There are many forms of resistance through the ages, and it is proven that it seeks to make its voice heard to the world. Conflicts rarely ended through an individual decision or a conviction of the need to stop violations, but in the era of communication sites, it becomes more difficult to reach the voice of the resistance by entering algorithms and artificial intelligence on the line to become the editor-in-chief who decides Publication prohibited.
Vietnam .. I killed the general with my lens بعد
Fifty years ago, the head of the National Police in South Vietnam, General Nguyen Ngoc, in the middle of the street in Saigon (the capital of the south at the time) - which is now known as "Ho Chi Minh" - fired a bullet in the head of Nguyen Van Lim, who was a member of the "Viet Cong". He wasn't wearing a uniform to be shot dead carelessly.
A few meters away was Eddie Adams, an Associated Press photographer, who captured this cruel historical moment in a timeless image that did so much and changed public opinion toward the war in Vietnam.
The "Viet Cong" is the National Front for the Liberation of South Vietnam, a Vietnamese armed resistance movement that operated between 1954 and 1976 against the government and US intervention in the country.
However, decisions to display this and other images of the Vietnam War were up for debate in the newsroom of The New York Times, with influential photo editor John Grace Morris who died last year at the age of 100, said John Grace Morris, who died last year at the age of 100. Which I wanted to be on the first page.
Photographer Adams himself said before his death in 2004, "Two people in the picture died from the bullet, and whoever put it in the man's head, I killed the general with my lens," he wrote in TIME magazine.
Adams saw that two people in the picture died from receiving the bullet and who threw it in the man's head, "I killed the general with my lens" (social networking sites)
Palestine.. the watermelon is the symbol of the owners of the land
The Palestinian cause is older than the Vietnam War, and the Palestinian resistance has faced, since its inception until today, greater challenges than the Vietnamese resistance, and perhaps what it faces today in front of the algorithms of social networking sites, machine language techniques and artificial intelligence is one of the biggest challenges it has faced to communicate its cause to the world.
For decades, the red watermelon has been considered one of the icons of the Palestinian struggle against the occupation due to the similarity of its colors with the colors of the Palestinian flag, and it has returned to the fore during the last period in light of attempts to evade censorship on social networking sites.
In a report published by The Washington Post, writer Miriam Berger says that the watermelon emoji has been widely used in recent weeks on social media platforms as part of Palestinian efforts to circumvent censorship and content modification algorithms, in the midst of what East Jerusalem witnessed. And Gaza from the events of last May.
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A post shared by Khaled Hourani (@khaledhourani6)
According to the author, the use of watermelon emojis and various images and artworks from Palestinians in Israel, the occupied territories and the diaspora and their supporters around the world reflects an outpouring of activism and online solidarity outside the traditional political and geographic boundaries of the Palestinian-Israeli conflict.
In this context, Palestinian artist Khaled Hourani, who resides in Ramallah in the West Bank, and whose works have appeared among the pictures of watermelons circulating on the Internet, explains that art "can take on a political character more than politics per se."
According to Hourani, Palestinian artists used the watermelon "as a symbol of the Palestinian flag to circumvent the ban" in the cyber world, where Palestinians - who do not trust social media platforms and fear Israeli electronic censorship - are trying to circumvent content modification algorithms and methods.
During the recent crisis, Facebook and Twitter deleted millions of posts and hashtags supporting the Palestinian cause, but the two tech giants asserted that this was due to a technical glitch, angering Palestinians who have long felt that they are being treated unfairly in the cyber world.
"For the new Palestinian generation - 70% of whom are under the age of 30 - social networking sites are the main source of inspiration and access to the world," says Fadi Goran, who is a campaign manager for Avaaz and resides in Ramallah.
"Palestinians need to use social media to expose what is happening to them in the occupied Palestinian territories, and this is what prompted them to devise a wide range of tactics to overcome the digital oppression they are subjected to," he added.
But do these tricks fool an automated publishing manager that uses algorithms and deep learning and has no place for feelings.
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Automatic censorship does not know the watermelon
The most important component of the algorithms used by social networking sites are deep neural networks for their ability to process visual information, and in the past few years they have become a major component of many visual computer applications. Among the main problems that neural networks can solve is the detection of objects (objects) in images. and determine its location.
A convolutional neural network is one of the main components of most of the visual computer applications based on deep learning. Invented in the 1980s by deep learning pioneer Yan Likon, these networks are a type of neural network that is efficient at capturing patterns in multidimensional spaces, and this makes them incredibly good. Special to see what the pictures contain.
But while the Image Classification Network can tell whether or not an image contains a certain object, it cannot locate the object in the image.
The Image Classification Network can tell whether an image contains a certain object or not, but it will not be able to locate the object in the image (social networking sites)
That is why object detection is one of the problems of machine learning techniques that need human supervision, which means that you must train your models on categorized examples, and each image of them must be arranged in a data set and accompanied by a file that includes the boundaries and classes of the objects it contains, and there are many Open source annotation tools to detect objects in images.
The object discovery network is trained on annotated data so that it can find regions in the images that correspond to each type of object.
Because of this problem, AI researchers at the University of California-Berkeley proposed in 2014 a region-based convolutional neural network (R-CNN), which identifies an object and its position in an image based on extensive processing of several layers of information.
In the past few years, deep learning has come a long way to discover what an image contains, as it has evolved from a mixture of different components into a single, efficient neural network.
Today, many applications use object detection networks as one of their main components, but this technology lags behind when it comes to the symbols behind it. In its current state, it cannot analyze the context and can only find a “watermelon” but it cannot tell if it is talking about the symbol. The mother of the fruit, for this you need human supervision so far.
Managing Editor's Ethics.. Between The New York Times and Facebook
There is no doubt that the picture published by the New York Times in the seventies of the last century about the Vietnam War, if it were in our time, the Facebook algorithms might have stopped it from reaching the world, and the war might have continued for several more years. Our lives will become easier and better, and we must not delude ourselves that the power of artificial intelligence can defeat man as long as his cause is just.