|a OCLC offline update by SD51 and loaded with m2btab.b in 2019. One of the few that enjoys mummification as much as me.
Just being her emotional support fox and givin her calming nuzzles. |a Kerschl, Karl, |0 |e author, |e artist. |a Supernatural |v Comic books, strips, etc. |a Preparatory schools |0 |v Comic books, strips, etc. |a COMICS & GRAPHIC NOVELS / Superheroes.
SILVERLOCK TWITTER FREE
As Amity leads Olive on a mission of fire and vengeance, the rest of Detective Club scrambles to find a way to free their friend."- |c Provided by publisher. |a "Olive Silverlock is possessed by the spirit of her ancestor, Amity Arkham, a ghoulish entity who wants to burn Gotham City to the ground. |t Carnival midnight / |r Brenden Fletcher, writer Jon Lam, artist - |t Ballad of Oliver Silverlock, part one / |r Brenden Fletcher, script Adam Archer & Msassyk, pencils - |t Ballad of Oliver Silverlock, part two / |r Brenden Fletcher, script Adam Archer, pencils Msassyk, backgrounds paints & colors - |t Ballad of Oliver Silverlock, part three / |r Brenden Fletcher, script Adam Archer, pencils Msassyk, backgrounds paints & colors - |t Ballad of Oliver Silverlock, finale / |r Brenden Fletcher, script Adam Archer, pencils Msassyk, backgrounds painter & colors. |a "Originally published in single magazine form in GOTHAM ACADEMY: SECOND SEMESTER 4, 9-12"-Title page verso. |a 1 volume (unpaged) : |b chiefly color illustrations |c 26 cm. |a The ballad of Olive Silverlock / |c written by Brenden Fletcher, Becky Cloonan, Karl Kerschl pencils by Adam Archer inks by Sandra Hope background painting and color by Msassyk breakdowns by Rob Haynes 'The Carnival Midnight' art by Jon Lam letters by Steve Wands collection cover art by Karl Kerschl. If you have any questions about the dataset itself, you should open an issue on FiveThirtyEight’s GitHub repository.|a DLC |b eng |e rda |c DLC |d JSE |d VHP |d GK8 |d OCLCF |d CHILD |d CDS |d TOH |d DLC |d OCL |d UKMGB |d TXENN |d OCLCO |d TM3 |d LKC |d OCLCO |d ROZ There’s a lot of data to explore here, but it’s also worth keeping in mind that three (3) million tweets is only a small fraction of tweets associated with this kind of content, and this kind of bounded data collection may have some subjectivity to it. Liverpool legend invited the team, friends and family to. #QAnon #FOLLOWTHEWHITERABBIT 🠇 Bravo Mr President!!’ Firmino: What a farewell What a team Captain Henderson intones Si Seor for Firmino. #2018PredictionsIn5Words Pro-Trump landslide Also be mindful of any links you follow here: I have not vetted them.
Also note that I’ve truncated the output here, for brevity. 2: The Ballad of Olive Silverlock: 9781401274740: Fletcher, Brenden, Cloonan, Becky, Kerschl, Karl, Archer. I’ll leave analyzing these tweets as an exercise to the reader, but they certainly appear to prey on the hot button issues in a few places. Which tweets were the most amplified (likes, retweets) by language? SELECT language, content, updates FROM ( SELECT language, content, updates, RANK () OVER ( PARTITION BY language ORDER BY updates DESC ) AS tweet_rank FROM `silverlock-bigquery.public_datasets.fivethirtyeight_troll_tweets` GROUP BY language, updates, content ) troll_tweets WHERE tweet_rank = 1 GROUP BY language, content, updates ORDER BY updates DESC LIMIT 10 Which tweets were the most amplified in each language?.Was there a specific account with a non-negligible fraction of tweets?.OK, let’s take a quick look at the data to get you thinking about it. We don’t get details on the followers themselves however, which makes it hard to know how impactful the reach was: is it trolls/bots followed by other trolls, or members of the general Twitter populace? Analyzing It So with the data above, what can we do? We can look at how these tweets were amplified (updates), what language the tweet was posted in (what audience was it for?), and the direct audience of the account (followers). From there, you can inspect the table russian_troll_tweets, look at the schema (also pasted below), and see a preview of the data. You’ll see the fivethirtyeight_russian_troll_tweets table appear on the left-hand-side, in the Resource tab. We’re going to use the BigQuery web UI, so navigate to the BigQuery interface and select the project you want to access it from. # standardSQL SELECT author, COUNT ( * ) AS tweets, followers FROM `silverlock-bigquery.public_datasets.fivethirtyeight_troll_tweets` GROUP BY author, followers ORDER BY tweets DESC, followers DESCįor everyone else: read on.
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