"Bots Might Prove Harder to Detect in 2020 Elections"

A new study conducted by a team of researchers shows that bots are getting better at copying human behaviors, which makes it harder for them to be detected. The researchers examined 250,000 social media users who took part in discussions surrounding the 2016 and 2018 U.S. elections, and detected more than 30,000 bots. Despite the efforts of social media companies to mitigate automated accounts, these bots have continued to evolve. The behavior of these bots continues to change in order to mimic the ways in which humans engage with each other in the discussion of a topic on social media. Findings of the study further highlights the continuous battle between bots and detection algorithms, and the importance of increasing efforts to improve bot detection methods. This article continues to discuss the performance and findings of the study on the evolution and detection of artificial intelligence-enabled social media bots. 

EurekAlert! reports "Bots Might Prove Harder to Detect in 2020 Elections"