To learn more about my digital footprint I decided to run mouse tracking in processing to record my mouse activity while I am trying to complete an assignment. I didn’t want to be monitoring it for a long period of time because I wanted to concentrate on a specific assignment and answer the question of [...]
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We spent this week looking at our digital footprint. I began by tracking my key strokes with Backtrack. I was also able to export my gmail from 2007 to 2009 using a Python script. Finally I was able to export single folders from my gmail to google drive where they could be downloaded as a [...] I also did a small test with the last few months of my OpenPaths data. Besides a few trips to Pennsylvania and one to Toronto, I spend most of my time around 40 degrees N and between 73 and 74 degrees W. I wanted to see where “there me” was– so I looked up “opposite coordinates” (East [...] This week I took a closer look at my digital self by keystroke logging (which is terrifying) and scanning old gchats between myself and my boyfriend (booooring). It feels cheesy to want to do a project about my boyfriend, but looking back at our old communication methods and comparing them to the ones we use [...] I used Backtrack to track my keystrokes over the course of the week. I hadn’t used my computer for anything other than school-work so my words are all related to my projects.
Also, I have noticed how my language changes depending on who I am speaking with. I have some friends, [...] I was interested in seeing if music, and specifically rap music, had an effect on my everyday speech. If there were unique words that I used that came from my listening to hip-hop. The Black Album by Jay-z is one that i remember listening to a lot when it forst came out and still listen [...] When I discovered the Facebook activity log, my first idea was to try to scrape this data and analyze it. Since I signed up for Facebook in 2004, there should be over 8 years of likes, comments, searches, and other data to sift through. For those of you that haven’t looked at it, the activity [...] Yucefs-MacBook-Pro2:ITP-ROY yucefmerhi$ python wordfreq.py This program analyzes word frequency in a file and prints a report on the n most frequent words.File to analyze: emails Output analysis of how many words? 60 de 81 la 54 que 45 en [...] So this week we’re working on tracking and quantifying our digital selves and to help to accomplish that I turned to an application I had read about but hadn’t used much before this month called RescueTime. The program functions as a spy on your computer that monitors what websites you visit and how long you [...] I analyzed word frequency across emails. First, I downloaded all of my sent email as .eml files using a Python script that was created by Sean McIntyre. I then imported sets of the .eml files into processing. I had to limit the number of emails in order to not run out of memory. I have [...] This week, I had fun tracking a ton of activity from my input to my computer… key strokes, mouse clicks, application usage, etc. However, I didn’t feel that there was enough data to make anything terribly interesting, so I chose to run the Most Interesting Words of the Month program on my entire [...] This week I took a look at my history of emails with my mother. Taking 4 years of emails, I ran the files through processing to determine the words that appeared most often, attempting to filter out the less interesting words (the, and, is, etc). What I generated was a file that creates an ellipse [...]
The above in an analysis of my current thesis proposal. This summary is a requirement for all 2nd year students in their thesis process. From which a thumbs up or down is given to proceed. I thought this was an interesting body of text to analysis due to the thorough consideration of each [...] So this week I also tried out tracking my mouse x,y coordinates. I used two sketches MousetrackDraw (display x,y values from csv files) and TrackMouseInBackground (get x,y values). Instead of just tracking it over a day I used I used it on different sites- facebook and twitter. For the same set amount of time I [...] This week I installed logKext at the beginning of the week to track everything I type. After running some analysis on it I found that I wrote 10,580 words this last week. These were the top occurring words that I used: the 234 a 222 to 217 and 124 for 98 I 93 be 93 you 92 in 90 [...] |
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