Another type of malicious bot aims

To detect vulnerabilities. This type of robot goes through websites, testing each page against classic vulnerabilities. If it detects that the site is vulnerable, the bot communicates it to the hacker who controls it, and the criminal can act, invading and causing damage, such as interception of passwords and other data. There is also the bot used in phishing cases . This type of robot is capable of deceiving inattentive and unprotected users, making them view a fake website, visually identical to the original, as a way of trying to obtain data, which could be passwords, logins and even banking credentials. Bots in the dissemination of fake news researchers at indiana university, in the usa, published a study in which they evaluated 14 million messages shared on twitter focusing on the american presidential elections, between the months of may 2016 and may 2017.



The study found evidence that bots participated disproportionately in the dissemination of fake news, mainly as the initial disseminators, before the message went viral. According to the research, only 6% of all twitter accounts identified Jamaica Email List as bots were responsible for 31% of the total fake news published on that social network, reaching thousands of users in less than 10 seconds. Giovanni ciampaglia, one of the study's authors, explains that people tend to trust more messages that appear to have been forwarded by many people. Bots can spread messages quickly and make them appear popular, attracting the trust of humans who help share them, without verifying their authenticity. Corroborating these results, another study by researchers at mit (massachusetts institute of technology) demonstrated that false information spreads “further, faster, deeper and wider than the truth in all categories of information”.







The study also concluded that robots accelerate the distribution of true and false news, but that humans spread more false news than true news. The big problem, however, is the difficulty in fighting bots. With each new intervention that aims to make it difficult for a robot to automatically create a profile, its creators modify the tool and expand its capabilities to bypass new captcha mechanisms and other security instruments. Bot sentinel records trollbot activities bot sentinel is an advanced system that uses artificial intelligence to classify suspicious profiles on twitter. The idea is to detect trollbots, which are accounts controlled by humans whose purpose is to disseminate false or hateful messages that can go viral and artificially affect political discourse and users' perception of certain topics.