Wikidata:WikiProject LD4 Wikidata Affinity Group/Wikidata Working Hours/2023-September-29 Wikidata Working Hour
September 29, 2023 Wikidata Working Hour
editFriday, September 29, 2023 at 10:00am PT / 1:00pm ET / 17:00 UTC / 6:00pm WAT / 7:00pm CEST / 10:30pm IST
Logistics
editZoom link to join:
Password:
Recording
editView recording: https://stanford.zoom.us/rec/share/a7dmkCBZ0g0jz7TlsWKKhMrJBMPq36tRwCayKhpIBq2a8snAz5snIYpckCXLgZKv.7kTgTjSOXrOm0Ox0?startTime=1696006435000
If you wish to download the files, you can use the "Download (4 files)" link on the upper right of the page linked above.
Collaborators
editCo-Leads: Joe Cera, Jackie Rubashkin
Chat Monitor: Jamie Carlstone
Event page: Susan Radovsky
Event dashboard: Susan Radovsky
Series Coordinators: Alexandra Wong, Hilary Thorsen, Susan Radovsky
Metrics
editLogin to the Event Dashboard with your Wikimedia account to keep track of your edits today
Background
editStarting in August and running through December, 2023, we will be assembling a data set of diverse LIS (Library and Information Science) materials (articles, conference proceedings, books) and adding it to Wikidata during a series of Wikidata Working Hours. Each event will provide an opportunity to try out different Wikidata-related skills and tools while working with a finite dataset. Topics covered in the Working Hours will include: assembling a bibliography, exporting articles and books from Zotero into QuickStatements, webscraping for data in the PAWS environment, adding authors and publishers manually into Wikidata, batch editing using OpenRefine, batch editing using the LINCS tool, using the Author Disambiguator tool, and analyzing and visualizing data with SPARQL and Scholia.
The fourth Wikidata Working Hour in the series will cover the introduction of the Wikimedia PAWS environment as an option for data gathering and processing for your Wikidata project needs. We will spend the majority of the time looking at web scraping for article data using Python and the Beautiful Soup package for parsing. This includes looking at the scraping results of some pages and discussing what makes a page a good candidate for web scraping. We will also use this as an opportunity to think about data models and how to make your data approachable for both machines and humans. Lastly, we will fill out the skeleton of a web scraper with the appropriate information to scrape a page ourselves and then appreciate how this process can be scaled to scrape multiple pages while running a single script.
Today's Working Hour is part of a special series of sessions involving a single data set. You don't have to attend every session to be part of the project, but you can find details about the whole series here.
Citation Politics
editThe ethos of the Working Hour series centres around citation politics and the environmental factors that encourage gaming citation practices.
As feminist scholar Sara Ahmed writes, "I would describe citation as a rather successful reproductive technology, a way of reproducing the world around certain bodies.... The reproduction of a discipline can be the reproduction of these techniques of selection, ways of making certain bodies and thematics core to the discipline, and others not even part."
On the racial politics of citation, Victor Ray states, "Citations draw our attention to the ideas that supposedly matter, they are a measure of one’s intellectual influence and they shape what we are able to think about a given field. Citations, or a lack thereof, bolster reputations and facilitate or exclude one from subsequent opportunities."
We invite reflection and action on how Wikidata, as a linked open database with ties to search engines and Wikipedia and with querying and visualization with SPARQL and Scholia, might help diversify who and what gets cited in the field of LIS.
Citation Politics, a term I prefer to reframe as the "Citation Game," extends beyond the existing discourse. This phrase better encapsulates the dynamics among scientists regarding referencing and citing each other's work; this phenomenon has taken a troubling turn with a rising prevalence of biases. Nowadays, the lines between constructive referencing and manipulation blur as journal reviewers overtly request authors to include citations in their papers; manipulation of citations has evolved into a strategic tool aimed at inflating the Impact Factor of publications, which becomes intertwined with university rankings, addressing this issue necessitates a rigorous investigation to enhance the integrity and quality of scholarly contributions in the realm of citations.
Agenda
edit- Background on the Working Hour Series project
- Introduction to web scraping
- Tour of the PAWS environment (https://wikitech.wikimedia.org/wiki/PAWS )
- Discussion of what makes a page good (or less good) for web scraping through examples
- Populating a skeleton of a web scraping script to practice the process
- A demonstration of how this can save time at scale (if there is time)
Ways to Contribute
edit1. Look for sites that have content you need in a repeatable form
2. Add the LIS material you find to the spreadsheet
Record the URL, Title, Resource Type, and QID if a Wikidata item has already been created for it.
Resources
editPython files for those that want to jump ahead
- https://github.com/kroefeet/CitationScraping
- Note: There is a public link option available in PAWS to make sharing easier but it doesn't seem to be working at the moment
- https://github.com/kroefeet/CitationScraping/blob/main/start_lead_pipe_scrape.py
- This is the file we will fill out during the working hour to scrape a page
Pages we will be looking at for scraping:
- In The Library With The Lead Pipe: https://www.inthelibrarywiththeleadpipe.org/
- Equity & Social Justice Advisory Group Resources: Whiteness and Librarianship Libguide: https://research.lib.buffalo.edu/esjag-reading/whiteness-librarianship
- Literature on Diversity in the LIS Profession: https://sis.wayne.edu/diversity/literature-on-diversity
Beautiful Soup Documentation: https://www.crummy.com/software/BeautifulSoup/bs4/doc/