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Russian Roulette

  by Michael Isikoff & David Corn

(about 405 pages)
total words
of all the books in our library
of all the books in our library
passive voice
of all the books in our library
all adverbs
of all the books in our library
of all the books in our library
of all the books in our library

clippings from this book

We’ve analyzed hundreds of millions of words, from thousands of different authors, training our linguistic models to recognize the most vivid words in the English language… the words that create the most intense sensory experiences: colors, textures, sounds, flavors, and aromas.

Based on our analysis, we’ve scanned through the pages of this book to find the two pages at the extremes, both the most-passive and the most-vivid pages, so that you can compare them side-by-side and see the difference:

Something had to be going on. But Alexandra Chalupa, the DNC consultant tracking Manafort, had no doubt what was happening: The DNC had been breached. “It was the Russians,” she told her colleagues. In the weeks since CrowdStrike had detected the break-in—and confirmed that the FBI warnings had been accurate—the cybersecurity firm had been working feverishly to expel the intruders and secure the DNC’s system, without tipping off the hackers. DNC officials wanted to be sure that no mention of Reynolds’ directive would go through a DNC email, because that might alert the Russians. The job was being completed this weekend. The DNC also had brought in outside consultants to plot a PR strategy for handling the news of the hack. They had decided it would be best to go public, rather than have the story leak out. And it didn’t hurt that the story would advance a narrative that benefited the Clinton campaign and the Democrats: The Russians were interfering in the U.S. election, presumably to assist Trump. Going public about the breach was a dicey move. CrowdStrike’s experts had determined that the Russians encrypted files before swiping them from the DNC’s computers. They could tell the hackers had targeted the DNC’s opposition research folders, but no one at CrowdStrike or the DNC was quite sure what else the hackers had pilfered. And there was the question: What would the Russian intruders do with the DNC files? Were they only spying on the DNC, or would show up at the Graham event: “There is something I’m planning down the road, and it’s really important.” Goldstone knew exactly what Trump was talking about: a run for the White House. Franklin Graham, the evangelist’s son, was an influential figure among religious conservatives. When Trump two years earlier was championing birtherism—the baseless conspiracy theory that Barack Obama had been born in Kenya and was ineligible to be president—Graham joined the birther bandwagon, raising questions about the president’s birth certificate. Appearing at this event and currying favor with Franklin Graham was a mandatory stop for Trump, if he were serious about seeking the Republican presidential nomination. Before the Miss Universe broadcast, there was the obligatory red-carpet event. Camera crews from around the world recorded the strutting celebrities. A triumphant-looking Trump posed with Aras and Emin Agalarov for the paparazzi. Trump dodged a question about whether Emin had been booked to perform based on merit. “Russia has just been an amazing place,” Trump exclaimed. “You see what’s happening here. It’s incredible.” Behind him was a banner featuring the logos of the Trump Organization, Miss Universe, Sberbank, Mercedes, and NBC. The NBC peacock was in black and white, without its usual rainbow of colors. Officials at Agalarov’s company had ordered Miss Universe staffers to eschew the rainbow, fearing it would be seen as a gay pride message. Thomas Roberts walked the red carpet with his husband. He wore a bright pink tuxedo jacket—something he would never do back home

emotional story arc

Click anywhere on the chart to see the most significant emotional words — both positive & negative — from the corresponding section of the text…
This chart visualizes the the shifting emotional balance for the arc of this story, based on the emotional strength of the words in the prose, using techniques pioneered by the UVM Computational Story Lab. To create this story arc, we divided the complete manuscript text into 50 equal-sized chunks, each with 2022.88 words, and then we scored each section by counting the number of strongly-emotional words, both positive and negative. The bars in the chart move downward whenever there’s conflict and sadness, and they move upward when conflicts are resolved, or when the characters are happy and content. The size of each bar represents the positive or negative word-count of that section.

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