Mor Naaman

Online communities are increasingly impacted by GenAI -- and responding to it. In this new paper we looked at the response via analysis of AI-related rules, inspired in great part by papers on Reddit Rules from @cfiesler@hci.social et al and Community Archetypes from @bkeegan@hci.social et al. Travis has the details:

@travislloyd@hci.social

@andresmh@hci.social @PrincetonCS@micro.blogs.princeton.edu I am so glad this worked out -- I helped connect the dots but was happily trekking in the Alps that day.

Always loved the stuff at @ICA_CAT@mastodon.social but never contributed much -- happy to be on the paper from @marianne@hci.social and Madiha which received a top paper award! Great company with the other papers, too.

@ICA_CAT@mastodon.social@hci.social

New paper preprint! How do Reddit moderators deal with AI-generated content? @travislloyd@hci.social tells you all about it here:

@travislloyd@hci.social

(also, follow him on Mastodon)

Is anyone here also on Threads? I am surprised our social computing community is not there yet. Or at least not visibly so. Wait [scary realization] are you guys STILL ON TWITTER?

I hope @andresmh@hci.social doesn't pull a Musk and ban me from hci.social for linking to the competition but if you are thread-ing find me there:

@mmoorr@www.threads.net

Was fun to look at Cofacts, a knowledge-sharing community in Taiwan focused on fact-checking, and how their activities compared (computationally) to professional fact-checkers. Story here. Paper at the Journal of Trust and Safety.
Work led by Andy Zhao

https://news.cornell.edu/stories/2023/11/crowdsourced-fact-checking-fights-misinformation-taiwan

Haha Bing not quite what I had in mind

Great opportunity at Cornell Tech for faculty on sabbatical -- or on a mission! #pitech

https://www.pi.tech.cornell.edu/pitech-faculty-impact-fellowship

🚨New Pub at PNAS🚨! We know people cannot detect language written by AI. But what makes them THINK text was AI-generated? We show that people have consistent heuristics... that are flawed & can be exploited by AI to create text "more human than human" 🧵

https://www.pnas.org/doi/10.1073/pnas.2208839120

(apologies, rare cross-posting from Twitter -- in fact, rare posting on Twitter altogether).

Misinformation on Misinformation. A solid (but debatable) argument.

[I wish I could say this paper was all wrong, in which case it would be... you know]

https://journals.sagepub.com/doi/10.1177/20563051221150412

An AI test from 1971 shows you need to adjust your #ChatGPT expectations.

In 1971, Terry Winograd devised the Winograd Schemas, simple sentence understanding tasks that require the use of knowledge and commonsense reasoning. Humans understand them easily. ChatGPT... not so much.

📣 📝 New paper out! #cscw2022 📝📣

Crisis informatics but when the crisis is long and sustained and you just cannot take it anymore...

Link to tweet where you could follow Marianne as well as here @marianne@hci.social

https://twitter.com/marianneaubin/status/1589637371104210944