Ask holly chatbot


12-Jun-2017 21:47

In concert, these trends were picked up by HFTs and other automated trading bots that sent the stock price soaring (Farooq, Khan and Khalid, 2014).Similarly, on April 23, 2013, the Syrian Electronic Army hacked the Twitter account of the Associated Press (AP) and posted a tweet claiming that the White House had been subject to a terror attack and President Obama injured.Automated, high-frequency trading (HFT) algorithms trade stock extremely quickly and were becoming more popular as real-time data became increasingly prevalent and the cost of zero-latency systems dropped.The faster the algorithm could trade on near-realtime information, the earlier it could make money on the data it had received.The rise of ‘social bots’ has reached a tipping point in 2016, with four of the largest technology behemoths, Microsoft, Amazon, Google and Facebook, putting their commercial and technological weight behind bot technology and announcing commercial products.This has been precipitated by the explosion of social media and has given these technologies an incredibly rich ground within which to learn, cause mischief and interact with their human users.While they were an exciting innovation within financial markets, their uncontrolled and automated nature quickly came under scrutiny.On May 6, 2010, the Dow Jones plunged over 9% within minutes, wiping over a trillion dollars from the market, its largest single day flash crash in history.

An orchestrated bot campaign on Twitter was designed to mention Cynk extensively, these tweets became self-reinforcing as other bots noticed the trend and started to retweet their content, further lending credence to the stock they were discussing.While many detractors were concerned about the newly-malleable nature of the trespass to chattels tort and the potential to stifle free speech (Quilter, 2002 and Fritsch, 2004), other technological advances such as web-based Application Programming Interfaces (API) allowed sites to interoperate and aggregate content in mutually beneficial manner and reduced subsequent lawsuits of this nature.Other early automated bots were utilised in the financial markets.Algorithmic chatbots such as ELIZA evolved over time, with similar programs such as Parry, A. However, even these seemingly innocuous technologies created significant legal issues in their early years.

Companies objected to third party crawlers aggregating and indexing their content. test cases used a legal doctrine dating to the Middle Ages known as ‘trespass to chattels’, originally conceived to protect physical property, to assert that bots that ignored ‘no trespass’ signs[2] were in violation of the law.

These bots are design to make millions of calculations to make small profits that in aggregate add up to phenomenal sums of money.



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