Connect with us

Uncategorized

Facebook applies overly broad content block in flex against Australia’s planned news reuse law

Published

on

Outrage fast-followed Facebook’s announcement yesterday that it was making good on its threat to block Australian users’ ability to share news on its platform.

The tech giant’s intentionally broad-brush — call it antisocial — implementation of content restrictions took down a swathe of non-news publishers’ Facebook pages, as well as silencing news outlets’, illustrating its planned dodge of the (future) law.

Facebook took the step to censor a bunch of pages as parliamentarians in Australia are debating a legislative proposal to force Facebook (and Google) to pay publishers for linking to their news content. In recent years the media industry in the country has successfully lobbied for a law to extract payment from the tech giants for monetizing news content when it’s reshared on their platforms — though the legislation is still being drafted.

Last month Google also threatened to close its search engine in Australia if the law isn’t amended. But it’s Facebook that screwed its courage to the sticking place and flipped the chaos switch first.

Last night Internet users in Australia took to Twitter to report local scores of Facebook pages being wiped clean of content — including hospitals, universities, unions, government departments and the bureau of meteorology, to name a few.

 

In the wake of Facebook’s unilateral censorship of all sorts of Facebook pages, parliamentarians in the country accused the tech giant of “an assault on a sovereign nation”.

The prime minister of Australia also said today that his government “would not be intimidated”.

Reached for comment, Facebook confirmed it has applied an intentionally broad definition of news to restrict — saying it has done so to reflect the lack of clear guidance in the law “as drafted”.

So it looks like the collateral damage of Facebook silencing scores of public information pages is at least partly a PR tactic to illustrate potential ‘consequences’ of lawmakers forcing it to pay to display certain types of content — i.e. to ‘encourage’ a rethink while there’s still time.

The tech giant did also say it would reverse pages that are “inadvertently impacted”.

But it did not indicate whether it would be doing the leg work of checking its own homework there, or whether silenced pages must (somehow) petition it to be reinstated.

“The actions we’re taking are focused on restricting publishers and people in Australia from sharing or viewing Australian and international news content. As the law does not provide clear guidance on the definition of news content, we have taken a broad definition in order to respect the law as drafted. However, we will reverse any Pages that are inadvertently impacted,” a Facebook company spokesperson said in the statement.

It’s also not clear how many non-news pages have been affected by Facebook’s self-imposed content restrictions.

If the tech giant was hoping to kick off a wider debate about the merits of Australia’s (controversial) plan to make tech pay for news (including in its current guise, for links to news — not just snippets of content, as under the EU’s recent copyright reform expansion of neighbouring rights for news) — Facebook has certainly succeeded in grabbing global eyeballs by blocking regional access to vast swathes of useful, factual information.

However Facebook’s blunt action has also attracted criticism that it’s putting business interests before human rights — given it’s shuttering users’ ability to find what might be vital information, such as from hospitals and government departments, in the middle of a pandemic. (Albeit, being accused of ignoring human rights is hardly a new look for Facebook.)

The Harvard professor Shoshana Zuboff’s academic critique of surveillance capitalism — including that it engages in propagating “epistemic chaos” for profit — has perhaps never felt quite so on the nose. (“We turned to Facebook in search of information. Instead we found lethal strategies of epistemic chaos for profit,” she wrote only last month.)

Facebook’s intentional over-flex has also underscored the vast power of its social monopoly — which will likely only strengthen calls for policymakers and antitrust regulators everywhere to grasp the nettle and rein in big tech. So its local lobbying effort may backfire on the global stage if it further sours public opinion against the scandal-hit company.

Facebook’s rush to censor may even encourage a proportion of its users to remember/discover that there’s a whole open Internet outside its walled garden — where they can freely access public information without having to log into Facebook’s ad-targeting platform (and be stripped of their privacy) first.

As others have noted, it’s also interesting to note how quickly Facebook can pull the content moderation trigger when it believes its bottom line is threatened. And a law to extract payment for sharing news content presents a clear threat.

Compare and contrast Facebook’s rush to silence information pages in Australia with its laid back approach to tackling outrage-inducing hate speech or violent conspiracy nonsense and it’s hard not to conclude that content moderation on (and by) Facebook is always viewed through the prism of Facebook’s global revenue growth goals. (Much like how the tech giant can here be seen in a court filing chainlinking revenue to its self-reported ad metric tools.)

Lyron Foster is a Hawaii based African American Musician, Author, Actor, Blogger, Filmmaker, Philanthropist and Multinational Serial Tech Entrepreneur.

Continue Reading
Comments

Uncategorized

MealMe raises $900,000 for its food search engine

Published

on

This morning MealMe.ai, a food search engine, announced that it has closed a $900,000 pre-seed round. Palm Drive Capital led the round, with participation from Slow Ventures and CP Ventures.

TechCrunch first became familiar with MealMe when it presented as part of the Techstars Atlanta demo day last October, mentioning it in a roundup of favorite startups from a group of the accelerator’s startup cohorts.

The company’s product allows users to search for food, or a restaurant. It then displays price points from various food-delivery apps for what the user wants to eat and have delivered. And, notably, MealMe allows for in-app checkout, regardless of the selected provider.

The service could boost pricing and delivery-speed transparency amongst the different apps that help folks eat, like DoorDash and Uber Eats. But Mealme didn’t start out looking to build a search engine. Instead it took a few changes in direction to get there.

From social network to search engine

MealMe is an example of a startup whose first idea proved only directionally correct. The company began life as a food-focused social network, co-founder Matthew Bouchner told TechCrunch. That iteration of the service allowed users to view posted food pictures, and then find ordering options for what they saw.

While still operating as a social network, MealMe applied to both Y Combinator and Techstars, but wasn’t accepted at either.

The startup discovered that some of its users were posting food pics simply to get the service to tell them which delivery services would be able to bring them what they wanted. From that learning the company focused on building a food search engine, allowing users to search for restaurants, and then vet various delivery options and prices. That iteration of the product got the company into Techstars Atlanta, eventually leading to the demo day that TechCrunch reviewed.

During its time in Techstars, the company adjusted its model to not merely link to DoorDash and others, but to handle checkout inside of its own application. This captures more gross merchandize value (GMV) inside of MealMe, Bouchner explained in an interview. The capability was rolled out in September of 2020.

Since then the company has seen rapid growth, which it measures at around 20% week-on-week. During TechCrunch’s interview with MealMe, the company said that it had reached a GMV run rate of more than $500,000, and was scaling toward the $1 million mark. In the intervening weeks the company passed the $1 million GMV run-rate threshold.

MealMe was slightly coy on its business model, but it appears to make margin between what it charges users for orders and the total revenue it passes along to food delivery apps.

TechCrunch was curious about platform risk at MealMe; could the company get away with offering price comparison and ordering across multiple third-party delivery services without raising the ire of the companies behind those apps? At the time of our interview, Bouchner said that his company had not seen pushback from the services it sends users to. His company’s goal is to grow quickly, become a useful revenue source for the DoorDashes of the world, and then reach out for some of formal agreement, he explained.

“We continue to be a powerful revenue generator and drive thousands of orders to food delivery services per week,” the co-founder said in a written statement. Certainly MealMe found investors more excited by its growth than concerned about Uber Eats or other apps cutting the startup off from their service.

What first caught my eye about MealMe was the realization of how much I would have used it in my early 20s. Perhaps the company can find enough users like my younger self to help it scale to sufficient size that it can go to the major food ordering companies and demand a cut, not merely avoid being cut off.

Continue Reading

Uncategorized

Apple supplier Foxconn reaches tentative agreement to build Fisker’s next electric car

Published

on

Apple supplier Foxconn Technology Group has reached a tentative agreement with electric vehicle startup-turned-SPAC Fisker to develop and eventually manufacture an EV that will be sold in North America, Europe, China and India.

Fisker and Foxconn said Wednesday that a memorandum of understanding agreement has been signed. Discussions between the two companies will continue with the expectation that a formal partnership agreement will be reached during the second quarter of this year. 

Under the agreement, Foxconn will begin production in the fourth quarter of 2023 with a projected annual volume of more than 250,000 vehicles. The electric vehicle will carry the Fisker brand.

Foxconn Technology Group Chairman Young-way Liu touted the company’s vertically integrated global supply chain and accumulated engineering capabilities, noting that it gives the company two major advantages in the development and manufacturing of the key elements of an EV, which includes the electric motor, electric control module and battery.

That supply chain and ability to scale engineering quickly will be critical for Foxconn if it hopes to meet its production target.

“The collaboration between our firms means that it will only take 24 months to produce the next Fisker vehicle — from research and development to production, reducing half of the traditional time required to bring a new vehicle to market,” Young-way Liu said in a statement.

Fisker said production of the Ocean SUV — its first EV and one that is supposed to be built by contract manufacturer Magna — will begin in the fourth quarter of 2022. The company said it plans to unveil a production-intent prototype of the Ocean later this year.

This is not Foxconn’s first foray into electric vehicle manufacturing.

Foxconn announced in January 2020 that it had formed a joint venture with Fiat Chrysler Automobiles to build electric vehicles in China. Under that agreement, each party will own 50% of the venture to develop and manufacture electric vehicles and engage in an IOV, what Foxconn parent company Hon Hai calls the “internet of vehicles” business.

Last month, Foxconn and Chinese automaker Zhejiang Geely Holding Group agreed to form a joint venture focused on contract manufacturing for automakers, with a specific focus on electrification, connectivity and autonomous driving technology as well as vehicles designed for sharing.

The joint venture between Foxconn and Geely will provide consulting services on whole vehicles, parts, intelligent drive systems and other automotive ecosystem platforms to automakers as well as ridesharing companies. Geely said it will bring its experience in the automotive fields of design, engineering, R&D, intelligent manufacturing, supply chain management and quality control while Foxconn will bring its manufacturing and Information and Communication Technology (ICT) know-how.

 

Continue Reading

Uncategorized

Select Star raises seed to automatically document datasets for data scientists

Published

on

Back when I was a wee lad with a very security-compromised MySQL installation, I used to answer every web request with multiple “SELECT *” database requests — give me all the data and I’ll figure out what to do with it myself.

Today in a modern, data-intensive org, “SELECT *” will kill you. With petabytes of information, tens of thousands of tables (on the small side!), and millions and perhaps billions of calls flung at the database server, data science teams can no longer just ask for all the data and start working with it immediately.

Big data has led to the rise of data warehouses and data lakes (and apparently data lake houses), infrastructure to make accessing data more robust and easy. There is still a cataloguing and discovery problem though — just because you have all of your data in one place doesn’t mean a data scientist knows what the data represents, who owns it, or what that data might affect in the myriad of web and corporate reporting apps built on top of it.

That’s where Select Star comes in. The startup, which was founded about a year ago in March 2020, is designed to automatically build out metadata within the context of a data warehouse. From there, it offers a full-text search that allows users to quickly find data as well as “heat map” signals in its search results which can quickly pinpoint which columns of a dataset are most used by applications within a company and have the most queries that reference them.

The product is SaaS, and it is designed to allow for quick onboarding by connecting to a customer’s data warehouse or business intelligence (BI) tool.

Select Star’s interface allows data scientists to understand what data they are looking at. Photo via Select Star.

Shinji Kim, the sole founder and CEO, explained that the tool is a solution to a problem she has seen directly in corporate data science teams. She formerly founded Concord Systems, a real-time data processing startup that was acquired by Akamai in 2016. “The part that I noticed is that we now have all the data and we have the ability to compute, but now the next challenge is to know what the data is and how to use it,” she explained.

She said that “tribal knowledge is starting to become more wasteful [in] time and pain in growing companies” and pointed out that large companies like Facebook, Airbnb, Uber, Lyft, Spotify and others have built out their own homebrewed data discovery tools. Her mission for Select Star is to allow any corporation to quickly tap into an easy-to-use platform to solve this problem.

The company raised a $2.5 million seed round led by Bowery Capital with participation from Background Capital and a number of prominent angels including Spencer Kimball, Scott Belsky, Nick Caldwell, Michael Li, Ryan Denehy and TLC Collective.

Data discovery tools have been around in some form for years, with popular companies like Alation having raised tens of millions of VC dollars over the years. Kim sees an opportunity to compete by offering a better onboarding experience and also automating large parts of the workflow that remain manual for many alternative data discovery tools. With many of these tools, “they don’t do the work of connecting and building the relationship,” between data she said, adding that “documentation is still important, but being able to automatically generate [metadata] allows data teams to get value right away.”

Select Star’s team, with CEO and founder Shinji Kim in top row, middle. Photo via Select Star.

In addition to just understanding data, Select Star can help data engineers begin to figure out how to change their databases without leading to cascading errors. The platform can identify how columns are used and how a change to one may affect other applications or even other datasets.

Select Star is coming out of private beta today. The company’s team currently has seven people, and Kim says they are focused on growing the team and making it even easier to onboard users by the end of the year.

Continue Reading

Trending