Alphabet's Google unveiled a series of planned upgrades to its search and maps services revealing the company's augmented reality ambitions -- and its appeal to a generation of internet users drifting away from the company. From a report: The new features include ways for people to search for nearby items using images and identify physical objects with their smartphone cameras. On Google Maps, the company promised a way for people to explore detailed 3D digital models of landmarks and neighborhoods before setting foot in person. Google shared the plans on Wednesday for the first day of its annual I/O developer conference held near its Mountain View, California headquarters.

Google is working to keep its products relevant and growing as users' needs evolve beyond text. "Search should be something that you can do anywhere, in any way you want, using any of your senses," Prabhakar Raghavan, Google's senior vice president and product chief, said in an interview. Google's core search advertising business has continued to grow steadily during the pandemic, despite recent middling financial results. Yet the I/O announcements underscored nascent threats Google sees to its flagship services. People in emerging markets are more likely to search with voice features than typing, which has driven Google to invest more in its voice assistant feature.

DuckDuckGo, a privacy-oriented search engine, netted more than 35 billion search queries in 2021, a 46.4% jump over 2020 (23.6 billion). From a report: That's big. Even so, the company, which bills itself as the "Internet privacy company," offering a search engine and other products designed to "empower you to seamlessly take control of your personal information online without any tradeoffs," remains a rounding error compared to Google in search. Whether it remains a highly successful (and profitable) rounding error, however, could depend on how serious we become about the privacy of our searches.

Google has announced that it's changing the way search works on mobile devices, initially in the U.S. From a report: Now, when you reach the bottom of a set of search results on your phone, you won't have to tap to go to the next page. Instead, the next set of results will automatically load so you can continuously scroll down to see more information. The change will roll out on the mobile web and will be supported on the Google mobile app for both iOS and Android in the U.S. for most English-language searches for the time being. Because it's a staggered release, you may initially encounter some results which scroll and others that do not.

At its Search On event today, Google introduced several new features that, taken together, are its strongest attempts yet to get people to do more than type a few words into a search box. From a report: By leveraging its new Multitask Unified Model (MUM) machine learning technology in small ways, the company hopes to kick off a virtuous cycle: it will provide more detail and context-rich answers, and in return it hopes users will ask more detailed and context-rich questions. The end result, the company hopes, will be a richer and deeper search experience. Google SVP Prabhakar Raghavan oversees search alongside Assistant, ads, and other products. He likes to say -- and repeated in an interview this past Sunday -- that "search is not a solved problem." That may be true, but the problems he and his team are trying to solve now have less to do with wrangling the web and more to do with adding context to what they find there.

For its part, Google is going to begin flexing its ability to recognize constellations of related topics using machine learning and present them to you in an organized way. A coming redesign to Google search will begin showing "Things to know" boxes that send you off to different subtopics. When there's a section of a video that's relevant to the general topic -- even when the video as a whole is not -- it will send you there. Shopping results will begin to show inventory available in nearby stores, and even clothing in different styles associated with your search. For your part, Google is offering new ways to search that go beyond the text box. It's making an aggressive push to get its image recognition software Google Lens into more places. It will be built into the Google app on iOS and also the Chrome web browser on desktops. And with MUM, Google is hoping to get users to do more than just identify flowers or landmarks, but instead use Lens directly to ask questions and shop.

Google is so successful that it's the most searched for term on Microsoft's Bing search engine, the company's lawyer told a European Union court on Tuesday. From a report: "We have submitted evidence showing that the most common search query on Bing is by far Google," Alfonso Lamadrid, a lawyer for the Alphabet unit, said at the EU's General Court in Luxembourg. The tech giant has asked EU judges to overturn a record $5 billion fine and strike down a 2018 antitrust order that said Google unfairly pushed its search app on mobile phones running its Android software.

An anonymous reader shares a report: If you've ever tried searching on Google for one of those TikTok or Instagram videos all your friends are gushing about -- such as sea shanties or the Renegade dance -- you'll notice something. The videos don't show up. Google is trying to fix that -- but there's no guarantee its efforts will succeed. Google executives have been quietly negotiating with their counterparts at the video apps' parent companies, ByteDance for TikTok and Facebook for Instagram, to get the data it needs to index and rank videos, according to three people who were briefed about the discussions. Right now, the best results users typically see when they search are previews of videos from Google-owned YouTube, which at times hosts lower-quality copies or ripoffs of TikTok and Instagram videos. The talks show how Google is trying to keep its search engine relevant with more users as it faces new competition and regulatory threats.

It's long been known that Google pays Apple a hefty sum every year to ensure that it remains the default search engine on iPhone, iPad, and Mac. Now, a new report from analysts at Bernstein suggests that the payment from Google to Apple may reach $15 billion in 2021, up from $10 billion in 2020. 9to5Mac reports: In the investor note, seen by Ped30, Bernstein analysts are estimating that Google's payment to Apple will increase to $15 billion in 2021, and to between $18 billion and $20 billion in 2022. The data is based on "disclosures in Apple's public filings as well as a bottom-up analysis of Google's TAC (traffic acquisition costs) payments." Bernstein analyst Toni Sacconaghi says that Google is likely "paying to ensure Microsoft doesn't outbid it." The analysts outline two potential risks for the Google payment to Apple, including regulatory risk and Google simply deciding the deal is no longer worth it:

In an interview earlier this year, Apple's senior director of global privacy Jane Horvath offered reasoning for the deal, despite privacy concerns: "Right now, Google is the most popular search engine. We do support Google but we also have built-in support for DuckDuckGo, and we recently also rolled out support for Ecosia."

Google has launched an interactive and 3D periodic table of chemical elements to help students learn chemistry. Somag News reports: The new functionality is being integrated into the Google Nest Hub device to encourage chemistry students, but it can now be accessed from any desktop or mobile phone via this link. As there are a multitude of periodic table models available on the internet, Google took care to make yours different, offering some extra features. In Google's interactive periodic table, in addition to searching everything that is known about any chemical element, such as atomic mass and melting point, it will be possible to observe the number of electrons in the last layer rotating around the atomic nucleus through a 3D rendering. Also on display are some trivia like "Lithium is a metal, but it's so soft it can be cut with a knife."

The periodic table is coming in a bundle of Google Assistant updates designed to make family tasks easier, including creating reminders for the Family Bell. This feature, currently only available on smart screens and speakers, will reach the screens of all Android devices in a few weeks.

Alphabet's Google will now show its search engine users more information about why it found the results they are shown, the company said on Thursday. From a report: It said people googling queries will now be able to click into details such as how their result matched certain search terms, in order to better decide if the information is relevant.

Search Atlas makes it easy to see how Google offers different responses to the same query on versions of its search engine offered in different parts of the world. From a report: The research project reveals how Google's service can reflect or amplify cultural differences or government preferences -- such as whether Beijing's Tiananmen Square should be seen first as a sunny tourist attraction or the site of a lethal military crackdown on protesters. Divergent results like that show how the idea of search engines as neutral is a myth, says Rodrigo Ochigame, a PhD student in science, technology, and society at MIT and cocreator of Search Atlas. "Any attempt to quantify relevance necessarily encodes moral and political priorities," Ochigame says. Ochigame built Search Atlas with Katherine Ye, a computer science PhD student at Carnegie Mellon University and a research fellow at the nonprofit Center for Arts, Design, and Social Research.

Just like Google's homepage, the main feature of Search Atlas is a blank box. But instead of returning a single column of results, the site displays three lists of links, from different geographic versions of Google Search selected from the more than 100 the company offers. Search Atlas automatically translates a query to the default languages of each localized edition using Google Translate. Ochigame and Ye say the design reveals "information borders" created by the way Google's search technology ranks web pages, presenting different slices of reality to people in different locations or using different languages.

Sridhar Ramaswamy and Vivek Raghunathan helped turn Google into an ad giant. Now they're starting over with a service whose only customers are its users. From a report: A new search engine? One that people have to pay to use? At first blush, it may seem like a textbook example of a startup idea destined never to get anywhere. By definition, any new search engine competes with Google, whose 90 percent-plus market share leaves little oxygen for other players. And we've been accustomed to getting our search for free since well before there was a Google -- which might make paying for it sound like being expected to purchase a phone book. But Neeva is indeed a new search engine, officially launching today, that carries a subscription fee.

Though it's extremely similar to Google in many respects -- with a few twists of its own -- it dumps the web giant's venerable ad-based business model in the interest of avoiding distractions, privacy quandaries, and other compromises. It's free for three months -- long enough for users to grow accustomed to it without obligation -- and $4.95 a month thereafter. Apps for iPhones and iPads, and browser extensions for Chrome, Firefox, Safari, Edge, and Brave, are part of the deal. Neeva may have a certain whiff of improbability about it, but its cofounders, Sridhar Ramaswamy and Vivek Raghunathan, are the furthest thing from naifs. Two long-time Google executives with more than a quarter-century of experience at the web giant between them, they have an insider's understanding of how it operates. Moreover, about 30 percent of the roughly 60-person staff they've assembled at Neeva consists of ex-Googlers, including Hall-of-Famers such as Udi Manber (a former head of Google search) and Darin Fisher (one of the inventors of Chrome). They've also secured $77.5 million in funding, including investments from venture-capital titans Greylock and Sequoia.

Google has started warning users when they search for a topic that is likely to have poor results, as part of its effort to tackle "data voids" on the search engine. From a report: The new warning was spotted by Renee DiResta, an academic who studies misinformation at Stanford University. "It looks like these results are changing quickly," Google will now caution users. "If this topic is new, it can sometimes take time for results to be added by reliable sources. First time I've seen this response from Google Search," DiResta said. "Positive step to communicating that something is newsy/breaking (my search was for a breaking culture war story), and highlighting that facts are not all known or consensus on what happened is still being formed."

While social media is regularly linked with misinformation, researchers have long cautioned that search engines can be powerful tools for spreading falsehoods. Data voids, search engine queries that have little to no results, can often lead to fringe claims being given undue prominence -- a particular concern for breaking news. In a blogpost, Danny Sullivan, public liaison for search at Google, said: "We've trained our systems to detect when a topic is rapidly evolving and a range of sources hasn't yet weighed in. We'll now show a notice indicating that it may be best to check back later when more information from a wider range of sources might be available."

Brave, the maker of a popular ad blocking browser, opened on Tuesday a public beta of its privacy-focused search engine, a first step in creating a product that could compete with market titan Google. From a report: Unlike other new search engines, which generally repackage results from Google and Microsoft's Bing, Brave is building an independent index of the web. (Brave Search will rely on Bing in some areas, like images, where its own results aren't yet good enough.) Initially, Brave Search won't show ads -- the chief way that Google monetizes its search results. Later, it'll offer free, ad-supported search and a paid option with no ads.

An anonymous reader shares a report: Google CEO Sundar Pichai last month previewed an artificial intelligence model that he said would enable people to have open-ended conversations with technology. But current and former employees who have worked with the language model say enabling coherent, free-flowing and accurate dialogue between humans and technology remains a tall order. As a result, Google is taking a more incremental step in conversational AI by preparing to teach foreign languages through Google Search [Editor's note: the link may be paywalled; alternative source], according to people involved in the work. The project, referred to internally as Tivoli, grew out of its Google Research unit and is likely to be rolled out later this year. It will initially work over text, and the exact look and feel of the instruction couldn't be learned.

Googlers are also discussing ways to eventually add the functionality to its voice assistant and YouTube product lines. In YouTube, for example, it could generate language quizzes where viewers record themselves after watching a video and the AI provides an assessment of how they performed. A Google spokesperson did not have a comment. Teaching foreign languages allows Google to move more fluid, conversational AI beyond silly exchanges to a practical-use but low-stakes case, the people said. Using the wrong tense or phrase would be unlikely to cause serious harm to users. AI researchers have for decades worked to foster dialogue between computers and humans that feels real, picks up the nuance of how people communicate and simplifies tasks. Such aspirational technology has been featured in movies like "Her" in which a man communicates with -- and falls in love with -- a virtual assistant.

Google is changing its algorithm as part of a major shift in how Google polices harmful content. From a report: For many years, the vicious cycle has spun: Websites solicit lurid, unverified complaints about supposed cheaters, sexual predators, deadbeats and scammers. People slander their enemies. The anonymous posts appear high in Google results for the names of victims. Then the websites charge the victims thousands of dollars to take the posts down. This circle of slander has been lucrative for the websites and associated middlemen -- and devastating for victims.

Now Google is trying to break the loop. The company plans to change its search algorithm to prevent websites, which operate under domains like BadGirlReport.date and PredatorsAlert.us, from appearing in the list of results when someone searches for a person's name. Google also recently created a new concept it calls "known victims." When people report to the company that they have been attacked on sites that charge to remove posts, Google will automatically suppress similar content when their names are searched for. "Known victims" also includes people whose nude photos have been published online without their consent, allowing them to request suppression of explicit results for their names. The changes -- some already made by Google and others planned for the coming months -- are a response to recent New York Times articles documenting how the slander industry preys on victims with Google's unwitting help.

Ever wish you could delete the last thing you searched for on Google? Now Google will let you. From a report: Google announced the new feature Tuesday during its I/O software conference, part of a package of privacy controls the Alphabet company is pushing out to appease consumers and regulators. Users now can tap on a tab inside their Google accounts to remove the last fifteen minutes of search history. The company has offered a feature to clear search histories, but people have found that data useful for tools like Maps or been unaware of the ability to delete it. The new ways to give people more privacy controls come after years of scrutiny on the search giant's behavior. "We never sell your personal information to anyone," Jen Fitzpatrick, a Google senior vice president, said at the virtual event. "It's simply off limits."

An anonymous reader quotes a report from MIT Technology Review: In 1998 a couple of Stanford graduate students published a paper describing a new kind of search engine: "In this paper, we present Google, a prototype of a large-scale search engine which makes heavy use of the structure present in hypertext. Google is designed to crawl and index the Web efficiently and produce much more satisfying search results than existing systems." The key innovation was an algorithm called PageRank, which ranked search results by calculating how relevant they were to a user's query on the basis of their links to other pages on the web. On the back of PageRank, Google became the gateway to the internet, and Sergey Brin and Larry Page built one of the biggest companies in the world. Now a team of Google researchers has published a proposal for a radical redesign that throws out the ranking approach and replaces it with a single large AI language model, such as BERT or GPT-3 -- or a future version of them. The idea is that instead of searching for information in a vast list of web pages, users would ask questions and have a language model trained on those pages answer them directly. The approach could change not only how search engines work, but what they do -- and how we interact with them.

[Donald Metzler and his colleagues at Google Research] are interested in a search engine that behaves like a human expert. It should produce answers in natural language, synthesized from more than one document, and back up its answers with references to supporting evidence, as Wikipedia articles aim to do. Large language models get us part of the way there. Trained on most of the web and hundreds of books, GPT-3 draws information from multiple sources to answer questions in natural language. The problem is that it does not keep track of those sources and cannot provide evidence for its answers. There's no way to tell if GPT-3 is parroting trustworthy information or disinformation -- or simply spewing nonsense of its own making.

Metzler and his colleagues call language models dilettantes -- "They are perceived to know a lot but their knowledge is skin deep." The solution, they claim, is to build and train future BERTs and GPT-3s to retain records of where their words come from. No such models are yet able to do this, but it is possible in principle, and there is early work in that direction. There have been decades of progress on different areas of search, from answering queries to summarizing documents to structuring information, says Ziqi Zhang at the University of Sheffield, UK, who studies information retrieval on the web. But none of these technologies overhauled search because they each address specific problems and are not generalizable. The exciting premise of this paper is that large language models are able to do all these things at the same time, he says.

The developers behind Niagara Launcher, a popular third-party home screen replacement app, have found new evidence in the Android 12 preview documentation, which suggests that Google is adding a new device search API in Android 12 that will let third-party launchers offer a similar universal search feature. XDA Developers reports: [T]he feature will give third-party launchers "access to the centralized AppSearch index maintained by the system." It further highlights that the AppSearch index is a search library for managing structured data featuring: A fully offline on-device solution; A set of APIs for applications to index documents and retrieve them via full-text search; APIs for applications to allow the System to display their content on the system UI surfaces; and Similarly, APIs for applications to allow the System to share their content with other specified applications. This feature will essentially provide a native alternative to universal search apps like Sesame, giving users the option to search for almost anything on their device in an instant.

AmiMoJo shares a report: In August of 2019, I published research from now-defunct clickstream data provider, Jumpshot, showing that 50.33% of all Google searches ended without a click to any web property in the results. Today, thanks to new data from SimilarWeb, I've got a substantive update to that analysis. From January to December, 2020, 64.82% of searches on Google (desktop and mobile combined) ended in the search results without clicking to another web property. That number is likely undercounting some mobile and nearly all voice searches, and thus it's probable that more than 2/3rds of all Google searches are what I've been calling "zero-click searches." Some folks have pointed out that "zero-click" is slightly misleading terminology, as a search ending with a click within the Google SERP itself (for example, clicking on the animal sounds here or clicking a phone number to dial a local business in the maps box) falls into this grouping. The terminology seems to have stuck, so instead I'm making the distinction clear.

[...] Here are the headline statistics from the data:
SimilarWeb analyzed ~5.1 trillion Google searches in 2020
These searches took place on the 100M+ panel of mobile and desktop devices from which SimilarWeb collects clickstream data
Of those 5.1T searches, 33.59% resulted in clicks on organic search results
1.59% resulted in clicks on paid search results
The remaining 64.82% completed a search without a direct, follow-up click to another web property
Searches resulting in a click are much higher on desktop devices (50.75% organic CTR, 2.78% paid CTR)
Zero-click searches are much higher on mobile devices (77.22%)

According to a Wall Street Journal investigation, hospitals are blocking confidential prices from web searches with special coding embedded on their websites. It's problematic because pricing information for hospital services must be disclosed under a new federal price transparency rule that went into effect on Jan. 1. Becker's Hospital Review reports: The code prevents pages from appearing in searches, such as a hospital's name and prices, computer experts told the Journal. While the prices are still there, it requires clicking through multiple layers of pages to find them. "It's technically there, but good luck finding it," Chirag Shah, an associate computer professor at the University of Washington, told the Journal. "It's one thing not to optimize your site for searchability, it's another thing to tag it so it can't be searched. It's a clear indication of intentionality."

Hospitals burying their pricing data include those owned by HCA Healthcare and Universal Health Services as well as the University of Pennsylvania Health System, NYU Langone Health, Beaumont Health and Novant Health, according to the Journal. Penn Medicine, NYU Langone Health and Novant Health told the publication they used the blocking code to direct patients first to information they "considered more useful than raw pricing data," for which they included web links. UHS uses the blocking code to ensure consumers acknowledge a disclosure statement before viewing prices and is making no effort to hide information, a hospital spokesperson told the Journal.

After the Journal reached out to hospitals about its discovery, the search-blocking code was removed from sites including those of HCA, Penn Medicine, Beaumont, Avera Health, Ballad Health and Northern Light Health. An HCA spokesperson told the publication the search blocker was "a legacy code that we removed," and Avera, Ballad, Beaumont and Northern Light said the code had been left on their websites by mistake.