SURVEY: What do journalists do with text?
Thank you for taking this survey. Your answers will inform my John S. Knight Journalism Fellowship project at Stanford University, where I'm working on designing text-data processing solutions for journalists. Read more about it in my blog>
If you've worked on a news story/project that involved the analysis of a large group of documents (official statements, tweets, emails, speeches, etc.), please share the following information about it:
Your position/role in the production of the story:
Please share a link to the story:
If the story is not published/available, include a brief description below (summary, date of production, media outlet, authors)
1. How were the documents/text obtained? (mark all that apply)
Directly from a source (via email/file sharing/flash drive/etc.)
Manual web search
2. Where did you source them from? (ex. NYPD; websites of stores selling bicycles in California; twitter accounts of US lawmakers, etc.)
3. In what format were the documents obtained?
PDF created from images (text couldn't be copied and pasted)
PDF created from digital documents (text could be copied and pasted)
Digital image (jpeg/jpg/tiff/png/etc.)
Hard copies (printed documents/books/etc.)
Spreadsheet/table (CSV/Excel files/etc)
Text files (MS Word/plain text editor/etc.)
HTML (web pages)
4. Which of the following processes were involved in the preparation of the documents?
Digitization of printed documents
Optical Character Recognition (OCR)
Correcting (deficient) OCR results
Converting files from one format to another
Text re-structuring (creating a database/dataframe/corpus)
5. How did you analyze/process the content of the documents?
Human reading exclusively
Human reading mostly, aided by very basic computer-assisted search of relevant terms
Automated count of terms
Search of pre-defined/known elements
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