Algorithmic Amplification
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Essays and Scholarship
A Public Service Media Perspective on the Algorithmic Amplification of Cultural Content
An analysis of the cultural significance of music recommender systems
By Georgina Born & Fernando Diaz -
Essays and Scholarship
Recommenders With Values: Developing recommendation engines in a public service organization
An inside look at how the BBC develops its recommendation systems
By Alessandro Piscopo , Anna McGovern , Lianne Kerlin , North Kuras , James Fletcher , Calum Wiggins & Megan Stamper -
Essays and Scholarship
Engagement, User Satisfaction, and the Amplification of Divisive Content on Social Media
Engagement-based algorithms often amplify divisive content and fail to meet user preferences. What's the alternative?
By Smitha Milli , Micah Carroll , Yike Wang , Sashrika Pandey , Sebastian Zhao & Anca Dragan -
Essays and Scholarship
Algorithmic Displacement of Social Trust
The problem with social media isn’t problematic content alone—it’s the elimination of processes we rely on to guide our decisions and keep us informed.
By Benjamin Laufer & Helen Nissenbaum -
Essays and Scholarship
Bridging Systems: Open problems for countering destructive divisiveness across ranking, recommenders, and governance
How "bridging" can promote on- and offline social collaboration, productive deliberation, and trust
By Aviv Ovadya & Luke Thorburn -
Essays and Scholarship
It’s the Algorithm: A large-scale comparative field study of misinformation interventions
What different algorithmic interventions reveal about tackling misinformation
By Benjamin Kaiser & Jonathan Mayer -
Essays and Scholarship
Teachable Agents for End-User Empowerment in Personalized Feed Curation
Empowering users to shape their own social media feeds
By Kevin Feng , David McDonald & Amy Zhang -
Essays and Scholarship
Communicative Justice and the Distribution of Attention
When it comes to the digital public sphere, we can do better. But what exactly does better look like?
By Seth Lazar -
Essays and Scholarship
Algorithmic Amplification for Collective Intelligence
Social media promised a new, democratized, and digital public sphere. Algorithms can help us get there.
By Jason W. Burton -
Essays and Scholarship
The Myth of The Algorithm: A system-level view of algorithmic amplification
To understand how algorithms shape the internet, we must understand what algorithms really are.
By Kristian Lum & Tomo Lazovich -
Essays and Scholarship
The Algorithmic Management of Polarization and Violence on Social Media
How social media is designed has the potential to escalate conflict. It's becoming clear that platforms can do more to monitor their impact and discourage violence.
By Jonathan Stray , Ravi Iyer & Helena Puig Larrauri -
Essays and Scholarship
What’s in an Algorithm? Empowering Users Through Nutrition Labels for Social Media Recommender Systems
What if there were a way to measure and better understand social media platforms' algorithms? With "nutrition labels," there might be.
By Luca Belli & Marlena Wisniak -
Essays and Scholarship
How to Prepare for the Deluge of Generative AI on Social Media
A grounded analysis of the challenges and opportunities
By Sayash Kapoor & Arvind Narayanan -
Quick Take
Introducing Visualizing Virality
Illustrating and investigating virality and demotion on Twitter
By Arvind Narayanan -
Event
Optimizing for What? Algorithmic Amplification and Society
A two-day symposium exploring algorithmic amplification and distortion as well as potential interventions
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Essays and Scholarship
Understanding Social Media Recommendation Algorithms
Towards a better informed debate on the effects of social media
By Arvind Narayanan -
Institute Update
Knight Institute Symposium on “Algorithmic Amplification” to Feature Leading Scholars and Technologists
Public event to be held on April 28-29, 2023, at Columbia University and online
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Deep Dive
TikTok’s Secret Sauce
TikTok’s algorithm is ordinary. Its real innovation is something else.
By Arvind Narayanan -
Deep Dive
How To Train Your TikTok
Simple ways to better navigate the platform’s ocean of video content
By Arvind Narayanan -
