Trending #fakenews #clickbait article: “More than 150 structures destroyed, 27,000 people evacuated in raging Ventura wildfire”
With over 75570 Facebook engagements counted on Wed, 06 Dec 2017 13:11:49 GMT, the article titled “ More than 150 structures destroyed, 27,000 people evacuated in raging Ventura wildfire ” (publish date Tue, 05 Dec 2017 15:17:19 GMT) on the blog latimes.com is currently trending on Facebook.
The post has a 80% chance of being clickbait and a Content Quality score of 51% .
A summary of this trending article:
“He is at the hospital being evaluated, said Ventura County Fire Capt. “The prospects for containment are not good,” Ventura County Fire Chief Mark Lorenzen said at a news conference. Nearby, Mike Medina stood by Say and Roger roads, watching the flames slowly making their way down the canyon through a gap of tree branches and snapping a photo. The blaze started about 6:25 p.m. Monday in the foothills near Thomas Aquinas College in Santa Paula, a popular hiking destination, and grew wildly to more than 15 square miles in the hours that followed — consuming vegetation that hasn’t burned in decades, Ventura County Fire Sgt. “We’re really just trying to catch it around the edges and just pinch it off as quickly as we possibly can,” said Ventura County Firefighter Jason Hodge, adding that crews are dealing with 25 to 50 mph winds. Santa Paula resident Fabian Mauricio, 31, was playing basketball in Los Angeles when friends began texting him about a fire in his neighborhood. (Thomas Lauder / Los Angeles Times) Since shortly before 7 p.m. Monday, firefighters were in place to protect homes along Highway 150 just north of Santa Paula, said Ventura County Fire Capt. Ventura County Fire staffed an extra 100 or so firefighters in anticipation of strong winds that triggered a red-flag warning in Los Angeles and Ventura counties.”
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More details from the Content Quality Report :
We found this article’s author (JR Elliott).
This article’s publisher has been verified. Type: ‘blog’.
This article has good (96.50%) context setting (who/when/where).
This article has an overall Very Negative sentiment (subjective).
This article has a 80% chance of being clickbait.
This article’s TrustLevel is calculated using the metrics above.
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