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LA Times covering our research on hate speech on Twitter:
"One billionaire owner, twice the hate: Twitter hate speech surged with Musk, study says" latimes.com/business/technolog

Agree. Losing #Twitter is not only a sad thing, it's a serious thing.

And this is exactly the way Musk wants it. He's Trump, only actually rich.

Via Scott Hechinger:

Scott Hechinger:

None of this is funny. #Musk has purposefully destroyed one of the most effective tools of local movements & advocates to be heard & connect with journalists, decision makers, & those with power to amplify critical messages and perspectives.

Wrote this letter to Cognitive Science with David Pietraszewski and Annie Wertz. "On The Problems Solved By Cognitive Processes." psyarxiv.com/3kypq

In positive news, my daughter is a teacher and her classroom geckos hatched. Please enjoy this photo of a newborn gecko.

"Musk screamed about how this was horrible shadowbanning… but then proceeded to use those tools to suppress speech of people he disliked.", techdirt.com/2023/04/10/after-

New paper on auditing Elon's early impact on Twitter.
- Hateful users became more hateful
- Hate increased dramatically
- There was no overall change in bots

Paper (accepted to ICWSM 2023) is here:
arxiv.org/abs/2304.04129

For me, the best part of Twitter was the “closeness” to journalists and media venues. It’s the reason I’m still spending time here.

NPR’s decision to leave is the right one, but probably heralds the final erasure of what made Twitter a magical (good and bad) forum.
---
RT @gbrumfiel
NEW: NPR has decided it will no longer participate on Twitter due to inaccurate labelling of our main account.

Twitter doesn't make or break anything we …
twitter.com/gbrumfiel/status/1

I'm prepping a lecture on social learning strategies, and took the opportunity to revisit this scene that is irrevocably seared into my memory.

Here's my commentary on the very thought-provoking upcoming BBS paper by @amaatouq et al. Theories aren't just isolated explanations, they are linked into frameworks, and whether models are explanatory or just predictive makes a difference. psyarxiv.com/d3wmh

I posted a trascript of my conversation with ChatGPT, the best conversation anyone will ever have with an AI. smaldino.com/wp/how-many-potat

Next was a fabulous podcast with @psmaldino and @add_hawk on the issues with value metrics and governance at the @sfiscience. There's deep conversation here of how KPIs can distort understanding, incentives, and who succeeds, and while I'd like to see more discussion of this in a non-scientific context (you need some coherent KPIs in companies) I still highly recommend it youtube.com/watch?v=tD6hh3ZAxW (3/12)

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@Prof_BearB I’ve been similarly hesitant but at this point I think it’s got enough usage and support that I do see it as a good bet. One of my grad students is similarly all-in for it and has been very convincing.

@j2bryson in terms of pedagogy for social modeling, NetLogo has no real competitors, especially if you want embodied agents or structured populations. I generally encourage the grad students in my lab to use another tool for their research projects (which usually involve ABM). Most Python (with or without Mesa) or Julia (Agents.jl). I first learned with Java and MASON, which I don’t teach or encourage anymore.

@edhagen Nice. I’ve been really impressed with Agents.jl, but it’s always faster to not have all that overhead.

I'm really into learning Julia and Agents.jl (mastering these is my top summer goal), but I have really come around to loving NetLogo -- I wanted a stochastic block model with visualization, and made this from scratch in literally 5 minutes.

Looking much forward to start working with the new colleagues, and an arrivederci to all the great people at the Centre for Culture and Evolution at Brunel University London

Btw, they opened *my* position (deadline 8th March - feel free to get in touch if you have any question):

jobs.ac.uk/job/CXH095/lecturer

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@Prof_BearB I have a big tattoo of a tree on my shoulder. Trees are amazing.

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