Beyond the Listicle: The Science of Virality

Abstract: The growing abundance of trending stories and un-ignorable zeitgeist moments have turned viral stories into the holy grail of content creation. But what does virality really mean, and how can media companies and brands leverage the principles behind shareability and network cascades to build an audience? This panel brings together experts in the fields of social psychology, network science, and content creation to discuss the underlying commonalities of stories that get shared, the myths about virality we still believe, and the paradox that viral stories aren't always clickable. It's time to look beyond the Buzzfeed listicle and talk about the next wave of viral content.
The event was at SXSW 2016 and featured Jessica Novak, Abigail Posner, Sean Wojcik and myself.
The slides for the event can be located below:
Read more

The Future is Algorithmic Feeds on Bluesky
If the original sin of Web 1.0 was the pop-up ad, the original sin of web 2.0 was the move to algorithmic feeds. Opaque optimization strategies aimed at maximizing private revenue for the sake of what was otherwise externally billed as public goods became increasingly toxic, spawning discourse

How Much Data is Enough for Finetuning an LLM?
There's no shortage of analogies for explaining what an LLM is capable of - one of the best, though, is from this New Yorker article proclaiming it as a "blurry JPEG of the web". This metaphor is particularly useful for capturing many of the technical aspects

Using Synthetic Data Generators to Measure LSTM Lift
Long short-term memory models (LSTMs) are a family of neural networks that are predominantly used to predict the next value given a historical chain of previous values. These can be numerical predictions (i.e. where is the stock price going based on historical stock data) or categorical predictions (i.e.

Some supervision required: LLMs at scale in practice
Recently, I gave a talk at the PIE/Autodesk space to help contextualize some thoughts that have been percolating with regards to the nascent introduction of API-based, widely available LLMs like ChatGPT. In the hype cycle, I've observed some pretty broad claims about what's happening under