While the attention of bots is programmed to spread unverified information throughout the social media platform, it is a challenge that programmers face in the wake of a hostile political climate.

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According to Emilio Ferrara, reporter of Communications of the ACM, the lack of resources available to implement fact-checking and information verification results in the large volumes of false reports and claims made on these bots in social media platforms.

In the case of Twitter, most of these bots are programmed with searching filter capabilities that target key words and phrases that reflect in favor and against political agendas and retweet them.

More than half of all web traffic is made up of bots.

file: this file is simply text stating the rules governing a bot's behaviour on that server.

As a result, natural language processing has become an influencing factor to the development of artificial intelligence and social bots as innovative technological advancements are made alongside the progression of the mass spreading of information and thought on social media websites.

Reports of political interferences in recent elections have set the notion of botting being more prevalent because of the ethics that is challenged between the bot’s design and the bot’s designer.

Any bot interacting with (or 'spidering') any server that does not follow these rules should, in theory, be denied access to, or removed from, the affected website.

If the only rule implementation by a server is a posted text file with no associated program/software/app, then adhering to those rules is entirely voluntary – in reality there is no way to enforce those rules, or even to ensure that a bot's creator or implementer acknowledges, or even reads, the file contents. search engine spiders – while others can be used to launch malicious and harsh attacks, most notably, in political campaigns.

An additional role of IRC bots may be to lurk in the background of a conversation channel, commenting on certain phrases uttered by the participants (based on pattern matching).

This is sometimes used as a help service for new users, or for censorship of profanity.

In exploring these areas, our objective remains to start a dialogue about how our existing legal frameworks might need to adapt and change to meet the demands of the robotics age.