CiteLearn: An academic tool for learning to cite sources
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CiteLearn: An academic tool for learning to cite sources
- 1. CiteLearn An academic tool for learning to cite sources Dr Simon Knight (with Dr Shibani Antonette, Assoc/Prof Heather Ford, Dr Simon Chambers) @sjgknight http://sjgknight.com Transdisciplinary School
- 2. 2 The Problem: {{Citation needed}} Wikipedian Protester, by XKCD at https://xkcd.com/285/
- 4. 4
- 5. The tool + wider tasks 5
- 7. Where we’re at 1. Verifiability is multifaceted: Cite, specify, edit, etc. 2. Wikimedia infrastructure complex 3. Machine learning of {{citation needed}} is challenging 4. Wikipedia is an unusual genre 1. Machine learning challenging (unbalanced) 2. Specific genre differs from student writing 7
- 8. Thank you Dr Simon Knight @sjgknight http://sjgknight.com Acknowledgements (among others) WikiCred, for funding for the work UTS support Dr Miriam Redi research scientist at Wikimedia Foundation Ai-Jou Chou research intern at Wikimedia Foundation Want to work with us? Get in touch! The WikiCred Grants Initiative supports research, software projects and Wikimedia events that explore information reliability and credibility. WikiCred’s funding is provided by Craig Newmark Philanthropies, Facebook, and Microsoft. https://github.com/thelondonsimon/citelearn https://citelearn.wmcloud.org/ https://misinfocon.com/citelearn-an-academic-tool-for-learning-to-cite- sources-eefa491bdeb2 Dr Simon Knight (with Dr Shibani Antonette, Assoc/Prof Heather Ford, Dr Simon Chambers)
- 9. Thank you (and questions) https://misinfocon.com/citelearn-an-academic-tool-for-learning-to- cite-sources-eefa491bdeb2 https://wikiconference.org/wiki/2019/Grants/CiteLearn_- _an_academic_tool_for_learning_to_cite_sources https://github.com/thelondonsimon/citelearn https://citelearn.wmcloud.org/ @sjgknight http://sjgknight.com/
Editor's Notes
- Thanks for invitation and for coming along
- Why do we care? Verifiability is a fundamental principle of Wikipedia, underpinning its credibility as a source Citation practices — the provision of reliable external warrants for claims — are central to trust and credibility not only on Wikipedia, but in journalism, science, scholarship, and other genres of research and writing. Students need inducting into these practices. Editing Wikipedia may be one way. (interesting aside, I could not find anything that analyses ‘who adds unverifiable / citation-needed claims’ which would help understand if they were novices
- So, we’re building a tool In round one, students must locate where citations should be placed in articles that are provided to them. We will use knowledge about those articles to assess how appropriately students insert citations. In round two, students must write articles, including citations. In this latter round, the Citation Detective API — which is used to label sentences that require a citation — will be used to provide automated feedback to students, and develop their citation practices. I can also show the tool And the evaluation approach
- In round two, students must write articles, including citations. In this latter round, the Citation Detective API — which is used to label sentences that require a citation — will be used to provide automated feedback to students, and develop their citation practices. And the evaluation approach
- Why do we care? Citation practices — the provision of reliable external warrants for claims — are central to trust and credibility not only on Wikipedia, but in journalism, science, scholarship, and other genres of research and writing.
- Students need to learn about multiple facets of verifiability; {{citation needed}} plus editing, specificity of claims, merging and removing sentences, etc. Wikimedia Toolforge useful for single tools, but not integrated (wmcloud). Some challenges in documentation here, and e.g. with visualeditor Machine learning of {{citation needed}} is challenging, (what’s common knowledge? What contextual information do we include e.g. around surrounding sentences? What features do we include?) Wikipedia is reference heavy, and so hard to balance dataset, the dataset of sentences without citation contains many that could have a citation! And many sentences (“In my view”) that studnts should write in other contexts are in any case excluded from Wikpiedia by NPOV This means it’s hard to find examplars from wiki of sentences appropriately without citations, feedback in this context should probably focus on how to construct a factive claim, rather than on citation neediness. While in other learning contexts, we want students to engage in critical evaluation and construction of their own argument.