@UlrikeHahn@fediscience.org cover
@UlrikeHahn@fediscience.org avatar

UlrikeHahn

@UlrikeHahn@fediscience.org

Academic @Birkbeck, Univ. of London
Centre for Cognition, Computation, and Modelling

was just at Netherlands Institute for Advanced Study working on Digital Democracy with Davide Grossi and Michael Maes

currently here: Munich Centre for Mathematical Philosophy, LMU

back to London next year

works on #rationality #argumentation #testimony #SocialNetworks #misinformation #ComputationalSocialScience #DigitalDemocracy

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UlrikeHahn , to random
@UlrikeHahn@fediscience.org avatar

in light of the news that the creators of Maven, a new Sam Altman backed social network, thought it was a good idea to ‘ingest’ 1 million posts scraped of mastodon.social without consent, I thought I’d repost something I wrote on GDPR and the Bluesky bridge in February, as much of the discussion about the legal issues directly applies.

https://write.as/ulrikehahn/bridging-to-bluesky-the-open-social-web-consent-and-gdpr

rahmstorf , to random
@rahmstorf@fediscience.org avatar

One of the most ominous risks for Europe is that of a major change in Atlantic ocean currents. Recent science suggests it has been greatly underestimated in the past -including by me, having worked on it for over 30 years. Here my half-hour presentation in Vilnius last week!

https://youtu.be/ZHNNW8c_FaA?si=zegi6D3bk6Stf35U

UlrikeHahn ,
@UlrikeHahn@fediscience.org avatar

@rahmstorf thank you!

bibliolater , to ai group
@bibliolater@qoto.org avatar

(Ir)rationality and cognitive biases in large language models

First, the responses given by the LLMs often display incorrect reasoning that differs from cognitive biases observed in humans. This may mean errors in calculations, or violations to rules of logic and probability, or simple factual inaccuracies. Second, the inconsistency of responses reveals another form of irrationality—there is significant variation in the responses given by a single model for the same task.

Macmillan-Scott Olivia and Musolesi Mirco. 2024 (Ir)rationality and cognitive biases in large language models R. Soc. Open Sci. 11: 240255. http://doi.org/10.1098/rsos.240255

@ai

UlrikeHahn ,
@UlrikeHahn@fediscience.org avatar

@bibliolater @ai minor comment: the LLM data are not being compared to multiple responses by a single person on the same task as that is not a general feature of the primary human experimental literature involved. So, as far as I can make out, the levels of human self-consistency are simply imputed/assumed. Doesn’t mean the difference isn’t there, just that the empirical basis seems somewhat anecdotal.

UlrikeHahn ,
@UlrikeHahn@fediscience.org avatar

@bibliolater @ai the other thing maybe worth note is that taking participant responses in the highly constrained pragmatic context of a psych experiment to reflect the full breadth of human responding is a bit misleading. It’s an interesting question how LLMs without pretraining or finetuning respond to experimental questions, but a better comparison might be with data from asking those questions of random shoppers at a mall if “breadth of answer” is of interest

bibliolater , to ai group
@bibliolater@qoto.org avatar

Mapping automatic social media information disorder. The role of bots and AI in spreading misleading information in society

The analysis focused on four research questions: 1) the distribution of misinformation, disinformation, and malinformation across different platforms; 2) recurring themes in fake news and their visibility; 3) the role of artificial intelligence as an authoritative and/or spreader agent; and 4) strategies for combating information disorder. The role of AI was highlighted, both as a tool for fact-checking and building truthiness identification bots, and as a potential amplifier of false narratives.

Tomassi A, Falegnami A, Romano E (2024) Mapping automatic social media information disorder. The role of bots and AI in spreading misleading information in society. PLOS ONE 19(5): e0303183. https://doi.org/10.1371/journal.pone.0303183

#X @ai @socialmedia

UlrikeHahn ,
@UlrikeHahn@fediscience.org avatar

@bibliolater @ai @socialmedia VKontakte has a low disinformation score??

UlrikeHahn , to random German
@UlrikeHahn@fediscience.org avatar

thinking about federation with platforms whose data policies one finds questionable: could there be a kind of „view only“ interaction mode?

that is, I don‘t mind seeing the content but I don‘t want my posts/info going over to that platform…

(much like RSS, basically, but without a need for me to subscribe- content can just show up organically in my TL, for example through boosts or hashtags)

good idea? terrible idea?

UlrikeHahn OP ,
@UlrikeHahn@fediscience.org avatar

@BeAware RSS is already exactly that…

and I‘m not taking anybody‘s data….

I also have no problem with making the whole thing consent based so you exclude no interacting accounts (I‘d personally prefer RSS to be opt in as well)

UlrikeHahn OP ,
@UlrikeHahn@fediscience.org avatar

@BeAware also, it‘s worth remembering that for anything you don‘t post followers only (or private) it might show up in my TL one way or the other without me ever interacting with you directly

futurebird , to random
@futurebird@sauropods.win avatar

Feeling a little off the day after my booster was annoying but, thinking about making ANTybodies makes me happy.

UlrikeHahn ,
@UlrikeHahn@fediscience.org avatar

@futurebird this made me laugh out loud ❤️

pjw , to AcademicChatter group
@pjw@fediphilosophy.org avatar

What are the arguments for and against making one's lecture materials (hand outs, presentations) publicly available on one's website?

I've never met Jeff Speaks, but his philosophy of language and mind handouts posted online have helped me so many times with trying to understand something. Now that I have tenure I kind of want to pay it forward.
But this isn't done very often, so I worry there are downsides I am not taking into account. Thoughts?

@academicchatter

UlrikeHahn ,
@UlrikeHahn@fediscience.org avatar
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