Computational social scientist studying the media information ecosystem. Now postdoc @NorthwesternU, previously PhD @Penn.
Joined September 2012
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Samar Haider retweeted
@csspenn has released a new dataset of 140,000+ news articles from the 2024 U.S. presidential election year, providing a new resource for studying how news coverage is selected and framed, published in @ScienceMagazine.
The Penn collaboration includes @annenbergpenn and @wharton and is led by @DuncanJWatts.
“We can't measure bias directly, but we can see its imprints,” says Watts.
bit.ly/3V5J3cV
Samar Haider retweeted
A new computational framework called the “Media Bias Detector” uses #LLMs to identify potential coverage bias in news articles. scim.ag/4yp3Oym
New paper out in @ScienceAdvances!
News organizations shape public understanding through the choices they make about what to cover and how to cover it. How can we measure these differences across publishers systematically and at scale?
We present the Media Bias Detector!
We hope our work helps improve both academic understanding and public awareness of media bias dynamics through an empirical, data-driven approach.
Read our paper: science.org/doi/10.1126/scia…
Browse our dashboard: mediabiasdetector.seas.upenn…
Use our data and code: github.com/Watts-Lab/media-b…
This project has been a huge undertaking spanning more than two years and would not have been possible without an amazing team of collaborators at @csspenn: @Amir__Tohidi, @jennyshwang, @Timothy95Doerr, @DavMicRot, Chris Callison-Burch, and @duncanjwatts!
Samar Haider retweeted
Congrats @samarhdr! We are all so proud of you and what you've accomplished.
Congratulations, Dr. Samar Haider! 🎓🖥️
@samarhdr
Samar successfully defended his dissertation, "A Computational Approach to News Production", studying how computational methods can help us systematically understand what news organizations choose to cover and how they cover it.
I'm thrilled to share to share that I defended my PhD at @Penn yesterday! I've had the time of my life working with @duncanjwatts and the amazing people at @csspenn over the past several years. Incredibly grateful for the journey and everyone who made it so special!
Congratulations, Dr. Samar Haider! 🎓🖥️
@samarhdr
Samar successfully defended his dissertation, "A Computational Approach to News Production", studying how computational methods can help us systematically understand what news organizations choose to cover and how they cover it.
Samar Haider retweeted
To all those offering their confident explanations for "Why Trump won" (starting, literally, the morning after) I humbly suggest that you read my book. amazon.com/Everything-Obviou…
Samar Haider retweeted
📢Don't miss the NAACL Student Research Workshop!
🖇️ CFP & Important dates: naacl2025-srw.github.io/cfp
#NLProc
Samar Haider retweeted
Everybody trivializes common sense because we believe it is self-evident and universal. But is it really?
Find out by participating in our Common Sense Project: commonsense.seas.upenn.edu.
With @AmirhosNakh, @MarkWhiting, and @DuncanJWatts at @CSSPenn.
1/n
ALT Common sense comprises beliefs that are shared by many people in a society.
Samar Haider retweeted
The common sense project is now live! @DuncanJWatts, @MarkWhiting, @amirhosnakh and @joshnguyen99 from the CSSLab invite you to take a quick survey 📝 and measure your common sense💡
commonsense.seas.upenn.edu
You can read more about the project here:
css.seas.upenn.edu/commonsen…
