Tootfinder

Turns out that if you model online spaces after real world ones, it works pretty well. Online spaces let you be in many places at once which changes the dynamics, but as an example of something that ports well,
https://www.patternlanguageindex.com/patterns/intimacy-gradient
This pattern works not just for the design of houses but online spaces. Let people get to know a group in less-intimate space before they end up in the more-intimate space. Having a few gradations works really well, and it doesn't have to be a power play or status game.

Artificial Intelligence and Civil Discourse: How LLMs Moderate Climate Change Conversations
Wenlu Fan, Wentao Xu
https://arxiv.org/abs/2506.12077 https://

Artificial Intelligence and Civil Discourse: How LLMs Moderate Climate Change Conversations
As large language models (LLMs) become increasingly integrated into online platforms and digital communication spaces, their potential to influence public discourse - particularly in contentious areas like climate change - requires systematic investigation. This study examines how LLMs naturally moderate climate change conversations through their distinct communicative behaviors. We conduct a comparative analysis of conversations between LLMs and human users on social media platforms, using fiv…

'the observation by Marc Dunkelman that digital technology has not obliterated our social connections but rather warped them. Americans today are in constant contact with the inner ring of family and the outer ring of "tribe"—that is, people we follow online, often because we share something in common, such as a sports allegiance or a political ideology. But the middle ring of community has atrophied. We know our online avatars better than we know our neighbors; we interact wit…

The Death of Partying in the U.S.A.—and Why It Matters
Young Americans today spend 70 percent less time attending or hosting parties than they did at the beginning of the 21st century. Why?

Online Regularized Learning Algorithms in RKHS with $\beta$- and $\phi$-Mixing Sequences
Priyanka Roy, Susanne Saminger-Platz
https://arxiv.org/abs/2507.05929

Online Regularized Learning Algorithms in RKHS with $β$- and $ϕ$-Mixing Sequences
In this paper, we study an online regularized learning algorithm in a reproducing kernel Hilbert spaces (RKHS) based on a class of dependent processes. We choose such a process where the degree of dependence is measured by mixing coefficients. As a representative example, we analyze a strictly stationary Markov chain, where the dependence structure is characterized by the \(ϕ\)- and \(β\)-mixing coefficients. Under these assumptions, we derive probabilistic upper bounds as well as convergence…

Early linguistic fingerprints of online users who engage with conspiracy communities
Francesco Corso, Giuseppe Russo, Francesco Pierri, Gianmarco De Francisci Morales
https://arxiv.org/abs/2506.05086

Early linguistic fingerprints of online users who engage with conspiracy communities
Online social media platforms are often seen as catalysts for radicalization, as they provide spaces where extreme beliefs can take root and spread, sometimes leading to real-world consequences. Conspiracy theories represent a specific form of radicalization that is notoriously resistant to online moderation strategies. One explanation for this resilience is the presence of a "conspiratorial mindset", a cognitive framework that fundamentally shapes how conspiracy believers perceive reality. How…

Online Human Action Detection during Escorting
Siddhartha Mondal, Avik Mitra, Chayan Sarkar
https://arxiv.org/abs/2506.23573 https://…

Online Human Action Detection during Escorting
The deployment of robot assistants in large indoor spaces has seen significant growth, with escorting tasks becoming a key application. However, most current escorting robots primarily rely on navigation-focused strategies, assuming that the person being escorted will follow without issue. In crowded environments, this assumption often falls short, as individuals may struggle to keep pace, become obstructed, get distracted, or need to stop unexpectedly. As a result, conventional robotic systems…

Politics and polarization on Bluesky
Ali Salloum, Dorian Quelle, Letizia Iannucci, Alexandre Bovet, Mikko Kivel\"a
https://arxiv.org/abs/2506.03443 ht…

Politics and polarization on Bluesky
Online political discourse is increasingly shaped not by a few dominant platforms but by a fragmented ecosystem of social media spaces, each with its own user base, target audience, and algorithmic mediation of discussion. Such fragmentation may fundamentally change how polarization manifests online. In this study, we investigate the characteristics of political discourse and polarization on the emerging social media site Bluesky. We collect all activity on the platform between December 2024 an…

(1/3) Please join me today on Zoom at 12pm ET / 11am CT / 10am MT / 9am PT for "Beyond the Algorithmic Feed," a free MediaEd Club webinar for the Media Education Lab:
https://mediaeducationlab.com/index.php/events/beyond-algorithmic-feed
While som…

There’s something apt about my computer not recognizing my fingerprint after I #climb hard. When I’m away from screens and moving my body, I too don’t recognize the version of me so consumed with online spaces.
I want to wrench myself back with my weathered hands...hold onto what my computer doesn’t recognize. THAT is who I want to take hold of...and cradle her with calloused hands....

How online misinformation works: a costly signalling perspective
Neri Marsili
https://arxiv.org/abs/2506.17158 https://arxiv.org/pdf/…

How online misinformation works: a costly signalling perspective
This chapter explores how online communication, particularly on social media, reshapes the reputational incentives that motivate speakers to communicate truthfully. Drawing on costly signalling theory (CST), it examines how online contexts alter the social mechanisms that sustain honest communication. Key characteristics of online spaces are identified and discussed, namely (i) the presence of novel speech acts like reposting, (ii) the gamification of communication, (iii) information overload, …

This https://arxiv.org/abs/2506.01642 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csSI_…

Catching Stray Balls: Football, fandom, and the impact on digital discourse
This paper examines how emotional responses to football matches influence online discourse across digital spaces on Reddit. By analysing millions of posts from dozens of subreddits, it demonstrates that real-world events trigger sentiment shifts that move across communities. It shows that negative sentiment correlates with problematic language; match outcomes directly influence sentiment and posting habits; sentiment can transfer to unrelated communities; and offers insights into the content of…

Catching Stray Balls: Football, fandom, and the impact on digital discourse
Mark J. Hill
https://arxiv.org/abs/2506.01642 https://arx…

Catching Stray Balls: Football, fandom, and the impact on digital discourse
This paper examines how emotional responses to football matches influence online discourse across digital spaces on Reddit. By analysing millions of posts from dozens of subreddits, it demonstrates that real-world events trigger sentiment shifts that move across communities. It shows that negative sentiment correlates with problematic language; match outcomes directly influence sentiment and posting habits; sentiment can transfer to unrelated communities; and offers insights into the content of…

The Ethics of Generative AI in Anonymous Spaces: A Case Study of 4chan's /pol/ Board
Parth Gaba, Emiliano De Cristofaro
https://arxiv.org/abs/2506.14191

The Ethics of Generative AI in Anonymous Spaces: A Case Study of 4chan's /pol/ Board
This paper presents a characterization of AI-generated images shared on 4chan, examining how this anonymous online community is (mis-)using generative image technologies. Through a methodical data collection process, we gathered 900 images from 4chan's /pol/ (Politically Incorrect) board, which included the label "/mwg/" (memetic warfare general), between April and July 2024, identifying 66 unique AI-generated images. The analysis reveals concerning patterns in the use of this technology, with …