15 October 2020

Google will let everyone migrate from Hangouts to Chat for free in 2021


Google’s strategy around its messaging apps is nothing if not messy right now (hello Hangouts, Meet, Chat, Duo and Co.), but it looks like things will get a bit easier come next year. We already knew that Hangouts’ time was coming to an end and as Google announced today, the company will allow all current Hangouts users to migrate to Chat — which was originally meant to only be its Slack-like messaging service for business users — in the first half of 2021.

One interesting wrinkle here: Chat will now also become free to use for consumers. Currently, you have to be a paying G Suite/Workspace user to access the service (though somehow it’s enabled on my free personal account).

While Chat isn’t an exact 1-to-1 replacement of Hangouts, it actually offers a bunch of additional features for group chats and collaboration around files and tasks, as well as new security tools. Chat, together with Rooms and Meet, will also be integrated deeply into the Gmail app as part of Google’s Workspace migration.

Image Credits: Google

Google says it will automatically migrate all Hangouts conversations, contacts and history to Chat, but it’s not providing details about this yet. Final timing, Google says, may still shift. It’s not clear, though, when Google will force everyone to migrate and shut down the Hangouts servers for good.

There are a few more details here: if you use Hangouts with Google Fi, Hangouts support will go away ‘early next year.’ Traditionally, Fi users were able to make calls and manage their text messages from Hangouts. That experience will migrate to Google’s Messages app.

If you’re a Google Voice user, there’s a similar transition happening. For voice calls and text messages, Hangouts users will now be directed to the Voice app and early next year, your Voice support will be removed from Hangouts.

And for all users in the U.S. and Europe, the ability to call phones from Hangouts will disappear at the beginning of next year — and group video calls in Hangouts will transition to Meet in November.

Yeah — that all sounds complicated, but it’s a problem of Google’s own making. A few years ago, the idea was to move Hangouts users to its Allo and Duo apps and business users to Chat and Meet (or whatever they were called back then). Allo flopped (and few people use Duo), leaving Google with the unenviable task of keeping the aging Hangouts platform around for the foreseeable future and making the overall transition harder and more complicated, to the point where I’m not sure that consumers really understand what’s happening.

 


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Recreating Historical Streetscapes Using Deep Learning and Crowdsourcing


For many, gazing at an old photo of a city can evoke feelings of both nostalgia and wonder — what was it like to walk through Manhattan in the 1940s? How much has the street one grew up on changed? While Google Street View allows people to see what an area looks like in the present day, what if you want to explore how places looked in the past?

To create a rewarding “time travel” experience for both research and entertainment purposes, we are launching (pronounced as re”turn"), an open source, scalable system running on Google Cloud and Kubernetes that can reconstruct cities from historical maps and photos, representing an implementation of our suite of open source tools launched earlier this year. Referencing the common prefix meaning again or anew, is meant to represent the themes of reconstruction, research, recreation and remembering behind this crowdsourced research effort, and consists of three components:

  • A crowdsourcing platform, which allows users to upload historical maps of cities, georectify (i.e., match them to real world coordinates), and vectorize them
  • A temporal map server, which shows how maps of cities change over time
  • A 3D experience platform, which runs on top of the map server, creating the 3D experience by using deep learning to reconstruct buildings in 3D from limited historical images and maps data.

Our goal is for to become a compendium that allows history enthusiasts to virtually experience historical cities around the world, aids researchers, policy makers and educators, and provides a dose of nostalgia to everyday users.

Bird’s eye view of Chelsea, Manhattan with a time slider from 1890 to 1970, crafted from historical photos and maps and using ’s 3D reconstruction pipeline and colored with a preset Manhattan-inspired palette.

Crowdsourcing Data from Historical Maps
Reconstructing how cities used to look at scale is a challenge — historical image data is more difficult to work with than modern data, as there are far fewer images available and much less metadata captured from the images. To help with this difficulty, the maps module is a suite of open source tools that work together to create a map server with a time dimension, allowing users to jump back and forth between time periods using a slider. These tools allow users to upload scans of historical print maps, georectify them to match real world coordinates, and then convert them to vector format by tracing their geographic features. These vectorized maps are then served on a tile server and rendered as slippy maps, which lets the user zoom in and pan around.

Sub-modules of the suite of tools

The entry point of the maps module is Warper, a web app that allows users to upload historical images of maps and georectify them by finding control points on the historical map and corresponding points on a base map. The next app, Editor, allows users to load the georectified historical maps as the background and then trace their geographic features (e.g., building footprints, roads, etc.). This traced data is stored in an OpenStreetMap (OSM) vector format. They are then converted to vector tiles and served from the Server app, a vector tile server. Finally, our map renderer, Kartta, visualizes the spatiotemporal vector tiles allowing the users to navigate space and time on historical maps. These tools were built on top of numerous open source resources including OpenStreetMap, and we intend for our tools and data to be completely open source as well.

Warper and Editor work together to let users upload a map, anchor it to a base map using control points, and trace geographic features like building footprints and roads.

3D Experience
The 3D Models module aims to reconstruct the detailed full 3D structures of historical buildings using the associated images and maps data, organize these 3D models properly in one repository, and render them on the historical maps with a time dimension.

In many cases, there is only one historical image available for a building, which makes the 3D reconstruction an extremely challenging problem. To tackle this challenge, we developed a coarse-to-fine reconstruction-by-recognition algorithm.

High-level overview of ’s 3D reconstruction pipeline, which takes annotated images and maps and prepares them for 3D rendering.

Starting with footprints on maps and façade regions in historical images (both are annotated by crowdsourcing or detected by automatic algorithms), the footprint of one input building is extruded upwards to generate its coarse 3D structure. The height of this extrusion is set to the number of floors from the corresponding metadata in the maps database.

In parallel, instead of directly inferring the detailed 3D structures of each façade as one entity, the 3D reconstruction pipeline recognizes all individual constituent components (e.g., windows, entries, stairs, etc.) and reconstructs their 3D structures separately based on their categories. Then these detailed 3D structures are merged with the coarse one for the final 3D mesh. The results are stored in a 3D repository and ready for 3D rendering.

The key technology powering this feature is a number of state-of-art deep learning models:

  • Faster region-based convolutional neural networks (RCNN) were trained using the façade component annotations for each target semantic class (e.g., windows, entries, stairs, etc), which are used to localize bounding-box level instances in historical images.
  • DeepLab, a semantic segmentation model, was trained to provide pixel-level labels for each semantic class.
  • A specifically designed neural network was trained to enforce high-level regularities within the same semantic class. This ensured that windows generated on a façade were equally spaced and consistent in shape with each other. This also facilitated consistency across different semantic classes such as stairs to ensure they are placed at reasonable positions and have consistent dimensions relative to the associated entry ways.

Key Results

Street level view of 3D-reconstructed Chelsea, Manhattan

Conclusion
With , we have developed tools that facilitate crowdsourcing to tackle the main challenge of insufficient historical data when recreating virtual cities. The 3D experience is still a work-in-progress and we aim to improve it with future updates. We hope acts as a nexus for an active community of enthusiasts and casual users that not only utilizes our historical datasets and open source code, but actively contributes to both.

Acknowledgements
This effort has been successful thanks to the hard work of many people, including, but not limited to the following (in alphabetical order of last name): Yale Cong, Feng Han, Amol Kapoor, Raimondas Kiveris, Brandon Mayer, Mark Phillips, Sasan Tavakkol, and Tim Waters (Waters Geospatial Ltd).


Pew: Most prolific Twitter users tend to be Democrats, but majority of users still rarely tweet


A new study from Pew Research Center, released today, digs into the different ways that U.S. Democrats and Republicans use Twitter. Based on data collected between Nov. 11, 2019 and Sept. 14, 2020, the study finds that members of both parties tweet fairly infrequently, but a majority of Twitter’s most prolific users tend to swing left.

The report updates Pew’s 2019 study with similar findings. At that time, Pew found that 10% of U.S. adults on Twitter were responsible for 80% of all tweets from U.S. adults.

Today, those figures have changed. During the study period, the most active 10% of users produced 92% of all tweets by U.S. adults.

And of these highly active users, 69% identify as Democrats or Democratic-leaning independents.

In addition, the 10% most active Democrats typically produce roughly twice the number of tweets per month (157) compared with the most active Republicans (79).

Image Credits: Pew Research Center

These highly-active users don’t represent how most Twitter users tweet, however.

Regardless of party affiliation, the majority of Twitter users post very infrequently, Pew found.

The median U.S. adult Twitter user posted just once per month during the time of the study. The median Democrat posts just once per month, while the median Republican posts even less often than that.

The typical adult also has very few followers, with the median
Democrat having 32 followers while the median Republican has 21. Democrats, however, tend to follow more accounts than Republicans do, at 126 vs. 71, respectively.

Image Credits: Pew Research Center

The new study additionally examined other differences in how members of the two parties use the platforms, beyond frequency of tweeting.

For starters, it found 60% of the Democrats on Twitter would describe themselves as very or somewhat liberal, compared with 43% of Democrats who don’t use Twitter. Self-identified conservatives on Twitter vs. conservatives not on the platform had closer shares, at 60% and 62%, respectively.

Pew also found that the two Twitter accounts followed by the largest share of U.S. adults were those belonging to former President Barack Obama (@BarackObama) and President Donald Trump
(@RealDonaldTrump).

Not surprisingly, more Democrats followed Obama — 42% of Democrats did, vs. just 12% of Republicans. Trump, meanwhile, was followed by 35% of Republicans and just 13% of Democrats.

Other top political accounts saw similar trends. For instance, Rep. Alexandria Ocasio-Cortez (@AOC) is followed by 16% of Democrats and 3% of Republicans. Fox News personalities Tucker Carlson (@TuckerCarlson) and Sean Hannity (@seanhannity), meanwhile, are both followed by 12% of Republicans but just 1% of Democrats.

Image Credits:

This is perhaps a more important point than Pew’s study indicates, as it demonstrates that even though Twitter’s original goal was to build a “public town square” of sorts, where conversations could take place in the open, Twitter users have built the same isolated bubbles around themselves as they have elsewhere on social media.

Because Twitter’s main timeline only shows tweets and retweets from people you follow, users are only hearing their side of the conversation amplified back to them.

This problem is not unique to Twitter, of course. Facebook, for years, has been heavily criticized for delivering two different versions of reality to its users. An article from The WSJ in 2016 demonstrated how stark this contrast could be, when it showed a “blue” feed and “red” feed, side-by-side.

The problem is being exacerbated even more in recent months, as users from both parties are now exiting mainstream platforms, like Twitter, an isolating themselves even more. On the conservative side, users fled to free speech-favoring and fact check-eschewing platforms like Gab and Parler. The new social network Telepath, on the other hand, favors left-leaning users by aggressively blocking misinformation — often that from conservative news outlets — and banning identity-based attacks.

One other area Pew’s new study examined was the two parties’ use of hashtags on Twitter.

It found that no one hashtag was used by more than 5% of U.S. adults on Twitter during the study period. But there was a bigger difference when it came to the use of the #BlackLivesMatter hashtag, which was tweeted by 4% of Democrats on Twitter and just 1% of Republicans.

Other common hashtags used across both parties included #covid10, #coronavirus, @mytwitteranniversary, #newprofilepic, #sweepstakes, #contest, and #giveaway.

Image Credits: Pew Research Center

It’s somewhat concerning, too, that hashtags were used in such a small percentage of tweets.

While their use has fallen out of favor somewhat — using a hashtag can seem “uncool” — the idea with hashtags was to allow users a quick way to tap into the global conversation around a given topic. But this decline in user adoption indicates there are now fewer tweets that can connect users to an expanded array of views.

Twitter today somewhat addresses this problem through its “Explore” section, highlighting trends, and users can investigate tweets using its keyword search tools. But if Twitter really wants to burst users’ bubbles, it may need to develop a new product — one that offers a different way to connect users to the variety a conversations taking place around a term, whether hashtagged or not.

 

 

 


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Reclaim Disk Space - How to Find the Biggest Files in your Google Drive


Your Google account storage is shared between Gmail, Google Drive, and Google Photos. What do you do when your Google account is running out of storage space? You either buy more storage from Google or the inexpensive option is that you spend some time spring-cleaning your account and delete the emails and files that could be hogging up the storage space.

Recover Spaces in Google Drive

First things first. Go to google.com/settings/storage and click on the “View Details” link to know the total available disk space and see exactly how much storage space is used by the email and drive service.

Gmail offers the size search operator so you can easily find emails that have large attachments and delete them to reclaim space. For instance, a query like size:5MB older_than:1y will show all emails older than a year and that take up more than 5 MB of space in your Google account. See more Gmail search operators

Unlike Gmail, there’s no easy way to find large files by size in Google Drive but there’re some easy workarounds to find the big files in your Google account.

For Gmail accounts

If you have a @gmail Google account, go to one.google.com and click the “review” link under Large Files.

Google Drive Large Files

You’ll get a sorted list view of all files in your Google Drive, sort by size. Select the ones you no longer need and hit the delete button to instantly recover space.

Please note that files deleted from the Storage manage inside Google One are permanently deleted and can no longer be recovered.

For GSuite (Google Workspace) accounts

GSuite is now Google Workspace and, apart from rebranding, Google no longer offers unlimited Drive storage that was earlier available with the GSuite Business plan. The Enterprise plans do not impose any storage limits.

To reclaim space in Google Drive for GSuite accounts, open this link drive.google.com/drive/quota and you’ll get a list of all files in your Google Drive arranged from largest to smallest size

You can remove the files that you no longer need but there’s one extra step. Google Drive will move the files to the trash bin so you’ll have to empty the bin as well to reclaim space.

The Google Drive files list only includes non-native file formats since the native Google files - like Google Documents or Google Sheets - do not take any storage space on your Google Drive.

Tip: Use the Drive Auditor to get a detailed report of all Google Drive files that can be sorted by size in Google Sheets.

Delete App Backups

In addition to binary files, certain apps may be using your Drive Storage for storing files and app settings. You cannot explore the individual files that are stored by apps in your Google Drive but you do have an option to delete the data stored by them in your Drive.

Inside Google Drive, go to settings, and choose Manage Apps. Click the options button against the app name and choose “Delete hidden data”.

Google Drive - Hidden App Data

You may also want to check the Backups section in your Google Drive (google.com/drive/backups) that stores backup of your Android phone, app settings and WhatsApp messages. They take up space as well but Google Drive doesn’t specify the exact size of backups.

Also see: Save Gmail to Google Drive


Snapchat launches its TikTok rival, Sounds on Snapchat


Snapchat this summer announced it would soon release a new music-powered feature that would allow users to set their Snaps to music. Today, the company made good on that promise with the launch of “Sounds on Snapchat” on iOS, a feature that lets users enhance their Snaps with music from curated catalog of both emerging and established artists.

The music can be added to Snaps either pre or post capture, then shared without any limitations. You can post it to your Story or share directly with friends, as you choose.

At launch, the Snapchat music catalog offers “millions” of licensed songs from Snap’s music industry partners, the company says.

When users receive a Snap with Sounds, they can then swipe up to view the album art, the song title, and the name of the artist. There’s also a “Play This Song” link that lets you listen to the full song on your preferred streaming platform, including Spotify, Apple Music and SoundCloud.

This differentiates Snapchat’s music feature from rival TikTok, where a tap on the “sound” takes users to a page in the app that shows other videos using the same music clip. Only some of these pages also offer a link to play the full song, however.

To kick off the launch of the new Snapchat music feature, Justin Bieber and benny blanco’s new song “Lonely” will be offered as an exclusive in Snapchat’s Featured Sounds list today.

“Music makes video creations and communication more expressive, and offers a personal way to recommend music to your closest friends,” notes the company, in announcement about the feature’s launch.

Snap had said in August it would begin testing the new music feature and detailed the deals that made the addition possible.

To power Sounds on Snapchat, the company forged multi-year agreements with major and independent publishers and labels, including Warner Music Group, Merlin (including their independent label members), NMPA, Universal Music Publishing Group, Warner Chappell Music, Kobalt, and BMG Music Publishing.

The move to introduce a music feature is meant to counter the growing threat of the ByteDance-owned TikTok app, which has popularized short-form video sharing with posts set to music from a large catalog.

Though TikTok’s future in the U.S. remains uncertain due to the ever-changing nature of the Trump administration’s TikTok ban (and an election that could upset those plans), it still remains one of the top U.S. apps, with around 100 million monthly active U.S. users as of August. (TikTok is currently engaged in a lawsuit to challenge its ban, so the app remains live today.)

Social media companies have capitalized on the chaos surrounding a possible TikTok U.S. exit to promote their alternatives, like Triller, Dubsmash, Byte, and others, including, of course Instagram Reels.

Snapchat, meanwhile, touts its traction with a younger user base as its new music feature goes to launch.

In the U.S., Snapchat now reaches 90% of all 13-24 year-olds, which the company notes is more than Facebook, Instagram, and Messenger combined. It also reaches 75% of all 13-34 year-olds and, o average, more than 4 billion Snaps are created every day.

The feature is live now on iOS to start.

In other Snapchat music news, the company has partnered with Spotify to launch Spotify’s first Augmented Reality Portal Lens on Snapchat. The Lens allows users to experience a Latinx art gallery, in celebration of Latinx Heritage Month. Snapchat users open the Lens in World view to view art from include Orly Anan, Cristina Martinez, Luisa Salas, Pedro Nekoi, and D’Ana Nunez. The Lens will also raise awareness for Spotify’s Latin Hub in its own app.


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France and the Netherlands signal support for EU body to clip the wings of big tech


The French and Dutch governments have signalled support for EU rules that can proactively intervene against so-called gatekeepers, aka “structuring platforms” or “large digital platforms with significant network effects acting as gatekeepers” — or, more colloquially, ‘big tech’.

They have also called for a single European body with enforcement powers over such platforms — and the ability to audit their algorithms.

Pre-emptive action should intervene prior to the stage where damage becomes irreversible,” French digital minister, Cederic O, and Mona Keijzer, the secretary of state for economic affairs for the Netherlands, write in a joint position paper where they also argue that: “Intervention is justified when the asymmetric bargaining power of structuring platforms leads to negative consequences.”

The two ministers went further in accompanying remarks to the press, with the Financial Times reporting that their support for intervention against big tech’s market muscle includes keeping the option of breaking up companies “on the table” — although their stated preference is for rules that prevent such an “ultimate” step being necessary.

The intervention by two high profile EU Member States comes as the European Commission is working on a major package of pan-EU legislation to update the bloc’s ecommerce rules — including devising a new regime of ex ante rules for so-called ‘gatekeeper’ platforms. 

In recent months press reports have suggested EU lawmakers are considering forcing such platforms to share data with smaller rivals and/or limiting how they can make use of data — such as via strict purpose limitation.

They are also reportedly considering rules to ban self-preferencing and apply conditions on bundling, as well as requiring annual audits of ad metrics and reporting practices.

Although the package remains at the draft stage for now, with the Commission saying only that it’s committed to introduce the Digital Services Act (DSA) by the end of this year.

Commission lawmakers are also eyeing expanded powers for competition regulators to proactively tackle the network effects that can apply in digital markets — and have, in recent weeks, been consulting on a new competition tool for this purpose. 

The French-Dutch intervention thus sends a strong signal of support to the Commission for regulating big tech — and a warning shot against watering down policy measures.

Competition chief and Commission EVP, Margrethe Vestager, who is one of the key lawmakers drafting the DSA, has previously cautioned against breaking up tech giants as a solution to competitive imbalances in digital markets — calling instead for a finer grained regulatory framework which regulates their access to data.

Such an approach would be akin to a structural separation, without the huge legal challenge involved in actually breaking up businesses, is the thinking.

The French-Dutch position paper reflects back many of the ideas the Commission is actively considering, per recent press leaks. So it may be intended to send a message that key Member States are on the same page.

The paper advocates for intervention to apply to platforms that have “considerable market power” in at least one market, while warning against imposing “unnecessary obligations” to platforms without any gatekeeper position.

It also suggests a “platform-by-platform approach” by regulators to determine whether or not a platform is a gatekeeper or not, noting: “It is important to stress that classical methods of market definition cannot always be used effectively in digital markets.”

Platform-specific factors such as the characteristics of the service and the behaviour of users should factor into the analysis of whether it holds a structural position, they also suggest — before again hitting a cautious note and urging that “a right balance” be struck between a platform-specific analysis and “the need for a reasonable level a legal certainty”.

Interventions should also be ‘case-by-case, flexible and proportionate’ in their view — with the pair suggesting regulatory authorities be empowered to “impose tailor-made remedies to a structuring platform”.

“Proportionate intervention is needed to preserve the benefits of platforms whilst enhancing competition. Too heavy-handed an intervention would hamper innovation,” they warn.

They also voice support for gatekeepers to be subject to a set of “principle-based obligations and prohibited practices” — and recent press reports have also suggested EU lawmakers are considering a laundry list of obligations and conditions on gatekeepers.

“The full set of behavioural obligations could be widened to the whole ecosystem of the platform to tackle the risks stemming from its gatekeeper position on a number of neighbouring markets (leveraging). Also, it could be adjusted over time, in light of the evolution of the business environment. The measures could be either eased or tightened depending on the actual evolution of these conditions,” they further suggest.

Among the “possible behavioral measures” listed in the position paper are beefing up the right to portability (which EU users’ already enjoy under the GDPR); rules to ensure fair contracts (and unfair contract clauses have already attracted EU antitrust enforcement action in the case of, for example, Google Android); a ban on what they describe as “disruptive” self-preferencing; and a stop on platforms yanking third party access (e.g. to APIs or data) — “without objective justification” (the EU has already agreed on some fairness and transparency rules for general ecommerce).

The position paper also voices support for access obligations — such as obligations to share data; provide interoperability; and/or proactively offer alternatives to users — as a potential intervention to ensure market openness, while cautioning of the need to properly investigate ‘pros and cons’ before such enforcement.

On sanctions for infringements, the French and Dutch ministers urge “significant enough” penalties that platforms are effectively deterred from breaking rules, i.e. rather than being able to factor them in as a line of business cost (as now).

The level of these fines or other sanctions should be significant enough to ensure the effectiveness of the rules at stake by deterring the platform from breaking them. The requirement of an efficient and deterrent mechanism of sanctions is all the more important here since any breach of the rules would be likely to induce serious and irreversible harm,” they write. 

On enforcement, the paper calls for a single “European body” outfitted with “proper tools” — including “broad investigation, audit and monitoring powers, and the ability to audit algorithms” — to be entrusted with enforcing the new regulations. 

That would mark a step-change from the EU’s data protection framework (GDPR), where responsibility for enforcement is decentralized to a patchwork of under-resourced local/national data protection agencies. Critics maintain the pace of GDPR enforcement in complex, cross-border cases against big tech is too slow to be effective. A two-year review of the regulation by the Commission this summer also found a general lack of uniformly vigorous enforcement.

That stands as a warning signal to EU lawmakers shaping the next generation of digital regulations that very careful attention needs to be paid to ensuring effective enforcement.


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Best Methods to Rank Your Website Higher


People always use search engines to find what they are looking for in today’s digital world since it is easy and efficient. Now, it is vital for businesses and brands to have a strong online presence to connect with their audiences. Google and other search engines have various algorithms that are designed to show the […]

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