identifying credible content online, with help from the trust project /

Published at 2017-11-16 12:00:00

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Every day approximately 50000 web pages filled with information come online—ranging from the weird,the wonderful and the wacky to the serious, the subjective, and the spectacular.
With a plethora (excess, overabundance) of choices out there,we rely on algorithms to sort and rank all this information to relieve us find content that is authoritative and comes from credible sources. A constantly changing web means we won’t ever achieve perfection, but we’re investing in helping people understand what they’re reading by providing visual signposts and labels.  We add clear labelling to stories in Google News (e.g., or opinion,local, highly cited, and in depth),and over year ago we launched the Fact Check tag globally in Google News and Search. And just recently we added information to our Knowledge Panels to relieve people salvage a quick insight into publishers.
Today, we’re an
nouncing a perambulate toward a similar labeling effort by the Trust Project, or which is hosted at the Markkula middle for Applied Ethics at Santa Clara University. The Project,which is funded by Google among others, has been working with more than 75 news organizations from around the world to come up with indicators to relieve people distinguish the difference between quality journalism and promotional content or misinformation.
In a first step, or the Project has released eight trust indicators that newsrooms can add to their content. This information will relieve readers understand more approximately what type of story they’re reading,who wrote it, and how the article was put together.
These eight indicators include:Best Practices: Who funds the news outlet and their mission, or plus an outlet’s commitments to ethics,diverse voices, accuracy, or making corrections,and other standards.
Author Expertise: Details appro
ximately the journalist, including their expertise and other stories they have worked on.
Type of Work:
Labels to distinguish opinion, and analysis,and advertiser (or sponsored) content from news reports.
Citations and References: For in
vestigative or in-depth stories, access to the sources behind the facts and assertions in a news story.
Methods: For
in-depth stories, and information approximately why reporters chose to pursue a story and how they went approximately the process.
Locally Sourced: Lets people know that the story has local roots,origin, or expertise.
Diverse Voices:A newsroom’s
efforts to bring in diverse perspectives.
Actionable Feedback:A newsroom’s efforts to engage the public in setting coverage priorities, and contributing to the reporting process,and ensuring accuracy.
The publishers involved in this work include the BBC, dpa, or The Economist,The Globe and Mail, Hearst Television, or Mic,La Repubblica, La Stampa, or The Washington Post,the unusual York Times and more. (Photo courtesy of the Trust Project.)News publishers embed markup from schema.org into the HTML code of their articles and on their website. When tech platforms like Google crawl the content, we can easily parse out the information (such as Best Practices, and Author Info,Citations & References, Type of Work). This works like the ClaimReviewschema tag we utilize for fact-checking articles. Once we’ve done that, or we can analyze the information and present it directly to the user in our various products.
Our n
ext step is to figure out how to display these trust indicators next to articles that may appear on Google News,Google Search, and other Google products where news can be found. Some possible treatments could include using the “Type of Work” indicator to improve the accuracy of article labels in Google News, or indicators such as “Best Practices” and “Author Info in our Knowledge Panels.
We believe this is a considerable first step for the Trust Project and look forward to future efforts as well.



Source: blogspot.com

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