Reviews
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What Can You Do With Crowdsourced Digitization
Crowdsourcing your artifacts to the public can be a useful way of tackling some of the work that needs to get done for a particular project. With that idea comes a fair amount of planning, preparation, and work to get ready for the outside world’s contributions. This module taught me the importance of not only having a project and artifacts but also choosing the right material for crowdsourcing and making sure that whatever you decide to do, that it is easy on the user to help. If you don’t then it can negatively impact your project and probably future funding. On the other hand, if you do succeed in that…
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Crowdsourced Knowledge: How to Read a Wikipedia Article
Growing up in the early 2000s, I was taught that Wikipedia was not a credible source to be used independently in my papers. I had to use scholarly articles, papers, books, etc. Now in 2018, Wikipedia probably still has that stigma but I think that it is becoming more accepted if at least a reference while conducting scholarly research. When a person living in the past 17 years, wants to find out more information about a topic, say Digital Humanities they Google it. One of the top five results will be a Wikipedia article. A person in 2018 might ask how did Google but most importantly in this case, Wikipedia…
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Comparing Three Types of Digital Tools
Voyant can be useful to understand how many particular words or phrases were uttered. Kepler_gl can help with trying to understand not only how many interviews were conducted but where. Palladio can offer the relationship between the persons involved and where. All three types of digital tools discovered can offer a new way of interpreting the Slave Narratives. I learned with the Voyant tool that certain words were used more often than others. Then I could take those list of words and input it into the Kepler_gl tool to find out where on a map. Then I can use Palladio to understand the relationship between those words, the interviewer/interviewee, and…
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Palladio
With Palladio, the user was able to see a clearer picture of the relationships between two types of topics at a time. A limitation of Palladio and any network visualization is that there are ways of only comparing two topics and not more than two otherwise it gets harder to analyze. Based on the readings this is expected because to have more than two would be incomprehensible, especially with a large data set for the activity. For the activity we uploaded an Excel spreadsheet that was already parsed correctly. Then we had a chance to upload tables based on the input data and then filter what we wanted based on…
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Mapping with kepler.gl
Kepler.gl is a mapping software that lets the user import data and filter based on what they wish to see. I had a decent experience using this tool. The user needs to make sure that any data that they have is put into the correct format and in an Excel spreadsheet. Then upload the data, add layers to filter by, add filters and play around with the software. With this tool one is able to see the relationships of the topics based on where they were located and how often that city was mentioned. Here are some photos of the activity that I completed:
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Voyant Tools 2.0 Review and General Guide
Working with the Voyant tool was fairly simple. I imported data from an Excel spreadsheet and then analyzed it based on what I wished to filter on. I did feel limited in what I could use the tool for though. I wanted more ways of analyzing the data besides a somewhat static way of looking at the text. But this type of modeling did its job by providing me with text analysis of what I imported. I was able to discover how many times a word was used or some basic level of relationship analysis.
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Why Metadata Matters
Using this example from the JSTOR database, Equilibrium in the Jungle: The metadata describes the object image, title, authors, object type, object’s tags, publisher, and abstract. The metadata of this object does not describe the location or when it was originally published. It allows me to ask why this item was digitized, what was its importance? I believe that metadata is important because it gives the user more information about an object. They can then use it for various reasons, i.e. academic, personal, etc. The JSTOR example references some of the standard metadata fields but I would like to be able to have more data and other ways of viewing the…