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Digital Marketing News: The Visual Internet, Influencer Marketing Trends, Sneaky Ads http://ift.tt/2AvMhqU

Digital Marketing News: The Visual Internet, Influencer Marketing Trends, Sneaky Ads

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How to Keep Up With the Rise of the Visual Internet [Infographic]
Online media is increasingly visual — from personal photos to branded motion graphics, gif and videos. How can you keep up with the rising need for visual content? This infographic shares tips to help you stay on top of the trend and keep your viewers engaged. MarketingProfs
10 Million People Used Facebook Live on New Year’s Eve
It probably won’t come as a shock that, for most, the tradition of cozying up around an antennaed TV to watch the ball drop on NYE is behind us. Because in front of us — right in front of our faces — is Facebook Live. Ringing in 2018, Facebook Live topped their activity from the previous year’s NYE festivities, with people sharing 47% more live videos than last year.  Facebook Media
Google’s Rich Results Tool Allows for Testing of Structured Data
Google has a way of defining things (“Conversions” for instance) and now, they’ve defined Rich Results. “Rich Results” has been coined as a phrase to refer to rich snippets, rich cards and other “rich” additions to a website’s content. And Google’s new tool will test for all types of structured data that can be shown as rich results, pulling from sources including JSON-LD, Microdata and RDFa. The tool currently works for recipes, jobs, movies and courses, and Google plans to expand to more data types. Search Engine Journal
Top Influencer Marketing Trends & Challenges of 2018
Of the influencer marketers surveyed by Linqia, 76% predict that their top challenge in 2018 will be determining the ROI of their influencer marketing programs. In addition, 52% of those same influencer marketers plan to adopt the trend of running influencer marketing programs that leverage multiple types of influencers, and 44% will use influencer content to improve the performance of other channels. MarketingProfs
What Millennials Are Killing Now, And 24 Other Insights We Can Glean by Analyzing Tweets
6,000 tweets are posted every second, and anybody who’s stayed up past bedtime scrolling through the Twitterverse can attest that, yes, it can all add up to a LOT of noise. But each tweet is also a piece of data. Brandwatch has analyzed billions of those tweets, which they refer to as “live human thought,” and answered some of our most burning questions: Who was the most talked about character in Game of Thrones Season 7? Does Starbucks spell my name wrong on purpose? Brandwatch
2018 Will Be the Year Chatbot Conversations Get Real
AT&T recently revealed plans to roll out a “mobile 5G” network in a dozen markets by the close of 2018. The company indicated that the network would bring 5G service to everything from mobile and VR to car AI and home TV. Not to be left out, Verizon, Sprint and T-mobile are all working towards 5G as well — all with nuanced approaches.  VentureBeat
On Facebook, Viral Reach for Branded-Content Ads Eclipses Standard Ads
New research from Shareablee shows that branded-content ads get twice as many organic or earned impressions as they do paid impressions on Facebook. Organic impressions for the average Facebook ad make up less that 10% of impressions from paid promotion. Creating shareable content that performs well organically — with a little help from paid promotion  is proving to be a winning combination. MarketingLand
One In Ten Publishers Say They’re Not Labeling Native Advertising
Two new studies from the Native Advertising Institute show that about 10% of news and magazine publishers aren’t properly labeling their online native advertising. These publishers largely cited "meeting budget demands" as their reason for doing so, even though 25% say this practice is one of the biggest threats they see to native advertising. MediaPost
Snapchat May Force Users To Watch Three Seconds Of Ads Before Skipping
To help increase their perceived value in the market, Snapchat is considering making their ads skippable only after the first three minutes. Currently, Snapchat users skip ads within the first second of viewing, where the industry standard for a successful ad lies around the two second mark. AdAge
Six Surprising Facts About the Way We Spend Our Time with Media
Believe it or not, in a world where we’re continually surrounded by media, some stats about its use can still surprise us. For example, U.S. adults spend more time listening to on-air radio than they do on social networks. eMarketer
2018 Will Be A Pivotal Year For Facebook’s Video Ambitions
Mark Zuckerberg has recently proclaimed that he sees video as a "megatrend." True to form, this trend has caused Facebook to act by placing video first across the Facebook group of apps. The platform has upped their investment in video already, but it plans to invest an additional billion dollars in 2018. Digiday

On the Lighter Side:
The Real Story Behind Steak-umm’s Delightfully Weird Twitter Account – AdWeek
Sneaky Ads: In China, the Characters From the Show Appear in the Commercials, Too – Ad Age
TopRank Marketing In The News:
TopRank Marketing Blog – 109 Content Marketing Blogs to Watch in 2018 (Broken Down By Category) – SnapApp
Caitlin Burgess – The Trendiest Marketing Content of 2017 – LinkedIn
Lee Odden – The Most Impactful Tips from the Biggest Marketing Minds of 2017 – LeadMD
Amy Higgins – A Year of Great Content in Review: 19 Best Pieces by Prowly Magazine Contributors in 2017 – Prowly
Lee Odden – Lee Odden to Keynote Pubcon Florida 2018 – PubCon
What was the top digital marketing news story for you this week?
We’ll be back next week with more digital marketing news! Have something to share in the meantime? Tweet us @toprank or drop me a line @Tiffani_Allen.

The post Digital Marketing News: The Visual Internet, Influencer Marketing Trends, Sneaky Ads appeared first on Online Marketing Blog – TopRank®.

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Designer Creates Chic Posture-Improving Tools You Might Actually Want To Use http://ift.tt/2CW2PeG

Designer Creates Chic Posture-Improving Tools You Might Actually Want To Use

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Designer Creates Chic Posture-Improving Tools You Might Actually Want To Use

Designer Creates Chic Posture-Improving Tools You Might Actually Want To Use

Designer Mirjam de Bruin created Asana, a series of five tools to help office workers keep up their health while sitting at their desks

It’s no secret that sitting at a desk all day is bad for you, and slouching at said desk is even worse. While not everyone can get a standing desk, there are ways to improve your posture, like the collection of tools designed Design Academy Eindhoven graduate Mirjam de Bruijn. Called Asana, these five tools are meant to help people stretch and keep the blood-flowing.

These include a rocking footrest, a large rubber band to stretch the arms, twin weights for wrist exercises, a rubber sitting cushion and a rounded stick to roll your wrists over to get blood flowing. The products are designed to help people but also to look good, as de Bruijn writes on her website: “The tools are designed to look inviting and in tune with a modern aesthetic, as opposed to current offerings, which are more like medical aids than something you want to be seen using.”

You can see these devices in action in the video below.

Mirjam de Bruijn

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Texas Nail Salon’s Interior Boasts A Retro Modern Design http://ift.tt/2lXlTAZ

Texas Nail Salon’s Interior Boasts A Retro Modern Design

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Texas Nail Salon’s Interior Boasts A Retro Modern Design

Content Architecture designed Paloma nail salon in Houston with natural colors and a clean aesthetic

Paloma, a Houston nail salon that uses only non-toxic polishes, recently received an interior makeover from local architecture firm Content Architecture.

The designers decided to focus on a luxurious, natural look and covered the interior in ombre wallpaper. This simple coloring makes other notable features stand out, such as the retro blue armchairs where customers sit for manicures and pedicures and simple wooden tables and stools for each work station. The waiting area has a bench and a trio of stools for customers to rest at. A partition of thin brass bars act as a veil between these two areas.

Paloma is located in Houston, Texas.

Paloma | Content Architecture


Lead Image: Paloma Nails via Facebook

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Waymo Is Figuring Out How To Insure Self-Driving Cars http://ift.tt/2lXfrde

Waymo Is Figuring Out How To Insure Self-Driving Cars

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Waymo Is Figuring Out How To Insure Self-Driving Cars

As self-driving cars become more of a reality, Waymo is forming partnerships to insure them

Waymo, the self-driving tech company that branched off from Google, recently got residents in Phoenix, Arizona to try out their autonomous vehicles and comment on their experiences. Now, the company is trying to figure out how insurance will work in a self-driving future.

Waymo is working with insurance startup Trov to figure out how Waymo’s passengers can be insured in case of any damaged property and any medical expenses that need to be covered. In an interesting twist, detailed information on what this coverage is exactly will not be revealed to riders but simply comes as part of choosing the self-driving package.

This partnership is one indication that as self-driving technology continues to improve and expand, more business opportunities will open up for new and old players.

Waymo | Trov

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What is Deep Learning? Here’s Everything Marketers Need to Know http://ift.tt/2CVd8Q7

What is Deep Learning? Here’s Everything Marketers Need to Know

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The machines are here.

You may have heard rumors about artificial intelligence (AI) potentially taking over our jobs. And the question is: Should you be concerned?

In my opinion, we should be excited.

AI — especially “deep learning” technology — brings new opportunities and innovation in the way digital marketing, sales, and customer support are handled.

But what is deep learning? How does it work? And how can it be applied to marketing and sales in your company?

What Is Deep Learning?

Deep learning is a discipline within AI that uses algorithms mimicking the human brain. Deep learning algorithms use neural networks to learn a certain task. Neural networks consist of interconnected neurons that process data in both the human brain and computers.

Neural Networks in Advertising

Let’s assume we are an online car dealership, and we want to use real-time bidding (RTB) as a mechanism to buy ad space for our product on other websites — for retargeting purposes.

RTB is an automated process that takes place in a short time frame of under 100 milliseconds. When a user visits a website, an advertiser is alerted, and a series of actions determines whether or not that advertiser bids for an ad display. Have a look at the image below:

Source: Periscopix

In RTB, we use software to decide if we want to bid for a certain ad — the software will make a decision by predicting how likely the website visitor is to buy one of our products. We call that "buying propensity."

In this instance, we’ll use deep learning to make this prediction. That means our RTB software will use a neural network to predict the buying propensity.

The neural network inside our RTB software consists of neurons and the connections between them. The neural network on the above image has only a handful of neurons. In reality, a digital neural network has thousands — or even millions — of neurons and connections. 

In this scenario, we want to find out if a certain website visitor is likely to buy a car, and if we should pay for an ad to target her. The result will depend on the interests and actions of the website visitor.

To predict the buying propensity, we first choose several “features” that are key to defining this person’s digital behavior. In our example, those features will consists of which of the following four web pages were visited:

  1. Pricing.
  2. Car Configurator.
  3. Specifications.
  4. Financing.

Those features will influence the output of our neural network — or, essentially, our conclusion. That output can have one of two values:

  1. The website visitor is interested in the product, or “ready to buy.” Conclusion: We should display an ad.
  2. The website visitor is not interested in the product, or "not ready." Conclusion: Do not show an ad.

How the Neural Network Functions

Let’s have a closer look:

For each input, we use “0” or “1”.

“1” means the user has visited the webpage. The neurons in the middle will add the values of their connected neurons using weights — or, more simply put, they define the importance of each visited webpage.

This process continues from left to right, until we reach the “output” neurons — “ready to buy” or “not ready,” as per our earlier list.

The higher the value of the output, the higher the probability that this output is the correct one — or the more accurately the network predicts the user’s behavior.

In this example, a website visitor looked at the Pricing and Car Configurator pages, but she skipped Specifications and Financing. Using the numerical system above, we get a “score” of 0.7, which means that there is a 70% chance this user is “ready to buy” our product.

So, if we look at our original formula, that score indicates the conclusion that we should buy the RTB ad placement.

Training of the Neural Network

Now that we know how a neural network functions, let’s have a look at how to make sure our output neurons are calculated correctly, in order to make the right decision.

The challenge is to come up with the correct “weight” factors for all the connections inside the neural network, which is why it needs to be trained.

In this context, “training” means that we feed the neural network data from multiple website visitors — things like visitor features (which web pages users have visited), as well as indicators of their eventual purchase decisions from us (which are labeled as "yes" or "no").

The neural network processes all these data, adjusting the weights of each neuron until the neural network makes appropriate calculations for each person within the training data. Once that step is complete is done, the weights are fixed, and the neural network is can more accurately predict the outcome for new website visitors.

The Future of Deep Learning

Democratization of AI

AI is quickly finding its way into marketing tools that we use every day. Take, for example, the AI-powered Chatbot builder by Motion.ai (part of HubSpot), which allows you to easily create and publish your own chatbot.

Another example is Dialogflow, a platform from Google that lets you build a chatbot for your company or service.

It certainly doesn’t stop there. AI can assist with the setup of advertising campaigns, hyper-personalize emails, optimize lead scoring, categorize and escalate customer issues, and actually help you with anything that requires data processing or orchestration.

Deep learning can be applied in any area of digital marketing, provided that you have a sufficient amount of “training” data. The challenge is typically to extract data from your various marketing tools — that’s where data integration platforms like Blendr.io will be crucial in connecting your data silos when you start experimenting with deep learning and AI.

The Future: AI … That Builds New AI

Google explains that the process of designing neural networks often takes a significant amount of time for development and experimentation, because all of the neural network layers have to be crafted by people. That’s why Google invented AutoML: AI that can build new and better AI algorithms.

Imagine what that type of technology can bring to something like marketing automation, for example. The AI will be able to build additional, customized AI algorithms that will learn and automatically optimize nurturing campaigns, for example.

Though deep learning may sound complicated, it’s a process that, much of the time, boils down to math. Neural networks “learn” in a manner similar to humans: by viewing many examples, and discovering the commonalities among them.

Once the neural network is trained, it can perform complex tasks and a certain level of reasoning. Deep learning and AI can be integrated into many aspects of digital marketing and sales automation. The machines are not coming — they are already here.

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Your theory http://ift.tt/2CTDB0l

Your theory

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Of course, you have one. We all do. A theory about everything.

You’re waiting for 7:20 train into the city. Your theory is that every day, the train comes and brings you to work. Today, the train doesn’t come. That’s because it’s Sunday, and the train doesn’t run on the same schedule. Oh. So you’ve learned something, and now you have a new theory, which is that the train comes at 7:20 on weekdays only. And you’ll keep working with that theory, and most of the time, it’ll help you get what you want.

And you have a theory that putting a card into the ATM delivers money.

And you have a theory that smiling at a stranger increases the chances that you’ll have a good interaction.

And on and on.

Many theories, proposals about what might work in the future.

We can fall into a few traps with our theories about humans:

  1. We can come to believe that they are ironclad guarantees, not merely our best guess about the future. 
  2. We can refuse to understand the mechanics behind a theory and instead accept the word of an authority figure. If we fail to do the math on our own, we lose agency and the ability to develop an even more nuanced understanding of how the world works.
  3. We can become superstitious, ignoring evidence that runs counter to our theory and instead doubling down on random causes and their unrelated effects.
  4. We can hesitate to verbalize our theories, afraid to share them with others, particularly those we deem as higher in authority or status.
  5. We can go to our jobs and do all four of these things at once. 

[PS The Marketing Seminar is accepting new signups right now.]

       

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What Can We Expect From Tech In 2018? http://ift.tt/2m02ksT

What Can We Expect From Tech In 2018?

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Social networks and politics, the still unfulfilled promise of augmented reality, pay-to-play games: what might change in the year ahead

This article titled “From the future of bitcoin to Facebook, 2018 in technology” was written by Alex Hern, for The Observer on Sunday 31st December 2017 07.00 UTC

Echo and Home will start to talk back

Both of the major smart home platforms have a long-running problem with “discoverability”: it’s very hard to let users know what their devices can do, particularly if they’re always improving thanks to rapid software updates.

Amazon and Google are constantly experimenting with ways to get around this, but so far they have been timid. Amazon sends a weekly email, while Google includes some tips in its app. Expect to see them be bolder, particularly as powerful rivals such as Apple appear on the scene with worse AI but better sound.

So don’t be surprised if your Google Home or Amazon Echo begin to talk back, rather than simply following commands. They might ask for a bit more contextual information, to better carry out the role you’ve assigned them, or they might suggest something that you hadn’t even thought to ask them, based on your use patterns (and, in Google’s case, near-omniscient knowledge of your movements and habits).

Actual conversations will probably be rare for the core assistants, though. Both companies know that they need to avoid irritating their users and are loath to insert themselves too forcefully into their lives.

But with both platforms also open to third-party developers, we can expect to see an evolution of the sort of chatbot-based narrative experiences with which organisations such as the BBC are already experimenting. Want to have Alexa acting as your on-tap dungeon master for a weekly pen-and-paper role playing game? OK, you’ll probably have to wait a bit longer for that one.

Donald Trump in Palm Beach. The issue of Russian interference in the 2016 election has become an existential concern for Facebook. Photograph: Joe Raedle/Getty Images

Facebook screws up the 2018 US midterm elections

There is not really any good outcome for Facebook in 2018 and the company seems to know it. It’s stuck between two competing imperatives and it’s hard to see how it can chart a course between Scylla and Charybdis.

On the one hand, the company has to demonstrate conclusively that it has managed to protect the US against further Russian interference. That’s an almost existential concern for Facebook, at this point: the investigation into the Internet Research Agency’s actions on the site has blossomed into the worst press it has ever had and already made 2017 hell for the company.

That defensive need goes further than just Russia, though. Facebook still has a problem with “fake news” and its efforts to stymie the spread of hoaxes, bad reporting and deliberate propaganda haven’t worked. The rot has got so bad that Facebook is experimenting with simply deprioritising news full stop, trialling a news feed in six countries around the world that removes news posts to a secondary column, the “explore feed”.

But commercially, Facebook still needs to show it can swing elections. It’s reaching out to elected officials and candidates around the world – even running a special elections page, walking them through the process of buying an advert, optimising it for organic engagement and getting “honest, real-time” voter feedback.

It’s easy to see Facebook managing to achieve the worst of both worlds. In an effort to guard against misinformation, it has already started to promise new restrictions on political adverts, which could hurt the bottom line when it comes to creaming a portion of the enormous US electoral ad spend. But those restrictions won’t be enough to prevent a determined campaign – nor could they, without completely changing the nature of Facebook’s site.

Pay to play

The world of videogames saw a long-overdue backlash in 2017 against the concept of “loot boxes”, slot-machine style collections of virtual items that gamers can buy for real money to improve their characters. With tales of children spending hundreds of pounds on new players for Fifa and the latest Star Wars game launching to terrible reviews for its “relentless” money-grabbing, the trend looks as if it might be dialled back in the coming year.

But the economics behind it haven’t changed. Making serious money from games, particularly casual and mobile games, remains a prospect of identifying “whales” – players who will spend hundreds or thousands of pounds on your game in order to be the best there is – and milking every last cent from them, even if the experience hurts the normal players who just want to have fun without pulling their wallet out.

So what’s next? Paying those normal players to stick around, of course. After all, no one is going to spend a thousand pounds on new weapons and armour if there isn’t anyone to shoot them with. And people will do silly things to earn money, even if it’s just pennies an hour.

Crycash, a cryptocurrency launched in partnership with major developers Crytek, offers one mechanism to do just that, providing a “decentralised ecosystem of custom-tailored products providing gamers a means to monetise their game time”. The project suggests that users could be rewarded for achieving simple goals in-game (say, 3 crycash for 100 kills); they could then use that money to buy in-game items or sell it to the whales to cash out.

Wheelie scary? Self-driving cars are being trained and tested using Grand Theft Auto.

Your bus driver was trained in Grand Theft Auto – and is a computer

Games are fertile ground for training advanced artificial intelligences. Unlike the real world, they can be run on fast-forward, reset instantly, and operated in vast numbers simultaneously. That’s how a system such as DeepMind’s AlphaZero was able to learn how to play chess, Go and shogi to better-than-world-class standard in a matter of hours: by “playing” an inconceivable number of games against itself, improving as it did so, until it had more experience in each game than all the world’s grandmasters combined.

The next stage for many AI practitioners is to move from the table top to videogames. More advanced games can be used, not to improve the basic science of how to make a strong neural network, but to take advantage of the same elements of simulation that make them fun for your typical player: the handling of a car on the road in Grand Theft Auto, for instance, or the physics engine that makes bodies fly realistically in a typical first-person shooter.

Self-driving cars have been trained on the open world driving game Grand Theft Auto for more than a year now, learning to label different objects in a scene and drive a car according to the rules of the road.

But recent software releases from major gaming tech companies such as Unity and OpenAI look likely to accelerate that trend. Just remember to remove the bit of the game that rewards you for killstreaks before training your AI, OK?

Colin Stretch, general counsel with Facebook, speaking at a Senate hearing last October. Photograph: Bloomberg via Getty Images

‘Transparency reports’ will get longer, and still be ignored

Social networks have faced awkward sessions in front of legislatures around the world, as they try to get to grips with the extent of Russian misinformation operations aimed at disrupting democratic elections in the west.

While the prospect of MPs and congressional representatives shouting at executives from Twitter and Facebook is always a juicy one, the real meat of the testimony comes in the data those two companies have been forced to hand over to investigative committees, from which we’ve received an insight into the practices of both the “professional trolls” Russia employed to disrupt the votes and the social media firms themselves.

But this ad-hoc information sharing won’t last and tech has already shown that it knows the best way to bury bad news is in plain sight. Following the Snowden revelations, when the world learned the extent of the US national security apparatus and how it was applied to the tech world, companies including Twitter, Apple and Google began issuing annual transparency reports.

They list how many requests for information the companies have received from law enforcement and which of them they’ve acquiesced to, turning a sporadic drip of information into an annual torrent.

So don’t be surprised if the next load of these reports begins to include information about state-sponsored political manipulation as a new chapter. Where better to bury bad news than in your annual bad news newsletter?

Bitcoin crashes… to higher than it was when people started calling it a bubble

Making predictions about cryptocurrencies is a fool’s game. The first time the Guardian noted bitcoin was in a bubble was June 2011, when the currency had just crashed from a high of $30. As I write, it’s worth $16,500. Who knows what it will be when you read this?

Still. At this point, you’d be a fool if you didn’t expect some sort of crash in the crypto market in 2018. When people are remortgaging houses to invest in something they saw on a tube advert, that’s not a great sign.

The final point in any speculative boom is always the arrival of the “dumb money”, because they’re the investors who put in more than they can afford to lose and get flighty at the downturns. And because this speculative bubble isn’t just bitcoin, instead involving a spread of investments across a number of cryptocurrencies including ethereum, monero and a host of bitcoin forks, that eventual crash could be sparked by any one of about 20 markets.

So the question isn’t whether there will be a crash, but what comes next. With the amount of attention and investment cryptocurrencies have received, and the baked-in assumption of wild volatility in price, it’s hard to see a crash killing the sector. That’s partially because none of the previous crashes has managed to do it, demonstrating a remarkable resilience alongside the huge price swings. And it’s partially because, well, cryptocurrencies are useful. Sure, most of that use is buying drugs and paying cybercriminals, but that keeps demand up high enough that it never quite bottoms out. Many have called the death of bitcoin and many have been wrong.

An American neo-Nazi at a rally in Kentucky last spring: YouTube censors violent hate speech but is it still a gateway to extremism? Photograph: Pat Jarrett

YouTube starts paying attention to the far right

The world’s largest broadcaster has started to wake up to the fact that time and again, it is cited as part of the “radicalisation pathway” that turns young men from bedroom shut-ins to mass murderers. For a long time, the site has removed content that includes explicit calls to action or violent hate speech. But it’s taken a softer touch with content that doesn’t breach those rules, but may lead vulnerable audiences to draw their own violent conclusions or seek out stronger content off-site.

In late 2017, it began to take serious action, acting for the first time to remove swaths of material that had previously fallen on the right side of that line – just. Videos featuring sermons by Anwar al-Awlaki, the radical preacher once known as the “YouTube Islamist”, were removed in their entirety. More than 50,000 were taken offline as a result, with most of those left up being about Awlaki, but not authored by him.

But Islamists are not the only extremists on YouTube. The site has also been blamed for its role in the radicalisation of neofascists and white supremacists. Just as with Islamic extremism, the most egregious content gets removed, but the pathway remains.

The situation seems unsustainable, however. If content can be removed because it contributes to radicalisation, even if it doesn’t directly contravene the site’s guidelines, then how can one class of radicalisation be treated differently from another?

Reality with all the trimmings: HoloGrid: Monster Battle, inspired by a scene from Star Wars. Photograph: HoloGrid: Monster Battle

AR’s less-than-killer app

Augmented reality currently feels like a hammer in search of a nail. The tech, which received a big boost with the release of iOS 11 in September 2017, lets developers overlay virtual items on top of the real world. You can hold your phone up to the night sky and see constellations on its screen or wave it around while playing Pokémon Go and watch Pikachu jump about like he’s really in the park.

But currently, the tech is floating in novelty territory and it looks like it will be hard to rescue that without something major coming to save it. Thankfully, unlike its sister technology virtual reality, AR doesn’t require any special hardware to use – just a relatively new phone running the latest operating system – which means that it doesn’t need to convince people to spend tens or hundreds of pounds on new gear.

Instead, AR just needs something fun or useful enough to keep people remembering that it’s a thing, at least until something actually good comes along. There are a lot of developers vying to fill that niche, but the ones with the best potential take something that people are already happy doing fairly physically and improve it. That means no to AR Twitter timelines and yes to AR boardgames.

There are already a few experiments that point the way, from AR-powered table-top war game The Machines to weird Star Wars-inspired chess variant HoloGrid: Monster Battle. None has quite nailed it, but they all demonstrate the potential. Imagine being able to sit at a real table with a real board and play a virtual game with friends and loved ones around the world. It would be… well, sort of crap, but at least it might be memorable.

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Lead Image: A bitcoin ATM in Hong Kong. The currency rose more than 20-fold in value in 2017. Photograph: Anthony Wallace/AFP/Getty Images

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Perfume Store Hides All Branding To Focus On The Scents http://ift.tt/2CtKjsM

Perfume Store Hides All Branding To Focus On The Scents

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Perfume Store Hides All Branding To Focus On The Scents

Perfumarie displays its perfumes without any branding to help customers choose scents without the influence of marketing

Perfume shoppers interested in avoiding the influence of brands and marketing can find a save haven in Perfumarie, a store where none of the products have any branding on them. Its owner, Mindy Yang, believes the system helps customers find fragrances more suitable for them without feeling silent pressure to purchase products with superior marketing.

Inside the store, customers will find a line of 32 different products for them to sample in the back. They can also take part in a small tour sampling all of these products before choosing their favorite two, which they may try on their skin. At the end of every month, Yang reveals what products were under the taps during a cocktail party.

The store opened in New York’s SoHo neighborhood in November 2017.

Perfumarie


Lead Image: Perfumarie via Facebook

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Peel-Off Labels Reveal The Story Behind This Wine http://ift.tt/2AoROQe

Peel-Off Labels Reveal The Story Behind This Wine

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Peel-Off Labels Reveal The Story Behind This Wine

Peel-Off Labels Reveal The Story Behind This Wine

Parts of the 3 Rios label can be peeled away to reveal details about the grapes and country where the wine is made

The best designs not only make the product look great from a distance, but also tell the customer the story behind it in an unexpected way. 3 Rios wine, made by Portuguese winemaker Anselmo Mendes, used a special peel-off bottle label in order to teach drinkers about the wine they are tasting.

The label has three lines meant to represent the three different rivers that irrigate the grapes in the wine. These can be peeled away to reveal their names, giving the bottle a unique look and interactive element. Created in partnership with Moço Wine Branding, the three rivers are key to the design, as they explain in a statement: “The Minho river with the Alvarinho vine variety, the Loureiro vine variety from the Lima river and the Avesso vine variety from the Douro river. The label ‘invites’ the consumer to discover the rivers using a detachable, looking for an interplay between the consumer and the wine history.”

Anselmo Mendes | Moço Wine Branding

+alcohol

+Design

+packaging

+wine

Marketing

via PSFK http://www.psfk.com/

Jack In The Box Partnered With A Weed Company To Create ‘Munchie Meals’ http://ift.tt/2E4Cv1h

Jack In The Box Partnered With A Weed Company To Create ‘Munchie Meals’

http://ift.tt/2CH3pQm

Jack In The Box Partnered With A Weed Company To Create ‘Munchie Meals’

Jack In The Box Partnered With A Weed Company To Create ‘Munchie Meals’

Jack in the Box partnered with cannabis digital media company Merry Jane to launch an exclusive new meal box in California

With more states in the U.S. legalizing recreational marijuana, larger companies are looking to get in on the action by partnering with cannabis brands. Fast food chain Jack in the Box teamed up with Merry Jane, a digital media company focused on weed, to create a new menu item called ‘Munchie Meals.’ The box meal comes with two tacos, five mini churros, three chicken strips, half a serving of curly fries and half a serving of regular fries, and a small drink of the customer’s choice. To hit all of the marketing beats, Jack in the Box priced the Merry Munchie Meal at $4.20.

This limited-time product will be available exclusively in select Long Beach, California Jack in the Box locations from January 18 to 25. California’s legalization of recreational marijuana went into effect on January 1.

Jack in the Box | Merry Jane

+cannabis

+Food

+Merry Jane

+retail

Marketing

via PSFK http://www.psfk.com/