Following many recent terror attacks, a common question that’s asked is whether tech companies are doing enough to fight terrorism online. To answer this question, Facebook decided to publish a blog post today that showed us how the company goes about fighting terrorism online. Facebook admits that while terrorism has no place on its platform and removes such content when it’s aware, it faces an enormous challenge in monitoring the posts of over 2 billion people in 80 languages.
So how does Facebook go about fighting terrorism on the platform used by so many people? The latest answer to that question is Artificial Intelligence. At the moment, many of accounts spreading terrorist content are identified by Facebook itself. However, the company has now started utilizing AI to identify and remove terrorist content. Many of these efforts are still in their early stages. As such, they are currently used to combat terrorist content about ISIS, Al Qaeda, and their affiliates. Over time Facebook hopes to expand these solutions after they mature to combat content posted by other terrorist organizations.
But what are these techniques? For starters, there’s image matching that involves identifying whether an image someone is uploading matches known terrorist photos or videos. Cross-platform collaboration across all of Facebook’s apps such as WhatsApp and Instagram is also being utilized. Additionally, Facebook has also begun experimenting with AI to translate text in different languages and understand it to identify whether it’s advocating terrorism. Furthermore, the company is also building algorithms to detect fake accounts used by terrorists and removing terrorist clusters such as pages, groups, posts or profiles.
Yet, despite these advanced AI technologies, the greatest asset that Facebook has in its fight against terrorism online, is people. This is because as Facebook describes, “AI can’t catch everything. Figuring out what supports terrorism and what does isn’t always straightforward, and algorithms are not yet as good as people when it comes to understanding this kind of context. A photo of an armed man waving an ISIS flag might be propaganda or recruiting material, but could be an image in a news story.”
Thus, the main weapon in Facebook’s fight to identify and stop terrorist content are the reports submitted by people that use it. Facebook has stated its community operations team works 24 hours a day and in multiple languages to verify these reports. Additionally, the company also has a dedicated team of over 150 counter-terrorism specialists. There’s also a global team on standby and ready to respond within minutes to requests from law enforcement organizations.
Similarly, Facebook has supported and joined other initiatives by governments and NGO’s to combat the spread of terrorist content online. The company is also working in partnership with Microsoft, Twitter, and YouTube to create a shared industry database to identify content produced by or in support of terrorist organizations.
So is Facebook doing enough to combat the spread of terrorist content online? Time and time again, we’ve seen exactly how ineffective its primary tool: the user reporting function can be. A Facebook page can spread terrorist propaganda or advocate racism or post unwarranted pictures of schoolgirls. Yet, unless a large number of people submit reports, Facebook is unlikely to take any action.
However, monitoring a platform utilized every day by nearly 2 billion people in over 80 languages is no easy task. It’s clear that Facebook is certainly trying to ensure that it’s platform is a safe one. And it’s likely that once its tools utilizing AI are mature, the task will be a lot easier. But until then, Facebook will be involved in a long tiring war to keep its platform safe.
Subscribe to our mailing list and get interesting stuff and updates to your email inbox.
thank you for subscribing 🙂
awww something went wrong 🙁
We respect your privacy and take protecting it seriously
What kicked off in 2011 as a friendly gaming event has now developed into a fully-fledged gaming tournament. With the goal of promoting team building, leadership, and planning, the Virtusa
What kicked off in 2011 as a friendly gaming event has now developed into a fully-fledged gaming tournament. With the goal of promoting team building, leadership, and planning, the Virtusa LAN Challenge 2018 is happening.
Semi-Finals of the internal tournament will take place on the 22nd and 23rd of January 2018 at Virtusa premises.
january 22 (Monday) - 23 (Tuesday)
Virtusa Pvt. Ltd. 752, Dr Danister De Silva Mawatha, Colombo 09
The main purpose of the workshop is to give students the ability to analyze and present data by using Azure Machine Learning, and to provide an introduction to the use
The main purpose of the workshop is to give students the ability to analyze and present data by using Azure Machine Learning, and to provide an introduction to the use of machine learning and big data.
Module 1: Introduction to Machine Learning
This module introduces machine learning and discussed how algorithms and languages are used.
· What is machine learning?
· Introduction to machine learning algorithms
· Introduction to machine learning languages
Module 2: Introduction to Azure Machine Learning
Describe the purpose of Azure Machine Learning, and list the main features of Azure Machine Learning Studio.
· Azure machine learning overview
· Introduction to Azure machine learning studio
· Developing and hosting Azure machine learning applications
Module 3: Managing Datasets
At the end of this module the student will be able to explore various types of data in Azure machine learning.
· Categorizing your data
· Importing data to Azure machine learning
· Exploring and transforming data in Azure machine learning
Module 4: Building Azure Machine Learning Models
This module describes how to use regression algorithms and neural networks with Azure machine learning.
· Azure machine learning workflows
· Using regression algorithms
· Using neural networks
Module 5: Using Azure Machine Learning Models
This module explores how to provide end users with Azure machine learning services, and how to share data generated from Azure machine learning models.
· Deploying and publishing models
· Consuming Experiments
Module 6: Using Cognitive Services
This module introduces the cognitive services APIs for text and image processing to create a recommendation application, and describes the use of neural networks with Azure machine learning.
· Cognitive services overview
· Processing language
· Processing images and video
· Recommending products
Feel free to contact us for any inquiries
uditha bandara – 0716092918
All Day (Wednesday)
ANC education ,310 R A De Mel Mw, Colombo 03 00300
Blue Chip Training0716092918
Startup Weekend is a global phenomenon - 54 hours of fast and furious prototype development through to exploring potential markets and pitching. It’s an unparalleled opportunity to build lasting relationships
Startup Weekend is a global phenomenon – 54 hours of fast and furious prototype development through to exploring potential markets and pitching. It’s an unparalleled opportunity to build lasting relationships with co-founders; mentors, and investors.
The real value comes from taking an idea from concept through to execution using Lean tactics and working under high pressure with the best startups.
26 (Friday) 5:00 pm - 28 (Sunday) 8:00 pm
Oak Ray Regency Kandy
Oak Ray Regency Kandy, No 9, Devani Rajasinghe Mawatha,, 20000 Kandy