Oakland’s G Easy And Meg Post Super Bowl Kissy Face Video Upsets Racists On Social Media

Oakland’s G Easy And Meg Post Super Bowl Kissy Face Video Upsets Racists On Social Media
(Last Updated On: February 3, 2020)

Oakland’s G Easy And Meg Post Super Bowl Kissy Face Video Upsets Racists On Social Media

ONN – Oakland’s G Easy And Meg Post Super Bowl Kissy Face Video Upsets Racists On Social Media

Sad stuff: G Easy, an Oakland rapper who was featured on an episode of Hard Knocks With The Oakland Raiders, placed a of himself kissing on a woman known as “Meg Thee Stallion”, on a bed after the Super Bowl LIV game they attended (and where the Kansas City Chiefs won their first Super Bowl in 50 years). The result of G Easy’s Instagram post was a giant set of racists reactions came up.

Why? Simply because G Easy is white and Meg Thee Stallion is black. That’s completely stupid.

Meanwhile G Easy is just showing how Oakland brothers role: without regard for racist ideas – a lovely woman is just that, period. So, he got busy.

G Easy, Media has your back.

Stay tuned.

Note from Oakland Now Technical: this video-blog post shows the full and live operation of the latest updated version of an experimental Media , Inc. mobile media video-blogging system network that was launched June 2018. This is a major part of Media , Inc.’s new and innovative approach to the production of media. The uploaded video is from a ger with the Zennie62 on YouTube Partner Channel, then uploaded to and formatted automatically at the Oakland Now site and -created and owned social media pages. The overall objective is smartphone-enabled, real-time, on the scene reporting of , interviews, observations, and happenings anywhere in the and within seconds and not hours. Now, is reported with a smartphone: no heavy and expensive cameras or even a laptop are necessary. The secondary objective is faster, and very inexpensive media content production and distribution. We have found there is a disconnect between post length and time to product and revenue generated. With this, the problem is far less, though by no means solved. Media is constantly working to improve the system network coding and seeks interested content and media technology partners.

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By Zennie Abraham

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