#awesounds

[awesounds]

Tom Skinner - The Journey (official audio)

[improbable14]

Je vous presente le banger "Mirage".

Merci a tous ceux qui Iront checkez ce clip !!! Et merci pour les 100vues passer.... !

[ohsulu]

awesome soundtracks: Baby Driver (2017) soundtrack [insp.]

[agenttexsflippedshit]

wowzers things are happening!!

hey kids, long time no blog!  hope you’re all well!  got some COOL NEW-ISH THINGS to tell y’all about!

First up: BOOK PODCAST!

Don’t know if I’ve dropped y’all the line, but I have a whole-ass book podcast where I talk about sci-fi and fantasy literature!  I’ve been running strong for about a year now, and I’ve gotten some cool shout-outs from people like Sean Grigsby, Zoraida Cordova, R. F. Kuang, and others!  (It’s like, 80% of the reason I went to Worldcon, to spread the word and meet cool authors!)  You can find me on iTunes, Spotify, and Awesound!  If you’re not already following me on twitter (@arglebargles) you can check me out there too to get info on episode releases, giveaways, and more!

second, KO-FI

I have a whole-ass Ko-Fi set up if you wanna chuck a dollar or two my way!  I start the new job next week but I don’t get paid until the end of the month and i’m sort of hurting for cash right now and i may or may not be freaking out a lil!  But this is only if you want to - my podcast is always free no matter what, and i’m still struggling of what i can do especially for those that donate, but it’ll be cool!  

(if you wanna donate just through paypal or something just let me know and i’ll send you a link!

But yea!!  that’s what’s going down!!  many bookish adventures and such!!

[un-enfant-immature]

Podcast industry aims to better track listeners through new analytics tech called RAD

Internet users are already being tracked to death, with ads that follow us around, search histories that are collected and stored, emails that report back to senders when they’ve been read, websites that know where you scrolled and what you clicked, and much more. So naturally, the growing podcast industry wanted to find a way to collect more data of its own, too.

Yes, that’s right. Podcasts will now track detailed user behavior, too.

Today, NPR announced RAD, a new, open sourced podcast analytics technology that was developed in partnership with nearly 30 companies from the podcasting industry. The technology aims to help publishers collect more comprehensive and standardized listening metrics from across platforms.

Specifically, the technology gives publishers – and therefore their advertisers, as well – access to a wide range of listener metrics including downloads, starts and stops, completed ad or credit listens, partial ad or credit listens, ad or credit skips and content quartiles, the RAD website explains.

However, the technology stops short of offering detailed user profiles, and cannot be used to re-target or track listeners, the site notes. It’s still anonymized, aggregated statistics.

It’s worth pointing out that RAD is not the first time podcasters have been able to track engagement. Major platforms, including Apple’s Podcast Analytics, today offer granular and anonymized data, including listens.

  But NPR says that data requires “a great deal of manual analysis” as the stats aren’t standardized nor as complete as they could be. RAD is an attempt to change that, by offering a tracking mechanism everyone can use.

Already, RAD has a lot of support. In addition to being integrated into NPR’s own NPR One app, it has commitments from several others who will introduce the technology into their own products in 2019, including Acast, AdsWizz, ART19, Awesound, Blubrry Podcasting, Panoply, Omny Studio, Podtrac, PRI/PRX, RadioPublic, Triton Digital, and WideOrbit.

Other companies that supported RAD and participated in its development include Cadence13, Edison Research, ESPN, Google, iHeartMedia, Libsyn, The New York Times, New York Public Radio, and Wondery.

NPR says the NPR One app on Android supports RAD as of now, and its iOS app will do the same in 2019.

“Over the course of the past year, we have been refining these concepts and the technology in collaboration with some of the smartest people in podcasting from around the world,” said Joel Sucherman, Vice President, New Platform Partnerships at NPR, in an announcement. “We needed to take painstaking care to prove out our commitment to the privacy of listeners, while providing a standard that the industry could rally around in our collective efforts to continue to evolve the podcasting space,” he said.

To use RAD technology, publishers will mark within their audio files certain points – like quartiles or some time markers, interview spots, sponsorship messages or ads – with RAD tags and indicate an analytics URL. A mobile app is configured to read the RAD tags and then, when listeners hit that spot in the file, that information is sent to the URL in an anonymized format.

The end result is that podcasters know just what parts of the audio file their listeners heard, and is able to track this at scale across platforms. (RAD is offering both Android and iOS SDKs.)

While there’s value in podcast data that goes beyond the download, not all are sold on technology.

Most notably, the developer behind the popular iOS podcast player app Overcast, Marco Arment, today publicly stated his app will not support any listener-tracking specs.

Yes. I understand why huge podcast companies want more listener data, but there are zero advantages for listeners or app-makers.

I won’t be supporting any listener-behavior tracking specs in Overcast. Podcasters get enough data from your IP address when you download episodes. https://t.co/mplhnrmCsc

— Marco Arment (@marcoarment) December 11, 2018

“I understand why huge podcast companies want more listener data, but there are zero advantages for listeners or app-makers,” Arment wrote in a tweet. “Podcasters get enough data from your IP address when you download episodes,” he said.

The developer also pointed out this sort of data collection required more work on the podcasters’ part and could become a GDPR liability, as well.

In addition to NPR’s use of RAD today, Podtrac has also now launched a beta program to show RAD data, which is open to interested publishers.

[averycooldog]

Oooooooh shit, Geek A&E, that sweet old podcast where me and my friend Ellen watch the bad movies, is back again. It's Assassins Creed, get it on iTunes or Awesound https://itunes.apple.com/gb/podcast/geek-a-e/id1149339112?mt=2

[technicalsolutions88]

Internet users are already being tracked to death, with ads that follow us around, search histories that are collected and stored, emails that report back to senders when they’ve been read, websites that know where you scrolled and what you clicked, and much more. So naturally, the growing podcast industry wanted to find a way to collect more data of its own, too.

Yes, that’s right. Podcasts will now track detailed user behavior, too.

Today, NPR announced RAD, a new, open sourced podcast analytics technology that was developed in partnership with nearly 30 companies from the podcasting industry. The technology aims to help publishers collect more comprehensive and standardized listening metrics from across platforms.

Specifically, the technology gives publishers – and therefore their advertisers, as well – access to a wide range of listener metrics including downloads, starts and stops, completed ad or credit listens, partial ad or credit listens, ad or credit skips and content quartiles, the RAD website explains.

However, the technology stops short of offering detailed user profiles, and cannot be used to re-target or track listeners, the site notes. It’s still anonymized, aggregated statistics.

It’s worth pointing out that RAD is not the first time podcasters have been able to track engagement. Major platforms, including Apple’s Podcast Analytics, today offer granular and anonymized data, including listens.

But NPR says that data requires “a great deal of manual analysis” as the stats aren’t standardized nor as complete as they could be. RAD is an attempt to change that, by offering a tracking mechanism everyone can use.

Already, RAD has a lot of support. In addition to being integrated into NPR’s own NPR One app, it has commitments from several others who will introduce the technology into their own products in 2019, including Acast, AdsWizz, ART19, Awesound, Blubrry Podcasting, Panoply, Omny Studio, Podtrac, PRI/PRX, RadioPublic, Triton Digital, and WideOrbit.

Other companies that supported RAD and participated in its development include Cadence13, Edison Research, ESPN, Google, iHeartMedia, Libsyn, The New York Times, New York Public Radio, and Wondery.

NPR says the NPR One app on Android supports RAD as of now, and its iOS app will do the same in 2019.

“Over the course of the past year, we have been refining these concepts and the technology in collaboration with some of the smartest people in podcasting from around the world,” said Joel Sucherman, Vice President, New Platform Partnerships at NPR, in an announcement. “We needed to take painstaking care to prove out our commitment to the privacy of listeners, while providing a standard that the industry could rally around in our collective efforts to continue to evolve the podcasting space,” he said.

To use RAD technology, publishers will mark within their audio files certain points – like quartiles or some time markers, interview spots, sponsorship messages or ads – with RAD tags and indicate an analytics URL. A mobile app is configured to read the RAD tags and then, when listeners hit that spot in the file, that information is sent to the URL in an anonymized format.

The end result is that podcasters know just what parts of the audio file their listeners heard, and is able to track this at scale across platforms. (RAD is offering both Android and iOS SDKs.)

While there’s value in podcast data that goes beyond the download, not all are sold on technology.

Most notably, the developer behind the popular iOS podcast player app Overcast, Marco Arment, today publicly stated his app will not support any listener-tracking specs.

Yes. I understand why huge podcast companies want more listener data, but there are zero advantages for listeners or app-makers.

I won’t be supporting any listener-behavior tracking specs in Overcast. Podcasters get enough data from your IP address when you download episodes. https://t.co/mplhnrmCsc

— Marco Arment (@marcoarment) December 11, 2018

“I understand why huge podcast companies want more listener data, but there are zero advantages for listeners or app-makers,” Arment wrote in a tweet. “Podcasters get enough data from your IP address when you download episodes,” he said.

The developer also pointed out this sort of data collection required more work on the podcasters’ part and could become a GDPR liability, as well.

In addition to NPR’s use of RAD today, Podtrac has also now launched a beta program to show RAD data, which is open to interested publishers.

    from Mobile – TechCrunch https://ift.tt/2SILgWa ORIGINAL CONTENT FROM: https://techcrunch.com/

[awesounds]

Johnny Labelle - I've Been Losing (Official Audio)

[fmservers]

Podcast industry aims to better track listeners through new analytics tech called RAD

Internet users are already being tracked to death, with ads that follow us around, search histories that are collected and stored, emails that report back to senders when they’ve been read, websites that know where you scrolled and what you clicked, and much more. So naturally, the growing podcast industry wanted to find a way to collect more data of its own, too.

Yes, that’s right. Podcasts will now track detailed user behavior, too.

Today, NPR announced RAD, a new, open sourced podcast analytics technology that was developed in partnership with nearly 30 companies from the podcasting industry. The technology aims to help publishers collect more comprehensive and standardized listening metrics from across platforms.

Specifically, the technology gives publishers – and therefore their advertisers, as well – access to a wide range of listener metrics including downloads, starts and stops, completed ad or credit listens, partial ad or credit listens, ad or credit skips and content quartiles, the RAD website explains.

However, the technology stops short of offering detailed user profiles, and cannot be used to re-target or track listeners, the site notes. It’s still anonymized, aggregated statistics.

It’s worth pointing out that RAD is not the first time podcasters have been able to track engagement. Major platforms, including Apple’s Podcast Analytics, today offer granular and anonymized data, including listens.

  But NPR says that data requires “a great deal of manual analysis” as the stats aren’t standardized nor as complete as they could be. RAD is an attempt to change that, by offering a tracking mechanism everyone can use.

Already, RAD has a lot of support. In addition to being integrated into NPR’s own NPR One app, it has commitments from several others who will introduce the technology into their own products in 2019, including Acast, AdsWizz, ART19, Awesound, Blubrry Podcasting, Panoply, Omny Studio, Podtrac, PRI/PRX, RadioPublic, Triton Digital, and WideOrbit.

Other companies that supported RAD and participated in its development include Cadence13, Edison Research, ESPN, Google, iHeartMedia, Libsyn, The New York Times, New York Public Radio, and Wondery.

NPR says the NPR One app on Android supports RAD as of now, and its iOS app will do the same in 2019.

“Over the course of the past year, we have been refining these concepts and the technology in collaboration with some of the smartest people in podcasting from around the world,” said Joel Sucherman, Vice President, New Platform Partnerships at NPR, in an announcement. “We needed to take painstaking care to prove out our commitment to the privacy of listeners, while providing a standard that the industry could rally around in our collective efforts to continue to evolve the podcasting space,” he said.

To use RAD technology, publishers will mark within their audio files certain points – like quartiles or some time markers, interview spots, sponsorship messages or ads – with RAD tags and indicate an analytics URL. A mobile app is configured to read the RAD tags and then, when listeners hit that spot in the file, that information is sent to the URL in an anonymized format.

The end result is that podcasters know just what parts of the audio file their listeners heard, and is able to track this at scale across platforms. (RAD is offering both Android and iOS SDKs.)

While there’s value in podcast data that goes beyond the download, not all are sold on technology.

Most notably, the developer behind the popular iOS podcast player app Overcast, Marco Arment, today publicly stated his app will not support any listener-tracking specs.

Yes. I understand why huge podcast companies want more listener data, but there are zero advantages for listeners or app-makers.

I won’t be supporting any listener-behavior tracking specs in Overcast. Podcasters get enough data from your IP address when you download episodes. https://t.co/mplhnrmCsc

— Marco Arment (@marcoarment) December 11, 2018

“I understand why huge podcast companies want more listener data, but there are zero advantages for listeners or app-makers,” Arment wrote in a tweet. “Podcasters get enough data from your IP address when you download episodes,” he said.

The developer also pointed out this sort of data collection required more work on the podcasters’ part and could become a GDPR liability, as well.

In addition to NPR’s use of RAD today, Podtrac has also now launched a beta program to show RAD data, which is open to interested publishers.

    Via Sarah Perez https://techcrunch.com

[podcastsincolor]

Dealing with Imposter Syndrome? These podcasts have your back

Imposter syndrome comes at you FAST! One moment you are confident in your abilities and the next you wonder are you playing an adult or faking it? These podcasts talk about dealing with your feelings of being an imposter an a variety of cases, listen in, level up! 

The Friend Zone

Imposter Syndrome Featuring Chescaleigh

Dustin knows how to slate now, though. Assante wants to get better about asking for help. Fran is working through the nerves. Welcome to The Friend Zone.

Soundcloud - iTunes - acast 

Carry on Friends

MINISODE – ORIGINALITY + IMPOSTOR SYNDROME

It’s another minisode – short and sweet. If you’ve battled with originality and/or impostor syndrome, take a quick listen to this episode.

website - iTunes - acast 

 Audacious Kay

Stealing your Own Joy

Life can be tough, but thank goodness for the successes, wins, and joyful moments! Well, that’s if you can actually enjoy those moments. Too often Imposter’s Syndrome, Survivor’s Guilt, and other neuroses prevent us from basking in the great things that happen. How ’bout we stop stealing our own joy? 

webiste - iTunes - acast 

Tiny Leaps

How to Get Rid Of The Impostor Syndrome 

In this episode we talk about the imposter syndrome and what you can do to deal with it. But don’t worry, I know you deserve to be here because you are now listening to Tiny Leaps, Big Changes.

In This Episode:

- What is the impostor syndrome?

- What are the signs?

- How do we tackle feeling like a fraud?

awesound - iTunes - acast 

Black Girls Talking 

Imposter Syndrome

We talk about Imposter Syndrome, what we've earned and why we're afraid to ask for what we deserve. But first: BIEBER WATCH, THE FORMATION TOUR, The Malcolm X of cornrows and some other stuff (a lot of stuff).

website - iTunes - acast 

Call Your Girl friend

IMPOSTER SYNDROME

We discuss wardrobe pare-down techniques, as Ann records from inside her closet. Why red carpet season turns us into human garbage monsters. Women who don’t want other women to have abortions. Sophia Grace shouts out her girlfriends, but where is Rosie? This week in Shine Theory, the delightful contestants on Masterchef, Jr. This week in menstruation, an IUD update and don't flush tampons. And, how to deal with imposter syndrome.

website - iTunes - acast

[awesounds]

Being Dead - Muriel's Big Day Off (Official Video featuring Baldie Loxx)

[awesounds]

Blurt - The Fish Needs a Bike