- Facebook has 200 projects at any time
- Wipro project started in April 2018
- Lawyers say program raises new privacy concerns
HYDERABAD, India / SAN FRANCISCO – Over the past year, a team of as many as 260 contract workers in Hyderabad, India has plowed through millions of Facebook Inc. photos, status updates and other content posted since 2014.
The workers categorize items according to five "dimensions," as Facebook calls them
These include the subject of the post – is it food, for example, or a selfie or an animal? What is the occasion – an everyday activity or major life event? And what is the author's intention ̵
The work is aimed at understanding how the types of things users post on its services are changing, Facebook said. That can help the company develop new features, potentially increasing usage and revenue. The workers spoke on condition of anonymity due to fear of retaliation by the Indian firm. Facebook later confirmed many details of the project. Wipro declined to comment and mentioned all questions to Facebook
The Wipro work is among about 200 content labeling projects that Facebook has at any time, employing thousands of people globally, company officials customs Reuters. Many projects are aimed at "training" the software that determines what appears in users' news feeds and powers the artificial intelligence underlying many other features.
The labeling efforts have been previously reported.
"It's a core part of what you need, "said Nipun Mathur, the director of product management for AI at Facebook. "I don't see the need going away."
The content labeling program could raise new privacy issues for Facebook, according to legal experts consulted by Reuters. The company is facing regulatory investigations worldwide, unrelated to alleged privacy abuses involving the sharing of user data with business partners.
family member. Facebook acknowledged that some posts, including screenshots and those with comments, may include user names.
The company said its legal and privacy teams must sign off on all labeling efforts, adding that it was recently introduced to auditing system "to ensure that privacy expectations are being followed and parameters in place are as expected. "But one form Facebook privacy manager, speaking on condition of anonymity, expressed unease about users' posts being scrutinized without their explicit permission. The European Union's year-old General Data Protection Regulation (GDPR) has strict rules about how companies gather and use personal data and in many cases requires specific consent.
"One of the key pieces of GDPR is purpose limitation," said John Kennedy, a partner at law firm Wiggin and Dana who has worked on outsourcing, privacy and AI.
For the purpose of looking at improving the precision of services, that should be stated explicitly, Kennedy said. Using an outside vendor for the work could also require consent.
It remains unclear how GDPR will be interpreted and whether regulators and consumers would see Facebook's internal labeling practices as problematic. Europe's top data privacy officially declined to comment on possible concerns
A Facebook spokeswoman said: "We make it clear in our data policy that we use the information people provide to Facebook to improve their experience and that we might work with service providers to help in this process. "
US Senator Mark Warner, a Democrat and leading critic of social media, told Reuters in a statement that large platforms are increasingly "more and more data from users, for wider and more far-reaching uses, without any corresponding compensation to the user."
Warner said he was drafting legislation that would require Facebook to "disclose the value of users' data, and tell users exactly how their data is being monetized."
THE PROJECT -powered content labeling, also referred to as "data annotation," is a growth industry as companies seek to harness data for AI training and other purposes.
Self-driving car companies such as Alphabet Inc's Waymo have labelers identify traffic lights and pedestrians in videos to fortify their AI. Voice assistant developers including Amazon.com Inc have people annotate customer audio to improve AI's ability to decipher speech
Facebook launched the Wipro project last April. The Indian firm received a $ 4 million contract and formed a team of about 260 labelers, according to the workers. Last year, the work consisted of analyzing posts from the prior five years.
After completing that, the team in December was cut to about 30 and shifted to labeling each month posts from the prior month. Work is expected to last through at least the end of 2019, they said.
Facebook confirmed the staffing changes but declined to comment on financial details.
The company said its analysis is ongoing so it could not provide any findings from the labeling or resulting product decisions. It has not been labeled labelers the purpose of results of the project, and the workers said all they have inferred from their limited view is that selfies are increasingly popular.
The Wipro labelers and Facebook said the posts are a random sampling of text based status updates, shared links, event posts, Stories feature uploads, videos and photos, including user-posted screenshots of chats on Facebook's various messaging apps. The posts come from Facebook and Instagram users globally, in languages including English, Hindi and Arabic.
Each item goes to two labelers to check accuracy, and a third if they disagree, Facebook said. Workers said they see on average 700 items per day. Facebook confirmed labelers in Timisoara, Romania and Manila, the Philippines are involved in the same project.
Among Facebook's other labeling projects, one worker in Hyderabad for outsourcing vendor Cognizant Technology Solutions Corp. said he and at least 500 colleagues look for sensitive topics or profane language in Facebook videos.
The aim is to train an automated Facebook tool that enables advertisers to avoid sponsoring videos that are, for example, adult or political, Facebook said. Cognizant did not respond to a request for comment.
Another application of labeling involved the social network's marketplace shopping feature, where it automated category recommendations for new listings by first having labelers and product experts categorize some existing listings, Facebook's Mathur said. 19659006] PRIVATE POSTS
Facebook users are not offered the chance to be out of their data being labeled. privately to a limited set of user's friends. That ensures the sample reflects the range of activity on Facebook and Instagram, said Karen Courington, director of product support operations at Facebook.
Facebook data does not explicitly mention manual analysis.
"We provide information and content to vendors and service providers who support our business, such as providing technical infrastructure services, analyzing how our products are used, providing customer service, facilitating payments or conducting surveys, "the policy states.
Europe's GDPR also requires companies delete user data upon request. Facebook said it has technology to routinely sync labeled posts with both deletion requests and changes to content privacy settings. Facebook and other companies are testing techniques to curtail the need for outsourced labeling, partly to analyze more data faster and cheaper. For instance, AI training data for news feed rankings and photo descriptions for the blind came from hashtags on Instagram posts, Facebook's Mathur said.
"We try to minimize the amount of things we send out," he said.