Jack Bandy is a Ph.D. candidate in the Computational Journalism Lab, in Northwestern's Technology and Social Behavior program. His research explores algorithmic platforms like Twitter, Apple News, and TikTok, and how the algorithms behind these platforms impact the stories and information we encounter every day. Here is a visual guide:

a three-way venn diagram of ethics, media, and artificial intelligence, with Jack Bandy's face in the middle

Some buzzwords and hot topics related to my research include: AI ethics, algorithm auditing, media ecology, data science, news deserts, and algorithmic bias.


Contact

Publications

This is a curated sample. For the full list, see my CV.

Research Focus

"The media is the most powerful entity on earth... Because they control the minds of the masses" (Malcolm X)

Media power has always needed scrutiny, but recently, this power has shifted to new algorithmic platforms (like Facebook, Twitter, TikTok, and Apple News) that determine the stories we encounter every day. My research focuses on how these new platforms are abruptly changing the media ecosystem and the institution of journalism. Broadly, I am interested in the risks of computing/technology, and how to address those risks.

Books, Stories, & Poems

I now maintain a book list! But here are a few other stories and essays that have significantly influenced (and in most cases, guided) my thinking about human-computer interaction and/or life. I am always anxious to hear recommendations, so reach out if you have any!

Speeches, poems, etc.:

And some movies and television:

CV

Find a PDF of my untrimmed CV here.

Tidbits

Some personal information you may or may not care about:


📢 Other notes and updates (Last Updated March 2021):

Volunteered at FAccT 2021 🦜🙂

Three papers accepted to CSCW 2021! 📄📄📄😃

I started tracking books I read 📚

New tool for archived local news in Rogers Park (soft launch) 🏘️📰

New "Tulsa Flop" paper about TikTok + collective action! 📄🤓

A set of tech and social justice resources from Ruha Benjamin ⚖️

My Apple News research was featured by The Guardian 🙂