Research:Reliable sources and public policy issues on Wikipedia
This page documents a research project in progress.
Information may be incomplete and change as the project progresses.
Please contact the project lead before formally citing or reusing results from this page.
This research project seeks to understand the extent that policy research reports and papers from organisations are being cited on Wikipedia, what kinds of sources are being cited and how can editors and readers be supported in evaluating their credibility.
A key part of Wikimedia’s defence system against mis/disinformation is its content and citation policies however Wikipedia’s reliable sources policies are still grounded in traditional notions of the research publishing economy as primarily commercial and scholarly publishers and mainstream news media. This is problematic for public policy and public interest topics which tends to have a more diverse media economy of sources, including organisations based in government, civil society, education and commercial sectors, and genres such as reports, policy briefs, fact sheets and datasets.
Public policy is a complex, dynamic and multicentric environment and this is reflected in the diverse publishing ecosystem producing policy-related research including International NGOs, national government agencies, think tanks and research centres. Publications produced by organizations (grey literature) are often more timely and accessible and provide perspectives from community and Indigenous organizations, however some are also partisan and funded by commercial or vested interests – making evaluation of sources challenging.
It will analyse and extend existing research from English Wikipedia (including Avieson 2022; Ford et al. 2013; Lewoniewski 2022; Luyt 2021; Singh et al. 2021; Wong et al. 2021) the Missing Link Project, funded by a WMF Alliance grant in 2022. The research will involve mapping organisations and genres across key topics on English Wikipedia including analysis by location, topic area, sector and genre, and provide recommendations for improving guidelines that better reflect the complexity of the research publishing ecosystem. Wikidata will also be used to analyse and collect data, classify policy sources and genres and visualise key policy networks.
The project will provide new insights not only for Wikimedia but also for the wider evidence and policy research community. It will also help to strengthen Wikipedia’s verifiability processes and Wikimedia’s role as a leader in digital and media literacy and education – helping to deliver the 2030 Movement Strategy as essential infrastructure of the free knowledge ecosystem.
Methods
[edit]To answer the two main research questions listed above the project will take a sociotechnical approach to the research methods and analytical tools including content analysis, citation and network analysis, data linking, visualizations and case studies.
The focus of analysis will be on around 1000 public policy related articles and their citations on English Wikipedia combined with data from entities on Wikidata including concepts, organizations and publishers, locations and other data. Various administrative pages on English WP will also be analysed for guidelines and policies and a number of case studies developed on key topics and organizations.
To define the public policy domain, which crosses both science and social sciences, we will start with a number of key articles and use the internal link structure of Wikipedia combined with categories, Wikidata concepts, etc. to develop a list of key topics across the public policy domain. For example based on What links here link count the Public policy article on Wikipedia has 2,147 direct links from other articles while the Science policy article has 353 and Environmental policy 651. Many of these policy topics have lists and portals, country specific subpages etc. which will also be analysed to provide a corpus of around 1000 public policy related articles. Consultation on the list of articles for analysis will also occur with Wiki projects such as the science policy project and some of the environmental, public health and medicine projects as well as other special interest groups.
Following the selection of content, references will be extracted and classified then mapped to Wikidata entries, topics, and locations. The citations from the policy arena can then be compared to the full citation data for English Wikipedia. As discussed earlier, access to WP citations is not easy however there are various methods and tools which have been developed by other researchers which are available as well as existing datasets of citations. Arroyo-Machado et al. (2022) provide a summary table of Wikipedia data sources by format, update frequency, data quantity, type, and challenges which includes: Wikimedia Dumps, MediaWiki and Wikimedia APIs, Wiki Replicas, Event Streams, Analytics dumps, WikiStats, Dbpedia, XTools, Repositories and Altmetric aggregators. It is expected that for this research Wikipedia data dumps, web scraping from the target pages, and citation data sets from previous research will be the main data source for citations. These will be linked and enhanced with data from other databases such as Wikidata, CrossRef, ISNI, OpenAlex, Dimensions, Internet Archive etc.
The final dataset will then be analysed for frequency of citation, type of organization, and visualized using various tools such as network graphs, timelines, geospatial mapping etc. A rating of the reputation of sources will be made based on the information available on organizations via WP and WD, the reputable sources lists and other sources and where poor sources have been listed these may be flagged on the relevant pages. The data extraction, linking and analysis process will be assisted by a data scientist working on the project for 2 months.
Consultations and feedback with the Wikimedia community will occur at Wikimania in Singapore in August and the Wikidata conference in Taiwan in September 2023 and online with various projects including Wikicite and the Shared citations project. Funding for attending the Wikidata Conference in Taiwan is included in the budget.
Following an analysis of guidelines available on WP and consultation with various projects such as science and medicine and other interest groups a set of draft guidelines for grey literature will be developed and circulated and the data, a project report and journal article will be published open access.
Project activities
[edit]- Literature review and analysis of existing data
- Initial page review and analysis
- Consultations with community at Wikimania 2023, Singapore
- Review policy pages in WP and organizations in Wikidata and make selection of corpus
- Create knowledge graph based on page links
- Extract citation data from corpus into structured format
- Data cleaning and linking to Wikidata
- Data analysis and initial results write up
- Presentations of preliminary results
Forthcoming
- Final analysis and publication of results on Meta
- Publication of data and methods on project site and Github
- Journal article
Project extension
Further analysis of data may be possible using through external funding support and collaboration with colleagues in late 2024.
Policy, Ethics and Human Subjects Research
[edit]N/A
Results
[edit]Analysis of results is still ongoing and will be updated here and in an open access publication later this year.
Outreach and Engagement
[edit]Presentations
[edit]Although the results are not yet finalised I have given a number of presentations on the topic of this research.
• Prior to receiving the grant I presented at the Worlds of Wikimedia conference at the University of Sydney in 2022 on public policy and organisations as sources in Wikipedia.
• Preliminary findings were presented at the International Communications Associations Conference, June 2024 on the Gold Coast, Queensland, Australia
• On Wikipedia sources and data flows at the Wikihistories Symposium, June 2024, Brisbane, QLD, Australia
Publications
[edit]Amanda Lawrence & Brigid van Wanrooy, New Review of Hypermedia and Multimedia on "Sourcing public policy: organisation publishing in Wikipedia", https://doi.org/10.1080/13614568.2024.2343845 (Open Access)
Astract: Organisations across multiple sectors are prolific publishers in a range of genres including research reports, policy briefs, fact sheets, datasets and much more. Sometimes referred to as grey literature, these publications play a critical role in the circulation of research and ideas on public policy and public interest issues, yet they are often overlooked as part of the research publishing system, including on Wikipedia and Wikimedia. One of the cornerstones of Wikipedia is its reliance on citations from reliable sources, however little is known about the way in which organisation-produced and disseminated publications are understood and used as sources on Wikimedia platforms. This article reviews the literature and analyses available data on the sources used on English Wikipedia and what it can tell us about the extent to which policy reports from organisations are cited and the issues that arise with evaluating their reliability. We then provide a case study of a project underway by the Analysis & Policy Observatory (APO), a digital library of policy reports based in Australia, which aims to improve the presence of high-quality policy and research material and coverage of policy issues on Wikipedia.
Resources
[edit]A project website has notes on work in progress. This is a bit out of date but will be updated with final results. A Github with the knowledge graph code will also be available shortly.
References
[edit]Public Zotero library of Wikimedia related publications that informed this work and beyond.
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