
Knewz
Burst the bias bubble with the world’s first-ever spin-free podcast from the team at Knewz.com. Knewz uses cutting-edge artificial intelligence to scan hundreds of publishers of fact-based journalism online, bringing their best stories to our site. Experienced editors and reporters from around the world add their own exclusive bulletins. Then, another algorithm turns these stories into breaking news podcasts. From politics and business, to sports, crime, global security, technology, fashion, entertainment, culture, and more — it’s everything you need to know: in real-time, 24/7, and without the partisan slant.Get your knowlege, unfiltered, from Knewz. Because if you don’t Knewz, you don’t know.
This podcast may use tracking and attribution and dynamic content insertion
Stats: Statistics are produced by RedCircle and Chartable to help Knewz to understand how many downloads it is getting, or how many people are listening. Your device’s IP address and user agent is used to help calculate this figure. Chartable is IAB v2 certified.
Tracking and attribution: RedCircle and Chartable or their partners may connect the fact you listened to this podcast to an action elsewhere on the internet. For example - they may spot a device that downloaded an episode of Knewz later visited the website of an advertiser; or they may track that a device that listened to Knewz also listened to a different show. This form of attribution is used to measure advertising effectiveness.
Dynamic content insertion: RedCircle may use limited data that they know about you - the device you’re using, the approximate location you’re in, or other data that can be derived from this, like the current weather forecast for your area - to change parts of the audio. Knewz may do this for advertising or for other forms of content, like news stories.
Knewz is able to use the above tools since its podcast host or measurement company offers this service. It doesn’t mean that this individual podcast uses them, or has access to this functionality. We use open data.
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