This ACM CSCW paper shows that online groups requiring active participation commitments (i.e., that you post regularly) see double the contributions and retain users 4 times more (compared to groups with passive reminders). Prob very useful to OSS and Wiki folks.
Manoel Horta Ribeiro
CS PhD student @ EPFL
Keywords: Computational Social Science, Platforms, Communities, Moderation
Our paper on the effects of automated content moderation on Facebook (w @justincheng@twitter.com & @cervisiarius@twitter.com) was accepted at The Web Conference 2023! Will make a detailed thread soon, but you can already read the pre-print!
See you in Texas yeehaw (?)
📰: https://arxiv.org/abs/2210.10454
This cool new preprint argues that third-party bot detection tools generalize poorly due to the lack of robust high-quality data.
In a new blog post, I argue that discourse on social media's (potentially harmful) impact is entirely ~vibes based~.
https://doomscrollingbabel.manoel.xyz/p/discourse-on-social-media-is-vibes
In this new blog post, I argue that to improve online platforms, we need to study content curation practices. That is pretty hard to do, but we should do it anyway :)
https://doomscrollingbabel.manoel.xyz/p/content-curation-in-online-platforms
➡ Can large language models (LLMs) recognize convincing arguments? Kind of.
We propose evaluating LLMs' persuasiveness capabilities by measuring their ability to recognize whether an argument would convince a user with specific demographics.
📜 :arxiv.org/abs/2404.00750
Audience capture is understudied IMO. I find it fascinating because the term comes from IDW folks close to audience-captured influencers (somehow, they reinvented Rebecca Lewis's report). Plus, it is well aligned with findings that the algorithm is not radicalizing people.
🚨LLMs outdebate humans when given access to opponents' personal Information!🚨
In a pre-reg study (N=820), participants who debated ChatGPT had 81.7% (p<0.01) higher odds of agreeing with their opponents after the debate (compared to a human baseline)
Twitter hivemind, what are two algorithmic changes that allegedly impacted platforms greatly? E.g., In 2016, Twitter changed its feed to show content using a ranking algorithm.