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In this task, you are given a text of many news articles seperated by special token "|||||". Your task is to summarize them.

Both good bots and bad bots can be found lurking online -- looking to either drive traffic or wreak havoc. 
  
 Bot vs. human Web traffic distribution. (Credit: Incapsula) 
  
 With much trepidation, I must report that there is a pretty good chance that half the visitors to this story will not be human. 
  
 According to a recent study by Incapsula, more than 61 percent of all Web traffic is now generated by bots, a 21 percent increase over 2012. 
  
 Much of this increase is due to "good bots," certified agents such as search engines and Web performance tools. These friendly bots saw their proportion of traffic increase from 20 percent to 31 percent. 
  
 Incapsula believes that the growth of good bot traffic comes from increased activity of existing bots, as well as new online services, like search engine optimization. 
  
 "For instance, we see newly established SEO oriented services that crawl a site at a rate of 30-50 daily visits or more," Incapsula wrote in a blog post. 
  
 But, along with the good comes the bad. That other 30 percent of bot traffic is from malicious bots, including scrapers, hacking tools, spammers, and impersonators. However, malicious bot traffic hasn't increased much over 2012 and spam bot activity has actually decreased from 2 percent to 0.5 percent. 
  
 Of the malicious bots, the "other impersonators" category has increased the most -- by 8 percent. According to Incapsula, this group of unclassified bots is in the higher-tier of bot hierarchy -- they have hostile intentions and are most likely why there's been a noted increase in cyberattacks over the last year. 
  
 "The common denominator for this group is that all of its members are trying to assume someone else's identity," Incapsula wrote. "For example, some of these bots use browser user-agents while others try to pass themselves as search engine bots or agents of other legitimate services. The goal is always the same -- to infiltrate their way through the website's security measures." 
  
 Here's to hoping the bot visitors that do come to this story are of the benign kind. ||||| I'm going to tell you how here, even though I think executing such a script is highly unethical, probably fraud, and something you should not do. I'm telling you about it here because people need to understand how jawdroppingly easy it really is. 
  
 So, the goal is mimicking humans. Which means that you can't just send 100,000 visits to the same page. That'd be very suspicious. 
  
 So you want to spread the traffic out over a bunch of target pages. But which ones? You don't want pages that no one ever visits. But you also don't want to send traffic to pages that people are paying close attention to, which tend to be the most recent ones. So, you want popular pages but not the most popular or recent pages. 
  
 Luckily, Google tends to index the popular, recentish stories more highly. And included with UBot are two little bots that can work in tandem. The first scrapes Google's suggestions searches. So it starts with the most popular A searches (Amazon, Apple, America's Cup) then the most popular B searches, etc. Another little bot scrapes the URLs from Google search results. 
  
 So the first step in the script would be to use the most popular search suggestions to find popularish stories on the domain (say, theatlantic.com) and save all those domains. 
  
 The first search would be "amazon site:theatlantic.com." The top 20 URLs, all of which would be Atlantic stories, would get copied into a file. Then the bot would search "apple site:theatlantic.com" and paste another 20 in. And so on and so forth until you've got 1,000. 
  
 Now, all you've got to do is have the bot visit each story, wait for the page to load, and go on to the next URL. Just for good measure, perhaps you'd have the browser "focus" on the ads on the page to increase the site's engagement metrics. 
  
 Loop your program 100 times and you're done. And you could do the same thing whenever you wanted to. 
  
 Of course, the bot described here would be very easy to catch. If anyone looked, you'd need to be fancier to evade detection. For example, when a browser connects to a website, it sends a little token that says, "This is who I am!" And it lists the browser and the operating system, etc. Mine, for example, is, "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_8_2) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/31.0.1650.63 Safari/537.36" 
  
 If we ran the script like this, an identical 100,000 user agents would show up in the site's logs, which might be suspicious. 
  
 But the user agent-website relationship is trust-based. Any browser can say, "I'm Chrome running on a Mac." And, in fact, there are pieces of software out there that will generate "realistic" user agent messages, which Ubot helpfully lets you plug in. 
  
 The hardest part would be obscuring that the IP addresses of the visits. Because if 100,000 visits came from a single computer, that would be a dead giveaway it was a bot. So, you could rent a botnet — a bunch of computers that have been hacked to do the bidding of (generally) bad people. |||||
Output:
If you're an Internet user with blood in your veins and air in your lungs, you're now part of a shrinking minority, according to startling new research. Some 61% of web traffic is now non-human, made up of a motley assortments of bots generated by search engines, scrapers, hackers, and spammers, an Incapsula study finds. That's up from 40% last year, though "good bots" like search engines made up much of the increase, CNET notes. But around half of the bots are malicious bots, Incapsula warns—and the fastest-growing category among them is impersonators trying to pass themselves off as legitimate bots to bypass security measures. Spambots, however, appear to be in decline. The bots are surprisingly easy to create, finds Alexis Madrigal at the Atlantic, who has no coding experience but was able to get the hang of it after a few hours of training on commercially available software. The ease of building traffic-boosting bots helps to lower ad rates, which leaves less money for content and "hurts what you read each and every day on the Internet," he writes.