Scribed by Sage P.

“Room A Section 1: Topic- Intro to API’s

DPLA- Digital Public Library

API-Application programming interface

Behind the scenes, to get data

Why?

Scrape data from webite

Data in a structured way

need

Chrome

Postman in chrome (Add app)

(Don’t have to sign up)

hit “send”

It will email a key

API request

Protocol-Domain-version-action-parameter

Switch to GET. Enter domain: api/dpla/v2/items

Params (parameter)

Key & Value

Api_key… # from email

Key: q (query)

Value: (search)

Click send

0 is first not 1

Count -# of matched

Start   Limit   Docs

Different way to search, defined on Dpla website

Specific info back

(ID & titles)  put in fields   Pagination   Saving it is by send & download

More way to access

Web console

Web application- developed gwu library

Commandline- twarc (twitter app)

Code- can always write code

(depend on API and what you want)

Read documentation (to understand)

You may not understand data if you don’t

Fairly stable

Disasterview.laurawrubel.org

Tweeting slides”

Rebecca Benefiel presented and talked about using tools for data analysis that would be useful for businesses, social media, and email communications. Rebecca said that when you analyze text, which approaches do you use depends on what is the focus of your research. Specifically, for social research your often confronted with a lot of language material. In essence, when you do the analysis with one of the tools you focus on detailed analysis of text. Some of the uses of text analysis tools that were mentioned and briefly explained are:

• Social network analysis
• Geo-spatial/mapping
• Distance reading/content analysis
• Visual/sound analysis
• Visualization

Also, Rebecca mentioned Gephi; another tool platform, which is used for data analysts and scientists keen to explore and understand graphs. A tool in which “the user interacts with the representation, manipulate the structures, shapes and colors to reveal hidden patterns”.

Some of the tools for text analysis mentioned are:

• Dirt Directory (dirtdirectory.org)

• Voyant (voyant-tools.org) for text analysis

• Open Refine (openrefine.org)

• Programming Historian

AND Notes from Neil on the same workshop  Tool Sharing w/ Rebecca (Text Analysis

• Easier to learn by example
• Types of digital tools
  • Text analysis
  • Social network analysis
  • Geo-spatial/mapping
  • Distance reading/content analysis
  • Visual/sound analysis
  • Visualization
• Voyant tools demonstration
  • Allows people to replicate your analysis about the data set
  • Open source
  • Many tool options
  • Helpful community
  • Ability to filter out words in data, while maintaining full original text
  • Can increase tool window size (term #)
  • How to get Twitter text?
    • “tags” – allows you to collect data every minute from Twitter
  • The Programming Historian
    • Used to ask and answer humanities quetsions
    • Well-written tutorials
  • Open Refine
    • Helpful explanation video on Youtube
  • Text grid
    • Software for download (open-sourced)
    • Search image (create hyperlink)
  • org
    • Visualizing networks
    • Viewing group clusters
  • Palladio
    • Limited in showing statistical importance of people in a social netowrk
  • Node Excel
  • Omeka
    • Good for images, video, sound

THAT Camp Conference Summary

Transcribed by: Manuel Fiallos Garcia

The conference I was in talked about Wikipedia. It focused in the fact that there’s a lot of information in Wikipedia that you can come to believe it’s fake. That is because people could edit information easily and there was no problem with it, even if it was fake. People started doubting about using Wikipedia as a credible source and developed a tendency to disapprove it as a primary source of information. In the conference, they explained that there are actually back up proves of who the author is and what he added to the information, bringing more credibility to the source. As well, now you need to become an approved user to be able to edit in Wikipedia. They told us that also if you get to add too much fake information, people can flag you and you can get to a point were you are blocked from editing the content in Wikipedia. There was also someone who had edited a page in Wikipedia and showed us where her user appeared and what she had edited. A lady was saying that there might be content that even though it is backed up by an author’s biography website or some sort of website containing the content he added up; there might a probability that what he added is fake and could have make up that information in the website just to add content to Wikipedia. We saw a video containing how to edit Wikipedia and how people really use this tool to spread the information they know and contribute to the digital information world. This is the audio file that contains the conference, it is not that great the audio but it can provide a further insight of what they talked in the session. Thanks.