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Mustafa Bilgic

@bilgicm

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

 Chicago, IL
cs.iit.edu/~mbilgic/
Joined April 2010
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Photo by Mustafa Bilgic (@bilgicm)Photo by Mustafa Bilgic (@bilgicm)Photo by Mustafa Bilgic (@bilgicm)Photo by Mustafa Bilgic (@bilgicm)Photo by Mustafa Bilgic (@bilgicm)Photo by Mustafa Bilgic (@bilgicm)Photo by Mustafa Bilgic (@bilgicm)Photo by Mustafa Bilgic (@bilgicm)Photo by Mustafa Bilgic (@bilgicm)Photo by Mustafa Bilgic (@bilgicm)
Congratulations *Dr.* Ping Liu! 👏👏👏 #proudPhDadvisor #IllinoisTechGrad
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Happy.
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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.
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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).
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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.
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This news is based on our recent WWW'21 paper (cs.iit.edu/~ml/pdfs/liu-www2…). It was a very interesting project with some expected and a few unexpected results. (Thread).
Illinois Tech - School of Computing (@IITComputing) profile pictureIllinois Tech - School of Computing@IITComputing2 Nov 2021
Bias in the bubble: new research at @illinoistech shows news filter algorithms reinforce political biases. go.iit.edu/Zi8
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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).
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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).
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