Soham De

PhD student @UW | algorithms & AI for pro-social objectives Ex- @AIatMeta @MSFTResearch, @umsi, @ashokauniv Also on

[Soham De @actuallysoham]

Major personal update:

After a bit of hard work and a whole lot of extreme good luck, I'm happy to share that I'll be joining @UW (@uw_ischool) to start my PhD this Fall!

It has been an extremely rewarding journey so far and I look forward to the next phase!

[Soham De @actuallysoham]

@PrernaRavi1 @MSFTResearch @halfak @agrima_seth Congratulations!! Would love to chat if you’re around UW sometime!

[Jonathan Stray @jonathanstray]

Could social media make us less polarized instead of more?

We tested 5 algorithms on 3 platforms with 10,000 people for 6 months during the 2024 election, and found that the answer is yes.
🧵

[Katelyn Mei @MeiKatelyn]

🚨🎉Excited to announce that our paper “Grok in the Wild: Characterizing the Roles and Uses of Large Language Models on Social Media” is accepted at @icwsm 2026! In this paper, we investigate how, when, and to what effect Grok is used on X.

🧵1/n thread

[Soham De @actuallysoham]

@ma_tay_ Congrats Dr Sorensen! 🎉

[Soham De @actuallysoham]

@agdhruv I had no idea you had made what we used to call MessCat haha 🤣 I remember maintaining it for a while and I wonder if it’s still in use?

[Soham De @actuallysoham]

@ma_tay_ @humansand Congratulations!!

[Soham De @actuallysoham]

All thanks to my amazing collaborators @Effeietsanders @ashishgoel @SmithaMilli @ArielProcaccia and Alice Siu!!!

This was some work I did @AIatMeta this summer (more on the way!)

Read more here: https://t.co/1ldEeOQW2X (7/7)

[Soham De @actuallysoham]

🚨 New paper! 🔍
“Question the Questions: Auditing Representation in Online Deliberative Processes”

In deliberative polls, participants propose questions for experts but only a few make it to the panel. How representative are those chosen questions of everyone’s interests? 🧵👇

[Soham De @actuallysoham]

Our auditing tools are integrated into a deliberation platform @StanfordDDL used in 50+ countries, allowing moderators to measure and improve representation in real time (thanks, Harshvardhan Agarwal and others!) (6/7)

[Tim Althoff @timalthoff]

(please reshare) I'm recruiting multiple PhD students and Postdocs @uwcse @uwnlp
(https://t.co/I5wQsFnCLL). Focus areas incl. psychosocial AI simulation and safety, Human-AI collaboration.

PhD: https://t.co/ku40wCrpYh

Postdocs: https://t.co/K9HUIPJ5h6

[smitha milli @SmithaMilli]

Today we're releasing Community Alignment - the largest open-source dataset of human preferences for LLMs, containing ~200k comparisons from >3000 annotators in 5 countries / languages!

There was a lot of research that went into this... 🧵

[Soham De @actuallysoham]

@hungrysohan some have it worse …

[Soham De @actuallysoham]

@shahanmemon Hahaha the chances of me being employed by a YC startup were always slim but are finally 0 😂

[Soham De @actuallysoham]

interesting day on the internet for @actuallysoham 🙃

[Garry Tan @garrytan]

Without the YC community this guy would still be operating and would have maybe never been caught

The startup guild of YC is a necessary invention to help founders be more successful than they would be alone

[Soham De @actuallysoham]

@Marco_Piani Your evaluation idea definitely makes sense to compare AI-assisted vs human written notes (we do something similar here: https://t.co/4rl7dSg5C7) but not sure if that directly solves the bottleneck issue?

[Soham De @actuallysoham]

Here’s our articulation of what the future of Community Notes in an LLM era could look like 👀 :

Very interested to hear your thoughts!

[Jay Baxter @jaybaxter]

Brand new paper on Arxiv with @Li_Haiwen_ @actuallysoham Manon Revel @andreas_h0wpt @__bradmiller__ @kcoleman @msaveski: Scaling Human Judgment in Community Notes with LLMs

Very bullish on the LLM-assisted future of Community Notes 📈

[Soham De @actuallysoham]

@Marco_Piani Yea, I agree with rating being a bottleneck and I think there's a lot of interesting ways to address that issue. For instance, tools/algorithms to assist human raters, transfer ratings across similar notes etc.