Connect with us

Mobile

New privacy assistant Jumbo fixes your Facebook & Twitter settings – TechCrunch

Published

on

Jumbo could be a nightmare for the tech giants, but a savior for the victims of their shady privacy practices.

Jumbo saves you hours as well as embarrassment by automatically adjusting 30 Facebook privacy settings to give you more protection, and by deleting your old tweets after saving them to your phone. It can even erase your Google Search and Amazon Alexa history, with clean-up features for Instagram and Tinder in the works.

The startup emerges from stealth today to launch its Jumbo privacy assistant app on iPhone (Android coming soon). What could take a ton of time and research to do manually can be properly handled by Jumbo with a few taps.

The question is whether tech’s biggest companies will allow Jumbo to operate, or squash its access. Facebook, Twitter and the rest really should have built features like Jumbo’s themselves or made them easier to use, since they could boost people’s confidence and perception that might increase usage of their apps. But since their business models often rely on gathering and exploiting as much of your data as possible, and squeezing engagement from more widely visible content, the giants are incentivized to find excuses to block Jumbo.

“Privacy is something that people want, but at the same time it just takes too much time for you and me to act on it,” explains Jumbo founder Pierre Valade, who formerly built beloved high-design calendar app Sunrise that he sold to Microsoft in 2015. “So you’re left with two options: you can leave Facebook, or do nothing.”

Jumbo makes it easy enough for even the lazy to protect themselves. “I’ve used Jumbo to clean my full Twitter, and my personal feeling is: I feel lighter. On Facebook, Jumbo changed my privacy settings, and I feel safer.” Inspired by the Cambridge Analytica scandal, he believes the platforms have lost the right to steward so much of our data.

Valade’s Sunrise pedigree and plan to follow Dropbox’s bottom-up freemium strategy by launching premium subscription and enterprise features has already attracted investors to Jumbo. It’s raised a $3.5 million seed round led by Thrive Capital’s Josh Miller and Nextview Ventures’ Rob Go, who “both believe that privacy is a fundamental human right,” Valade notes. Miller sold his link-sharing app Branch to Facebook in 2014, so his investment shows those with inside knowledge see a need for Jumbo. Valade’s six-person team in New York will use the money to develop new features and try to start a privacy moment.

How Jumbo works

First let’s look at Jumbo’s Facebook settings fixes. The app asks that you punch in your username and password through a mini-browser open to Facebook instead of using the traditional Facebook Connect feature. That immediately might get Jumbo blocked, and we’ve asked Facebook if it will be allowed. Then Jumbo can adjust your privacy settings to Weak, Medium, or Strong controls, though it never makes any privacy settings looser if you’ve already tightened them.

Valade details that since there are no APIs for changing Facebook settings, Jumbo will “act as ‘you’ on Facebook’s website and tap on the buttons, as a script, to make the changes you asked Jumbo to do for you.” He says he hopes Facebook makes an API for this, though it’s more likely to see his script as against policies.

.

For example, Jumbo can change who can look you up using your phone number to Strong – Friends only, Medium – Friends of friends, or Weak – Jumbo doesn’t change the setting. Sometimes it takes a stronger stance. For the ability to show you ads based on contact info that advertisers have uploaded, both the Strong and Medium settings hide all ads of this type, while Weak keeps the setting as is.

The full list of what Jumbo can adjust includes Who can see your future posts?, Who can see the people?, Pages and lists you follow, Who can see your friends list?, Who can see your sexual preference?, Do you want Facebook to be able to recognize you in photos and videos?, Who can post on your timeline?, and Review tags people add to your posts the tags appear on Facebook? The full list can be found here.

For Twitter, you can choose if you want to remove all tweets ever, or that are older than a day, week, month (recommended), or three months. Jumbo never sees the data, as everything is processed locally on your phone. Before deleting the tweets, it archives them to a Memories tab of its app. Unfortunately, there’s currently no way to export the tweets from there, but Jumbo is building Dropbox and iCloud connectivity soon, which will work retroactively to download your tweets. Twitter’s API limits mean it can only erase 3,200 tweets of yours every few days, so prolific tweeters may require several rounds.

Its other integrations are more straightforward. On Google, it deletes your search history. For Alexa, it deletes the voice recordings stored by Amazon. Next it wants to build a way to clean out your old Instagram photos and videos, and your old Tinder matches and chat threads.

Across the board, Jumbo is designed to never see any of your data. “There isn’t a server-side component that we own that processes your data in the cloud,” Valade says. Instead, everything is processed locally on your phone. That means, in theory, you don’t have to trust Jumbo with your data, just to properly alter what’s out there. The startup plans to open source some of its stack to prove it isn’t spying on you.

While there are other apps that can clean your tweets, nothing else is designed to be a full-fledged privacy assistant. Perhaps it’s a bit of idealism to think these tech giants will permit Jumbo to run as intended. Valade says he hopes if there’s enough user support, the privacy backlash would be too big if the tech giants blocked Jumbo. “If the social network blocks us, we will disable the integration in Jumbo until we can find a solution to make them work again.”

But even if it does get nixed by the platforms, Jumbo will have started a crucial conversation about how privacy should be handled offline. We’ve left control over privacy defaults to companies that earn money when we’re less protected. Now it’s time for that control to shift to the hands of the user.

Source link

Continue Reading
Click to comment

Leave a Reply

Your email address will not be published. Required fields are marked *

Mobile

Android’s winter update adds new features to Gboard, Maps, Books, Nearby Share and more – TechCrunch

Published

on

Google announced this morning Android phones will receive an update this winter that will bring some half-dozen new features to devices, including improvements to apps like Gboard, Google Play Books, Voice Access, Google Maps, Android Auto, and Nearby Share. The release is the latest in a series of update bundles that now allow Android devices to receive new features outside of the usual annual update cycle.

The bundles may not deliver Android’s latest flagship features, but they offer steady improvements on a more frequent basis.

One of the more fun bits in the winter update will include a change to “Emoji Kitchen,” the feature in the Gboard keyboard app that lets users combine their favorite emoji to create new ones that can be shared as customized stickers. To date, users have remixed emoji over 3 billion times since the feature launched earlier this year, Google says. Now, the option is being expanded. Instead of offering hundreds of design combinations, it will offer over 14,000. You’ll also be able to tap two emoji to see suggested combinations or double tap on one emoji to see other suggestions.

Image Credits: Google

This updated feature had been live in the Gboard beta app, but will now roll out to Android 6.0 and above devices in the weeks ahead.

Another update will expand audiobook availability on Google Play Books. Now, Google will auto-generate narrations for books that don’t offer an audio version. The company says it worked with publishers in the U.S. and U.K. to add these auto-narrated books to Google Play Books. The feature is in beta but will roll out to all publishers in early 2021.

An accessibility feature that lets people use and navigate their phone with voice commands, Voice Access, will also be improved. The feature will soon leverage machine learning to understand interface labels on devices. This will allow users to refer to things like the “back” and “more” buttons, and many others by name when they are speaking.

The new version of Voice Access, now in beta, will be available to all devices worldwide running Android 6.0 or higher.

An update for Google Maps will add a new feature to one of people’s most-used apps.

In a new (perhaps Waze-inspired) “Go Tab,” users will be able to more quickly navigate to frequently visited places — like a school or grocery store, for example — with a tap. The app will allow users to see directions, live traffic trends, disruptions on the route, and gives an accurate ETA, without having to type in the actual address. Favorite places — or in the case of public transit users, specific routes — can be pinned in the Go Tab for easy access. Transit users will be able to see things like accurate departure and arrival times, alerts from the local transit agency, and an up-to-date ETA.

Image Credits: Google

One potentially helpful use case for this new feature would be to pin both a transit route and driving route to the same destination, then compare their respective ETAs to pick the faster option.

This feature is coming to both Google Maps on Android as well as iOS in the weeks ahead.

Android Auto will expand to more countries over the next few months. Google initially said it would reach 36 countries, but then updated the announcement language as the timing of the rollout was pushed back. The company now isn’t saying how many countries will gain access in the months to follow or which ones, so you’ll need stay tuned for news on that front.

Image Credits: Google

The final change is to Nearby Share, the proximity-based sharing feature that lets users share things like links, files, photos and and more even when they don’t have a cellular or Wi-Fi connection available. The feature, which is largely designed with emerging markets in mind, will now allow users to share apps from Google Play with people around them, too.

To do so, you’ll access a new “Share Apps” menu in “Manage Apps & Games” in the Google Play app. This feature will roll out in the weeks ahead.

Some of these features will begin rolling out today, so you may receive them earlier than a timeframe of several “weeks,” but the progress of each update will vary.

Continue Reading

Mobile

iPhones can now automatically recognize and label buttons and UI features for blind users – TechCrunch

Published

on

Apple has always gone out of its way to build features for users with disabilities, and Voiceover on iOS is an invaluable tool for anyone with a vision impairment — assuming every element of the interface has been manually labeled. But the company just unveiled a brand new feature that uses machine learning to identify and label every button, slider, and tab automatically.

Screen Recognition, available now in iOS 14, is a computer vision system that has been trained on thousands of images of apps in use, learning what a button looks like, what icons mean, and so on. Such systems are very flexible — depending on the data you give them, they can become expert at spotting cats, facial expressions, or as in this case the different parts of a user interface.

The result is that in any app now, users can invoke the feature and a fraction of a second later every item on screen will be labeled. And by “every,” they mean every — after all, screen readers need to be aware of every thing that a sighted user would see and be able to interact with, from images (which iOS has been able to create one-sentence summaries of for some time) to common icons (home, back) and context-specific ones like “…” menus that appear just about everywhere.

The idea is not to make manual labeling obsolete — developers know best how to label their own apps, but updates, changing standards, and challenging situations (in-game interfaces, for instance) can lead to things not being as accessible as they could be.

I chatted with Chris Fleizach from Apple’s iOS accessibility engineering team, and Jeff Bigham from the AI/ML accessibility team, about the origin of this extremely helpful new feature. (It’s described in a paper due to be presented next year.)

“We looked for areas where we can make inroads on accessibility, like image descriptions,” said Fleizach. “In iOS 13 we labeled icons automatically – Screen Recognition takes it another step forward. We can look at the pixels on screen and identify the hierarchy of objects you can interact with, and all of this happens on device within tenths of a second.”

The idea is not a new one, exactly; Bigham mentioned a screen reader, Outspoken, which years ago attempted to use pixel-level data to identify UI elements. But while that system needed precise matches, the fuzzy logic of machine learning systems and the speed of iPhones’ built-in AI accelerators means that Screen Recognition is much more flexible and powerful.

It wouldn’t have been possibly just a couple years ago — the state of machine learning and the lack of a dedicated unit for executing it meant that something like this would have been extremely taxing on the system, taking much longer and probably draining the battery all the while.

But once this kind of system seemed possible, the team got to work prototyping it with the help of their dedicated accessibility staff and testing community.

“VoiceOver has been the standard bearer for vision accessibility for so long. If you look at the steps in development for Screen Recognition, it was grounded in collaboration across teams — Accessibility throughout, our partners in data collection and annotation, AI/ML, and, of course, design. We did this to make sure that our machine learning development continued to push toward an excellent user experience,” said Bigham.

It was done by taking thousands of screenshots of popular apps and games, then manually labeling them as one of several standard UI elements. This labeled data was fed to the machine learning system, which soon became proficient at picking out those same elements on its own.

It’s not as simple as it sounds — as humans, we’ve gotten quite good at understanding the intention of a particular graphic or bit of text, and so often we can navigate even abstract or creatively designed interfaces. It’s not nearly as clear to a machine learning model, and the team had to work with it to create a complex set of rules and hierarchies that ensure the resulting screen reader interpretation makes sense.

The new capability should help make millions of apps more accessible, or just accessible at all, to users with vision impairments. You can turn it on by going to Accessibility settings, then VoiceOver, then VoiceOver Recognition, where you can turn on and off image, screen, and text recognition.

It would not be trivial to bring Screen Recognition over to other platforms, like the Mac, so don’t get your hopes up for that just yet. But the principle is sound, though the model itself is not generalizable to desktop apps, which are very different from mobile ones. Perhaps others will take on that task; the prospect of AI-driven accessibility features is only just beginning to be realized.

Continue Reading

Mobile

VSCO acquires mobile app Trash to expand into AI-powered video editing – TechCrunch

Published

on

VSCO, the popular photo and video editing app, today announced it has acquired AI-powered video editing app Trash, as the company pushes further into the video market. The deal will see Trash’s technology integrated into the VSCO app in the months ahead, with the goal of making it easier for users to creatively edit their videos.

Trash, which was co-founded by Hannah Donovan and Genevieve Patterson, cleverly uses artificial intelligence technology to analyze multiple video clips and identify the most interesting shots. It then stitches your clips together automatically to create a final product. In May, Trash added a feature called Styles that let users pick the type of video they wanted to make — like a recap, a narrative, a music video or something more artsy.

After Trash creates its AI-powered edit, users can opt to further tweak the footage using buttons on the screen that let them change the order of the clips, change filters, adjust the speed or swap the background music.

Image Credits: Trash

With the integration of Trash’s technology, VSCO envisions a way to make video editing even more approachable for newcomers, while still giving advanced users tools to dig in and do more edits, if they choose. As VSCO co-founder and CEO Joel Flory explains, it helps users get from that “point zero of staring at their Camera Roll…to actually putting something together as fast as possible.”

“Trash gets you to the starting point, but then you can dive into it and tweak [your video] to really make it your own,” he says.

The first feature to launch from the acquisition will be support for multi-clip video editing, expected in a few months. Over time, VSCO expects to roll out more of Trash’s technologies to its user base. As users make their video edits, they may also be able to save their collection of tweaks as “recipes,” like VSCO currently supports for photos.

“Trash brings to VSCO a deep level of personalization, machine learning and computer vision capabilities for mobile that we believe can power all aspects of creation on VSCO, both now and for future investments in creativity,” says Flory.

The acquisition is the latest in a series of moves VSCO has made to expand its video capabilities.

At the end of 2019, VSCO picked up video technology startup Rylo. A few months later, it had leveraged the investment to debut Montage, a set of tools that allowed users to tell longer video stories using scenes, where they could also stack and layer videos, photos, colors and shapes to create a collage-like final product. The company also made a change to its app earlier this year to allow users to publish their videos to the main VSCO feed, which had previously only supported photos.

More recently, VSCO has added new video effects, like slowing down, speeding up or reversing clips and new video capture modes.

As with its other video features, the new technology integrations from Trash will be subscriber-only features.

Today, VSCO’s subscription plan costs $19.99 per year, and provides users with access to the app’s video editing capabilities. Currently, more than 2 million of VSCO’s 100 million+ registered users are paid subscribers. And, as a result of the cost-cutting measures and layoffs VSCO announced earlier this year, the company has now turned things around to become EBITDA positive in the second half of 2020. The company says it’s on the path to profitability, and additional video features like those from Trash will help.

Image Credits: Trash

VSCO’s newer focus on video isn’t just about supporting VSCO’s business model, however, it’s also about positioning the company for the future. While the app grew popular during the Instagram era, today’s younger users are more often posting videos to TikTok instead. According to Apple, TikTok was the No. 2 most downloaded free app of the year — ahead of Instagram, Facebook and Snapchat.

Though VSCO doesn’t necessarily envision itself as only a TikTok video prep tool, it does have to consider that growing market. Similar to TikTok, VSCO’s user base consists of a younger, Gen Z demographic; 75% of VSCO’s user base is under 25, for example, and 55% of its subscribers are also under 25. Combined, its user base creates more than 8 million photos and videos per day, VSCO says.

As a result of the acquisition, Trash’s standalone app will shut down on December 18.

Donovan will join VSCO as Director of Product and Patterson as Sr. Staff Software Engineer, Machine Learning. Other Trash team members, including Karina Bernacki, Chihyu Chang and Drew Olbrich, will join as Chief of Staff, Engineering Manager and Sr. Software Engineer for iOS, respectively.

“We both believe in the power of creativity to have a healthy and positive impact on people’s lives,” said Donovan, in Trash’s announcement. “Additionally, we have similar audiences of Gen Z casual creators; and are focused on giving people ways to express themselves and share their version of the world while feeling seen, safe, and supported,” she said.

Trash had raised a total of $3.3 million — a combination of venture capital and $500,000 in grants — from BBG, Betaworks, Precursor and Dream Machine, as well as the National Science Foundation. (Multiple TechCrunch connections here: BBG is backed by our owner Verizon Media, while Dream Machine is the fund created by former TechCrunch editor Alexia Bonatsos.)

“Han and Gen and the Trash team have always paid attention to the needs of creators first and foremost. My hope is that the VSCO and Trash partnership will turn all of us into creators, and turn the gigabytes of latent videos on our phones from trash to treasures,” said Bonatsos, in a statement about the deal.

Flory declined to speak to the deal price, but characterized the acquisition as a “win-win for both the Trash team and for VSCO.”

Continue Reading

Trending