User:Feidler

Week 1

5/31

• Attended orientation
• Met with advisor (Dr. Michael Zimmer)
• Explored research papers related to Zuckerberg Files

6/1

• Completed CITI modules
• Reviewed Dr. Zimmer's paper
• Explored analytics tools
• Continued reviewing papers related to Zuckerberg Files

6/2

• Met with Dr. Zimmer for further discussion, followed by lunch
• Continued exploring potential tools
• Continued reviewing papers related to Zuckerberg Files

6/3

• Reviewed papers on quantitative textual analysis
• Explored WordStat tool and quanteda R package

Week 2

6/6

• Attended RCR training
• Watched tutorials on WordStat tool

6/7

• Read Yazeed Alhumaidan's dissertation methodology
• Met with mentor to discuss potential tools
• Explored possible tools for analysis and data cleaning

6/8

• Attended talk on technical writing
• Continued searching for possible tools

6/9

• Met with adviser and touched base
• Set in motion ordering for WordStat
• Reviewed WordStat tutorials

6/10

• Installed trial version of WordStat

Week 3

6/13

• Obtained xml file of the archive
• Created archive account
• Began work on script to automate download and collection of transcripts

6/14

• Continued working on script
• Tested draft documents in WordStat

6/15

• Attended research presentation given by Dr. Madiraju
• Began debugging script

6/16

• Finished debugging script
• Organized all blog posts into one file for analysis

6/17

• Automated conversion of files from .pdf to .txt files

Week 4

6/20

• Cleaned set of files, so no interviews/video transcripts
• Obtained official license for WordStat

6/21

• Ran initial analysis in WordStat
• Fine-tuned text processing
• Refined some transcript errors

6/22

• Attended research talk given by Dr. Bialkowski
• Finished cleaning typos/errors in transcripts
• Explored frequencies and topic extraction

6/23

• Explored dendrogram anaylsis
• Explored proximity plots
• Experimented with different aspects of preprocessing

6/24

• Explored link analysis
• Experimented with postprocessing of text
• Tested graphing for frequencies

Week 5

6/27

• Attended talk on presentation
• Produced graphs of initial findings
• Reviewed relevant literature for presentation

6/28

• Made PowerPoint for presentation
• Rehearsed presentation
• Revised relevant graphs

6/29

• Gave presentation of work so far
• Gathered creation dates of posts
• Began process of changing post creation dates

6/30

• Continued coding the change of creation dates
• Experimented with cluster mapping

7/1

• Creation dates successfully changed
• Began experimenting with crosstab tool

Week 6

7/5

• Continued experimenting with crosstab
• Graphed frequencies over time
• Explored bubble plotting

7/6

• Attended student check-in
• More graphing, trying different intervals of time
• Explored heatmap tool

7/7

• Explored deviation table
• Examined key words in context

7/8

• Gathered more transcripts from the archive (non social media)
• Continued graphing different clusters
• Continued examining key words in context

Week 7

7/11

• Converted new PDFs into .txt files
• Began graphing topics instead of words

7/12

• Continued graphing topics
• Began cleaning new transcripts

7/13

• Attended student check-in
• Continued cleaning transcripts

7/14

• Redid conversion of PDFs to .txt with new packages
• Continued cleaning transcripts

7/15

• Attended Dr. Zimmer's talk on Data Ethics
• Continued cleaning transcripts