September (beginning on 9/17/21)
Week 1 (9/17-9/19):
Collected text, comments, echoes, upvotes, and notes on Andy Biggs' Parler posts. Amounted to 91 posts in total.
Week 2 (9/20-9/26):
Amassed Twitter handles of our set of Congress members. Totaled 108 people, but I was informed that I should do ALL of Congress
Collected followers of our Parler users in the HOR, crosschecked relevant figures. I was assigned 25 people, which totaled 271 entries.
Week 3 (9/27-10/3):
Amassed the remaining Twitter handles of all Congress members. 436 were added, totaling 544 people.
Collected followers of another set of Parler users in the HOR. Another 25 people were researched, totaling 245 entries.
Reformatted Twitter list into those who had Parler accounts vs. not. Split list into sections of 20 for metadata collection.
This month's work has totaled to approximately 20 hours.
October (beginning on 10/4/21)
Week 4 (10/4-10/10)
Manually collected Tweet and Follower info from generated spreadsheets for 40 people (out of 580).
Got tired of manually collecting the information above (with 500+ remaining). Wrote a script to automatically collect this from the spreadsheets automatically, effectively immediately doing all remaining entries and unburdening everyone else who was assigned to this task.
Week 5 (10/11-10/17):
Did not meet with the group this week. I was assigned to find followers, following, number of posts, and number of polarizing posts for 8 Pundits, as well as collect screenshots of these posts and add them to a spreadsheet, and entering the post's text, comments, echoes, upvotes, links, and topic categories. There were just over 400 posts to analyze in this process.
Week 6 (10/18-10/24):
Categorized an additional 400 posts from House members.
Collected screenshots of parleys from Dan Bongino, Laura Loomer, and Laura Ingragam within a 1-month span. Determined which posts were 'polarized', and linked screenshots to the Polarizing Post Pundits sheet, categorized them, and added any links that these posts contained.
Week 7 (10/25-10/31):
400 topics were left blank on the Pundits Polarizing Posts sheet, and they were split evenly between Esma and I to fill.
This month's work has totaled to approximately 40 hours.
November (beginning on 11/1/21)
Week 8 (11/1-11/7):
Reviewed every screenshot of every single parley by every House/Congress member and Pundit to tally the websites linked on each, as the majority of entries which did have a link were not properly denoted as such in the "website" column (R). There are 1,532 posts in total. This is entered into the spreadsheet shown below.
Used the data collected in this sheet to make a number of statistics, including the proportion of posts within each category out of total posts in any category, and a graph which displays these different makeups (The two with blue bars). In retrospect, these don't really convey any meaningful information.
Added two new categories, which were the Politicians and Pundits respectively, only including websites which overlap significantly between the two groups. These are the tables and red/yellow graphs on the far right.
Week 9 (11/8-11/14):
Added a radicality 'scoring' system based on the bias ranking of https://mediabiasfactcheck.com/, as suggested by Golshan. The scores range from -4 (Extreme Left) to +4 (Extreme Right), and the occurrences could now be shown from left to right to show a trend in radicality between the two groups (Pundits trended farther right).
Added two new sets of data below, which are all significant sites amongst the two groups with five or more pings, and applied the radicality score to them to create a new graph (and trendline to add). The data showed that Pundits were approximately twice as radical, based on our scale, with Politicians scoring 1.2 on average and Pundits scoring an average of 2.7. The graph shows that same trend.
Picked out 10 of the most polarizing posts for the Case Study section of our final document. Wrote an introductory paragraph for the section as well.
Week 10 (11/15-11/21):
Revised the Case Study section down to 7 screenshots, with one for each of our post topic categories. Added another paragraph to round out the section.
Made various changes to the graphs according to other members' feedback.
This concludes my participation in this research project, as it has been submitted to the ACM Panel. This month was another approximate 40 hours.
Cheers.