The Rise of AI against Terrorism, Troll and Extremist Contents Online



The Internet has become a haven to nefarious groups, who discretely use the online platforms, like the Islamic State (ISIL) using popular Internet services such as YouTube, Twitter and Facebook to spread propaganda, attract and train new recruits, celebrate attacks and publicize executions.

In the wake of the recent London terror bombings, the leading Internet companies have been urged to be more proactive in the fight against terrorism.

With Facebook commanding about 2 billion users worldwide, having such massive content will inevitably include violent images and extremist rhetoric. Facebook has made its black box a bit less opaque outlining the tools it will use to free itself from radical ideas, goals, or elements.

As the amount of time it would take for a human to sift through all these stuff is not feasible, AI is perhaps the main tool that Facebook will be using to ferret out extremism.

Albeit, it already deployed such tools against copyright infringement and child pornography, Facebook has until now been silent on its use of AI to fight extremism.

Facebook, however isn't alone here — it's working with other social media platforms and Internet companies to tackle the problem, using shared technology that stamps-out extremist images and videos.

Google been the heartbeat of the Internet, knows exactly where it pinches - the company has outlined strategy for combating extremist contents. It will expand its use of machine learning to identify extremist and terrorist videos. This has been a challenge for Google, though as videos of terrorism posted by a news source can be informative, while similar clips posted by a terror group can be used to glorify the attacks.

It plans to put in more research so it can train AI to quickly be able to identify and remove extremist contents.

Google, however maintains that the machines need help from humans to determine what does and does not fall within the guidelines. So, it will also increase the number of people in YouTube’s “Trusted Flagger” program.
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