Category Archives: Attribution

Flickr Considers Letting Users Opt-Out Of Auto-Tagging

By | Attribution, Image Recognition, Tagging | No Comments

This is an excerpt from TechCrunch and Posted  by  

Not everyone was happy with last week’s major revamp of Yahoo-owned photo-sharing site Flickr. A small, but very vocal, portion of Flickr’s user base of 100 million members, immediately took to the forums to lament the fact that the site’s new “auto-tagging” feature was enabled by default, and, worse, that there was no opt-out option provided. But that may now be changing, we understand.Flickr recently introduced a series of upgrades to its service on the web and on mobile designed to make every aspect of photo editing, organization and sharing easier on its service. A couple of the more notable changes were the addition of auto-tagging and new image-recognition capabilities. Combined, these features allow Flickr to identify what’s in a photo, and then automatically categorize it on users’ behalf by adding tags. This, in turn, makes images easier to surface by way of search.

Flickr_Web Search

Auto-tagging especially makes sense in today’s highly mobile age, where users take large numbers of photos and most no longer have the time or inclination to carefully group them or categorize them by manually adding tags. Tags, after all, are a holdover from an earlier time – the not-too-distant past before we all carried smartphones in our pockets capable of taking quality photos.

But for many Flickr users, tags are something they still feel strongly about, judging by the forum’s many comments. With over 1,370 replies to the official Flickr post (and growing), these users have been venting their frustration about the addition of auto-tagging. Many of those commenting have actually been fairly conscientious about their tags over the years, and don’t like that Flickr is now adding its own tags to their photos.

In addition, several also complain that Flickr’s auto-tags simply aren’t that accurate. In some cases, those mistakes are somewhat benign – a BMW gets tagged as a Ferrari, for example. But other times, they can be really terrible – as in the case of a user whose Auschwitz photos were incorrectly tagged as “sport,” for instance.

The problem lies with the fact that an algorithmic system of tagging is never going to be perfect – though it is capable of improving over time based on users’ corrections. But some are unwilling to wait for that training process to occur. They just want out. Period.

However, Flickr doesn’t offer an option to disable the auto-tagging at all, which is a rather bold stance to take. And while users can batch edit a group of tagged photos, they can’t edit auto-generated tags. So the only way to edit the auto-generated tags is to go into each photo individually. This is far too time-consuming for most people to manage, which is why so many are upset.

But Flickr tells us that it’s taking the community feedback on the matter seriously, and is evaluating an option that would allow an opt-out of the automated tagging. The option is not yet being built, but it is at least being actively discussed, from what we understand.

The company further explains that auto-tagging is actually a fairly crucial part to the upgraded service, as it is what powers a number of the new features, including the “Magic View,” which helps users organize and share their photos based on topic, as well as the new search tools and other “future features” still in the works. That could explain why Flickr felt strongly enough about auto-tagging to not make it an opt-in option in the first pace, as well as why there’s no “off” switch for the time being.

While likely a large majority of consumers won’t care (or maybe even notice), for those power users and others who rely heavily on Flickr as their main online image repository, adding the “opt-out” option – even as a gesture to the community – would be appreciated.

The Watermark Project

By | Attribution, Blog, Watermarks | No Comments

The Watermark Project from George Prest on Vimeo.

“How do you change perception of a billion dollar company? Not with advertising but by changing the very interface that made them less than popular in the first place. By changing their product.
This is the first work that R/GA London has done for one of its newest clients, Getty Images.
We’re dead proud of it.” -George Prest

The Watermark Project

Smile! Marketing Firms Are Mining Your Selfies

By | Attribution, Blog, Image Ads, Image Recognition, Monetization | No Comments


Most users of popular photo-sharing sites like Instagram, Flickr and Pinterest know that anyone can view their vacation pictures if shared publicly.

But they may be surprised to learn that a new crop of digital marketing companies are searching, scanning, storing and repurposing these images to draw insights for big-brand advertisers.

Some companies, such as Ditto Labs Inc., use software to scan photos—the image of someone holding a Coca-Cola can, for example—to identify logos, whether the person in the image is smiling, and the scene’s context. The data allow marketers to send targeted ads or conduct market research.

Others, such as Piqora Inc., store images for months on their own servers to show marketers what is trending in popularity. Some have run afoul of the loose rules on image-storing that the services have in place.

The startups’ efforts are raising fresh privacy concerns about how photo-sharing sites convey the collection of personal data to users. The trove is startling: Instagram says 20 billion photos have already been shared on its service, and users are adding about 60 million a day.

The digital marketers gain access to photos publicly shared on services like Instagram or Pinterest through software code called an application programming interface, or API. The photo-sharing services, in turn, hope the brands will eventually spend money to advertise on their sites.

Privacy watchdogs contend these sites aren’t clearly communicating to users that their images could be scanned in bulk or downloaded for marketing purposes. Many users may not intend to promote, say, a pair of jeans they are wearing in a photo or a bottle of beer on the table next to them, the privacy experts say.

A screenshot of the Ditto Labs site shows the fire hose of photos that it scans for brands. The site filters photos by categories such as beer. ENLARGE
A screenshot of the Ditto Labs site shows the fire hose of photos that it scans for brands. The site filters photos by categories such as beer. DITTO LABS
“This is an area that could be ripe for commercial exploitation and predatory marketing,” said Joni Lupovitz, vice president at children’s privacy advocacy group Common Sense Media. “Just because you happen to be in a certain place or captured an image, you might not understand that could be used to build a profile of you online.”

In recent years, startups have begun mining text in tweets or social-media posts for keywords that indicate trends or sentiment toward brands. The market for image-mining is newer and potentially more invasive because photos inspire more emotions in people and are sometimes open to more interpretation than text.

Instagram, Flickr and Pinterest Inc.—among the largest photo-sharing sites—say they adequately inform users that publicly posted content might be shared with partners and take action when their rules are violated by outside developers. Photos that are marked as private by users or not shared wouldn’t be available to marketers.

There are no laws forbidding publicly available photos from being analyzed in bulk, because the images were posted by the user for anyone to see and download. The U.S. Federal Trade Commission does require that websites be transparent about how they share user data with third parties, but that rule is open to interpretation, particularly as new business models arise. Authorities have charged companies that omit the scope of their data-sharing from privacy policies with misleading consumers.

‘“Our API only provides public information to a handful of partners intended to help their clients understand the performance of their content on Pinterest.”’
The FTC declined to comment.

The photo sites’ privacy policies—the legal document enforced by law as promises to consumers—vary in wording but none of them clearly convey how third-party services treat user-posted photos.

For example, the privacy policy of Instagram, which is owned by Facebook Inc., directs its more than 200 million users to a separate document that explains rules for developers. Pinterest and Flickr, owned by Yahoo Inc., have no explicit mention of third-party developers in their privacy policies. Other popular sites for photos, including Twitter Inc. and another Yahoo-owned site, Tumblr, warn users they may share nonprivate content with third parties.

While Facebook is one of the largest photo-sharing sites, the fact that most of its users restrict their photos’ access with privacy controls has deterred outside developers from mining those images. Developers commonly use Facebook’s API to pull in profile photos of its members but not for marketing purposes.

An Instagram spokesman said its partnerships with developers don’t “change anything about who owns photos, or the protections we have in place to keep our community a safe place.” Flickr said it takes steps to prevent outside developers from scanning photos on its site in bulk.

Pinterest said “our API only provides public information to a handful of partners intended to help their clients understand the performance of their content on Pinterest.”

Spokeswomen for Tumblr and Twitter declined to comment.

Jules Polonetsky, the director of Future of Privacy Forum, an advocacy group funded by Facebook and other tech companies, said users should assume that companies are scanning sites for market research if their photos are publicly viewable.

But the boom in image-scanning technologies could lead to a world in which people’s offline behavior, caught in unsuspecting images, increasingly becomes fodder for more personalized forms of marketing, said Peter Eckersley, technology-projects director for the Electronic Frontier Foundation.

Moreover, the use of software to scan faces or objects in photos is so new that most sites don’t mention the technology in their privacy policies.

Advertisers such as Kraft Foods Group Inc. pay Ditto Labs to find their products’ logos in photos on Tumblr and Instagram. The Cambridge, Mass., company’s software can detect patterns in consumer behavior, such as which kinds of beverages people like to drink with macaroni and cheese, and whether or not they are smiling in those images. Ditto Labs places users into categories, such as “sports fans” and “foodies” based on the context of their images.

Kraft might use those insights to cross-promote certain products in stores or ads, or to better target customers online. David Rose, who founded Ditto Labs in 2012, said one day his image-recognition software will enable consumers to “shop” their friends’ selfies, he said. Kraft didn’t respond to a request for comment.

Ditto Labs also offers advertisers a way to target specific users based on their photos posted on Twitter, though Mr. Rose said most advertisers are reluctant to do so because users might find it “creepy.”
Mr. Rose acknowledges that most people who upload photos don’t understand they could be scanned for marketing insights. He said photo-sharing services should do more to educate users and give them finer controls over how companies like his treat photos.

Beyond image recognition, some API partners employ a process called “caching,” meaning they download photos to their own servers. One of the more common uses of caching is to build a marketing campaign around photos uploaded by users and tagged with a specific hashtag.

The companies don’t mention caching in their privacy policies and they vary in how long developers can store photos on their servers. Tumblr, for example, restricts caching to three days while Instagram says “reasonable periods.”

Some developers have already overstepped the rules set forth by photo-sharing sites. Last month, Pinterest learned from a Wall Street Journal inquiry that Piqora, one of seven partners in its business API program, launched in May, was violating its image-use policy.

Piqora, a San Mateo, Calif., marketing analytics startup, collects photos into a graphical dashboard that help companies such as clothing and accessories maker Fossil Inc. track which of its own products and those of competing brands are most popular. This violated Pinterest’s rules, which restrict partners from using images from the site that were posted by anyone except their own clients.

After Pinterest learned about the violation, the company asked Piqora to discontinue the practice and plans to begin performing regular audits of its business partners, a spokesman for Pinterest said. Fossil didn’t respond to a request for comment.

Piqora co-founder and Chief Executive Sharad Verma says he has removed the ability to view competitors’ images in the dashboard. He also clarified his company’s cached photos policy from Instagram. Rather than keeping photos for an indefinite period of time, Mr. Verna said he will now delete photos from his servers within 120 days.

“We might be looking at doing away with caching and figuring out a new way to optimize our software,” Mr. Verma said.

— Lisa Fleisher contributed to this article.

Write to Douglas MacMillan at and Elizabeth Dwoskin at