“Google News Optimization: How to Boost Your Site’s Visibility & Traffic - Search Engine Journal” plus 2 more
- Google News Optimization: How to Boost Your Site’s Visibility & Traffic - Search Engine Journal
- Facebook admits it was listening to your private conversations, too - Digital Trends
- The Limits Of AI: What Machines Can't Do - CEOWORLD magazine
Posted: 14 Aug 2019 05:37 AM PDT
Google News has changed dramatically since the "beta" version was launched back in September 2002. And many of the best practices for optimizing your news content have changed significantly, too.
But, some of the fundamentals of Google News optimization haven't changed at all over the past 17 years.
The key to optimizing your news content for visibility and traffic is figuring out what has changed and what hasn't.
For example, Google News is still a news search engine despite the fact that Google announced "the all-new Google News" on May 8.
In the announcement on Google new official blog, The Keyword, Trystan Upstill, a Distinguished Engineer and the Google News Engineering and Product Lead, wrote:
In other words, computer algorithms may have been updated, but they still determine which stories, images, and videos appear in Google News results, and in what order.
So, if you conduct a news search, you'll still see "relevant" news, magazine, and video stories as well as press releases in the results.
Ironically, the information about ranking in the Google News Publisher Help Center doesn't mention "relevance." It says:
Does this mean that you don't have to think about the words users would type to find your news content and no longer need to make sure that your news, magazine, and video story or press release actually includes those words within it?
Although the revamped Google News app uses machine learning to adapt to a user's habits and routines over time, enabling it to recommend personalized content in the "For you" section, that doesn't mean it now shows users irrelevant results when they conduct a news search.
In fact, if you conduct a news search for "machine learning," you won't see content about "influencer marketing" – even if that's a topic that you've also used Google News to search for recently.
So, how do you optimize your news content for visibility and traffic today?
1. Conduct Keyword Research to Find News Search Terms People Are Likely to Use
Well, the first step in Google News optimization is conducting keyword research to find 85% of the news search terms that people are likely to use. How do you do that?
If you have the time to plan a feature article or press release on "back to school", then use the Explore tool in Google Trends.
And although "Web Search" is the default setting, use the "News Search" option to discover that news search interest in "back to school" spikes in late July and early August in the U.S.
But, if you need to conduct keyword research on the fly, then use the Autocomplete feature in Google News.
Type in "back to school" and Autocomplete will make some predictions. These predictions are possible news search terms related to what you're looking for and what other people have already searched for.
As I was writing this, Autocomplete showed me that other people had already searched for:
Raise your hand if you've already guessed that these terms are listed in order of their relative popularity.
What about the other 15% of the news search terms that people are likely to use?
Well, in April 2017, Ben Gomes, Google's VP of Engineering, wrote in The Keyword:
So, if you've got a truly newsworthy story or you're launching an exceptional new product, then you can coin your own news search term and discover if you get lucky.
2. Write a Clear, Concise Headline
Despite getting revamped, Google News continues to rely heavily on page titles to determine ranking.
Your news, magazine, and video story or press release's headline is its page title.
For proper indexing by Google News, your headline should be between 2 and 22 words.
And avoid puns or plays on words.
They can confuse humans as well as news search engine algorithms.
3. Use Subheads & Text Formatting for Emphasis
What about subheads? Well, they're a good place to incorporate additional keywords that aren't in your headline.
They also provide early supplemental guidance to readers as they decide whether to continue reading longer news content.
In addition, bold, italic, underlined, and bulleted text help:
So, use them – judiciously.
4. Question the Conventional Wisdom That Says: Keep It Short
Now, I'm often asked, "How long should optimized news content be?"
But, there is no simple formula for calculating how long your article or release should be in order to be optimized for Google News.
But, it's time to question the conventional wisdom that says: Keep it short.
Unfortunately, short content provides the wrong answers to some of the questions that Google engineers use to assess the "quality" of an article, according to a post in Google's Webmaster Central Blog by Amit Singhal, who was a Google Fellow back in May 2011:
To confirm that this advice still holds true, I conducted a news search on July 21 for "machine learning" and "What Is Machine Learning?" ranked higher than more recent articles.
Written by Ben Dickson of PCMag.com, this article is 1,528 words long.
I also conducted a news search for "back to school", and "Missed Amazon Prime Day? You can still find the best back-to-school deals" ranked higher than more recent news stories.
Written by AJ Horch of CNBC, this story is 715 words long.
Finally, I conducted a news search for "GEICO", and "Road Trip: GEICO Says Make It Memorable and Make It Safe" was ranked #1.
This press release was distributed by Business Wire and appeared on Yahoo! Finance. It included an infographic and was 507 words long.
So, conduct your own news searches for a couple of your target search terms and find out just how long your optimized news content should be.
It may vary, but I'd be shocked, shocked to find it was "short."
5. Include Photos & Videos
Although rich textual content is important, so are photos and videos.
Google News displays images associated with articles included in its index, although it sometimes pairs relevant images with articles from different sources.
Here are some tips to increase the likelihood that your images are included in Google News:
Google News also recognizes the importance of video content.
If you have a news site, then Google News can crawl your YouTube channel and MP4 videos embedded within articles on your site.
Google News has a number of guidelines for video content to provide the best user experience as well as to maintain fairness and consistency when determining what content is included.
Before submitting your YouTube channel to their team for consideration, you should review these guidelines from Google:
6. Add Meaningful Links
It's okay to use links in your story or release to direct your audiences to relevant additional content.
By placing relevant, context-appropriate links, you'll drive measurable traffic to this related content and improve the user's experience.
Editorial placed links, which Google calls "natural links", can provide you with an earned media SEO benefit.
But, links that aren't editorially placed, also known as "unnatural links", can be considered a violation of Google's guidelines.
That's why links in press releases in Google News employ "no follow" tags. While these links may not enhance your SEO, they can still drive traffic to your website – and that isn't chopped liver.
7. Measure the Impact of Google News
If you're a publisher, there are two ways to track how your content is performing according to Google News.
If Google News crawls the content on your site, then you can look for HTTP referrer values to separate traffic from Google News from the rest of your traffic.
Incoming readers with referrers of "news.google.com" or "news.url.google.com" are from Google News.
You can use your Google Analytics to conduct further analysis of both your standard HTML and Accelerated Mobile Pages (AMP) articles.
If you provide licensed content via RSS feeds or AMP via Google News Producer, then you can track direct traffic to your site using the news.google.com and news.url.google.com referrers.
In addition, you can set up tracking in Google News Producer that provides more detail and track content that is rendered natively within the Google News Android and iOS apps.
If you're optimizing a press release, then you can use Google's free Campaign URL Builder tool, which enables you to easily add campaign parameters to URLs so you can track Custom Campaigns in Google Analytics.
I did this recently for a public research university that launched a new online program.
We used Google Analytics to get a picture of our users' Acquisition-Behavior-Conversion (ABC) cycle:
I was able to report that the release had driven 301 users to their site, who visited a total of 558 sessions.
These users looked at an average of 4 pages per session, which had an average duration of 3-and-a-half minutes. And 100 users converted into soft leads (clicked on an Apply Now link), while 30 converted into hard leads (filled out a form).
To Sum Up
In closing, I should remind you that Google News is constantly changing.
So, I should probably add a "Best if used by (or before)" date to some of the tips in this article.
But, I should also note that other advice hasn't changed in years.
This means the trick to Google News optimization is continuing to figure out what's really new under the sun and what's old as dirt.
Posted: 14 Aug 2019 08:36 AM PDT
Facebook outsourced contractors to listen in on your audio messenger chats and transcribe them, a new report reveals.
Bloomberg reports that the contractors were not told why they were listening in or why they were transcribing them. Facebook confirmed the reports but said they are no longer transcribing audio.
"Much like Apple and Google, we paused human review of audio more than a week ago," Facebook told Bloomberg on Tuesday.
The social media giant said that users could choose the option to have their voice chats on Facebook's Messenger app transcribed. The contractors were testing artificial intelligence technology to make sure the messages were properly transcribed from voice to text.
Facebook has previously said that they are reading your messages on its Messenger App. Last year, Facebook CEO Mark Zuckerberg said that when "sensational messages" are found, "We stop those messages from going through."
Zuckerberg also told Bloomberg last year that while conversations in the Messenger app are considered private, Facebook "scans them and uses the same tools to prevent abuse there that it does on the social network more generally."
How Facebook monitors users' messages is similar to other big tech companies. In April, Bloomberg first reported that Amazon employed thousands of workers to listen to people's private exchanges with Amazon Alexa on Echo devices. These conversations were also transcribed to improve software and technology. Amazon said that users could opt-out of this review.
Similar listen and transcribe practices have also been used for Apple's Siri and the Google Assistant. Both companies said they had suspended these practices.
These companies policies about listening in on you are hidden in plain sight. Facebook's data policy states, "We collect the content, communications, and other information you provide when you use our Products, including when you sign up for an account, create or share content, and message or communicate with others."
The policy also states that Facebook's "systems automatically process content and communications you and others provide to analyze context and what's in them."
Facebook has instituted a series of controversial policies and was even hit with a $5 billion penalty as part of a settlement with the Federal Trade Commission (FTC) last month over its privacy violations. These specific violations included the use of facial recognition technology without consent, deceptive practices when collecting users' phone numbers, and sharing user data with third-party app developers.
Digital Trends reached out to Facebook for comment on its transcription of Messenger chats, but we haven't received a response.
Posted: 14 Aug 2019 12:11 PM PDT
Artificial intelligence (AI) is at the top of mind of every corporate executive. It dominates shareholder calls and flames the fire of financial expectations. AI's powers and potentials give stock prices a bump and bolster investor confidence. But too many companies are reluctant to address its very real limits. It's become taboo to discuss AI's shortcomings and the limitations of machine learning, neural nets, and deep learning. However, if we want to strategically deploy these technologies in enterprises, we need to understand AI's six distinct weaknesses.
AI lacks common sense. AI may be able to recognize that within a photo, there's a man on a horse. But it probably won't appreciate that the figures are actually a bronze sculpture of a man on a horse, not an actual man on an actual horse.
Consider the lesson offered by Margaret Mitchell, a research scientist at Google. Mitchell helps develop computers that can communicate about what they see and understand. As she feeds images and data to AIs, she asks them questions about what they "see." In one case, Mitchell fed an AI lots of input about fun things and activities. When Mitchell showed the AI an image of a koala bear, it said, "Cute creature!" But when she showed the AI a picture of a house violently burning down, the AI exclaimed, "That's awesome!"
The AI selected this response due to the orange and red colors it scanned in the photo; these fiery tones were frequently associated with positive responses in the AI's input data set. It's stories like these that demonstrate AI's inevitable gaps, blind spots, and complete lack of common sense.
AI bakes in bias. There's an increasing awareness that machine learning algorithms encode biases and discrimination into outcomes. After all, algorithms simply look for patterns in the data. Whatever is embedded in the data is what the algorithms will repeat.
A well-known example is when Google trends overestimated incidences of the flu. The theory goes that if people get the flu, they'll turn to Google to search for "flu" and related terms. But this turned out to be a misleading method of gathering data. Searches for "flu" actually reflected how often the flu made it into the news, rather than how many people were in bed, sick and miserable. The lesson? What happens in the digital world does not always reflect reality. Without human interpretation and context, these types of outcomes can completely mislead an organization.
AI is data-hungry and brittle. Neural nets require far too much data to match human intellects. In most cases, they require thousands or millions of examples to learn from. Worse still, each time you need to recognize a new type of item, you have to start from scratch.
Algorithmic problem-solving is also severely hampered by the quality of data it's fed. If an AI hasn't been explicitly told how to answer a question, it can't reason it out. It cannot respond to an unexpected change if it hasn't been programmed to anticipate it.
Today's business world is filled with disruptions and events—from physical to economic to political—and these disruptions require interpretation and flexibility. Algorithms can't do that.
AI lacks intuition. Humans use intuition to navigate the physical world. When you pivot and swing to hit a tennis ball or step off a sidewalk to cross the street, you do so without a thought—things that would require a robot so much processing power that it's almost inconceivable that we would engineer them.
Algorithms get trapped in local optima. When assigned a task, a computer program may find solutions that are close by in the search process—known as the local optimum—but fail to find the best of all possible solutions. Finding the best global solution would require understanding context and changing context, or thinking creatively about the problem and potential solutions. Humans can do that. They can connect seemingly disparate concepts and come up with out-of-the-box thinking that solves problems in novel ways. AI cannot.
AI can't explain itself. AI may come up with the right answers, but even researchers who train AI systems often do not understand how an algorithm reached a specific conclusion. This is very problematic when AI is used in the context of medical diagnoses, for example, or in any environment where decisions have non-trivial consequences. What the algorithm has "learned" remains a mystery to everyone. Even if the AI is right, people will not trust its analytical output.
AI offers tremendous opportunities and capabilities. But it can't see the world as humans do. Instead, it provides the potential for humans to focus on more meaningful aspects of work that involve creativity and innovation. As automation replaces more routine or repetitive tasks, it will allow workers to focus more on inventions and breakthroughs, which ultimately fuels an enterprise's success.
Written by Dr. Nada R. Sanders.
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