As the course comes to its end, it is time for reflection about my experience and contribution. Starting this course, I had a limited knowledge about technologies and digital culture but a willing to learn as much as I could. Learning about cybercultures, community cultures and algorithmic cultures gave me …
Over 400 hours of video content is uploaded to YouTube every minute. YouTube’s audience and content-creators are growing at breakneck speed. In such a scenario, it can be quite challenging to stand-out among the crowd. from Pocket https://ift.tt/2YLxKVh via IFTTT
Many people head to YouTube to catch up on the latest videos from their favorite channels, but the site tries to hang on to viewers through its recommended videos section. from Pocket https://ift.tt/2EaRPtI via IFTTT
With more than one billion users—or nearly one-third of all internet users—YouTube is a cultural (and marketing) force to be reckoned with. Each day YouTubers watch a billion hours of video. And it’s not just cat videos getting all the attention. from Pocket https://ift.tt/2vsxMFG via IFTTT
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Just for a change I used prezi to create my presentation for my algorithmic play. I played with my YouTube account. I added new types of music in order to see how long it would take for the algorithm to change the suggested videos. Enjoy! https://prezi.com/view/jOHxG4zXzVHDaLpbvyAx/
After my week 8 overview, I chose to play with my home YouTube account. The main purpose of my YouTube account, is to watch Greek movies, listen to Greek music and English pop. Thus, the recommendations in my profile are mainly about Greek music and movies. As Nidhi Nangia mentions, …
Starting a new week and a new topic, I started familiarising myself with the algorithms. Even though the word algorithm is very common, I have limited experience of how it can affect our lives. One of the first articles I read was ‘Thinking critically about and researching algorithms’. Reading it, …
During the last week of MOOC, I focused on collecting data from a non-direct communication between the students. My micro-ethnography would show how a non-direct communication could still influence us and could change our opinion. As I was part of the data I was observing, I’ve questioned myself a lot …
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