Ahmet Akkoç @AhmetAkkoc@scholar.social

Seeing how many #companies promote #privacy nowadays, a thought occurred to me recently:

Is there more profit to be derived from "protecting" user/customer data (ex. #VPN) than "using" or "selling" it?

On a per person basis, to be precise. Is my protected data (as a service) worth more than selling it to a 3rd party ad tracker?
What do you think #mastodon?

Please choose all that apply:

I guess an #introduction is in order.

I'm Ahmet Akkoç, MSc Data Science student at IT University of Copenhagen 🇩🇰. I have been looking for a space to share my projects and research and scholar.social seemed right up my alley.

More about me:

* I love #tech, #wayofthefuture
* #opensource and #Fediverse enthusiast, but cautionary of #Mastodon :3
* #Linguistics enthusiast, here to promote it on Mastodon.
* I get around, expect to see me all over the place!

Nice to meet you all (^_^)/

Yeah it's official, "my privacy" is more valuable than someone else's "free and openness".

So now I can rest easy knowing that I'm being taken advantage of even when a company touts their valuing of privacy.

Do you prefer eating local food, McDonalds or Sushi?

My group is investigating where different cuisines are popular. Fill in this 3 question form to contribute to science!

This link works on a phone too! MAKE SURE TO ENABLE LOCATION SETTINGS IF YOU ARE USING CHROME!

https://form.jotform.com/213343118270042

Seeing how many #companies promote #privacy nowadays, a thought occurred to me recently:

Is there more profit to be derived from "protecting" user/customer data (ex. #VPN) than "using" or "selling" it?

On a per person basis, to be precise. Is my protected data (as a service) worth more than selling it to a 3rd party ad tracker?
What do you think #mastodon?

Please choose all that apply:

What's Cooking: https://www.kaggle.com/c/whats-cooking

Kissing Cuisines: Exploring Worldwide Culinary Habits on the Web by Sajadmanesh
et al. (2017):
https://dl.acm.org/doi/abs/10.1145/3041021.3055137

#food #data ! 🍪 🍟 🌽

I'm working on a recipe statistics project! What ingredients are unique to which cuisines, what pairs of ingredients are co-related etc.

We want to use Yummly's API, which has previously been used for the "What's Cooking" Kaggle competition and in papers such as "Kissing Cuisines" (2017).

Sad to say, the API log-in is broken. Do any of you have mirrors or workarounds? If not, we're all ears for any alternative data sources?https://developer.yummly.com/login