went to War in 1914. Penguin, 2013.Google Scholar
- Day, M. Teaching the Web: Moving Towards Principles for Web Education. Ph.D. dissertation, University of Southampton, 2019.Google Scholar
- Gao, J., Galley, M., and Lihong, L. Neural Approaches to Conversational AI. (2018); CoRR abs/1809.08267Google Scholar
- Gillies, J. and Cailliau, R. How the Web Was Born. Oxford University Press, Oxford, 2000.Google Scholar
- Halford, S. and Savage, M. Reconceptualising digital inequality. Information, Communication, and Society 13, 9 (July 2010), 937--955.Google Scholar
- Halford, S. Digital Futures? Sociological challenges and opportunities in the emergent Semantic Web. Sociology 47, (Jan. 2012), 173--189.Google Scholar
- Halford, S. et al. Understanding the production and circulation of social media data: Towards methodological principles and praxis. New Media and Society (2017)Google Scholar
- Halford, S. and Savage, M. Speaking sociologically with big data: Symphonic social science and the future for big data research. Sociology 51, 6 (June 2017), 1132--1148.Google ScholarCross Ref
- Hill, B.M. Almost Wikipedia: Eight early encyclopedia projects and the mechanisms of collective action. In Essays on Volunteer Mobilization in Peer Production. Ph.D. dissertation, Massachusetts Institute of Technology, 2013. https://mako.cc/academic/hill-almost_wikipedia-DRAFT.pdf.Google Scholar
- Krizhevsky, A. et al. ImageNet classification with deep convolutional neural networks. Commun. ACM 60, 6 (June 2017), 84--90. Google ScholarDigital Library
- Mika, P. and Tummarello, G. Web semantics in the clouds. IEEE Intelligent Systems 23, 5 (May 2008), 82--87. Google ScholarDigital Library
- Savage, M. and Burrows, R. The coming crisis of empirical sociology. Sociology 41, 5 (May 2008), 885--899.Google Scholar
- Schelter, S. and Kunegis, J. On the ubiquity of Web tracking: Insights from a billion-page Web crawl. J. Web Science 4, 4 (Apr. 2018), 53--66.Google ScholarCross Ref
- Shadbolt, N.R. Towards a classification framework for social machines. WWW (Companion Volume) 2013, 905--912. Google ScholarDigital Library
- Simonite, T. When it comes to gorillas, Google photos remains blind. Wired (Jan 11, 2018); https://www.wired.com/story/when-it-comes-to-gorillas-google-photos-remains-blind/.Google Scholar
- Stuart-Ulin, C.R. Microsoft's politically correct chatbot is even worse than its racist one. Quartz (July 31, 2018); https://qz.com/1340990/microsofts-politically-correct-chat-bot-is-even-worse-than-its-racist-one/.Google Scholar
- Tinati, R. Big data: Methodological challenges and approaches for sociological analysis. Sociology 48, 4 (2014), 663--668.Google ScholarCross Ref
- Vrandecic, D. and Krötzsch, M. Wikidata: A free collaborative knowledgebase. Commun. ACM 57, 10 (Oct. 2014), 78--85. Google ScholarDigital Library
Index Terms
- Web science in Europe: beyond boundaries
Recommendations
Agrifood research in Europe: a global perspective
The paper has the general aim of assessing the worldwide research activity in agricultural and food science and technology as it is reflected by the mainstream journal literature. The specific research questions were as follows: (1) What is the position ...
A view from Web of Science: Journals, articles, impact
NFAIS 2016 Annual Conference: Data sparks discovery of tomorrow’s global knowledgeScholarly communication is truly global. While in the past, articles based upon scientific research were primarily from the United States and Europe, today countries such as China, South Korea, and Brazil – along with others that were minor contributors a ...
Information science in Europe
ASIS&T '10: Proceedings of the 73rd ASIS&T Annual Meeting on Navigating Streams in an Information Ecosystem - Volume 47This panel aims at giving an overview on the situation of information science in a few selected European countries/regions (Scandinavia, France and former Yugoslavian countries). At the beginning the panelists will give an outline on the discipline in ...
Comments