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Asociación Técnica de Diarios Latinoamericanos


Boletín Semanal septiembre 20, 2020

Add blockers

As ad block technology continues to improve, publishers have rallied together through trade groups to collectively address this existential threat to their business model. Better ad practices and improved mobile experiences (like AMP pages) seem to be working.

According to a recent study from the Association of Online Publishers, rates of ad blocking have plateaued but the loss of revenue to publishers is still a significant concern. Examples Ad blocking is mostly a desktop phenomenon however rates of mobile ad blocking have seen modest increases. Ad blocking is much higher outside the US, particularly in Europe and Asia. 18% of US uses some form of ad blocking software, the vast majority on desktop devices. Ad block penetration is higher in other countries like India (28%), Indonesia (58%), Germany (29%), and Canada (25%). In 2017 and 2018, advertisers pushed back against giants like Google and Facebook for their “dirty digital” products. Advertisers like Unilever and P&G called out Facebook for ad fraud (clickbots) and Google was under pressure to improve brand safety measures on platforms like YouTube where ads were run against ISIS videos or on channels promoting Nazis, pedophilia, and white supremacy.

In light of scandals like Cambridge Analytica and regulation like GDPR, consumers are growing increasingly sensitive about how their data is used and publishers have to be more thoughtful about how they track and store user data. Tech-savvy customers have every reason to be suspicious of spammy ads. Security firm Confiant found that fake ads containing malware and ransomware were on major media sites such as the New York Times and the BBC.

Publishers are blocking ad blockers with two main strategies: indirectly by improving quality of ads and user experience, and more directly by detecting blockers, disabling ad blocker scripts and obfuscating ads. Publishers (Google, FB, Alexa top 100K sites) have adopted better ad practices such as IAB/ LEAN guidelines and Coalition for Better Ads. Both outline compliant formats restricting ad dimensions, CPU (central processing usage), and features (surprise: autoplay and pop ups are not on the list!). Trade groups like the IAB Ad Blocking Working Group and the Acceptable Ads Committee provide resources, best practices and research for publishers to deter ad blocking on their sites or get their sites whitelisted by ad blockers.

Upon detecting ad blockers, many sites will ask users to Ad Blockers The rates of ad blocking have plateaued but the loss of revenue to publishers is still a significant concern. In the most extreme case, Salon.com gave visitors the option to whitelist their site or allow Salon to mine cryptocurrency using the users spare CPU. In the past two years, Facebook has introduced features that allow users to give feedback on ads, report abusers and bad actors and increase transparency around sensitive issues such as political ads. Projects like Accelerating Mobile Pages (AMP), have vastly improved the performance of pages and advertisements on mobile. Since its introduction in 2015, 31 million sites have adopted AMP including publishers like Twitter, WordPress and LinkedIn. Post-GDPR, Google has announced it will stop mining gmail for user data and non-personal data ad targeting products. Traditionally, ad blockers work by using manually curated filter lists. These lists contain sets of rules that automatically remove unwanted content such as advertisements, trackers and malware while the page is loading. These lists are open-sourced and maintained by a decentralized army of volunteers.

Since 2016, Facebook has actively fought against ad blockers by obfuscating its ad units as regular content, this has led to a mini arms race with ad blockers developing more sophisticated approaches to detect ads. One of the more sophisticated approaches, as described by a group of researchers at Princeton University, is perceptual ad blocking. Perceptual ad blocking relies on the regulatory disclosures/ disclaimers that are required by the Federal Trade Commission (FTC) endorsement guidelines. This includes using OCR to detect words like “Ad” or “Sponsored post”.

Publishers are fighting back with ad reinsertion software like PageFair and Sourcepoint. What’s Next Historically, security and privacy concerns have been the top motive for ad blocking. Digital ads can spread viruses and malware and they can also store cookies to track and monitor activity across multiple webpages. Too many ads can also lead to slower load times, cluttered sites and higher data usage. Most ad blocking software works at the browser level, with plugins such as ad blocker or special browsers such as Brave, Firefox, and Chrome Canary. Pi-hole is a network-based ad blocker that launched in 2014 and has amassed a cult following of devoted users and developers. Pi-hole blocks ads everywhere on the network: browsers, apps, IoT devices. As everyday consumers become more aware of invasive and predatory advertising tactics, they may turn to projects like Pi-Hole for transparency and privacy.

Leaked documents show Facebook targeting teens with low self-esteem for beauty and skin care products and new Roomba models can map out homes and floor plans. Publishers are exploring alternatives to ad-based revenue streams and other ways to monetize content, but success has been slow. Google introduced Google Contributor in 2014 as a way for readers to pay microfees to publishers based on how often they visit.

Cuando exactamente se debe tomar acción con nuevas tecnologías

We encourage you to use our Tech Trends Report as the basis for strategic meetings — as long as you commit to taking incremental action right away. Many organizations prefer to take a “wait and see” approach after seeing new research, and that’s a mistake. Your team must take some action, even if it’s small, to build momentum so that you may confront the future on your own terms. We recognize how difficult it is to take risks during a time of economic uncertainty. However the future of journalism, media and technology requires courageous leadership right now. For that reason, the Future Today Institute created a simple framework to help you continually monitor technology as it moves from the fringe to the mainstream. Focus on taking incremental action often as you think more exponentially. Incremental actions will position your organization to make smarter strategic decisions in advance, rather than trying to play catch-up after a disastrous event. This is our framework, and we encourage your organization to use it as you read through our report.

Learning Stage As we research and test this new technology, what can we learn and apply to our organization? What must we do now to keep ahead of the trend? Sample Action Devote an all-hands day to investigating this trend. Invite people from all departments within your organization to participate. Bring in outsiders

Listening For Signals At The Horizon Emerging but bona-fide technology and trends; uncertain trajectory and timeline; ecosystem forming; market forming. Sample Action Assign one member of your team to be the resident expert on the tech trend. Have them send notes to the rest of the team on a regular basis.

Listening For Signals At The Horizon Emerging but bona-fide technology and trends; uncertain trajectory and timeline; ecosystem forming; market forming. Sample Action Assign one member of your team to be the resident expert on the tech trend. Have them send notes to the rest of the team on a regular basis.

Developing Ideas Stage How can we develop a new product or service that leverages the technology, even as the market is still evolving? How can we assess possible risk and implications in a meaningful way? Sample Action Facilitate a scenarios workshop, with a goal of identifying probable

Inteligencia artificial es la tercera era de los computadores

Artificial Intelligence (AI) itself isn’t the trend—it is too broad and important to monitor without distinguishing between signals. For that reason, we have identified different themes within AI that you should be following. What You Need To Know About AI.

The roots of modern artificial intelligence extend back hundreds of years, long before the Big Nine were building AI agents with names like Siri, Alexa and Tiān Māo. Throughout that time, there has been no singular definition for AI, like there is for other technologies. When it comes to AI, describing it concretely isn’t as easy, and that’s because AI represents many things, even as the field continues to grow.

What passed as AI in the 1950s—a calculator capable of long division—hardly seems like an advanced piece of technology today. This is what’s known as the “odd paradox”—as soon as new techniques are invented and move into the mainstream, they become invisible to us. We no longer think of that technology as AI. In its most basic form, artificial intelligence is a system that makes autonomous decisions.

The tasks AI performs duplicate or mimic acts of human intelligence, like recognizing sounds and objects, solving problems, understanding language, and using strategy to meet goals. Some AI systems are enormous, like performing millions of computations quickly—while others are narrow and intended for a single task, like catching foul language in emails. There are nine big tech companies— six American, and three Chinese—that are overwhelmingly responsible for the future of artificial intelligence.

They are Google, Amazon, Microsoft, Apple, IBM and Facebook in the U.S., and Baidu, Alibaba and Tencent in China. Just nine companies are primarily responsible for the overwhelming majority of research, funding, government involvement and consumer-grade applications. University researchers and labs rely on these companies for data, tools and funding. So do news organizations—and we all use their products and services. The Big Nine are also responsible for mergers and acquisitions, funding AI startups, and supporting the next generation of developers.

Artificial Intelligence Is The Third Era of Computing. The best way to think of AI isn’t as a particular tool, software application or spoken interface. AI represents the next era of computing, after the tabulating era (very early computers) and the programmable systems era. There Are Different Categories Of AI There are two kinds of AI—weak (or “narrow”) and strong (or “general”).

The anti-lock breaks in your car, the spam filter and autocomplete functions in your email, and the recommendations that Amazon and Spotify make are all examples of artificial narrow intelligence. Maeve and Dolores in Westworld, the Samantha operating system in Her, and the H.A.L. supercomputer from 2001: A Space Odyssey are anthropomorphized representations of artificial general intelligence (AGI)—but actual AGI doesn’t necessarily require humanlike appearances or voices.

Systems capable of general decision-making and automation outside of narrow specialties (DeepMind beating a world champion Go master) is an example of early, limited AGI. AI, Neural Networks and Deep Neural Networks A neural network is the place where information is sent and received, and a program is the set of meticulous, step-by-step instructions that tell a system precisely what to do so that it Artificial Intelligence will accomplish a specific task. How you want the computer to get from start to finish—essentially, a set of rules—is the “algorithm.” A deep neural network is one that has many hidden layers. There’s no set number of layers required to make a network “deep.” Deep neural networks tend to work better and are more powerful than traditional neural networks (which can be recurrent or feedforward).

AI, Machine Learning and Deep Learning Machine learning programs run on neural networks and analyze data in order to help computers find new things without being explicitly programmed where to look. Within the field of AI, machine learning is useful because it can help computers to predict and make real-time decisions without human intervention. Deep learning is a relatively new branch of machine learning. Programmers use special deep learning algorithms alongside a corpus of data––typically many terabytes of text, images, videos, speech and the like. Often, these systems are trained to learn on their own. In practical terms, this means that more and more human processes will be automated. Including the writing.

Tecnología de la próxima generación

We explore emerging technologies that could be extremely powerful in the future.

  1. The Blockchain Much has been written about cryptocurrencies and the blockchain technology that underpins them. This is essentially a system in which a number of different computers contribute to a timestamped, secure, permanent and public ledger – thus allowing for automated transactions that many believe will make business radically cheaper and easier. So far the system is best known for facilitating speculative currencies, but could it do more? Could it help secure the future of journalism? Civil Media is a non-profit start up that aims to do just that, to help news outlets raise money from readers and investors while also providing new tools to monetise journalism. Civil is currently supporting more than a dozen newsrooms with significant grants, including local and investigative news outlets, even though its initial token sale spectacularly failed to reach its target. A new ‘simpler’ token sale is a planned for 2019. 55 Participating newsrooms also sign up to the Civil Constitution, which defines the values and standards expected of the community. Civil credibility labels provide further detail about processes and sourcing of a particular story. The Civil initiative is just one way of using blockchain technology, In theory, it could also unlock micropayments for individual stories or authors by doing away with credit card and inter-banking fees that currently make these impractical. This could open the way for lower cost, and more diverse models to flourish that don’t require paywalls or advertising. Another media-focused start-up, po.et, is specialising in mapping blockchain and cryptocurrencies to current industry standards in media and publishing to allow text, video or pictures to be licensed in this way. This could make it easier to syndicate and manage content for different territories, with the process of managing rights effectively automated. And then there is the Holy Grail of verification. In theory it might be possible to construct and crowd-source real-time ledgers of the truthfulness of an individual piece of content, perhaps by getting the community to vote on it. This is much more contentious and the association with volatile crypto currencies is likely to distract from the potential of these technologies – a situation which is likely to persist through 2019.
  1. Smartphone manufacturers bet on foldable phones and 5G networks Smartphone sales declined for the first time ever last year after growing at an average of 16% between 2012 and 2017. The market is close to saturation and consumers are holding on to their phones for longer. One consequence of this is higher prices. Apple’s latest iPhones sell for an eyewatering $1,000 or more and it is possible we’ll see the first $2,000 price tag this year as the first foldable and 5G phones come on stream. The world’s largest manufacturer, Samsung, is looking to revive its fortunes with new Galaxy models and a foldable phone early in 2019. It has consistently been losing ground to Chinese rivals like Huawei and Xiaomi. Other innovations this year are likely to be fingerprint sensors build into screens and hole punch camera mounts. Huawei hole-punch camera screen. Folding phones could double screen size Meanwhile phone companies will be looking to shift their business models away from volatile hardware sales towards subscription packages. Expect to see more phones essentially leased using services like the Apple upgrade programme. More speed – but do we need it? 5G networks can transfer data dozens of times faster than the fourth-generation networks in use now. This will enable quicker browsing, high quality video streaming but also make it possible to connect more devices at the same time. In most countries the handsets will be available before widespread network coverage. Verizon is leading the charge in the US, hoping to offer 5G coverage, while in the UK the West Midlands is getting £75m of public money to trial the new technology. This may involve using 5G to live stream CCTV coverage from buses to enable traffic police to respond more quickly to incidents. For news organisations, 5G will eventually enable reliable high-definition mobile reporting and access to the cameras of citizen journalists in breaking news situations. Faster speeds and better screens will also accelerate the push to personalised news, mobile formats and visual journalism.
  1. Ultra High Definition TV NHK launched its 4K and 8K channels in Japan in December 2018, delivering eye-opening ultrahigh-definition programming on schedule. This is part of NHK’s preparation for the Olympic Games in Tokyo in 2020. Initial programming includes classical music concerts, works of art, dramas and nature programmes and scenes from the International Space Station in cooperation with NASA.
  1. VR (Virtual Reality) and AR (Augmented Reality) for Journalism VR headset sales continue to disappoint while more accessible AR technologies are beginning to gain traction, especially in e-commerce. Some large media companies continue to experiment with both these technologies, notably the New York Times and the BBC, but for many other publishers the level of usage does not yet justify significant investment. The majority of consumption is for content that can be easily viewed on mobile devices without additional plugins – such as 360 video and 3D experiences. In November the New York Times immersive team captured the Statue of Liberty torch, ahead of its move for restoration. The BBC streamed all 33 World Cup games in VR with its app downloaded more than 300,000 times. Meanwhile, in December it released a three-part VR documentary about the Congo river, a sequel to last year’s documentary about the water politics of the Nile.