Frequently Asked Questions
Missing Source: This occurs when the author either paraphrases or directly quotes a source without saying who the source is. It’s a valid thing for an author to do if they can’t reveal their source so it is a no-penalty annotation.
Scare Quote: This occurs when quotation marks are placed around a single word or a few words to make it seem dramatic. The words may have been quoted from somebody and injected into a paraphrasing. This is a no-penalty violation and is for the user’s reference only.
Missing reference: This violation is when an author uses data from a study, survey or other seemingly factual source without actually referencing the source so that the reader or reviewer can check it. This is a penalty valuation therefore affects the overall score of the article.
The Daily Edit is a content aggregator and analyzer, not a content creator. This means that the news you see comes directly from over 13000 unique news organisations from 3 types of sources: newspapers, TV channels and news magazines, from around the world.
No, the Daily Edit has no political agenda and avoids judging the news altogether. Our mission is to turn every story into a data story. We know that high-quality information is vital, and we want readers to be able to critically assess what they’re reading by having freedom from persuasion. All the news is sourced from publications across the political spectrum as we endeavour to promote the most informative and least manipulative articles. Our mission is to empower readers with all the information reported, so they can decide for themselves.
The article scores you see are calculated by our algorithm, taking into account how many details of the story, reported across all articles, are present, and how many logical fallacies (annotations) the Machine Learning (ML) detects. Annotations include missing data references (eg, “a recent survey suggests….”), appeals to popularity (eg “Everyone says it’s OK to lie as long as you don’t get caught”). Other fallacies such as unverified sources (eg, “a government official said…”) and techniques such as using scare quotes (eg, words that are “unnecessarily” highlighted with quotation marks) are annotated for reader awareness but do not contribute to down-scoring an article. Articles that score higher contain more story detail, and less annotations.
The Daily Edit’s advanced machine learning (ML) algorithm uses natural language processing (NLP) to analyse all available articles belonging to a given story. By extracting every story detail from all articles, and cross comparing these details across articles, TDE can determine what article contains the most detail and what has been left out. We give our readers the shortest path to the most information.
The Daily Edit’s advanced machine learning (ML) algorithm determines what should be labelled as an annotation and puts a confidence percentage on each annotation. The reader can dispute an annotation through their assessment as well, promoting critical thinking and empowering our readers to decide for themselves.
The app looks at what stories are trending across all major news platforms worldwide, and shows them in order of popularity or relevance, depending on the user’s preference in settings.
All users can submit feedback and suggestions through the ‘Feedback’ feature in the main menu of the app. Our developers regularly review all feedback to improve the app and customer experience. Thank you in advance for any suggestions!
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Yes. This ensures that we are analyzing and comparing a greater number of sources to provide you with the most information on each story.
Paywalled articles are labelled as “paywall” to show the user that this article may be paywalled. If you have a subscription to the corresponding news organization, you can input your details and read the reviewed article.
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The free subscription provides full access to our ground-breaking news app for 1 month. You will have an ad-supported experience with full access to our key features such as in article analysis and full customization ability. Once your first month has expired you will maintain access to all key features, but will only be able to get our in depth analysis on 2 stories per day. After the trial period only our paid subscribers get full access to all features on unlimited articles.
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Ad-lite means that our users will not see any advertisements in the briefing or headlines/news sections of the daily edit app. This does not mean that we remove advertising content that the publishers include in their own articles.
Yes, of course! You are welcome to use our app for free, but you will not have access to our state-of-the-art analysis after 2 news stories per day.
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We aim to create the best possible reader experience, which involves knowing certain things about our readership. For example, knowing which articles you read helps us understand your interests and show you other associated articles that may be of interest to you.
We are also primarily funded by subscriptions and advertising, which requires the use of data to help us to understand and fill your needs. For example, we use user data to identify who may be interested in a subscription so that we can make you aware of any latest subscription discounts.
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Direct data collection means you are submitting data to us. For example, when you create an account with us, you submit your email address to us.
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