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Google penalizes only for rough manipulative actions with links
Google operates different types of unnatural links unequally. This information was reported by the search representative Gary Illyes on Twitter.
Thus, if violations are identified as "rough manipulation of links," the website is likely to be sanctioned. The rest unnatural links are mostly ignored by Google.
That depends on the purpose of that link really, but it's not likely to be ignored
- Gary Illyes ᕕ (ᐛ) ᕗ (@methode) June 2, 2017
It should be recalled that the Penguin algorithm stopped lowering websites for spammed links. Instead, the service began to devalue the spam itself.
Google updates the local knowledge bar interface
Google updated the interface of the local knowledge bar, which appears when searching for local companies, shops and institutions and provides detailed information about the business enterprise you are looking for. Now it includes two sections: "Review" and "Feedback".
The "Overview" section contains general information about the company: address, working hours, etc. The “Feedback" provides the overall rating of the company on a five-point scale and get you acquainted with what customers think about this or that company.
It has the following appearance:
The testing of the new design started in May. It seems that now it is launched for all users, although no official confirmation from Google has been received so far. This is to remind you that the search engine added a link to the knowledge bar for goods and services of the company this April.
Google tested the new "Highlights" section on the local Knowledge Grid panel for cafes, bars and other places in May. It contained icons with signatures, displaying the features of the institution. For instance, "recommended by critics", "restful spot", "places to visit with children", "free style clothing", etc.
Facebook starts showing its own TV shows and series
Facebook is planning to launch about two dozen different shows and TV series in mid June, created specifically for the social network. This information was reported by Business Insider with reference to its sources. The company also gave the go-ahead for another TV programs production.
According to the publication, Facebook is interested in the content in two main formats: long-term large-budget projects and 5-10 minutes episode programs, which will be released daily.
It is assumed that the series of the first category will take the level of "Card House" and "Scandal". Short videos will be focused primarily on young audience.
Social network considers high-quality video content as a significant aspect of user retention. Besides this, Facebook shows will allow to offer advertisers an alternative to traditional TV and will give the company another source of revenue.
Facebook began negotiations with television studios in December 2016. At that time it was reported that the social network does not plan to invest in expensive movies and series. However, according to the Business Insider, the plans for the company have changed.
Google will be updating Maps using Street View
Google reported that the Street View service is now able to extract textual information from photos to update Maps. This was achieved with the help of machine learning algorithms.
From now on Street View can not only collect images of the real world, but also extract names and street numbers from them. This innovation will automatically add new addresses to Maps and update the data in real time.
Google used photos taken in different countries to test the new technology. It was possible to automate the process of "reading" the contents of images with an accuracy reaching 84% with the help of neural networks in France. The developers noticed that this indicator significantly exceeds those opportunities that were previously available for them.
Algorithms can even recognize abbreviations and convert them into words. For example, "Av" converts into "Avenue".
Automated system simplifies the process of adding new streets and buildings to Maps. It is also able to "read" the names of companies, which allows you to quickly update the data.
The source code for the model is available to everyone on GitHub.