Tinder’s interactive video event ‘Swipe Night’ will launch in international markets this month

Tinder’s “Swipe Night” is going global. The dating app announced today that its interactive video series will be available in Asia and other international markets starting on September 12, giving users another way to connect as they continue to stay at home because of the COVID-19 pandemic.

As in the United States, where “Swipe Night” first launched last October, the international version of “Swipe Night” will be broadcast on the weekend. For audiences outside the U.S., three consecutive episodes are planned, starting with the first one on September 12 from 10 a.m. to midnight, and airing on consecutive Saturdays at the same time.

Similar to Netflix’s “Black Mirror: Bandersnatch” and other interactive entertainment, “Swipe Night” presents viewers with a “choose-your-own-adventure” narrative, but each of its episodes is only seven minutes long and users’ choices are added to their profile, giving them another way to figure out if someone is a good match.

“Swipe Night” is not the first in-app event that Tinder has introduced over the past couple of years to increase user engagement as it competes with other dating apps for younger users. Other examples, held last year before the pandemic, included Spring Break mode and Festival Mode, which helped members in the United States find other people who were headed to the same vacation destinations or events.

Now that COVID-19 has made in-person meetups less safe, “Swipe Night” has become an important part of Tinder’s business strategy as it, and its competitors, focus on organizing more virtual events and hangouts. In today’s announcement, Tinder said during stay-at-home orders and social distancing, 52% more messages have been sent through the app globally, peaking on April 5, and “swipe volume” by users under 25 (or “Gen Z”) increased by 34%.

As a user engagement experiment, “Swipe Night” proved successful enough in the U.S. to warrant a second season even before stay-at-home orders started there. When it launched last fall, Tinder’s monthly usage was climbing, but users were opening the app less on a daily basis. By the time Tinder announced the second season of “Swipe Night” in February, Tinder said millions of users had tuned into the series and matches and conversations had increased by 26% and 12%, respectively.

“When lockdowns began, we saw an immediate increase in our members’ engagement on Tinder, so we know we play an important role in their stay-at-home experience. While the global health crisis continues, we believe ‘Swipe Night’ can bring a welcome change of pace to our members around the world,” said Tinder chief executive officer Jim Lanzone in today’s announcement.

Now Tinder will find out if audiences in the rest of the world, where its competes with a large roster of other dating apps, will respond to “Swipe Night” with the same level of enthusiasm. Tinder doesn’t break down its member numbers by country, but its APAC head of communications Papri Dev told TechCrunch that more than 50% of its members worldwide are Gen Z, the main audience for “Swipe Night,” and storylines are designed to provoke conversations.

“Having a high stakes story such as an apocalyptic themed event, felt like a strong forcing mechanism to make your choices or decisions really count,” she said. “Our members who are stuck at home are hungry for content, and based on what we’ve seen take off on other platforms, people seem to be open to a wide range of tones and topics. So we wanted to make Swipe Night available to our members in Asia, and around the world, as soon as we felt it would be appropriate.”

Content in Asian markets including Korea, Taiwan, Japan, Thailand, Vietnam and Indonesia will have subtitles in local languages.

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4 steps to ending extreme poverty | Shameran Abed

4 steps to ending extreme poverty | Shameran Abed

At least 400 million people worldwide live in ultra-poverty: a state of severe financial and social vulnerability that robs many of hope and dignity. At BRAC, an international development organization focused on fighting poverty, Shameran Abed and his team have developed a sustainable, multi-faceted program that has already helped millions lift themselves out of poverty and create lives full of possibility. Learn more about their audacious plan to partner with governments to bring this life-changing program to an additional 21 million people in the next six years. (This ambitious plan is a part of the Audacious Project, TED's initiative to inspire and fund global change.)

https://ift.tt/32Siysw

Click this link to view the TED Talk

Peloton said to be launching new, cheaper treadmill and higher-end stationary smart bike

Peloton is reportedly getting ready to add to its product lineup with two new products at either end of its pricing spectrum, according to Bloomberg. The workout tech company is planning both a cheaper, entry-level smart treadmill, and a higher-end version of its stationary exercise bike, with an announcement set to take place as early as sometime next week in time for its quarterly financial earnings.

The new products would come alongside a price drop for its existing exercise bike, to a price point under $1,900 according to the report. While the new ‘Bike+’ will retail for more than the current price of the existing model, the price drop will help Peloton stoke the high demand for its products resulting from the closure of gyms and social distancing measures instituted in response to the COVID-19 pandemic.

Peloton’s new ‘Tread’ treadmill will retail for under $3,000, according to Bloomberg’s sources, which is a considerable discount vs. the $4,295 asking price for the existing model. That one will remain on sale as a premium offering, and the new version will reportedly more closely resemble a traditional home treadmill in terms of materials and construction, allowing for the cheaper asking price.

The new, upscale Bike+ model will also reportedly feature a repositionable smart display, which will help it serve as the centerpiece of a more comprehensive home gym that includes strength training and other kinds of guided workouts. Peloton’s hardware products are what helped distinguish it in the exercise market, but it has built another strong business on subscription plans and app-guided workouts, which are available with or without its home gym equipment.

The new treadmill will likely go to market before the upgraded smart bike, in terms of availability, according to the report. Peloton’s main blocker for customer base expansion is probably its relatively high point of entry, in terms of its in-house hardware, so that makes a lot of sense if the company is looking to capitalize on general consumer appetite for at-home fitness solutions during the COVID-19 crisis.

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Qualcomm-powered Chinese XR startup Nreal raises $40 million

Nreal, one of the most-watched mixed reality startups in China, just secured $40 million from a group of high-profile investors in a Series B round that could potentially bring more adoption to its portable augmented headsets.

Kuaishou, the archrival to TikTok’s Chinese version Douyin, led the round, marking yet another video platform to establish links with Nreal following existing investor iQiyi, China’s own Netflix. Like other major video streaming sites around the world, Kuaishou and iQiyi have dabbled in making augmented reality content, and securing a hardware partner will no doubt be instrumental to their early experiments.

Other backers in the round with plentiful industry resources include GP Capital, which counts state-owned financial holding group Shanghai International Group and major Chinese movie studio Hengdian Group as investors; CCEIF Fund, set up by state-owned telecom equipment maker China Electronics Corporation and state-backed investment bank China International Capital Corporation; GL Ventures, the early-stage fund set up by prominent private equity firm Hillhouse Capital; and Sequoia Capital China.

That’s not it. In early 2019, Nreal brought onboard Xiaomi founder’s venture fund Shunwei Capital for its $15 million Series A funding. As I wrote at the time, AR, VR, MR, XR — whichever marketing coinage you prefer — will certainly be a key piece in Xiaomi’s Internet of Things empire. It’s not hard to see the phone titan sourcing smart glasses from Nreal down the road.

The other key partner of Nreal, a three-year-old company, is Qualcomm. The chipmaker has played an active part in China’s 5G rollout, powering major Chinese phone makers’ next-gen handsets. It supplies Nreal with its Snapdragon processors, allowing the startup’s lightweight mixed reality glasses to easily plug into an Android phone.

“Its closer partnership with Qualcomm will allow it to access Qualcomm’s network of customers including telecoms companies,” Seewan Toong, an industry consultant on AR and VR, told TechCrunch.

Indeed, the mixed reality developer has already signed a deal with Japanese telco KDDI and in Korean, it’s working with LG’s cellular carrier LG Uplus Corp.

The latest round brings Nreal’s total raise to more than $70 million and will accelerate mass adoption of its mixed reality technology in the 5G era, the company said.

It remains to be seen how Nreal will live up to its promise, secure users at scale, and move beyond being a mere poster child for tech giants’ mixed reality ambitions. So far its deals with big telcos are in a way reminiscent of that of Magic Leap, which has been in a legal spat with Nreal, though the Chinese company appears to burn through less cash so far. The troubled American company is currently pivoting to relying on enterprise customers after failing to crack the consumer market.

“Nreal is patient and not in a rush to show they can start selling high volume. It’s trying to prove that there’s a user scenario for its technology,” said Toong.

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Google pushes Europe to limit ‘gatekeeper’ platform rules

Google has made its pitch to shape the next decades of digital regulation across the European Union, submitting a 135-page response yesterday to the consultation on the forthcoming Digital Services Act (DSA) — which will update the bloc’s long-standing rules around ecommerce.

The package also looks set to introduce specific rules for so-called “gatekeeper platforms” which wield outsized market power thanks to digital network effects. Hence Mountain View’s dialled-up attention to detail.

The lion’s share of Google’s submission focuses on lobbying against the prospect of ex ante regulation for such platform giants — something the European Commission has nonetheless signalled is front of mind as it looks at how to rein in platform power.

This type of regulation intervention aims to identify competitive problems and shape responses ‘before the event’ via the application of obligations on players who hold significant market power vs after the fact competition enforcement when market harm has been established.

“A blanket approach to ex ante competition regulation could have unintended consequences on user experience as well as multiplying costs for European businesses,” it writes, urging lawmakers to take a long, hard look at existing regulation to see if it’s not able to do the job of ensuring markets are “working properly”.

“Where the evidence shows meaningful gaps, the next step ought to be to consider how one can modernise those existing rules and procedures to address the underlying concerns before turning to consideration of new and distinct regulatory frameworks,” it adds.

If EU lawmakers must go ahead with ex ante regulation of platforms giants, Google — an adtech giant — is especially keen that they do not single out any specific business models. So it definitely wouldn’t be a fan of ex ante regs applied only to surveillance-fuelled ad-targeting platforms. Funny that. 

“The criteria for identifying ‘gatekeeper power’ should be independent of the particular business model that a platform uses, making no distinction as between platforms that operate business models based on advertising, subscriptions, sales commissions, or sales of hardware,” Google writes.

“Digital platforms often operate using different business and monetization strategies, across multiple markets, geographies, and sectors, with varying degrees of competitive strength in each. Regulators should not favor or discriminate against any business, business model, or technology from the outset,” it goes on.

“In certain sectors, the platform may have market power; in others, it may be a new entrant or marginal player. The digital ecosystem is extremely diverse and evolving rapidly and it would be misguided for gatekeeper designations to be evaluated by reference to the position of an entire company or corporate group.”

Nor should lawmakers opt for what Google dubs “an overly simplistic” assessment of what constitutes a gatekeeper — giving the example of number of users as an inadequate way to determine whether a platform giant has significant market power in a given moment. (Relevant: Google market share of search in Europe exceeds 90%.)

“Recent competition enforcement demonstrates the range of platforms that have been found to have market power (e.g., Microsoft, Google, Facebook, Amazon, and Apple) and other platforms may be found to have market power in the future (borne out, for example, by the UK CMA’s investigation into online auction platform services),” it writes. “The gatekeeper assessment should therefore recognize that a range of platforms — operating a range of different business models (e.g., ad-funded, subscription-based, commission-based, hardware sales) — may hold ‘market power’ in different circumstances and vis-à-vis different platform participants.”

The tech giant can also be seen pushing a familiar talking point when its business is accused of profiting, parasitically, off of others’ content — by suggesting that when regulators are assessing whether a platform is a gatekeeper or not by considering the economic dependence of traditional businesses on a limited number of online platforms they should look favorably on those platforms “through which a materially significant proportion of business (e.g. in the form of highly valuable traffic) is channeled”.

But of course it would say that clicks are just as good as all the ad dollars it’s making.

Google is also pushing for regular review of any gatekeeper designations to ensure any obligations keep pace with fast-moving markets and competition shifts (it points to the recent rise of TikTok by way of example).

It also doesn’t want gatekeeper designations to apply universally across all markets — arguing instead they should only apply in the specific market where a platform is “found to have ‘gatekeeper’ power”.

“Large digital platforms tend to operate across multiple markets and sectors, with varying degrees of competitive strength in each,” Google argues, adding that: “Applying ex ante rules outside these markets would create a risk of deterring pro-competitive market entry through excessive regulation, thereby depriving SMEs and consumers of attractive new products.”

That would stand in contrast to the EU’s modus operandi around competition law enforcement — where a business that’s been judged to be dominant in one market (like Google is in search) has what competition chief Margrethe Vestager likes to refer to as a “special responsibility” not to abuse its market power to leverage that advantage in any other market, not only the one it’s been found to hold most of the market power.

At the same time as Google is lobbying for limits on any gatekeeper designations, the tech giant wants to see certain types of rules applied universally to all players. Here it gives the examples of privacy, transparency (such as for fees) and ranking decisions.

Data portability is another area it’s urging rules to be applied industry-wide.

It also wants to see any online ad rules applied universally, not just to gatekeeper platforms. But it’s also very keen for hard limits on any such rules.

“It will be important that any interventions seeking to achieve more transparency and accountability are carefully designed to avoid inadvertently hampering the ability of online advertising tools to deliver the value that publishers and advertisers have come to expect,” the adtech giant writes, lobbying to reduce the amount of transparency and accountability set down in law by invoking claims of privacy risks to user data; threats to commercial IP; and ‘bad actors’ gaming the system if it’s not allowed to continue being (an ad-fraud-tastic) blackbox.

“Consideration of these measures will therefore require the balancing of factors including protection of users’ personal data and partners’ commercially sensitive information, and potential harm to users and competition through disclosure of data signals that allow ‘bad actors’ to game the system, or rivals to copy innovations. We stand ready to engage with the Commission on these issues,” Google intones.

On updating ecommerce rules and liability — which is a stated aim of the DSA plan — Google is cautiously supportive of regulatory changes to reflect what it describes as “the digital transformation of the last two decades”. While pushing to retain core elements of the current e-Commerce Directive regime, including the country-of-origin principle and freedom to provide cross-border digital services. 

For example it wants to see more expansive definitions of digital services, to allow for more specific rules for certain types of businesses — pushing for a move away from the ‘active’ and ‘passive’ hosts distinction for platforms, to enable them to respond more proactively in a content moderation context without inviting liability by doing so, but suggesting hosting services may be better served by retaining the current regime (Article 14 of the e-Commerce Directive).

On liability for illegal content it is lobbying for see clear lines between illegal material and what’s “lawful-but-harmful”.

“Where Member States believe a category of content is sufficiently harmful, their governments may make that content illegal directly, through democratic processes, in a clear and proportionate manner, rather than through back-door regulation of amorphously-defined harms,” it writes.

It also wants the updated law to retain the general prohibition on content monitoring obligations — and downplays the potential of AI to offer any ‘third way’ there.

“While breakthroughs in machine learning and other technology are impressive, the technology is far from perfect, and less accurate on more nuanced or context-dependent content. Their mandated use would be inappropriate, and could lead to restrictions on lawful content and on citizens’ fundamental rights,” Google warns. “The DSA can help prevent risks to fundamental rights by ensuring that companies are not forced to prioritise speed of removal over careful decision-making,” it adds, saying it encounters “many grey-area cases that require appropriate time to evaluate the law and context”.

“We remain concerned about recent laws that enable imposition of large penalties if short, fixed turn-around times are not met,” it goes on, pointing to a recent ruling by the French Constitutional Council which struck down an online hate speech law on freedom of expression grounds.

“Any new standard should safeguard fundamental rights by ensuring an appropriate balance between speed and accuracy of removal,” Google adds.

You can read its full submission — including answers to the Commission’s questionnaire — here.

The Commission’s DSA consultation closes on September 8. EU lawmakers have previously said they will come forward with a draft proposal for the new rules by the end of the year.

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An IPO expert bats back at the narrative that traditional IPOs are for ‘morons’

Lise Buyer has been advising startups on how to go public for the last 13 years through her consultancy, Class V Group. She built the business after working as an investment banker, and then as a director at Google, where she helped architect the company’s famously atypical 2004 IPO.

It’s perhaps because Google’s offering was so misunderstood that Buyer has come to think more highly of traditional IPOs over the years, likening herself to a golf caddie who has “played the course a whole lot of times” and can tell a management team what will happen in different circumstances.

Indeed, while Buyer says she is “paid the same regardless” of whether a team chooses a regular IPO, an auction model, a SPAC or a direct listing, she doesn’t believe the world needs direct listings or SPACs nearly as much as the investors forming them have made it seem. Rather, she thinks the traditional IPO process has been unfairly maligned in recent years, perhaps helped along by an outraged Bill Gurley. (If you somehow missed it, the famed VC began pushing back very publicly on IPOs last year, calling them a “bad joke” that helped enrich banks’ favored clients at the expense of new issuers.)

Certainly, it irks Buyer that companies that choose the traditional route have been made out more recently to be “morons” that are taken advantage of by the investment banks that underwrite their deals.

“It’s so much more nuanced than that,” she says. “It’s a little pathetic that the conversation has evolved the way it has.”

What is it about these discussions that do not ring true to her? Primarily, she says, these first-day “pops” are sanctioned by management teams. “It’s not up to Bill Gurley to choose the right price,” she says. It “isn’t just bankers [who] come in and say, ‘We think you’re worth $40 [per share] you’re going to sell at $20 [per share]. Have have it.” It is “up to the management team, which generally has to think about much more than just day one. Some want a pop, some don’t. It’s their call.”

Buyer points to the videoconferencing company Zoom, whose shares soared 72% on the day of its April IPO last year (and have kept surging through this pandemic). CEO Eric Yuan and the executive suite he’d built “knew the stock was going to jump” and agreed to the stock’s pricing anyway, believes Buyer.  They wanted to set realistic, achievable expectations, rather than begin racing to meet inflated ones.

Management “doesn’t want to be on the hook just because the market is temporarily willing to pay something astronomical — in many cases by people who really don’t understand the fundamentals,” she says. Otherwise, she continues, “when three months later the company comes out with a forecast that doesn’t match [those] crazy expectations, management has to live with that for very long time.”

Similarly, Buyer highlights the software company Bill.com, which saw its shares jump 60% on the day of its IPO this past December.  While there might have been hand-wringing over money left on the table, she thinks it was the right move and one for which the company was quickly rewarded.

“With Bill.com, management knew that demand dramatically outstripped supply and they could have priced that deal significantly higher,” she says. They didn’t raise their shares pricing because they didn’t want to “message anything unusual about Wall Street,” she continues, but also the company already had in mind its secondary stock sale. Indeed, in June, with Bill.com’s business accelerating and its shares ticking upward, management sold a much larger percentage of the company — at a much higher price.

One could argue the company benefited unexpectedly from the pandemic, as have many software businesses. Buyer sees it differently, though. “Because they’d previously established a good rapport and trust with investors with that lower priced IPO, such that they were able to raise so much more money and take less dilution four months later, who’s to say they made a mistake [on opening day], giving the public pension funds a little bit of a jump?”

Whether one of the most highly anticipated IPOs of the year — Airbnb — chooses a traditional path for some of these same reasons should become apparent soon enough. It was reported by Bloomberg just today that the company rebuffed a takeover by the SPAC of hedge fund billionaire Bill Ackman in favor of a traditional IPO.

In the meantime, the accommodations giant is far from alone in having to decide right now on the best way forward for its business.

SPACs in particular are increasingly capturing the imagination of founders and investors alike. Says Buyer of her own clients, “There are folks who were not considering a SPAC six weeks ago who are getting tapped on the shoulder now and are trying to evaluate the specific terms — and the specific trade-offs — of these potential merger-partner-slash acquirers.”

As for direct listings — which have been lauded as a less expensive way to go public and, per an SEC order last week, will enable companies to raise money as they are making that shift — Buyer isn’t exactly on the fence when it comes to these, either.

“With a direct listing that includes a primary raise, it will be interesting to see if the company engages underwriters as opposed to advisors, and therefore if the expenses are lower – or perhaps even higher – than [with] an IPO. It could be either, we just don’t know yet.

“Again,” Buyer adds, “I have no horse in the hunt. I just see this as a solution desperately in search of an actual, as opposed to drummed-up, problem.”

(If you’re interested in hearing this conversation in its entirety, we recorded a podcast of it; you can listen in here.)

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How To Change Focus Mode Background Color/Theme In Office Word

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Do you love the Focus mode in the Office Word program? Want to change the Focus mode background color or theme but unable to do so? In this guide, we will see what Focus mode is and how to change its background color. What is Focus mode in Office Word? Focus mode is a built-in […]

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What is the Link Between Investors and Tech Development?

The link between investors and tech development is more important than people might first think. In many ways, investors help to drive this sector forward with their money and expertise. Let’s take a look at some of the ways they can help developers and entrepreneurs. The Exchange of Expertise Investments aren’t always strictly about the […]

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Want To Get Into ‘Hardcore’ Gaming? Here’s How:

Amongst all the means of entertainment in the present-day world, gaming stands as one of or the most popular. Whether you are talking about the hugely time-intensive role-playing games or the casual games that are played on mobile devices, every type of gamer will always have something to satisfy their gaming desire. Some enthusiasts own […]

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Facebook to warn third-party developers of vulnerable code

Facebook has announced a policy change that will see the company notify third-party developers if it finds a security vulnerability in their code.

Facebook said it “may occasionally find” critical bugs and vulnerabilities in third-party code and systems, in a blog post announcing the change. “When that happens, our priority is to see these issues promptly fixed, while making sure that people impacted are informed so that they can protect themselves by deploying a patch or updating their systems.”

Facebook has previously notified third-party developers of vulnerabilities, but the policy shift formally codifies the company’s policy towards disclosing and revealing security vulnerabilities.

Vulnerability disclosure programs, or VDPs, allow companies to set the rules of engagement for finding and disclosing security bugs. VDPs also help guide the disclosure and publication of vulnerabilities once a bug is fixed. Companies often use a bug bounty to pay hackers who follow the company’s reporting and disclosure rules.

The policy change is not entirely altruistic. Facebook, like many other tech companies, rely on a ton of third-party code and open-source libraries. But by putting the change in writing, it also puts third-party developers on notice if they don’t fix vulnerabilities in a timely fashion.

Casey Ellis, founder and chief technology officer at vulnerability disclosure platform Bugcrowd, said the policy shift was becoming increasingly popular for companies with a “large, user-centric, third-party attack surface,” and echoes similar efforts by Atlassian, Google, and Microsoft.

Facebook said when it finds a vulnerability, it will give third-party developers 21 days to respond to report and 90 days to fix the issues, a widely accepted timeframe to report and remediate security issues. The company says it will make a reasonable effort to find the right contact for reporting a vulnerability including, but not limited to, emailing security reporting emails, filing bugs without confidential details in bug trackers, or filing support tickets. But the company said it reserves the right to disclose sooner if the vulnerability is actively being exploited by hackers, or delay its disclosure if it’s agreed that more time is needed to fix an issue.

Facebook said it will generally sign an non-disclosure agreement (NDA) specific to the security issues it reports.

Katie Moussouris, founder of Luta Security, told TechCrunch that the “devil will be in the details.”

“The test will be the first time they have to pull the trigger and drop a zero-day — with mitigation guidance — on a competitor,” she said, referring to unpatched vulnerabilities where companies have zero days to patch them.

The new policy is focused specifically on how Facebook handles disclosure of issues in third-party code. If researchers find a security vulnerability on Facebook, or within its family of apps, they will continue to report it through the existing Bug Bounty Program.

As part of the policy change, Facebook said it would also disclose vulnerabilities once they are fixed. In a separate blog post, Facebook, which owns WhatsApp, disclosed six vulnerabilities in the messaging app — since fixed.

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Twitter and Facebook wrestle with Trump telling Americans to vote twice

President Trump’s recent suggestion that North Carolina voters should cast multiple ballots has run afoul of Twitter’s election integrity rules. In a series of tweets Thursday morning, the president elaborated on previous statements in which he encouraged Americans to vote twice to “check” vote-by-mail systems.

Trump made the initial comments in a local television interview Wednesday. “They will vote and then they are going to have to check their vote by going to the poll and voting that way because if it tabulates then they won’t be able to do that,” Trump said.

“So let them send it in, and let them go vote. And if the system is as good as they say it is, then they obviously won’t be able to vote.”

Twitter added a “public interest notice” to two tweets related to those comments Thursday, citing its rules around civic and election integrity. The tweets violated the rules “specifically for encouraging people to engage in a behavior that could undermine the integrity of their individual vote,” according to Twitter spokesperson Nick Pacilio. Twitter has limited the reach of those tweets and restricted its likes, replies and retweets without comment.

Trump’s latest attack on vote-by-mail also crossed a line for Facebook. The company will remove any video of Trump’s recent voting comments that are shared without context or those that support the president’s statements, though it has yet to identify any so far.

“This video violates our policies prohibiting voter fraud and we will remove it unless it is shared to correct the record,” Facebook Policy Communications Director Andy Stone said.

Facebook added its own fact-checking notice to the same statement that Twitter deemed in violation of that platform’s rules. Now, a label at the bottom of Trump’s Facebook post contradicts the president’s suggestion that Americans try to vote twice to make sure “the mail in system worked properly.”

The fact-checking label, which reads “Voting by mail has a long history of trustworthiness in the US and the same is predicted this year,” is more specific than the generic voting info label the platform attaches to other election-related content.

The president’s comments were his latest attempt to cast doubt on the vote-by-mail systems that the U.S. will rely on in November’s election. In recent months, Trump has made many unfounded or outright false claims criticizing the safety of mail-in voting, a system that the U.S. already relies on for absentee voting. As November gets closer, those claims have voting rights organizations concerned.

“While this is a step in the right direction, the fact remains that Facebook refuses to enforce its own Terms of Use where Donald Trump is concerned,” VoteAmerica founder Debra Cleaver said.

“Yesterday, Trump outright urged voters in North Carolina to commit voter fraud. This is part of a larger and dangerous pattern of Trump using social media and other platforms to distribute disinformation, with what appears to be the goal of undermining faith in US elections.”

While the COVID-19 crisis means that more Americans than ever will be using mail-in voting to cast a ballot, the voting method is widely regarded as safe and reliable by experts.

In response to Trump’s remarks, North Carolina’s Board of Elections issued a statement clarifying that voting twice is a Class I felony in the state.

“It is illegal to vote twice in an election,” said Karen Brinson Bell, executive director of the North Carolina State Board of Elections.

“… Attempting to vote twice in an election or soliciting someone to do so also is a violation of North Carolina law.”

Facebook to block new political ads 1 week before Nov 3, adds more tools and rules for fair elections

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How a wrongful death case can help families financially

Having to deal with the loss of a loved one is never easy. As family members and other loved ones go through a range of emotions as they grieve. In the cases where families are not just having to cope with the reality that their loved one is no longer with them, but their new […]

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How to Keep Your Online Gambling Account Secure

Today, the Internet has made it easy to perform day-to-day tasks, like paying off credit card balances or ordering takeout, from the comfort of our own homes in a streamlined and very efficient way. But when we divulge our personal and financial information to a company online, we take a risk, however small, that our details could […]

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Amazon launches an Alexa service for property managers

Amazon wants to bring Alexa to property managers. The company this morning launched a new service, Alexa for Residential, that aims to make it easier for property managers to set up and maintain Alexa-powered smart home experiences in their buildings, like condos or apartment complexes. At launch, IOTAS, STRATIS and Sentient Property Services will be among the first smart home integrators to use the Alexa for Residential service.

The idea is to make Alexa a tool for smart home management, even for those without their own Amazon account. The way the service works, new residents won’t have to purchase their own device or set anything up to get started. Instead, they can just speak to Alexa to control the various smart home features available at their residence and use basic Alexa features. like timers, alarms or getting information like news and weather.

Property managers can choose to create custom Alexa skills for each unit, allowing the residents to submit maintenance requests, make amenity reservations or even pay their rent via Alexa.

If the residents have their own Amazon account, they can go through a few steps to link it to their in-home Echo device. Once linked, the residents would then be able to use Alexa’s full range of features, including the ability to listen to music playlists or call friends and family from the Alexa device, for example.

The property manager would have no access to the customer’s personal data, in this case — it would be as if the customer had set up their own Alexa device. In addition, the resident’s voice recordings are deleted on a daily basis under the new service.

However, when the resident’s lease is up or they move out, the service allows property managers to remotely reset the device to the default settings to be ready for the next resident, without disrupting the device’s existing configurations for smart home management.

The launch sees Amazon further investing in a market which would allow it to expand Alexa’s footprint without having to increase direct sales of Echo devices to consumers.

Amazon has worked on partnerships in this area before, having teamed up in November 2018 with Zego, now a subsidiary of PayLease, to roll out Alexa smart home devices to 30,000 apartments. Also in 2018, RedAwning partnered with Amazon to launch property management tools, enabled by Amazon’s Alexa for Hospitality service, originally aimed at hotels. Vacation rentals have leveraged Alexa in their own properties for similar integrations, too, as have senior living centers. There are also independent smart home technology platforms aimed at property managers and Alexa skills designed for this space.

More broadly, Amazon has rolled out other services and announced partnerships that could scale Alexa use in homes through B2B deals, as with its 2018 launch of Alexa for Hospitality or its deal with home builders, like Lennar, to integrate devices in their new construction. The success of these efforts have been hit or miss, as some felt shared devices raise privacy concerns and other deployments have been badly managed. 

Amazon is pitching the idea for this latest service as a way for property managers to increase revenues, however. The company cited National Apartment Association data which said 84% of renters want an apartment with smart home amenities and 61% said they would pay a monthly fee for a voice assistant. That data, of course, may not reflect the current economy where the coronavirus pandemic has led to widespread unemployment and has wreaked havoc on the economy. Alexa devices — and an extra fees for their use — may now be seen as more of a luxury, not a necessity.

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The Technology Behind our Recent Improvements in Flood Forecasting

Posted by Sella Nevo, Senior Software Engineer, Google Research, Tel Aviv

Flooding is the most common natural disaster on the planet, affecting the lives of hundreds of millions of people around the globe and causing around $10 billion in damages each year. Building on our work in previous years, earlier this week we announced some of our recent efforts to improve flood forecasting in India and Bangladesh, expanding coverage to more than 250 million people, and providing unprecedented lead time, accuracy and clarity.

To enable these breakthroughs, we have devised a new approach for inundation modeling, called a morphological inundation model, which combines physics-based modeling with machine learning (ML) to create more accurate and scalable inundation models in real-world settings. Additionally, our new alert-targeting model allows identifying areas at risk of flooding at unprecedented scale using end-to-end machine learning models and data that is publicly available globally. In this post, we also describe developments for the next generation of flood forecasting systems, called HydroNets (presented at ICLR AI for Earth Sciences and EGU this year), which is a new architecture specially built for hydrologic modeling across multiple basins, while still optimizing for accuracy at each location.

Forecasting Water Levels
The first step in a flood forecasting system is to identify whether a river is expected to flood. Hydrologic models (or gauge-to-gauge models) have long been used by governments and disaster management agencies to improve the accuracy and extend the lead time of their forecasts. These models receive inputs like precipitation or upstream gauge measurements of water level (i.e., the absolute elevation of the water above sea level) and output a forecast for the water level (or discharge) in the river at some time in the future.

The hydrologic model component of the flood forecasting system described in this week’s Keyword post doubled the lead time of flood alerts for areas covering more than 75 million people. These models not only increase lead time, but also provide unprecedented accuracy, achieving an R² score of more than 99% across all basins we cover, and predicting the water level within a 15 cm error bound more than 90% of the time. Once a river is predicted to reach flood level, the next step in generating actionable warnings is to convert the river level forecast into a prediction for how the floodplain will be affected.

Morphological Inundation Modeling
In prior work, we developed high quality elevation maps based on satellite imagery, and ran physics-based models to simulate water flow across these digital terrains, which allowed warnings with unprecedented resolution and accuracy in data-scarce regions. In collaboration with our satellite partners, Airbus, Maxar and Planet, we have now expanded the elevation maps to cover hundreds of millions of square kilometers. However, in order to scale up the coverage to such a large area while still retaining high accuracy, we had to re-invent how we develop inundation models.

Inundation modeling estimates what areas will be flooded and how deep the water will be. This visualization conceptually shows how inundation could be simulated, how risk levels could be defined (represented by red and white colors), and how the model could be used to identify areas that should be warned (green dots).

Inundation modeling at scale suffers from three significant challenges. Due to the large areas involved and the resolution required for such models, they necessarily have high computational complexity. In addition, most global elevation maps don’t include riverbed bathymetry, which is important for accurate modeling. Finally, the errors in existing data, which may include gauge measurement errors, missing features in the elevation maps, and the like, need to be understood and corrected. Correcting such problems may require collecting additional high-quality data or fixing erroneous data manually, neither of which scale well.

Our new approach to inundation modeling, which we call a morphological model, addresses these issues by using several innovative tricks. Instead of modeling the complex behaviors of water flow in real time, we compute modifications to the morphology of the elevation map that allow one to simulate the inundation using simple physical principles, such as those describing hydrostatic systems.

First, we train a pure-ML model (devoid of physics-based information) to estimate the one-dimensional river profile from gauge measurements. The model takes as input the water level at a specific point on the river (the stream gauge) and outputs the river profile, which is the water level at all points in the river. We assume that if the gauge increases, the water level increases monotonically, i.e., the water level at other points in the river increases as well. We also assume that the absolute elevation of the river profile decreases downstream (i.e., the river flows downhill).

We then use this learned model and some heuristics to edit the elevation map to approximately “cancel out” the pressure gradient that would exist if that region were flooded. This new synthetic elevation map provides the foundation on which we model the flood behavior using a simple flood-fill algorithm. Finally, we match the resulting flooded map to the satellite-based flood extent with the original stream gauge measurement.

This approach abandons some of the realistic constraints of classical physics-based models, but in data scarce regions where existing methods currently struggle, its flexibility allows the model to automatically learn the correct bathymetry and fix various errors to which physics-based models are sensitive. This morphological model improves accuracy by 3%, which can significantly improve forecasts for large areas, while also allowing for much more rapid model development by reducing the need for manual modeling and correction.

Alert targeting
Many people reside in areas that are not covered by the morphological inundation models, yet access to accurate predictions are still urgently needed. To reach this population and to increase the impact of our flood forecasting models, we designed an end-to-end ML-based approach, using almost exclusively data that is globally publicly available, such as stream gauge measurements, public satellite imagery, and low resolution elevation maps. We train the model to use the data it is receiving to directly infer the inundation map in real time.

A direct ML approach from real-time measurements to inundation.

This approach works well “out of the box” when the model only needs to forecast an event that is within the range of events previously observed. Extrapolating to more extreme conditions is much more challenging. Nevertheless, proper use of existing elevation maps and real-time measurements can enable alerts that are more accurate than presently available for those in areas not covered by the more detailed morphological inundation models. Because this model is highly scalable, we were able to launch it across India after only a few months of work, and we hope to roll it out to many more countries soon.

Improving Water Levels Forecasting
In an effort to continue improving flood forecasting, we have developed HydroNets — a specialized deep neural network architecture built specifically for water levels forecasting — which allows us utilize some exciting recent advances in ML-based hydrology in a real-world operational setting. Two prominent features distinguish it from standard hydrologic models. First, it is able to differentiate between model components that generalize well between sites, such as the modeling of rainfall-runoff processes, and those that are specific to a given site, like the rating curve, which converts a predicted discharge volume into an expected water level. This enables the model to generalize well to different sites, while still fine-tuning its performance to each location. Second, HydroNets takes into account the structure of the river network being modeled, by training a large architecture that is actually a web of smaller neural networks, each representing a different location along the river. This allows neural networks that are modeling upstream sites to pass information encoded in embeddings to models of downstream sites, so that every model can know everything it needs without a drastic increase in parameters.

The animation below illustrates the structure and flow of information in HydroNets. The output from the modeling of upstream sub-basins is combined into a single representation of a given basin state. It is then processed by the shared model component, which is informed by all basins in the network, and passed on to the label prediction model, which calculates the water level (and the loss function). The output from this iteration of the network is then passed on to inform downstream models, and so on.

An illustration of the HydroNets architecture.

We’re incredibly excited about this progress, and are working hard on improving our systems further.

Acknowledgements
This work is a collaboration between many research teams at Google, and is part of our AI for Social Good efforts. We'd also like to thank our Geo and Policy teams, as well as Google.org.

This Garmin GPS aims to improve motorsport’s lap times and more

Garmin today is announcing a $999 GPS unit designed specifically for motorsports. Called the Garmin Catalyst, the unit aims to be a motorsports coach of sorts, helping drivers improve lap times, and more. It’s the latest example of Garmin testing different markets now that GPS units are built into most vehicles.

Like standard GPS units, the Catalyst mounts on the windshield and provides detailed maps for the driver. However, because this is for racing around tracks, instead of providing driving directions, the Catalyst is said to provide motorsports coaching with voice instructions and detailed analysis of the driver’s performance.

Adam Spence, Garmin product manager explains, “[The Catalyst] gathers several data metrics and identifies where laps can be seamlessly joined together to create the fastest racing line. This shows users their fastest achievable time based on lines actually driven and gives them an optimal lap they can truly achieve.”

The GPS unit uses a series of sensors and components to generate the car’s racing line on the track. The included camera captures 1080p video, which can be played back on the unit with the track data overlaid showing speed, lap data and more.

When driving, the Catalyst is said to be able to provide adaptive instruction to the driver based on past driving laps, instructing the driver on when to turn in, apex and exit turns, along with braking data when needed. This information can playback through compatible headsets or the vehicle’s Bluetooth stereo.

Data and track information can be viewed on the device itself or exported to a mobile device or computer.

The system is the latest product from Garmin, which is trying to bring its GPS know-how to niche markets. Previously, the company unveiled a similar unit for overland vehicles. Based on pictures, the Overlander and the Catalyst seem to use the same mounting hardware and have a similar design, albeit the Overlander appears more rugged.

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OrCam Technologies co-founder Amnon Shashua to speak at Sight Tech Global

If the measure of progress in technology is that devices should become ever smaller and more capable, then OrCam Technologies is on a roll. The Israeli firm’s OrCam MyEye, which fits on the arm of a pair of glasses, is far more powerful and much smaller than its predecessor. With new AI-based Smart Reading software released in July, the device not only “reads” text and labels but also identifies people by name and describes other important aspects of the visual world. It also interacts with the user, principally people who are blind or visually impaired, by means of an AI-based smart voice assistant.

At the upcoming Sight Tech Global virtual event, we’re pleased to announce that OrCam’s co-founder and co-CEO, Professor Amnon Shashua, will be a featured speaker. The event, which will take place virtually on Dec. 2-3, is focused on how AI-related technologies will influence assistive technology and accessibility in the years ahead. Attendance is free and pre-registration is open now.

Shashua is a towering figure in the technology world. He is not only the co-founder of OrCam but also Mobileye, the company that provides the computer-vision sensors and systems for automotive safety and autonomous navigation. Intel acquired Mobileye for $15.3 billion in 2017, the single-largest acquisition of an Israeli company ever.

Shashua started OrCam at the prompting of his aunt, who was losing her sight and hoped that her technologist nephew could apply his prodigious talents as a scientist and AI expert to help. With that goal in mind, he started OrCam in 2010 with co-founder Ziv Aviram. The firm has gone on to raise $130.4 million dollars from investors, including Intel, and sell the OrCam MyEye device to tens of thousands of users in over 50 countries. At $3900 per device in the U.S., the OrCam MyEye is far from affordable for most people, but the firm says the device price will come down as production increases.

At the start of a new era for assistive technology, OrCam’s approach with the lightweight, offline-operating OrCam MyEye is nothing if not thought provoking (the device was recognized as a TIME Best Invention of 2019). Will miniaturization of sophisticated sensors and electronics lead to unobtrusive sensor arrays as the foundation of assistive tech? Will the AI-based natural-language processing lead to an all-purpose, customizable personal assistants that work with abilities as needed?

“In OrCam’s roadmap,” says Shashua, “the ultimate AT must have the right balance between computer vision and natural language processing. For example, the “smart reading” feature recently launched harnesses NLP (natural language processing) in order to guide the device to which text information to extract and communicate to the user. NLP allows the user to specify precisely what he/she needs to know. For example, the “orientation” feature recently launched allows the user to prompt the device to describe the objects in the scene and to provide audible guidance to those objects. We see the “orientation” feature growing with respect to vocabulary, with respect to search (e.g., “notify me when you see a Toilet sign”), and with respect to obstacle avoidance (where is the free-space in the scene). The technological challenge in bringing these desires into reality critically depends on the progress of compute and algorithms.

“By ‘compute,'” says Shashua,  “I mean the ever-growing trend to miniaturize processing power enables more sophisticated algorithms to reside on smaller and battery-powered footprint. By “algorithms” I mean the ever-increasing sophistication of deep-tech to mimic human intelligence. Combining the two creates a powerful impact on the future of assistive tech for people who are blind and visually impaired.”

Shashua received a B.Sc in mathematics and computer science from Tel-Aviv University in 1985 and his M.Sc in computer science in 1989 from the Weizmann Institute of Science. He received a Ph.D in brain and cognitive sciences in 1993 from the Massachusetts Institute of Technology (MIT), while working at the Artificial Intelligence Laboratory.

Sight Tech Global is a virtual event on Dec. 2-3 and attendance is free. Pre-registration is open now. 

Sight Tech Global welcomes sponsors. Current sponsors include Verizon Media, Google, Waymo, Mojo Vision and Wells Fargo, The event is organized by volunteers and all proceeds from the event benefit The Vista Center for the Blind and Visually Impaired in Silicon Valley.

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As it awaits its US fate, TikTok doubles down on its revenue funnel with marketing partners

There’s a big question mark hanging over the future of TikTok right now, in the form of what exactly will happen to its US business come September 20, when President Trump said he plans to shut down the Chinese-owned app over security concerns.

But in the meantime, it seems to be business as usual for the app.

Today, TikTok — which has 100 million users in the US — announced a slate of marketing partners to help brands create and measure the impact of campaigns on the app. The company, owned by ByteDance in China, is kicking off the program with 20 partners that include companies for campaign management (eg, Sprinklr and Bidalgo); for creative development (eg, QuickFrame and Shuttlerock); branded effects around VR and AR (eg, Bare Tree Media and Byte); and measurement (Kantar). The full list is below.

This is the latest expansion of TikTok for Business, the company’s advertising platform, which launched officially in June to bundle together TikTok’s existing marketing products alongside a new AR product it launched to rival Snapchat’s.

TikTok confirmed to us that this is a global initiative — that is, it’s set up to create marketing campaigns for wherever TikTok is available.

And I’m going to be honest. It feels a little like an alternate TikTok reality, like the kind you might see in a split-screen meme on the app itself.

On one side, adding in marketing partners is very, very standard for a social media app that’s doubling down on making money through adtech based on its growing and engaged (and young) audience. Facebook (and the apps in its stable like Instagram) did it. Twitter did it. Snapchat did it.

And now TikTok is doing it. It speaks to the company’s ambition to expand its platform to work with the biggest brands and at scale, leveraging its strong audience growth to build advertising units to sell brands and products to them in innovative and sticky ways that are uniquely “TikTok.”

One the other side, of course, TikTok is having anything other than a standard growth trajectory right now.

It’s in the middle of a messy bidding process for ByteDance to sell TikTok’s US assets (along, potentially, with others) to US owners. The company has had to deal with the abrupt departure of its US head. And now the situation seems to be spilling over into speculation over what might happen in other parts of the world, such as India. All of this means that it’s unclear what will happen to marketing relationships, and where advertisers and partners will be left if and when the app has to splinter.

Or indeed, how ad products and other IP would be passed on in a potential sale. (Right now, reportedly, one of the sticking points for a deal has been the possibility that China might limit which algorithms, which form the basis of how TikTok works, would be passed on in a sale.)

“With the launch of TikTok For Business, we’re building new opportunities for marketers to be creative storytellers and meaningfully engage with the TikTok community,” said Melissa Yang, Head of Ecosystem Partnerships, TikTok, noted in the blog post. “We’re thrilled to collaborate with some of the most strategic and trusted leaders in the advertising industry and continue giving marketers access to more tools to successfully create, measure and optimize ad campaigns on TikTok. We can’t wait to collaborate with partners to bring a creative and joyful experience to our brand partners and the broader TikTok community.”

We have asked TikTok if it can comment on how marketing programs like these would be affected if and when the company does split up into regional operations, and it declined to comment specifically:

“Unfortunately we’re not able to comment on speculation,” said a spokesperson. “In general we along with our partners are excited to kick off these partnerships and continue bringing more solutions to the marketing community.”

Here’s the full list of partners in the meantime, per TikTok:

Campaign Management to plan, create, optimize, and measure marketing campaigns

• Bidalgo – Bidalgo drives growth and reduces user acquisition complexity for mobile marketers,  leveraging AI to generate actionable insights and powerful automation capabilities for creative production and media buying.
• Bidshake – Empowers fast, efficient and reliable campaign management by enabling real-time, automated cross-channel actions based on aggregated data all from one platform.
• Sprinklr – The world’s leading Customer Experience Management (CXM) platform.
• WinClap – The marketing company that provides advanced AI analytics, expertise, and creative production to boost the performance of your campaigns
• MakeMeReach – Multi-channel ads management platform optimized for scale.

Creative Development to build assets like videos that work on TikTok

• QuickFrame – More than a marketplace connecting brands to video creators. We help businesses grow by transforming the way they produce video content at scale.

• Shuttlerock – Transforms existing brand assets into stunning handcrafted video ads.

• VidMob – Leading creative analytics & post-production platform that uses data to understand your creative, improve your ads and increase marketing performance.

• Vidsy – Helping brands achieve their business goals with effective digital ad creative.

• Cohley – Helps brands and agencies cost effectively scale the creation of UGC videos for ads.

Branded Effects for AR and VR content

• Bare Tree Media – A full-service creative agency enabling brands to reach, engage and entertain consumers through the creation and digital publishing of augmented reality (AR), emojis, messaging stickers, and GIFs within popular messaging platforms.
• Byte – Global specialists in branded AR, Byte is a martech agency that combines technology and creativity to  help solve brands’ challenges.

• Happy Finish – Global creative production collective studio, creating realities. We specialise in cross-platform services including Retouch, CGI, Animation, VFX, VR, AR & Mixed Reality and Creative AI, and craft experiences for some of the biggest brands and agencies in the world.

• IgniteXR – Ignite XR is an end-to-end creative solutions group for augmented reality, creating integrated AR campaigns for brands and translating ideas into engaging immersive creative experiences.

• Poplar Studio – A global creative platform that makes the creation of 3D and AR campaigns easier, faster, affordable and fun — including face filters, world effects, mini-games, portals and image trackers.

• Subvrsive – Subvrsive is an immersive innovation studio focused on creating content, software, and experiences that transform businesses on a global scale.

• Tommy – A modern communications agency that uses technology, strategy, and award-winning design to help brands earn the attention of their audiences.

• Unit9 – A production studio focusing on AR/VR, Digital, Experiential, Gaming, Innovation and Film projects.

Measurement to target and analyse campaigns

• Kantar –  The world’s leading data, insights and consulting company.

TikTok is opening the program to other interested partners, it said.

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How do daily habits lead to political violence? | Christiane-Marie Abu Sarah

How do daily habits lead to political violence? | Christiane-Marie Abu Sarah

What drives someone to commit politically motivated violence? The unsettling answer lies in daily habits. Behavioral historian Christiane-Marie Abu Sarah shares startling insights into how seemingly mundane choices can breed polarization that lead to extreme, even deadly, actions -- and explains how to identify and bypass these behaviors in order to rediscover common ground.

https://ift.tt/3hUBhKc

Click this link to view the TED Talk

Facebook Watch is getting 1.25B visitors each month

Facebook is sharing some new growth numbers around its video destination — namely, that Facebook Watch is now receiving more than 1.25 billion visitors every month.

The company isn’t saying specifically how those numbers have changed during the pandemic (when video services like Netflix have seen dramatic growth), but product lead Paresh Rajwat said there was “a really big surge” at the beginning of lockdown and social distancing, and that the surge has not subsided as society begins to reopen.

Facebook Watch launched in 2018. Back in June of last year, the company said that 720 million people were watching at least one minute of Watch content every month.

Rajwat noted that while Watch is built on “the social layer of Facebook,” with videos shareable across Facebook’s many products, the views are happening on Watch itself.

“It is super critical for us to have a destination,” he said, keeping videos from popular creators and publishers separate from the core Facebook experience of interacting with friends and family. “The moment we mix them together, it becomes a completely different product for people.”

Rajwat added that the company isn’t just looking at overall audience size. He argued that when you look at “the reactions and comments and shares” you can see that “the content we have is working.” (Advertisers have wondered about the true extent of audience engagement on Facebook Watch.)

Last year, as tech and media companies were all investing heavily to launch their own streaming services, we argued that Facebook’s efforts with unscripted shows and older content seemed pretty lackluster in comparison. But it sounds like the content that’s working on Watch isn’t the kind of thing that you’d find on Netflix or Disney+ — as Rajwat put it, “The angle we’ve taken is to focus more on content that is around social topics to drive conversations.”

Image Credits: Facebook

For example, there’s “Red Table Talk” from Jada Pinkett Smith and family, a talk show that made headlines over the summer for bringing Will Smith and Jada together to discuss their marital issues. Facebook plans to launch another version of Red Table talk in October, “Red Table Talk: The Estefans,” with Gloria Estefan, her niece Lily and her daughter Emily.

As another example of a successful original Facebook Watch show, Rajwat pointed to “Returning the Favor,” an Emmy-winning program where host Mike Rowe showcases everyday heroes.

Rajwat said that live programming has increased significantly during the pandemic. That includes live sports, with 13.7 million people watching the UEFA Champions League final, making it the most popular football broadcast ever on Facebook Watch. And Facebook recently announced that publishers and other businesses will be able to charge for access to live online events, with Facebook taking no fees for the next year.

The site also added licensed music videos over the summer, with Katy Perry premiering her music video for “Smile” exclusively on Facebook Watch, where it was watched by “millions” of fans.

Image Credits: Facebook

The company highlighted successful publishers on Facebook Watch include organizations like UFC, large publishers like BuzzFeed and individual creators like Benito Skinner and Brandi Guice, a.k.a. Braannxo, who’s making 98% of her revenue from Facebook Stars and fan subscriptions.

Looking forward, Rajat said that a big priority is making “more and more investment in showing people what they really are interested in.” To that end, users have already spotted that Facebook Watch is now allowing users to customize their feed by exploring and subscribing to different topics.

Facebook now lets you customize your Watch video feed with #Topics

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