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twitter – Earthtech https://1earthtech.com Fri, 28 Aug 2020 17:00:47 +0000 en-US hourly 1 https://wordpress.org/?v=7.0.5 146148357 Social Media and managing content! https://1earthtech.com/social-media-moderation-content/ https://1earthtech.com/social-media-moderation-content/#respond Wed, 22 Jan 2020 21:51:46 +0000 https://1earthtech.com/?p=781

This article offers a critical view of how content available on the internet quintessentially shapes public opinions and provides an unique challenge to governments around the world.

Introduction

The Social media today has a very different impact potential than it used to 10 years ago. Today the social media is capable of influencing country-wide elections, swaying public opinions, making or breaking brands and people associated with those names, and raising or flat-lining issues. The power wielded by content is truly mind-boggling when one considers that more than 56% of world’s population is online one way or the other. With growing penetration of smartphones and increase in bandwidth accompanied with decrease in data charges, content sharing is becoming ubiquitous and as easy as texting or talking.

 

Governments, regulators and public experts around the world have expressed concern amidst growing need to monitor content which is distributed largely freely today. Who controls what can be seen publicly has been a matter of much debate which is far from settled, however almost everyone involved favors some level of control on viewership of the media content posted online, or in other words, policing the internet. Most through recognize this policing as not a negative or an impediment, rather as a virtue or a social responsibility. Given the power, both direct and indirect, that content platforms usually possess, online available content has become the new hidden weapon on both sides of the debate.

 

The best way to prevent undesirable content from being seen is to never let it be uploaded in the first place. If content publishing platforms like Facebook, YouTube and several hundred others out there are required to screen every single video or post uploaded on their platform, it would simply lose out on millions of subscribers who want to upload their content immediately. If the platforms employ AI powered algorithms to pull down videos, then it must expect errors and content being pulled down or demoted needlessly.

 

Image Credit: Internet

Is Social media uncontrollable?

YouTube works in 80 different languages, is free at the entry level, is available almost everywhere, is extremely popular in the 18 – 24 year age group around the world, even in countries like P.R. China which have their own version of YouTube, and is increasingly being used to ‘monetize’ content like never before. With such mass viewership, Cisco predicts that videos will make up more than 80% of global internet traffic by 2022. YouTube, the world’s foremost content sharing site, has close to 2 billion logged-in users each month (one doesn’t need to be a logged in user to just view videos). Given its low entry barrier, almost everyone with an internet connection has used YouTube at some time.

 

Social media platforms, especially where content is freely distributed, or nearly freely distributed, have had an unfettered run over the past decade leading to their massive popularity today.

 

“We’re just a platform” is almost an extremely convenient way to avoid taking full responsibility for an increasingly serious set of problems. Yet this is exactly the approach that majority of platforms have adapted when it came to own up the responsibility of content moderation and review.

 

Few years back, Steve Stephens recorded himself murdering an innocent victim and then uploaded the footage to Facebook. The horrific act put Facebook under immense pressure to do something. This incident is not alone as there have been may documented cases of teens posting suicides on the internet.

 

Recently, the ghastly attack on the two churches in Christchurch, New Zealand killing more than 50 people was streamed live on Facebook for the world to see. Millions of people watched in disbelief while the lone gunman went on a rampage gunning down unarmed civilians. The video was streamed for several minutes while YouTube Moderators fought back hard taking down the video as newer versions kept popping up seemingly beating the controls that YouTube has in place to immediately flag already removed material. The up-loaders were able to sneak past by using a loophole – exact re-uploads of the video are banned by YouTube, however videos that contain clips of the original footage must be sent to human moderators for review, thereby delaying the process. And again this loophole existed for a purely legitimate reason – to ensure that news videos that use a portion of the video for their segments aren’t removed in the process.

 

For all live streaming and news events, especially ‘Breaking News’, YouTube’s safety team prefers not to use the system for immediately removing child pornography and terrorism-related content, by fingerprinting the footage using a hash system, and rather depends on a system similar to its copyright tool, Content ID, but not exactly the same. The system takes the much longer route – it first searches re-uploaded versions of the original video for similar metadata and imagery. If it’s an unedited re-upload, it’s removed. If it’s edited, the tool flags it to a team of human moderators, both full-time employees at YouTube and contractors, who determine if the video violates the company’s policies. YouTube considers the removal of newsworthy videos to be just as harmful. YouTube prohibits footage that’s meant to “shock or disgust viewers,” which can include the aftermath of an attack. If it’s used for news purposes, however, YouTube says the footage is allowed but may be age-restricted to protect younger viewers, reports The Verge.

 

Image Source: Internet

 

Rasty Turek, CEO of Pex, a video analytics platform that is also working on a tool to identify re-uploaded or stolen content, told The Verge that the issue is how the product is implemented. Turek, who closely studies YouTube’s Content ID software, points to the fact that it takes 30 seconds for the software to even register whether something is re-uploaded before being handed off for manual review. YouTube’s Content ID tool takes “a couple of minutes, or sometimes even hours, to register the content,” Turek said. That’s normally not a problem for copyright issues, but it poses real problems when applied to urgent situations. A YouTube spokesperson could not tell The Verge if that number was accurate.

 

Further, Turek contends, There is no harm to a society when copyrighted things or leaks aren’t taken down immediately. There is harm to a society here though when live-streaming and breaking news puts harmful content out there. This is precisely the reason why live-streaming is considered a high-risk area by Facebook and YouTube and nearly every other platform that provides live-streaming. People need to have different credentials for live-streaming and people violating rules related to live-streaming, who are sometimes caught using Content ID once the live stream is over, lose their streaming privileges because it’s an area that YouTube can’t police as thoroughly. The teams at YouTube are working on it, according to the company, but it’s one the safety team acknowledges is very difficult. Turek agrees.

 

In another incident, Facebook admitted last November that it did not do enough to prevent its platform from being used to “foment division and incite offline violence” in Myanmar against the Muslim Rohingya minority. That came after the United Nations described the events surrounding the mass exodus of more than 700,000 Rohingya people from Myanmar as a “textbook example of ethnic cleansing.”

 

These incidents are not limited to YouTube and Facebook. In China, Bytedance chief executive Zhang Yiming had to issue a public apology in April 2018 after the company was ordered by the central government to close its popular Neihan Duanzi app for “vulgar content”. The company’s Jinri Toutiao news aggregation app was also ordered to be taken down from various app stores for three weeks. Bytedance pledged to expand its content vetting team from 6,000 to 10,000 staff, and permanently ban creators whose content was “against community values”.

 

Image Credit: Internet

Addressing the elephant in the room!

YouTube reportedly employees more than 10,000 people on it’s content moderation and rule enforcement team which represents a 25 percent increase from just about a year ago. according to YouTube took this decision after a number of controversies surfaced over recent past concerning children’s safety on the platform—for those who watch the content as well as those who appear in videos. Yet as other platforms have also struggled with the delicate task of protecting viewers while also ensuring free speech, the big question next year for YouTube is whether this will work.

 

Similarly, Facebook employees close to 15,000 people while Twitter employees close to 2,500 people to moderate the content on its platforms.

 

Relying purely upon humans to act as content moderators and reviewers is not the most viable option. Further the process of reviewing user-reported content is time consuming in itself. Yet, machine learning is not advanced enough at the moment to completely automate the process, though A.I. researchers at Facebook are working on software that they say will eventually enable computers to do most of the work. Current AI and ML systems are not close to being mature enough to address the complexities of moderation, given that almost all intelligence systems operate at a pattern recognition level, where any change in any one of the hundreds of attributes can throw a false positive, thereby passing the content and throwing the system off track. Advanced use cases such as differentiating a jibe from something more serious whether in a video or written format, in an efficient manner that doesn’t unduly stifle free speech is certainly out of question for many years to come.

 

More traditional methods of reviewers depending on user-reported content and user feedback to promote or demote content is too slow and is often regarded as “too-little, too-late“. It could take crucial hours for user-reported infractions to filter through and reach the reviewers, by which time the damage is already done.

Image Credit: Internet

To overcome these challenges, most platforms are now deploying combination of AI with human moderators to come close to building a viable system. The system begins with AI assisted, algorithms based logic program which does an initial flagging and flags anything where it finds even barely perceptible objectionable content. Once the content is flagged, it is taken down immediately or if not yet online, stopped from proceeding further, and queued up for an in-depth review by human operators. The content is then finally posted back online or taken down permanently based on the decision of human moderation process.

 

To illustrate this use of AI, let’s look at Inke, which is one of China’s largest live-streaming companies with 25 million users. As of the end of last year, almost 400 million people in China had done the equivalent of a Facebook Live and live-streamed their activities on the internet. Most of it is innocuous: showing relatives and friends back home the sights of Paris or showing nobody in particular what they are having for lunch or dinner (Source: South China Morning Post). Inke employs 1,200 mostly fresh-faced college graduates who have seconds to decide whether the two-piece swimwear on their screens breaches rules governing use of the platform. The team is the biggest in Inke, accounting for about 60 per cent of its workforce. The content moderators work to detailed regulations on what is allowed and what has to be removed. AI is employed to handle the grunt work of labelling, rating and sorting content into different risk categories. This classification system then allows the company to devote resources in ascending order of risk. A single reviewer can monitor more low-risk content at one time, say cooking shows, while high-risk content is flagged for closer scrutiny.

 

Yet even that – employing AI assisted algorithmic logic coupled with human moderators – may not be enough as Mark Zuckerberg, Facebook’s CEO and majority shareholder, published a memo on censorship in Dec 2018. “What should be the limits to what people can express?” he asked. “What content should be distributed and what should be blocked? Who should decide these policies and make enforcement decisions?” One idea he aired might be thought of as a Supreme Court of Facebook. “I’ve increasingly come to believe that Facebook should not make so many important decisions about free expression and safety on our own,” Zuckerberg wrote. “In the next year, we’re planning to create a new way for people to appeal content decisions to an independent body, whose decisions would be transparent and binding.”

 

Image Credit: Internet

Bigger elephant in the room

There are two major challenges to building and deploying any content monitoring system. The first challenge is simply of scale. As more than 300 hours of videos are uploaded just on YouTube every single minute, the humans monitoring the videos must be capable to correctly identify inappropriate content very, very quickly, virtually in seconds. Making those removal decisions are not simple yet must be made in seconds. Personal biases and tolerances need to be re-calibrated in favor of policies and law. In addition the biggest challenge humans face monitoring content is to maintain their objectivity while watching hours upon hours of videos. Many content reviewers have reported increase in stress levels and allegations of mental illnesses are not uncommon. A group of moderators sued Microsoft in January alleging that they were suffering from PTSD as a result of watching child abuse and other sadistic acts.

 

The second challenge is bigger and is not going to go anywhere anytime soon. As Mark Zuckerberg mentioned in Dec 2018, this challenge is all about who gets to regulate and to what extent, and more importantly who decides the rules of the game? Is it solely up to each content publisher or platform to define their own rules on what content to be flagged as inappropriate and taken down or demoted? Or is it up to the government or a regulatory body to fix this? Zuckerberg feels its clearly the latter.

 

Experts believe that for now at least human curators must continue to work alongside AI. This of course means that both the human moderators and AI backed algorithms have immense ground to cover before a reasonable degree of accuracy can be achieved. It will take time for the platforms, lets say, Facebook, to train its neural networks to streamline that process, while the human moderators continue to face the daunting task of identifying proverbial needle in the haystack.

 

Image Credit: Internet

Conclusion

Lets remember the main problem once again. The social media platforms are responsible for the content hosted on their platform and this responsibility cannot and must not be avoided in the name of freedom of expression, viewers’ choice, viewers’ promoted content, etc or whatever fancy term once may come up with.

 

When anyone speaks about identifying harmful content and the need to censor such content, it feels like the work should be done by robot moderators, but as reality beckons, AI doesn’t yet grasp context and gray areas. The struggle between free speech and censorship keeps humans in the center in this undesirable yet undeniable role.

 

As a content publisher, content aggregator or content reviewer, the stakes have never been higher to allow the content which is legitimate and in the interest of pubic to run freely, while any content which doesn’t meet these two conditions to be taken down as soon as it is put up before the content has the chance to reach any audience.

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Big Tech, content moderation and regulations – Three way road! https://1earthtech.com/big-tech-content-moderation/ https://1earthtech.com/big-tech-content-moderation/#respond Tue, 21 Jan 2020 19:45:30 +0000 https://1earthtech.com/?p=779 Big Tech controls lives yet has difficulty controlling what it hosts!

 

Introduction

When Mark Zuckerberg wrote the oped in WAPO in March 2019 asking for government and regulators to step in more aggressively to police the internet, he may have elaborated what many insiders feel regarding governing internet, and specifically what content is uploaded for viewers to view, download and use. Yet, not everything seems above board here as the challenges that Mark Zuckerberg cited so eloquently in his oped are the same challenges that have plagued tech industry for years. What has changed recently that governments are being called in to action, while so far the tech industry has fought tooth and nail for freedom of expression and freedom of speech?

 

All content platforms and social media companies must keep the content flowing because that is the business model: Content captures attention, provides viewership and generates data (users’ statistics). The platforms then sell that attention (read: viewership), enriched by that data (read: customized ads). But how do you deal with the objectionable, disgusting, pornographic, illegal, or otherwise verboten content uploaded alongside legitimate content?

 

The one thing we know for sure is that you can’t do it all with computing. To examine these issues, Roberts pulled together a first-of-its-kind conference on commercial content moderation last week at UCLA. According to Roberts, “In 2017, the response by firms to incidents and critiques of these platforms is not primarily ‘We’re going to put more computational power on it,’ but ‘We’re going to put more human eyeballs on it.’”

 

The debate on the usage of internet and governing content uploads is not new. The debate has been going on for some time now and is just about reaching peak interest levels around the world, with many governments promising action like EU and UK; few governments, like China, in fact taking strong action; and few just watching how the entire debate pans out and what, if any, changes come out as result.

 

The big tech players around the world have realized one thing – it’s a tough tight rope walk to control or govern the internet. If a platform puts in too strict controls, through user-reporting mechanism, AI backed algorithms and human monitors flagging and removing content, it will get labeled as ‘dictatorship’ and against free speech. If a platform puts in too few controls, hosting content freely and with little censorship, its going to get run over by activists from all ends of the spectrum, from left to right. It’s quite like an overflowing pot left simmering for long. The only difference is no one can lift the pot and no matter which way its tilted, boiling hot contents are sure to leave scalding marks.

 

Image Credit: Internet

Governments should Regulate!

Technology experts, including big tech companies themselves believe that for Zuckerberg and other big tech companies, “regulation” isn’t an uncouth word anymore. As with changing times, the big tech is now embracing regulations, not because of any newfound respect for regulations but purely as a business measure. From early days when big tech companies projected all regulations as reprehensible and fought any and all regulations tooth and nail, to the current day where they are welcoming regulations, the transformation cannot be more melodramatic.

 

Most of big tech today sees regulations as a set of common rules enforced by governments and regulators that’ll allow them to further cement their dominance of the internet. And if anything goes wrong, they always have the comfort of pointing the finger to the” Regulator” big brother.

 

Zuckerberg laid out 4 broad areas for government and regulators to govern more effectively and deeply.

Harmful content

The problem: Facebook serves as a platform for its billions of regular users to post, view and offer feedback about the content hosted on its servers. But when that content is more “terrorist propaganda” than “brunch photo,” or when it becomes “porn” than “essential context” to an image, the company has struggled to determine the right approach to removing it in time. The traditional methods of company moderators reviewing user-reported infractions is too time consuming, while the AI powered algorithms are too imprecise. Zuckerberg said he agrees with lawmakers that Facebook has too much power over what constitutes free speech.

 

Mark’s solution: Develop a more standardized approach by setting up an independent body of reviewers who are non-Facebook employees to decide which removal ban stays and to enforce rules. Think a Supreme Court.

 

Objection: The harmful content can be segregated in to multiple buckets. Facebook breaks down the kind of content it’s using AI to proactively detect into seven categories: Nudity, graphic violence, terrorism, hate speech, spam, fake accounts, and suicide prevention. It is unclear if Mark is encouraging the governments and regulators to look at any one category or all of these? The problem becomes even more interesting as at least 5 out of the 7 categories are effectively policed using AI and ML techniques.

 

  • Nudity and graphic violence: These are two very different types of content but Facebook is using improvements in computer vision to proactively remove both. Facebook’s AI backed algorithms depend on computer vision and a degree of confidence in order to determine whether or not to remove content. If the confidence is high, the content will be automatically removed; if it’s low, the system will call for manual review. The degree of confidence is further boosted by the right choices the system makes. Facebook claims that it removes 97% of violence and graphic content, and 96% of nudity before it is reported.
  • Hate speech: Understanding the context of speech often requires human eyes and human understanding as the context is very, very important. Is something hateful, or is it being shared to condemn hate speech or raise awareness about it? Facebook says it has started using technology to proactively detect something that might violate its policies, starting with certain languages such as English and Portuguese. Safety teams then review the content so what’s OK stays up, for example someone describing hate they encountered to raise awareness of the problem. In a major embarrassment, Facebook was used to spread fear and hate in Myanmar against Rohingya Muslims. Today, Facebook says it has hired more language-specific content reviewers, banned individuals and organizations that have broken rules, and built new technology to make it easier for people to report violating content.
  • Fake accounts: Facebook blocks millions of fake accounts every day when they are created and before they can do any harm. This is incredibly important in fighting spam, fake news, misinformation and bad ads. Recently, Facebook started using artificial intelligence to detect accounts linked to financial scams. An account reaching out to many more other accounts than usual; a large volume of activity that seems automated; and activity that doesn’t seem to originate from the geographic area associated with the account are clear warning signals. However, as a point of failure, Facebook failed to recognize several fake accounts set up by a government agency to lure fake admission seekers coming to US to stay long term without proper authorizations. Facebook did launch a complaint later with DHS about the fake accounts
  • Spam: The vast majority of work fighting spam is done automatically using recognizable patterns of problematic behavior. For example, if an account is posting over and over in quick succession that’s a strong sign something is wrong.
  • Terrorist propaganda: The vast majority of this content is removed automatically, without the need for someone to report it first. Facebook is proud of the way its AI systems have been able to remove most terrorist content, claiming that 99% of ISIS or Al-Qaeda content is removed even before being reported by users.
  • Suicide prevention: As explained above, Facebook proactively identifies posts which might show that people are at risk so that they can get help. Facebook claims it passed on information for thousands of suicide attempts to local first responders.

Image Credit: Internet

 

Protecting elections

The problem: Misinformation campaigns (aka “fake news”) on Facebook have interfered with democratic elections around the world. But as the company tries to provide more transparency, it’s having trouble classifying what should or shouldn’t be considered “political.” To be fair to tech companies, censorship is like walking a double-edged sword.

 

Mark’s solution: Let governments set common standards for verifying political actors. The NYT’s Mike Isaac thinks this could work: “When the next erroneous outburst inevitably occurs, Facebook could point toward the law it was forced to follow.”

 

Objection: Facebook has comprehensively shown it can tackle complicated political situations. In the past, the company has complied with requests from leaders of Vietnam and other countries to censor content critical of those governments. In P.R. China, Facebook reportedly created a censorship tool that suppresses posts for users in certain geographies as a way to potentially work with the government. In many western countries, the company has reportedly used the same technology it uses to identify copyrighted videos to identify and remove ISIS recruitment material. Further, Facebook claims that it has developed special programs to give people more information about the ads they see. These special features are since expanded to Brazil and the UK, and will soon in India.

Image Credit: The Verge

 

Privacy -:

The problem: The Cambridge Analytica scandal revealed that Facebook was playing fast and loose with user data. The fine legal print an user electronically signs has often given platforms incredible leeway over how they store and use users’ data while subjected to little or no regulations over how to use the data. There have been numerous breaches as companies have paid little attention to keeping the users’ data secure. To top it all, tech companies have been known to sell the data or allow usage for shady purposes. Worse of all, there are no effective laws in place to prevent misuse and seek preventive and corective actions. New privacy regulations, like Europe’s GDPR law, have come into effect…but that’s leading to an increasingly fragmented internet.

 

Mark’s solution: A global privacy framework à la GDPR.

 

Objection: Facebook and its affiliates through many data deals with parties having need to access users’ data have shown that commercial interests have often succeeded over the privacy concerns. Global frameworks like what Mark has suggested can take years to develop in best case scenario and yet not be applicable uniformly. Mark realizes that this is a gamble he is more than willing to play as its unclear who’s the regulator for a global policy framework?

Image Credit: The Verge

Data portability -:

The problem: Should you, as an internet user, be able to freely move your personal info from one service to another?

 

Mark’s solution: Yes. (Easier to say when he owns WhatsApp, Instagram, and Messenger.)

 

Objection: Again, a solution that serves Facebook and big tech’s own interest is hardly breaking news!

 

Facebook content moderators in action

Image Credit: Internet

 

Monika Bickert and her entire trust and Safety team at Facebook are focused to make sure that their moderators get it right while reviewing the content. There are 60 people dedicated just to crafting the policies for the company’s 15,000 content moderators. These policies are not available publicly anywhere, as these are sensitive and form the “book” which is used by safety teams and the content moderators to refer to when doing their jobs. These policies and definitions of common terms, often nuanced to the level of slangs used in local languages, are revised every two weeks to keep pace with changing ways of how people interact and speak. These sessions are often referred to as mini-legislative sessions, as different teams across the company — engineering, legal, content reviewers, external partners like nonprofit groups — provide recommendations to Bickert’s team for inclusion in the policy guidebook.

 

Many Facebook insiders like Neil Potts emphasize the similarity between what Facebook is doing and what government does. “We do really share the goals of government in certain ways,” he said. “If the goals of government are to protect their constituents, which are our users and community, I think we do share that. I feel comfortable going to the press with that.”

 

Image Credit: The Verge

 

Heart of the matter

In many ways, the change of heart across global tech landscape has resulted from the difficulties the platforms faced while trying to control and govern the harmful content uploaded on the internet’s content platforms. As the efforts to govern the internet continue, many who are fighting the battle daily are coming to realize the magnitude of difficulty this seemingly simple question of ‘what content to be allowed’ poses. Lets face it: Internet was never known to be deferential to peoples’ preferences. The advocates of freedom of expression and free speech, often big tech companies themselves, fought for as little government control as possible, decrying every move made by governments or regulators around the world.

 

Image Credit: Internet

 

Post the 2016 US presidential elections, when the investigations spread in to how agents posing as fake advertisers used social media platforms as a medium to spread biased propaganda to favor one side, the debate around transparency in social media, controls over content available on the internet and the influence on society converged. Google, Facebook, and Twitter were identified as primary targets of these foreign-state sponsored actors as the three companies sat through multiple congressional hearings last year to discuss how foreign agents used and abused their platforms to manipulate Americans. In the aftermath, Facebook tried desperately and failed to fix its fake news problem while it simultaneously reckoned with group of Russian government–backed agents masquerading as advocacy organizations in order to keep pushing socially divisive political messages. Facebook and Google had to publicly apologize and indirectly admit lax controls after it was revealed that advertisers (read: fake) could use their platforms to target a sub-section of society, or people in any age group or ethnicity, based on racist and bigoted interests—like “threesome rape” and “Jews ruin the world.”

 

Facebook hasn’t always taken content review as seriously as they do now. When Facebook Live launched, the technical tool to review the videos did not show where or which part of a video reported for review tended to generate user flags. So, if a Facebook Live video was reported or flagged for inappropriate content, and it was two hours long, the reviewers had to try to skim through entire two hours of content to figure out where the objectionable material might be. Of course, that’s during the pre-election good-old days.

 

Dangerous fake news has spread on platforms like Facebook in Myanmar, where the Rohingya ethnic minority are persecuted. United Nations has clearly blamed the role of social media in spreading the persecution and this is not the only example of its kind.

 

After a man used Facebook to live stream his attack on two New Zealand mosques in March 2019, the video quickly spread. YouTube Moderators fought back hard taking down the video as newer versions kept popping up seemingly beating the controls that YouTube has in place to immediately flag already removed material. The uploaders were able to sneak past by using a loophole – exact re-uploads of the video are banned by YouTube, however videos that contain clips of the original footage must be sent to human moderators for review, thereby delaying the process. And again this loophole existed for a purely legitimate reason – to ensure that news videos that use a portion of the video for their segments aren’t removed in the process.

 

Image Credit: Internet

 

YouTube today employs an expected 12 – 14,000 people, while Facebook now has over 30,000 people working on safety and security — about half of them are content reviewers working out of 20 offices around the world. Similarly, Twitter employees close to 4,000 people in its content review team. Facebook also announced that approx. 1,000 people will work on election focused advertisements alone to prevent the likelihood of the company getting used by false advertisers again.

 

In addition to the manpower, the promised marvels of cutting edge technology, a.k.a. powerful AI based algorithms written specifically to identify, target, and take down or report the harmful content have been, at best under-performers and at worst, simple waste of money and time. And lets not forget this. Facebook used AI backed technology and had an approx. 5,000 strong team of content reviewers before the 2016 elections. Yet it got itself in to significant trouble and scrutiny. Facebook now claims that it has invested record amounts in the past year in keeping people safe and strengthening its defenses against abuse. Facebook also states that its policies have provided people with far more control over their information and more transparency into policies, operations and ads.

 

Image Credit: Vox

 

Facebook also claims that amid all the efforts to control content, it has also started rolling out a content appeals process for users inquiring about their own content that’s been removed. The announcement for content appeals process came much earlier, almost like building hype around the topic is more important than the topic itself. The company said it will expand on this concept so users can appeal decision on reports filed on other people’s content. In addition, Facebook said it is training AI to detect and reduce the spread of “borderline content,” which it describes as “click-bait and misinformation.”

 

The content appeals process announced in 2018 was not a voluntary act of kindness at Facebook, either. Many believe that this is a dual pronged strategy as Facebook executives try to recover their public image. Firstly, this is in response to the increased global scrutiny of how content is treated, sanctioned or legitimized by content platforms. This is also in part due to the lens Facebook has come under especially since The Guardian published a leaked copy of Facebook’s content moderation guidelines, which describe the company’s policies for determining whether posts should be removed from the service. Secondly, Facebook executives hope that such measures would be seen as increasing transparency and fairness, while the opposite is actually true. Moreover, any damage resulting out of such transparent practices will pale in comparison to the risks Facebook will avert.

 

According to Guy Rosen, VP of Product Management at Facebook, “Artificial intelligence is very promising but we are still years away from it being effective for all kinds of bad content because context is so important. That’s why we have people still reviewing reports.” At Facebook, Guy continues, “we continue to train our software system by analyzing specific examples of bad content that have been reported and removed to identify patterns of behavior. These patterns can then be used to teach our software to proactively find other, similar problems.” However these revamped efforts came after multiple reports of algorithms which failed worldwide to identify news with harmful content, instead promoting content inconsistent with the platform’s terms of service, like a man performing sexual acts on a chicken sandwich.

 

Lastly, a look at the role of much touted content moderator has thrown up unmitigated and unexpected, yet serious concerns. What good is a job if it takes away from the professional much more than what it compensates for. What good is a job if it adds more to the healthcare costs and leads to destruction of professional and personal lives? The job of content reviewer itself has come under criticism from many angles. In the recent past, a former Facebook moderator sued, accusing the platform of psychological harm. Former Microsoft employees sued Microsoft for similar reasons after the alleged trauma from reviewing child porn. In a more recent report, The Verge carried out a scathing review of the job conditions for content moderators at Facebook and the harrowing conditions surrounding the job in general. As one employee interviewed in the report put it: “We were doing something that was darkening our soul — or whatever you call it,” he says. “What else do you do at that point? The one thing that makes us laugh is actually damaging us. I had to watch myself when I was joking around in public. I would accidentally say [offensive] things all the time — and then be like, Oh shit, I’m at the grocery storeI cannot be talking like this.

 

Image Credit: Internet

 

An NPR report sheds light on the activities of content moderators as 15,000 moderators contracted by the company worldwide spend their workday wading through racism, conspiracy theories and violence. In the wake of the original story carried out by the Verge, the attention has shifted to work conditions for content moderators. However this attention is not expected to bring about any big results as there are little alternatives to the practice of hiring content moderators to sift through mountains of content daily. As Newton cites in his story, that number is just short of half of the 30,000-plus employees Facebook hired by the end of 2018 to work on safety and security.

 

In a related CNN report, “It’s not really clear what the ideal circumstance would be for a human being to do this work,” said Sarah T. Roberts, an assistant professor of information studies at UCLA, who has been sounding the alarm about the work and conditions of content moderators for years.

 

Facebook would rather talk about its advancements in artificial intelligence, and dangle the prospect that its reliance on human moderators will decline over time. However that’s not going to happen anytime soon as the AI based system isn’t fully ready or dependable yet, hence the pressure is back on humans at least for the foreseeable future.

Image Credit: Internet

 

Conclusion

The roles of government and regulators and the big tech companies have often overlapped. In today’s context however, given the amount of data users are generating, the roles have blurred to some extent. However critical differences have always existed.

 

The big tech companies need to come out of their over-leveraged positions and take due responsibility for the content they host, support and spread. It is not going to be the end of the world if content platforms become more aggressive, nor is it a matter of financial survival as the tech giants have more cash-in-hand than many smaller countries.

 

So, the standoff between AI, human moderators, content platforms hiring the first two, and the target itself – harmful content, continues in to the future. Merely throwing money at the problem can be effective to silence critics in short-term, however long-term improvement plans warrant much more. For one though, the Big Tech has been short of making long term commitments and they have been consistent

 

Image Credit: Internet

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