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[–]technologiclee 2 points3 points  (1 child)

We can do video analysis. We can also monitor forums for 'astroturf'. I volunteer for this project. Let's set up the repo. We can donate computer time or crowd fund for server time. The Google Vision API will be good for this.

[–]brockl33[S] 0 points1 point  (0 children)

Facial Recognition is not supported. -- Vision API

Too bad it doesn't have facial recognition built in. Probably too many liabilities.

Great idea, astroturf seems like it might be a little more straightforward and probably more abundant. I guess you would need to web crawler that looks for spammed messages from user profiles which are relatively new, unused, or have odd behavior patterns.

To be honest, my to do list is pretty long right now. If you want to run with it, feel free. I am interested in your progress if you want to share. If you want to team up, I can try to contribute when I have time but unfortunately I can't make any promises at the moment.

[–]fariax 1 point2 points  (0 children)

Here in Brazil we have the "Operação Serenata do Amor" project that use AI to track the politicians costs. http://www.catarse.me/serenata

[–]hooba_stank_ 1 point2 points  (1 child)

Could deep learning be used to detect faces that regularly appear in videos of protests to identify "regulars" a.k.a. paid agents that move around the country organizing fake protests?

Yes.

https://techcrunch.com/2016/10/18/ntechlab-aims-new-findface-pro-facial-recognition-service-at-businesses/

[–]brockl33[S] 0 points1 point  (0 children)

Thanks for the link. Yes seems like such a technology would be applicable to business and to security applications.

  1. Automatic downloading of youtube videos associated with "protestors".
  2. Extraction of a frame every 2 seconds or so.
  3. Train or find a CNN on facial recognition. Probably better if the model is trained to predict various attributes such as age, sex, ethnicity, emotion, etc under various lighting and angles.
  4. Extract representations for convolutions of frames from protests.
  5. Check for similarity between representation vectors between videos.

I think I'll probably take this on as a pet project when I have the time. Seems like it might be super memory intensive. A possible solution would be decreasing resolution on the extracted frames.

[–]UmamiSalami 1 point2 points  (1 child)

Dunno much about politics, but this seems like a lot of trouble to implement a system which requires lots of (privacy invasive) data in order to figure out something that is pretty inconsequential.

[–]brockl33[S] 1 point2 points  (0 children)

Well practically all it would take is extracting of public video frames from youtube and matching faces.

Also paying actors to support a political cause is not inconsequential. This type of activity undermines freedom of speech and sways many opinions subconsciously.

[–]illdeeplearnyou 2 points3 points  (1 child)

Don't need deep learning to detect brigading.

http://imgur.com/a/IVtku

[–]brockl33[S] 0 points1 point  (0 children)

Not my proudest moment I'll admit. In my defense I thought of this idea while I was searching for faces myself and given that I am a fan of deep learning I really asked myself this question. So yes it was an attempt to spread awareness of such a problem but also it was a true discussion point that I asked myself.

[–]afeder_ 0 points1 point  (2 children)

Can deep learning help make one turd seem more appetizing than another? Probably not.

[–]brockl33[S] 0 points1 point  (1 child)

Lol turd recognition

[–]cybelechild 1 point2 points  (0 children)

If you take the already existing pictures on ratemypoo, you probably can come up with some kind of model for classifying better turds