Seed text can be given for comments, and the delay time between posts can be specified. This software might involve pasting the link to the channel or video in question and then checking boxes to determine if you want the bots to like, comment, or subscribe. Ironically, there are also YouTube videos showing step-by-step tutorials on how to get sub bots up and running. Some sites offer free plans to get users started, while plans with more features can start as low as $10–$15 for 10 subscribers or 600 views per day. Setting up a botting service can be as simple as subscribing to a website which handles the bots automatically, with essentially zero effort on your end.

In extreme cases, it might even mean making it to the front page. Many viewers are inherently drawn to famous channels or popular videos, while YouTube’s suggestion and ranking algorithms also pick up on popular content.

The idea is that popularity begets popularity. Sub bots artificially inflate a channel’s number of subscribers or a video’s number of views, likes, and comments. But when it comes to millions of fake YouTube views, subscriber bots take the role of those companions too far. We speculate that even though YouTube’s policy puts in lots of effort to compensate users after an attack is discovered, this practice places the burden of the risk on the advertisers, who pay to get their ads displayed.Many of us have Siri, Alexa, or our Google Assistant handle our daily questions, comments, and concerns. “In practice, this means that views identified as fake and discounted from the public view counter are still monetised. “Furthermore, we find that YouTube penalises its users’ public and monetised view counters differently, with the former being more aggressive,” it states. It adds that while YouTube’s system for detecting fake views significantly outperforms others, it may still be susceptible to simple attacks. The researchers’ paper says that while substantial effort has been devoted to understanding fraudulent activity in traditional online advertising such as search and banner ads, more recent forms such as video ads have received little attention. The vast majority of invalid traffic is filtered from our systems before advertisers are ever charged.” The company added: “We take invalid traffic very seriously and have invested significantly in the technology and team that keep this out of our systems. Google was reported to have said that it was contacting the researchers – from NEC Labs Europe, Charles III University of Madrid, the IMDEA Networks Institute and the Polytechnic University of Turin – to discuss their findings further. However, Google’s AdWords advertising platform charged for 91 views, according to the study. While the bots “viewed” two of the videos 150 times, YouTube’s public view counter only listed 25 of the views after apparently correctly identifying the rest as fake.

Bot for youtube views