Mustafa Bilgic

Associate professor of CS & Director of the Masters in Artificial Intelligence program at @illinoistech. #utcs & #umdcs alum.

[Mustafa Bilgic @bilgicm]

@ChessProblem And, one day, a pawn underpromotes to a bishop …

[Mustafa Bilgic @bilgicm]

@berty38 Do you play at lichess?

[Mustafa Bilgic @bilgicm]

Congratulations *Dr.* Ping Liu! 👏👏👏 #proudPhDadvisor #IllinoisTechGrad

[Mustafa Bilgic @bilgicm]

@janadoppa Thank you, Jana!

[Mustafa Bilgic @bilgicm]

Happy.

[Mustafa Bilgic @bilgicm]

@Sriraam_UTD Thank you, Sriraam!

[Mustafa Bilgic @bilgicm]

@elenadata Thank you, Elena! 🙏

[Mustafa Bilgic @bilgicm]

@berty38 Or, investigating the effect of their tool’s impact on the society, where some of the findings are negative.

[Mustafa Bilgic @bilgicm]

Update your review explaining your reasoning after the discussion period, especially if you do not change your rating, or if you lower your rating. We owe that to the authors. Thank you.

[Mustafa Bilgic @bilgicm]

Now the discussion period is underway for #AAAI2022, I'd like to share my thoughts as an Area Chair who is overseeing reviews and discussions for a few dozen papers.

[Mustafa Bilgic @bilgicm]

PS: If you are a reviewer reading my rant, please consider updating your ratings in the light of the new information (author response and reviews).

[Mustafa Bilgic @bilgicm]

We are currently studying whether a) providing the user with further transparency into what they are shown and why and b) giving the users knobs to adjust these systems would alleviate/lessen the filter bubble problem or exacerbate it. (The end of the thread).

[Mustafa Bilgic @bilgicm]

This news is based on our recent WWW'21 paper (https://t.co/XuO8XhtoEG). It was a very interesting project with some expected and a few unexpected results. (Thread).

[Illinois Tech College of Computing @IITComputing]

Bias in the bubble: new research at @illinoistech shows news filter algorithms reinforce political biases. https://t.co/pupBbZulM3

[Mustafa Bilgic @bilgicm]

Clearly, recommender systems are contributing to and exacerbating filter bubbles through different mechanisms (language, popularity, etc.) and they are affecting different political typologies differently (pushing them to extremes and homogenizing the lean of the news they see).