Twipe - Technology trends shaping the future of news media
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The document discusses several technology trends that are shaping the future of news media, including increased investment in artificial intelligence and its applications such as personalized news distribution, assisting journalists, and combating fake news. Other trends mentioned are the rise of voice and audio technologies, blockchain, and measuring emotions.
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Twipe - Technology trends shaping the future of news media
- 1. Technology trends shaping the future of news media Danny Lein Founder & CEO Twipe Mobile Solutions contact@twipemobile.com - @TwipeMobile
- 2. News media strongly disrupted by tech giants
- 3. But … advertising dollars follow indeed eyeballs … to the tech companies
- 4. Source : Internet Trends Report 2017 Advertising dollars follow eyeballs
- 5. Direct reader revenues is #1 focus of newspapers Source: Reuters Institute Annual Predictions Report 2017
- 6. Investment in artificial intelligence
- 7. Decrease of data storage and increased availability of dedicated computing power drive growth of AI
- 8. Deep Learning: general purpose AI outperforms humans 2016 - Google DeepMind wins Alpha Go https://youtu.be/SUbqykXVx0A
- 10. AI to personalize news distribution
- 11. Toutiao - 1 million sources of content
- 16. 150.000 paying subscribers 600.000 registered users 12.000 new registrations / month 60% income from readers (x2) 150 rules and signals for personalization
- 17. 60 variables
- 19. 14 billion recommendations every month
- 21. “James,Your Digital Butler” Personalized distribution of editions using AI
- 22. AI to change news gathering and story generation
- 25. AI to generate stories
- 26. Oct 26 2017
- 33. AI to generate and combat fake news
- 41. Will blockchain save us?
- 45. Voice and audio on the rise
- 46. 70% of requests in Google Assistant are natural / conversational language Source : Internet Trends Report 2017
- 47. In-home voice controlled platforms show strong growth Source : Internet Trends Report 2017
- 48. Accuracy of voice recognition is close to human level Source : Internet Trends Report 2017
- 49. Top Amazon Echo Skills Source : Cnet Streaming Reading Timer Food ordering
- 51. Accuracy of voice recognition is close to human level Source : Internet Trends Report 2017
- 52. Emotion Measurement is the hot new frontier
- 55. So what?
- 56. • Content recommendations / personalization • News gathering • Fake news • Audio • AI to generate stories • AI to combat fake news • Emotion measurement • Blockchain
- 57. Intro toTwipe
- 58. Leading national and regional publishing groups across Europe trust us every day
- 60. We believe in the power of editions “Our readers love the curated order, finite experience and editorial choice of editions. In times of limitless information and limited time, editions provide the `valuable service of selection and judgement.” Alan Hunter Head of Digital TheTimes &The Sunday Times
- 61. Carefully designed reading experiences on web and mobile platforms
- 62. Your digital edition distributed in various forms with optimized reading experience on every device Replica+ The classic ePaper with Rich Media NextGen The HTML5 solution for all platforms News Digest The product designated for evening editions
- 63. Digital subscription growth fueled by Data and Artificial Intelligence
- 64. Daily insights on the performance of your editions delivered via mail, phone or newsroom dashboards
- 65. Questions? Suggestions? contact@twipemobile.com Twitter: @TwipeMobile Get your report here: http://bit.ly/twipe-research Need some more inspiration?
Editor's Notes
- Good afternoon. I am very honoured to be here today with you, to talk about a number of technology trends that most certainly will impact your business and your work in the next few months or years to come. But before diving a bit deeper in these exciting new stuff, let me first briefly introduce myself and my company Twipe.
- 1. JAMES 2. Robot Journalism 3. Toutiao 4.
- With the dot com boom in the late nineties, newspapers have in a hurry to put their most valuable assets, their paid content, available online, for free. Hoping that advertising dollars would follow the eye balls they created.
- But … advertising dollars indeed follow the eyeballs … to the tech companies. Google and Facebook now have more than 75% of all advertising revenues.
- And as a result, during recent years, publishers have changed their strategies and focus more than ever on generating direct reader revenues. This is one of the toughest challenges to solve for this industry.
- One of the most important trends today is the strong emergence of artificial intelligence in our daily lives.
- Knowing that Artifiical Intelligence already started back in the late 60’s, why has it so suddenly emerged the past few years. There are 2 important factors which enable this growth: 1. the strong decline of storage cost of data; and data is the raw material for artificial intelligence. Today we can really talk about an abundance of data. 2. But data is not enough, also the processing power, to execute algorithms that is available, and will become available is expanding exponentially.
- What is really new, is the emergence and better understanding of new techniques like Deep Learning. This form of artificial intelligence is able to learn itself to produce actions, learn from it and optimize itself. It is the precurosor of what is sometimes called General Purpose Articial Intelligence. Google DeepMind has played a prominent role in this development, by beating the best AlphaGo Player in 2016, using algorithms that have trained themselves.
- New industry is using AI in the following fields: (i) content recommendations, (ii) automating workflow, (iii) commercial optimization, (iv) helping journalist finding stories. Let’s dig a bit deeper into a number of these categories.
- The first area of IA in which news media are investing is Content Recommendations and Personalization.
- It is a news brand, available only on mobile phones, launch in 2012 by savvy computer engineers. It takes content from more than 1 million different content sources, and provides a highly personalized reading experience.
- From Day 1, Toutiao has had an extreme focus on Personalization and Content Recommendations. With any form of login, it is able to offer a personalized newsfeed, by tracking every single form of interactions of its users within the app. Personalization in less than 24 hrs, without social graph
- This combination results in a highly engaging user experience: users spend about 74 minutes every day in the Toutiao app, which is double the time of Instagram and 50% more than Facebook.
- As a result, Toutiao is one of the fastest growing new tech companies ever seen. In their first 4 years of existence, they have outpaced Google, Twitter and Facebook in terms of revenue generation. Their only source of revenues is advertising, of which a large part or shared with the content generators. Company valued at 22 bio USD (revenues of 2.2 bio USD in 2017)
- With close to 200 mio active users, toutiao has an estimated value of 22 bio USD…
- NZZ now has over 150,000 paying subscribers, over half of which have digital as part of their subscription. The site has nearly 600,000 registered users, growing with 10,000 and 12,000 each month. NZZ uses 100 to 150 rules that account for data like reading history, device and time of day to alter the messaging, text, placement and color of the pay prompt readers see. For instance, between 5 a.m. and 9 a.m. when people are commuting, they’re reading on their smartphones and won’t want to put in payment details, so no payment messages are shown during this time and people can freely access the site. NZZ gets 60 percent of its revenue from subscriptions and less than 40 percent from advertising. Roughly 10 years ago, direct reader revenue accounted for one-third of the total.
- The Wall Street Journal's paywall houses a machine-learning algorithm that measures reader activity across 60 variables including visit frequency, recency, depth, favoured devices and preferred content types. This forms a propensity score, a unique subscription probability, that then helps inform how many sample stories users can access. For the WSJ, the content is the output, not the input of the paywall.
- This has lead them to 3 mio subscribers
- Taboola: 2010: 20 people, now 800 people worldwide Content discovery platform 14 billion recommendations a month to 1 billion people/devices Less than 1 second Interesting fact: main industry investors are Daily Mail and Baidu More than 160mio USD in venture funding
- Netflix has probably the most experience with content personalization. With a team of 70 data scientist and machine learning engineers, they build sophistaced algorithms Our subscriber monthly churn is in the low single-digits, and much of that is due to payment failure, rather than an explicit subscriber choice to cancel service. Over years of development of personalization and recommendations, we have reduced churn by several percentage points. Reduction of monthly churn both increases the lifetime value of an existing subscriber and reduces the number of new subscribers we need to acquire to replace canceled members. We think the combined effect of personalization and recommendations save us more than $1B per year.
- Funded by Google DNI, we are currently at Twipe co-developing JAMES, together with The Times of London. JAMES is a digital butler, which will personalize the distribution of the edition, in terms of time, content, format and frequency. It is a collection of self learning algorithms that will help The Times achieve its very ambitious target of 1 mio subscribers by 2020.
- AI and machine learning will play a major role in Content recommendations and Personalization. But also in other areas of the news creation process, some important changes are underway.
- In the near future, we will not be able to see/know whether an article was written by a robot or a human being. Let’s go through some examples of real things, happening today.
- In the financial reporting, also Reuters I heavily investing in AI to identify quicker new stories for its team of analysts and reporters. The system will churn through massive datasets, looking for anything interesting: a fast moving stock price, intriguing changes in a market, or subtler patterns. Journalists are handed that information however they choose — in an email, messenger service, or via their data terminals when they sit down for a shift — alongside key context and background to help jumpstart their research if they think the story is worth pursuing. They can also enter a particular company into the system to get a quick overview, handy for background research and interview preparation.
- The Associated Press use Natural Language Generation to generate automatically earnings stories. Before, their editorial team could only cover a limited number of quoted companies (typically the larger ones), leaving a large untapped potential to also cover other companies. So they invested in Natural Language Generation (NLG) to produce quarterly earning reports.
- This has not been without impact.
- On Feb. 13 last year, the half-brother of North Korean dictator Kim Jong-Un was killed in an airport in Malaysia, in what the U.S. Department of State concluded was an assassination using a nerve agent. As North Korea and Malaysia were roiled in a diplomatic dispute, one entrepreneur in Japan and his budding news service were about to reap someattention. News of Kim Jong-Nam’s death was quickly picked up in Japan not by one of the country’s giant media conglomerates, but by a small startup. JX Press Corp., a news technology venture founded in 2008 by Katsuhiro Yoneshige while he was still a freshman in college, reported the incident more than half an hour faster than the big names, according to one observer. It did so even though it has no journalists, let alone any international bureaus. "NewsDigest got the scoop at 19:52, and TV stations had it about 20:30," sociologist Noritoshi Furuichi wrote on Twitter after reports of Kim’s death. "Television has succumbed to being a slow media.” JX Press has some high-profile financial backers, including Japanese media giant Nikkei Inc. and venture capital companies Mitsubishi UFJ Capital Co. and CyberAgent Ventures Inc. Its clients include many of Japan’s biggest broadcasters, such as NHK, TV Asahi and Fuji Television, all of which pay a monthly subscription -- which Yoneshige declines to disclose -- to use Fast Alert.
- Want your news delivered with the icy indifference of a literal robot? You might want to bookmark the newly launched site Knowhere News. Knowhere is a startup that combines machine learning technologies and human journalists to deliver the facts on popular news stories. Here’s how it works. First, the site’s artificial intelligence (AI) chooses a story based on what’s popular on the internet right now. Once it picks a topic, it looks at more than a thousand news sources to gather details. Left-leaning sites, right-leaning sites – the AI looks at them all. Then, the AI writes its own “impartial” version of the story based on what it finds (sometimes in as little as 60 seconds). This take on the news contains the most basic facts, with the AI striving to remove any potential bias. The AI also takes into account the “trustworthiness” of each source, something Knowhere’s co-founders preemptively determined. This ensures a site with a stellar reputation for accuracy isn’t overshadowed by one that plays a little fast and loose with the facts. https://futurism.com/ai-journalist-media-bias-news-knowhere/
- https://www.youtube.com/watch?time_continue=39&v=ohmajJTcpNk
- The Fake News Challenge released data sets for teams to use, with 50 teams submitting entries. Talos Intelligence, a cybersecurity division of Cisco, won the challenge with an algorithm that got more than 80 percent correct—not quite ready for prime time, but still an encouraging result. The next challenge might take on images with overlay text (think memes, but with fake news), a format that is often promoted on social media, since its format is harder for algorithms to break down and understand. https://www.technologyreview.com/s/609717/can-ai-win-the-war-against-fake-news/
- 1. JAMES 2. Robot Journalism 3. Toutiao 4.
- A blockchain is a digital ledger, which allows to exchange encrypted information, share data, peer to peer, with a decentralized trust.
- Civil is a fast-growing community of top journalists and technologists, working together to build a home for trustworthy, sustainable journalism. Civil is a place for ethical, high-quality journalism. People can use CVL tokens to vote and thwart bad actors or propose improvements to how it works. The Civil Constitution defines ethical journalism on Civil
- Founded by the former vice president of innovation at The Washtington Post. Po.et is building an open, universal ledger. It records immutable and timestamped information about creative content.
- News Over Audio Own voices Independent, Financial Times, Bloomberg, Irish Times Spotify model with subscription Car manufacturers’ interest The company’s professional human narrators read articles from your favourite publications and topics while you’re on the go. The idea is that it delivers the important stuff you need to know to your ears, when your eyes are busy. “Ultimately, we’re very happy with the final output, which runs to about 3 minutes per briefing and cover 5 topics. The final topic each day tends to be a little bit lighter which helps set you up for the day.
- 1. JAMES 2. Robot Journalism 3. Toutiao 4.
- Today we operate a Software-as-a-Service Platform, which is used by leading publishers in 6 countries.
- Our mission is to help newspaper publishers engage more readers on their digital editions. We also are heavily focused on increasing their subscriber revenues.
- We do this by offering reading experiences of ePapers or digital edtions adapted to the mobile devices.
- Since the past 3 years, we are also heavily investing in tracking detailed reading behavior and using machine learning and artificial intelligence to engage more readers, inform newsroom and digital managers. As you all know, our industry is since the past 10-15 years heavily disrupted.