The Keyword

  • Digital News Initiative: €20 million of funding for innovation in news

    In October 2015, as part of our Digital News Initiative (DNI)—a partnership between Google and news publishers in Europe to support high-quality journalism through technology and innovation—we launched the €150 million DNI Innovation Fund. Today, we’re announcing the recipients of the fourth round of funding, with 102 projects in 26 European countries being offered €20,428,091 to support news innovation projects. This brings the total funding offered so far to €94 million.

    In this fourth round, we received 685 project submissions from 29 countries. Of the 102 projects funded today, 47 are prototypes (early stage projects requiring up to €50,000 of funding), 33 are medium-sized projects (requiring up to €300,000 of funding) and 22 are large projects (requiring up to €1 million of funding).

    DNI_M7_Infographic.png

    In the last round, back in July, we saw a significant uptick in interest in fact checking projects. That trend continues in this round, especially in the prototype project category. In the medium and large categories, we encouraged applicants to focus on monetization, which led to a rise in medium and large projects seeking to use machine learning to improve content delivery and transform more readers into subscribers. Overall, 21 percent of the selected projects focus on the creation of new business models, 13 percent are about improving content discovery by using personalisation at scale. Around 37 percent of selected projects are collaborations between organizations with similar goals. Other projects include work on analytics measurement, audience development and new advertising opportunities. Here’s a sample of some of the projects funded in this round:

    [Prototype] Stop Propaghate - Portugal

    With €49,804 of funding from the DNI Fund, Stop Propaghate is developing an API supported by machine learning techniques that could help news media organizations 1) automatically identify if a portion of news reporting contains hate speech, and 2) predict the likelihood of a news piece to generate comments containing hate speech. The project is being developed by the Institute for Systems and Computer Engineering, Technology and Science (INESC TEC), a research & development institute located at University of Porto in Portugal.

    [Medium] SPOT - France

    Spot is an Artificial Intelligence-powered marketplace for curating, translating and syndicating valuable articles among independent media organizations, and is being developed by VoxEurop, a European news and debate website. With €281,291 of funding from the DNI Innovation Fund, Spot will allow publishers to easily access, buy and republish top editorial from European news organizations in their own languages, using AI data-mining technologies, summarization techniques and automatic translation technologies, alongside human content curation.

    [Large] ML-based journalistic content recommendation system - Finland

    Digital news media companies produce much more content than ever reaches their readers, because existing content delivery mechanisms tend to serve customers en masse, instead of individually. With €490,000 of funding from the DNI Innovation Fund, Helsingin Sanomat will develop a content recommendation system, using machine learning technologies to learn and adapt according to individual user behavior, and taking into account editorial directives.

    The recipients of fourth round funding were announced at a DNI event in London, which brought together people from across the news industry to celebrate the impact of the DNI and Innovation Fund. Project teams that received funding in Rounds 1, 2 or 3 shared details of their work and demonstrated their successes in areas like local news, fact checking and monetization.

    Since February 2016, we’ve evaluated more than 3,700 applications, carried out 935 interviews with project leaders, and offered 461 recipients in 29 countries a total of €94 million. It’s clear that these projects are helping to shape the future of high-quality journalism—and some of them are already directly benefiting the European public. The next application window will open in the spring. Watch out for details on the digitalnewsinitiative.com website and check out all DNI funded projects!

  • The Year in Search: the questions we asked in 2017

    As 2017 draws to a close, it’s time to look back on the year that was with our annual Year in Search. As we do every year, we analyzed Google Trends data to see what the world was searching for.

    2017 was the year we asked “how…?” How do wildfires start? How to calm a dog during a storm? How to make a protest sign? In fact, all of the “how” searches you see in the video were searched at least 10 times more this year than ever before. These questions show our shared desire to understand our experiences, to come to each other’s aid, and, ultimately, to move our world forward. 

    growth of how searches over time

    Many of our trending questions centered around the tragedies and disasters that touched every corner of the world. Hurricanes devastated the Caribbean, Houston and Florida. An earthquake struck Mexico City. Famine struck Somalia, and Rohingya refugees fled for safety. In these moments and others, our collective humanity shined as we asked “how to help” more than ever before.

    We also searched for ways to serve our communities. People asked Google how to become police officers, paramedics, firefighters, social workers, activists, and other kinds of civil servants. Because we didn’t just want to help once, we wanted to give back year round.

    Searches weren’t only related to current events—they were also a window into the things that delighted the world. “Despacito” had us dancing—and searching for its meaning. When it came to cyberslang like “tfw” and “ofc,” we were all ¯\_(ツ)_/¯. And, finally, there was slime. We searched how to make fluffy, stretchy, jiggly, sticky, and so many more kinds of slime….then we searched for how to clean slime out of carpet, and hair, and clothes.

    From “how to watch the eclipse” and “how to shoot like Curry,” to “how to move forward” and “how to make a difference,” here’s to this Year in Search. To see the top trending lists from around the world, visit google.com/2017.

    Search on.

  • Opening the Google AI China Center

    Since becoming a professor 12 years ago and joining Google a year ago, I’ve had the good fortune to work with many talented Chinese engineers, researchers and technologists. China is home to many of the world's top experts in artificial intelligence (AI) and machine learning. All three winning teams of the ImageNet Challenge in the past three years have been largely composed of Chinese researchers. Chinese authors contributed 43 percent of all content in the top 100 AI journals in 2015—and when the Association for the Advancement of AI discovered that their annual meeting overlapped with Chinese New Year this year, they rescheduled.

    I believe AI and its benefits have no borders. Whether a breakthrough occurs in Silicon Valley, Beijing or anywhere else, it has the potential to make everyone’s life better for the entire world. As an AI first company, this is an important part of our collective mission. And we want to work with the best AI talent, wherever that talent is, to achieve it.

    That’s why I am excited to launch the Google AI China Center, our first such center in Asia, at our Google Developer Days event in Shanghai today. This Center joins other AI research groups we have all over the world, including in New York, Toronto, London and Zurich, all contributing towards the same goal of finding ways to make AI work better for everyone.

    Focused on basic AI research, the Center will consist of a team of AI researchers in Beijing, supported by Google China’s strong engineering teams. We’ve already hired some top experts, and will be working to build the team in the months ahead (check our jobs site for open roles!). Along with Dr. Jia Li, Head of Research and Development at Google Cloud AI, I’ll be leading and coordinating the research. Besides publishing its own work, the Google AI China Center will also support the AI research community by funding and sponsoring AI conferences and workshops, and working closely with the vibrant Chinese AI research community.

    Humanity is going through a huge transformation thanks to the phenomenal growth of computing and digitization. In just a few years, automatic image classification in photo apps has become a standard feature. And we’re seeing rapid adoption of natural language as an interface with voice assistants like Google Home. At Cloud, we see our enterprise partners using AI to transform their businesses in fascinating ways at an astounding pace. As technology starts to shape human life in more profound ways, we will need to work together to ensure that the AI of tomorrow benefits all of us. 

    The Google AI China Center is a small contribution to this goal. We look forward to working with the brightest AI researchers in China to help find solutions to the world’s problems. 

    Once again, the science of AI has no borders, neither do its benefits.