Tootfinder

Apple unveils a Liquid Glass design language across its platforms, adding transparency and glass shine effects to Apple's in-app interfaces (Tom Warren/The Verge)
https://www.theverge.com/news/682636/apple-liquid-design-glass-theme-wwdc-2025

Apple’s new design language is Liquid Glass
Apple is launching a new design language. Liquid Glass will be available on all of Apple’s software.

Is #liftgezocht (met hashtags van plaatsnaam) al trending op de diverse social media platforms?
#dtv #staking

WPP Media expects ad revenue from user-generated content and platforms like YouTube and TikTok to surpass that from traditional media for the first time in 2025 (Michael Savage/The Guardian)
https://www.theguardian.com/media/2025/jun

[PODCAST] The problem(s) with platforms by #DemocracyWorks with #CoryDoctorow
https://pca.st/episode/026e66ba…

Detecting Coordination on Short-Video Platforms: The Challenge of Multimodality and Complex Similarity on TikTok
Inga K. Wohlert, Davide Vega, Matteo Magnani, Alexandra Sergerberg
https://arxiv.org/abs/2506.05868

Detecting Coordination on Short-Video Platforms: The Challenge of Multimodality and Complex Similarity on TikTok
Research on online coordinated behaviour has predominantly focused on text-based social media platforms, where coordination manifests clearly through the frequent posting of identical hyperlinks or the frequent re-sharing of the same textual content by the same group of users. However, the rise of short-video platforms like TikTok introduces distinct challenges, by supporting integrated multimodality within posts and complex similarity between them. In this paper, we propose an approach to dete…

Towards Mixed-Criticality Software Architectures for Centralized HPC Platforms in Software-Defined Vehicles: A Systematic Literature Review
Lucas Mauser, Eva Zimmermann, Pavel Nedv\v{e}dick\'y, Tobias Eisenreich, Moritz W\"aschle, Stefan Wagner
https://arxiv.org/abs/2506.05822

Towards Mixed-Criticality Software Architectures for Centralized HPC Platforms in Software-Defined Vehicles: A Systematic Literature Review
Centralized electrical/electronic architectures and High-Performance Computers (HPCs) are redefining automotive software development, challenging traditional microcontroller-based approaches. Ensuring real-time, safety, and scalability in software-defined vehicles necessitates reevaluating how mixed-criticality software is integrated into centralized architectures. While existing research on automotive SoftWare Architectures (SWAs) is relevant to the industry, it often lacks validation through …

WPP Media expects ad revenue from user-generated content and platforms like YouTube and TikTok to surpass that from traditional media for the first time in 2025 (Michael Savage/The Guardian)
https://www.theguardian.com/media/2025/jun

Orbit dimensions in linear and Gaussian quantum optics
Eliott Z. Mamon
https://arxiv.org/abs/2506.07995 https://arxiv.org/pdf/2506.07…

Orbit dimensions in linear and Gaussian quantum optics
In sub-universal quantum platforms such as linear or Gaussian quantum optics, quantum states can behave as different resources, in regard to the extent of their accessible state space (called their orbit) under the action of the restricted unitary group. We propose to study the dimension of a quantum state's orbit (as a manifold in the Hilbert space), a simple yet nontrivial topological property that can quantify "how many" states it can reach. As natural invariants under the group, these struc…

Game Theory in Social Media: A Stackelberg Model of Collaboration, Conflict, and Algorithmic Incentives
Arjan Khadka
https://arxiv.org/abs/2506.05373 https…

Game Theory in Social Media: A Stackelberg Model of Collaboration, Conflict, and Algorithmic Incentives
Social media platforms are ecosystems in which many decisions are constantly made for the benefit of the creators in order to maximize engagement, which leads to a maximization of income. The decisions, ranging from collaboration to public conflict or ``beefing,'' are heavily influenced by social media algorithms, viewer preferences, and sponsor risk. This paper models this interaction as a Stackelberg game in which the algorithm is the leader, setting exposure and reward rules, and the content…

TRIDENT -- A Three-Tier Privacy-Preserving Propaganda Detection Model in Mobile Networks using Transformers, Adversarial Learning, and Differential Privacy
Al Nahian Bin Emran, Dhiman Goswami, Md Hasan Ullah Sadi, Sanchari Das
https://arxiv.org/abs/2506.05421

TRIDENT -- A Three-Tier Privacy-Preserving Propaganda Detection Model in Mobile Networks using Transformers, Adversarial Learning, and Differential Privacy
The proliferation of propaganda on mobile platforms raises critical concerns around detection accuracy and user privacy. To address this, we propose TRIDENT - a three-tier propaganda detection model implementing transformers, adversarial learning, and differential privacy which integrates syntactic obfuscation and label perturbation to mitigate privacy leakage while maintaining propaganda detection accuracy. TRIDENT leverages multilingual back-translation to introduce semantic variance, charact…

Yesterday, I watched "The Match" (승부), a movie that is now available on streaming platforms after it ran in cinemas in March. It tells the story of two Korean Go players who were both considered best in the world at some point: Cho Hun-hyun and Lee Chang-ho, a master and a student who later overtook the master. Side note: Lee Chang-ho was later followed by Lee Sedol as the world's best player who was then followed by AlphaGo. 1/2

Sentiment Analysis in Learning Management Systems Understanding Student Feedback at Scale
Mohammed Almutairi
https://arxiv.org/abs/2506.05490 https://

Sentiment Analysis in Learning Management Systems Understanding Student Feedback at Scale
During the wake of the Covid-19 pandemic, the educational paradigm has experienced a major change from in person learning traditional to online platforms. The change of learning convention has impacted the teacher-student especially in non-verbal communication. The absent of non-verbal communication has led to a reliance on verbal feedback which diminished the efficacy of the educational experience. This paper explores the integration of sentiment analysis into learning management systems (LMS)…

NR4DER: Neural Re-ranking for Diversified Exercise Recommendation
Xinghe Cheng, Xufang Zhou, Liangda Fang, Chaobo He, Yuyu Zhou, Weiqi Luo, Zhiguo Gong, Quanlong Guan
https://arxiv.org/abs/2506.06341

NR4DER: Neural Re-ranking for Diversified Exercise Recommendation
With the widespread adoption of online education platforms, an increasing number of students are gaining new knowledge through Massive Open Online Courses (MOOCs). Exercise recommendation have made strides toward improving student learning outcomes. However, existing methods not only struggle with high dropout rates but also fail to match the diverse learning pace of students. They frequently face difficulties in adjusting to inactive students' learning patterns and in accommodating individuali…

Apple says macOS 26 Tahoe will be the last release of macOS that supports Intel Macs, with future macOS versions only available to Apple Silicon Macs (Benjamin Mayo/9to5Mac)
https://9to5mac.com/2025/06/09/apple-will-end-support-for-intel-macs/

Apple will end support for Intel Macs next year, macOS 27 will require Apple Silicon - 9to5Mac
During the Platforms State of the Union at WWDC, Apple just announced that macOS 26 Tahoe will be the last...

An Efficient Digital Watermarking Technique for Small Scale devices
Kaushik Talathi, Aparna Santra Biswas
https://arxiv.org/abs/2506.06691 https://

An Efficient Digital Watermarking Technique for Small Scale devices
In the age of IoT and mobile platforms, ensuring that content stay authentic whilst avoiding overburdening limited hardware is a key problem. This study introduces hybrid Fast Wavelet Transform & Additive Quantization index Modulation (FWT-AQIM) scheme, a lightweight watermarking approach that secures digital pictures on low-power, memory-constrained small scale devices to achieve a balanced trade-off among robustness, imperceptibility, and computational efficiency. The method embeds watermark …

Resource-efficient crosstalk mitigation for the high-fidelity operation of photonic integrated circuits with induced phase shifters
Andreas Fyrillas, Nicolas Heurtel, Simone Piacentini, Nicolas Maring, Jean Senellart, Nadia Belabas
https://arxiv.org/abs/2506.05988

Resource-efficient crosstalk mitigation for the high-fidelity operation of photonic integrated circuits with induced phase shifters
Photonic integrated circuits (PICs) are key platforms for the compact and stable manipulation of classical and quantum light. Imperfections arising from fabrication constraints, tolerances, and operation wavelength limit the accuracy of intended operations on light and impede the practical utility of current PICs. In particular, crosstalk between reconfigurable phase shifters is challenging to characterize due to the large number of parameters to estimate and the difficulty in isolating individ…

Anyone else experiencing problems (again) with link previews (including thumbnail images) when posting from #Mastodon via #Bridgy to #Bluesky?
Have reported the issue to the team, hopefully it can be sorted b…

Fediverse => Bluesky: auto-generate embeds (with thumbnail images) for links? · Issue #1411 · snarfed/bridgy-fed
I do not know if this is a general problem between platforms or if it is strictly an issue between Mastodon -> Bluesky, but whenever I post an article (or other external link) on Mastodon the thumb...

Dual-mode superconducting diode effect enabled by in-plane and out-of-plane magnetic field
Chengyu Yan, Huai Guan, Zhenyu Zhang, Yiheng Sun, Qiao Chen, Xinming Zhao, Chuanwen Zhao, James Jun He, Shun Wang
https://arxiv.org/abs/2506.07354

Dual-mode superconducting diode effect enabled by in-plane and out-of-plane magnetic field
The discovery of the superconducting diode effect (SDE) has been cherished as a milestone in developing superconducting electronics. Tremendous efforts are being dedicated to realizing SDE in a wide variety of material platforms. Despite the diversity in the hosting materials and device designs, SDE is usually operated in a single mode which is enabled by either out-of-plane or in-plane magnetic field/magnetization. In this work, we report the realization of a dual-mode SDE in 2H-$\mathrm{NbS_2…

Optically accessible high-finesse millimeter-wave resonator for cavity quantum electrodynamics with atom arrays
Tony Zhang, Michelle Wu, Sam R. Cohen, Lin Xin, Debadri Das, Kevin K. S. Multani, Nolan Peard, Anne-Marie Valente-Feliciano, Paul B. Welander, Amir H. Safavi-Naeini, Emilio A. Nanni, Monika Schleier-Smith
https://arxiv…

Optically accessible high-finesse millimeter-wave resonator for cavity quantum electrodynamics with atom arrays
Cavity quantum electrodynamics (QED) is a powerful tool in quantum science, enabling preparation of non-classical states of light and scalable entanglement of many atoms coupled to a single field mode. While the most coherent atom-photon interactions have been achieved using superconducting millimeter-wave cavities coupled to Rydberg atoms, these platforms so far lack the optical access required for trapping and addressing individual atomic qubits. We present a millimeter-wave Fabry-Pérot cavi…

ego_social: Ego networks in social media (2012)
Ego networks associated with a set of accounts of three social media platforms (Facebook, Google , and Twitter). Datasets include node features (profile metadata), circles, and ego networks, and were crawled from public sources in 2012.
This network has 511 nodes and 35013 edges.
Tags: Social, Online, Unweighted, Metadata

Research on E-Commerce Long-Tail Product Recommendation Mechanism Based on Large-Scale Language Models
Qingyi Lu, Haotian Lyu, Jiayun Zheng, Yang Wang, Li Zhang, Chengrui Zhou
https://arxiv.org/abs/2506.06336

Research on E-Commerce Long-Tail Product Recommendation Mechanism Based on Large-Scale Language Models
As e-commerce platforms expand their product catalogs, accurately recommending long-tail items becomes increasingly important for enhancing both user experience and platform revenue. A key challenge is the long-tail problem, where extreme data sparsity and cold-start issues limit the performance of traditional recommendation methods. To address this, we propose a novel long-tail product recommendation mechanism that integrates product text descriptions and user behavior sequences using a large-…

A look at the intensifying race for super apps in the Gulf, as Careem, Talabat, Amazon, Botim, and Noon consolidate various services into single platforms (Divsha Bhat/Rest of World)
https://restofworld.org/2025/middle-east-super-apps/

Tech giants in the Gulf are building super-apps to dominate digital life
From Dubai to Riyadh, apps are consolidating ride-hailing, payments, and delivery into single platforms.

Measuring the co-evolution of online engagement with (mis)information and its visibility at scale
Yueting Han, Paolo Turrini, Marya Bazzi, Giulia Andrighetto, Eugenia Polizzi, Manlio De Domenico
https://arxiv.org/abs/2506.06106

Measuring the co-evolution of online engagement with (mis)information and its visibility at scale
Online attention is an increasingly valuable resource in the digital age, with extraordinary events such as the COVID-19 pandemic fuelling fierce competition around it. As misinformation pervades online platforms, users seek credible sources, while news outlets compete to attract and retain their attention. Here we measure the co-evolution of online "engagement" with (mis)information and its "visibility", where engagement corresponds to user interactions on social media, and visibility to fluct…

Social media platforms have become so closed this days. I hate when I get a Tik Tok link. I can't do anything with that and I am not creating a Tik Tok account. How exactly do those platforms resonate around that? Aren't they making it harder to get new users? Are people really going around and creating accounts in all platforms just to be able to see that one link they received from someone?

This https://arxiv.org/abs/2412.18148 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csAI_…

Are We in the AI-Generated Text World Already? Quantifying and Monitoring AIGT on Social Media
Social media platforms are experiencing a growing presence of AI-Generated Texts (AIGTs). However, the misuse of AIGTs could have profound implications for public opinion, such as spreading misinformation and manipulating narratives. Despite its importance, it remains unclear how prevalent AIGTs are on social media. To address this gap, this paper aims to quantify and monitor the AIGTs on online social media platforms. We first collect a dataset (SM-D) with around 2.4M posts from 3 major social…

Ground state exciton-polariton condensation by coherent Floquet driving
Alexander Kuznetsov, Ignacio Carraro-Haddad, Gonzalo Usaj, Klaus Biermann, Alejandro Fainstein, Paulo V. Santos
https://arxiv.org/abs/2506.05874

Ground state exciton-polariton condensation by coherent Floquet driving
The on-demand selective population transfer between states in multilevel quantum systems is a challenging problem with implications for a wide-range of physical platforms including photon and exciton-polariton Bose- Einstein condensates (BECs). Here, we introduce an universal strategy for this selective transfer based on a strong time-periodic energy modulation, which is experimentally demonstrated by using a GHz acoustic wave to control the gain and loss of confined modes of an exciton-polarit…

Hello, Its been a bit, as I have been doing other works right now, but here an #article this time about #grayjay a #crossplatform

#Digitalsteuer für Datenkraken-Konzerne bzw. "Plattformsoli": Unisono kritisch äußerten sich die nicht wenigen deutschen Digitalwirtschaftsverbände. Sowohl beim eco-Verband als auch beiBitkom und BVDW zahlen die Google Germany GmbH und die Facebook Germany GmbH (bzw. Meta Platforms, Inc.) jeweils Mitgliedsbeiträge. An Lobby-Ausgaben sparen sie weder in Brüssel noch in Deutschland…

Kolumne: Das Altpapier am 3. Juni 2025 – Die Digitalsteuer-Debatte
... die der neue Kulturstaatsminister Weimer anzettelte, nimmt Fahrt auf. Digitalminister Wildberger legte auf zwei ausgesprochen unterschiedlichen Konferenzen erste Auftritte hin.

This https://arxiv.org/abs/2411.16826 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCY_…

Ideological Fragmentation of the Social Media Ecosystem: From echo chambers to echo platforms
The entertainment-driven nature of social media encourages users to engage with like-minded individuals and consume content aligned with their beliefs, limiting exposure to diverse perspectives. Simultaneously, users migrate between platforms, either due to moderation policies like de-platforming or in search of environments better suited to their preferences. These dynamics drive the specialization of the social media ecosystem, shifting from internal echo chambers to "echo platforms"--entire …

Please join me on July 7th for next month's MediaEd Club webinar for the Media Education Lab: "Privacy, Power, and Platforms"
https://mediaeducationlab.com/index.php/events/privacy-power-and-platforms
If you missed today's / this month…

France has been developing its own digital tools and platforms for governmental use. I hope other countries follow suit, rather than relying on Google or Microsoft for government and education systems: https://www.numerique.gouv.fr/uploads/DINUM-roadmap_EN.pdf

Some YouTube channels are using AI to turn paywalled articles into videos without the consent of publishers, often adding inaccuracies (Rhi Storer/Press Gazette)
https://pressgazette.co.uk/platforms/google-handling-s…

Google 'handling stolen goods' with Youtube theft of paywalled news articles
Youtube channels use AI to turn paywalled articles into videos.

Since migrating away from big tech platforms (including Google Drive) I have been using Libreoffice for my writing and presentations.
I often get asked why I do not use OnlyOffice since it looks so much better (especially the web client). Two answers:
- The presentation tools of OnlyOffice are too barebones
But more importantly:
OnlyOffice is a company that seems to be controlled by a Russian guy who invests a lot of time to hide the fact that OnlyOffice is Russian (see…

Comparing Collabora with OnlyOffice
Collabora Online provides excellent interoperabilty, efficient backend for scalability, best privacy, and a rich interface for cooperation and editing docx, xlsx, pptx and odf

Release, release, release
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3 releases
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3 platforms
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3 contrasts
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#NewMusic #MusicVideo
https://

Release, release, release
Stan Stewart - @muz4now

This https://arxiv.org/abs/2505.11282 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCV_…

MTevent: A Multi-Task Event Camera Dataset for 6D Pose Estimation and Moving Object Detection
Mobile robots are reaching unprecedented speeds, with platforms like Unitree B2, and Fraunhofer O3dyn achieving maximum speeds between 5 and 10 m/s. However, effectively utilizing such speeds remains a challenge due to the limitations of RGB cameras, which suffer from motion blur and fail to provide real-time responsiveness. Event cameras, with their asynchronous operation, and low-latency sensing, offer a promising alternative for high-speed robotic perception. In this work, we introduce MTeve…

This https://arxiv.org/abs/2502.00722 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csDC_…

Demystifying Cost-Efficiency in LLM Serving over Heterogeneous GPUs
Recent advancements in Large Language Models (LLMs) have led to increasingly diverse requests, accompanied with varying resource (compute and memory) demands to serve them. However, this in turn degrades the cost-efficiency of LLM serving as common practices primarily rely on homogeneous GPU resources. In response to this problem, this work conducts a thorough study about serving LLMs over heterogeneous GPU resources on cloud platforms. The rationale is that different GPU types exhibit distinct…

@… streaming platforms have some GNARLY ux — autoplay is another one that drives me bonkers

Propaganda and Information Dissemination in the Russo-Ukrainian War: Natural Language Processing of Russian and Western Twitter Narratives
Zaur Gouliev
https://arxiv.org/abs/2506.01807

Propaganda and Information Dissemination in the Russo-Ukrainian War: Natural Language Processing of Russian and Western Twitter Narratives
The conflict in Ukraine has been not only characterised by military engagement but also by a significant information war, with social media platforms like X, formerly known as Twitter playing an important role in shaping public perception. This article provides an analysis of tweets from propaganda accounts and trusted accounts collected from the onset of the war, February 2022 until the middle of May 2022 with n=40,000 total tweets. We utilise natural language processing and machine learning a…

I had set up a Gumroad account years ago to experiment with some digital sales and subscription stuff but after reading that the CEO of Gumroad worked for DOGE and Musk I deleted that fucking account.
Most of us don't have a lot of power individually but we can still make choices about the platforms we use (and don't use).
➡️

WIRED Talked to a Fired DOGE Staffer About Who Was Really in Charge
Sahil Lavingia, who says he was fired from DOGE after speaking out about his experiences there, told WIRED about how he communicated with the group, who appears to be in charge, and what might be coming next.

This https://arxiv.org/abs/2506.01046 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csRO_…

STATE-NAV: Stability-Aware Traversability Estimation for Bipedal Navigation on Rough Terrain
Bipedal robots have advantages in maneuvering human-centered environments, but face greater failure risk compared to other stable mobile plarforms such as wheeled or quadrupedal robots. While learning-based traversability has been widely studied for these platforms, bipedal traversability has instead relied on manually designed rules with limited consideration of locomotion stability on rough terrain. In this work, we present the first learning-based traversability estimation and risk-sensitive…

This https://arxiv.org/abs/2202.12453 has been replaced.
link: https://scholar.google.com/scholar?q=a

Social Learning under Platform Influence: Consensus and Persistent Disagreement
Individuals increasingly rely on social networking platforms to form opinions. However, these platforms typically aim to maximize engagement, which may not align with social good. In this paper, we introduce an opinion dynamics model where agents are connected in a social network, and update their opinions based on their neighbors' opinions and on the content shown to them by the platform. We focus on a stochastic block model with two blocks, where the initial opinions of the individuals in dif…

@… @… @… @…

Förderung in Kooperation mit dem SWR X LAB und Mastodon
★ 10.000 € Förderung ★ 6 Monate ► Finde neue Lösungsansätze für soziale Plattformen und entwickle mit anderen Expert:innen funktionierende Prototypen.

Definitely not under the radar in Toronto, I see their logo everywhere, both on restaurants and drivers.
Didn’t know it was a delivery app from Vancouver
#fantuan #buycanadian

ThinkTank: A Framework for Generalizing Domain-Specific AI Agent Systems into Universal Collaborative Intelligence Platforms
Praneet Sai Madhu Surabhi, Dheeraj Reddy Mudireddy, Jian Tao
https://arxiv.org/abs/2506.02931

ThinkTank: A Framework for Generalizing Domain-Specific AI Agent Systems into Universal Collaborative Intelligence Platforms
This paper presents ThinkTank, a comprehensive and scalable framework designed to transform specialized AI agent systems into versatile collaborative intelligence platforms capable of supporting complex problem-solving across diverse domains. ThinkTank systematically generalizes agent roles, meeting structures, and knowledge integration mechanisms by adapting proven scientific collaboration methodologies. Through role abstraction, generalization of meeting types for iterative collaboration, and…

An NBC News and Get Real Security [analysis](https://www.nbcnews.com/tech/tech-news
/internet-thinks-video-gaza-ai-s-proved-isnt-rcna209617) found no evidence of AI generation or manipulation in the video of people waiting for food in Rafah.

Technology and Media News
Get the latest news on technology businesses and Internet media at NBCNews.com. Learn about the digital trends and platforms that are disrupting media and tech companies.

A probe found hundreds of ads for "nudify" apps on Meta platforms; Meta removed the ads, and says those behind the apps constantly evolve to avoid detection (Emmet Lyons/CBS News)
https://www.cbsnews.com/news/meta-instagra

Strongly Correlated Transport in Topological Y-Junction Devices
E. Novais
https://arxiv.org/abs/2506.05051 https://arxiv.org/pdf/2506…

Strongly Correlated Transport in Topological Y-Junction Devices
I study electron transport through a Y-shaped junction of helical edge states in a two-dimensional topological insulator (2DTI), focusing on the strongly interacting regime. An experimentally accessible device geometry is proposed, and the corresponding conductance tensor is calculated. These results position Y-junctions of 2DTI as promising platforms for interaction-driven transport and nanoscale device applications in spintronics and topological electronics.

Analytics company founder: Hosters demands over server costs are unworkable
„The hosting platforms will just have to give us servers for free“ Daniel said in an interview, while wearing a onesie Pyjama in the form of an octopus. https://mastodon.social/@jensscholz/114573315…

Jens Scholz ⍟ (@jensscholz@mastodon.social)
Attached: 1 image Ok, kill it then. If your business is not feasable if you have to pay for the ressources you need for your product, it's not a business anyway.

User Altruism in Recommendation Systems
Ekaterina Fedorova, Madeline Kitch, Chara Podimata
https://arxiv.org/abs/2506.04525 https://a…

User Altruism in Recommendation Systems
Users of social media platforms based on recommendation systems (RecSys) (e.g. TikTok, X, YouTube) strategically interact with platform content to influence future recommendations. On some such platforms, users have been documented to form large-scale grassroots movements encouraging others to purposefully interact with algorithmically suppressed content in order to "boost" its recommendation; we term this behavior user altruism. To capture this behavior, we study a game between users and a Rec…

Fubo and DAZN announce a multi-year deal to distribute their linear channels, which include exclusive sports rights, on each other's platforms in the US (Lucas Manfredi/The Wrap)
https://www.thewrap.com/fubo-and-dazn-strike-multi-year-spo…

Fubo and DAZN Strike Multi-Year Sports TV Network Partnership
The pact will see the streamers distribute their owned-and-operated linear channels on each other's U.S. platforms.

Still think #AI hallucinations are harmless?
https://reason.com/volokh/2025/04/30/large-libel-mode…

Large Libel Models: New AI Libel Lawsuit, Brought by Conservative Activist Robby Starbuck Against Meta
  Some excerpts from the long Complaint in Starbuck v. Meta Platforms, Inc., filed in Delaware Superior Court yesterday (for more on the legal issues

This https://arxiv.org/abs/2412.18407 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_sta…

A Statistical Framework for Ranking LLM-Based Chatbots
Large language models (LLMs) have transformed natural language processing, with frameworks like Chatbot Arena providing pioneering platforms for evaluating these models. By facilitating millions of pairwise comparisons based on human judgments, Chatbot Arena has become a cornerstone in LLM evaluation, offering rich datasets for ranking models in open-ended conversational tasks. Building upon this foundation, we propose a statistical framework that incorporates key advancements to address specif…

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…

This https://arxiv.org/abs/2406.02463 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCR_…

Click Without Compromise: Online Advertising Measurement via Per User Differential Privacy
Online advertising is a cornerstone of the Internet ecosystem, with advertising measurement playing a crucial role in optimizing efficiency. Ad measurement entails attributing desired behaviors, such as purchases, to ad exposures across various platforms, necessitating the collection of user activities across these platforms. As this practice faces increasing restrictions due to rising privacy concerns, safeguarding user privacy in this context is imperative. Our work is the first to formulate …

This https://arxiv.org/abs/2504.05549 has been replaced.
initial toot: https://mastoxiv.page/@…

Fast and direct preparation of a genuine lattice BEC via the quantum Mpemba effect
We present an efficient method for dissipatively preparing a Bose-Einstein condensate (BEC) directly on a lattice, avoiding the need for a two-staged preparation procedure currently used in ultracold-atom platforms. Our protocol is based on driving the lattice-subsystem into a non-equilibrium steady state, which we show to exhibit a lattice analog of a true BEC, where the depletion can be controlled via the dissipation strength. Furthermore, exploiting a symmetry-based Mpemba effect, we analyti…

This https://arxiv.org/abs/2403.08929 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_mat…

Two-sided Assortment Optimization: Adaptivity Gaps and Approximation Algorithms
To address efficiency and design challenges in choice-based matching platforms, we introduce a two-sided assortment optimization framework under general choice preferences. The goal in this problem is to maximize the expected number of matches by deciding which assortments are displayed to the agents and the order in which they are shown. In this context, we identify several classes of policies that platforms can use in their design. Our goals are: (1) to measure the value that one class of pol…

Bridging Subjective and Objective QoE: Operator-Level Aggregation Using LLM-Based Comment Analysis and Network MOS Comparison
Parsa Hassani Shariat Panahi, Amir Hossein Jalilvand, M. Hasan Najafi
https://arxiv.org/abs/2506.00924

Bridging Subjective and Objective QoE: Operator-Level Aggregation Using LLM-Based Comment Analysis and Network MOS Comparison
This paper introduces a dual-layer framework for network operator-side quality of experience (QoE) assessment that integrates both objective network modeling and subjective user perception extracted from live-streaming platforms. On the objective side, we develop a machine learning model trained on mean opinion scores (MOS) computed via the ITU-T P.1203 reference implementation, allowing accurate prediction of user-perceived video quality using only network parameters such as packet loss, delay…

Solsmith: Solidity Random Program Generator for Compiler Testing
Lantian Li, Zhihao Liu, Zhongxing Yu
https://arxiv.org/abs/2506.03909 https://

Solsmith: Solidity Random Program Generator for Compiler Testing
Smart contracts are computer programs that run on blockchain platforms, with Solidity being the most widely used language for their development. As blockchain technology advances, smart contracts have become increasingly important across various fields. In order for smart contracts to operate correctly, the correctness of the compiler is particularly crucial. Although some research efforts have been devoted to testing Solidity compilers, they primarily focus on testing methods and do not addres…

This https://arxiv.org/abs/2502.20491 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csHC_…

Examining Algorithmic Curation on Social Media: An Empirical Audit of Reddit's r/popular Feed
Platforms are increasingly relying on algorithms to curate the content within users' social media feeds. However, the growing prominence of proprietary, algorithmically curated feeds has concealed what factors influence the presentation of content on social media feeds and how that presentation affects user behavior. This lack of transparency can be detrimental to users, from reducing users' agency over their content consumption to the propagation of misinformation and toxic content. To uncover…

This https://arxiv.org/abs/2305.11943 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csSI_…

Public versus Less-Public News Engagement on Facebook: Patterns Across Bias and Reliability
The rapid growth of social media as a news platform has raised significant concerns about the influence and societal impact of biased and unreliable news on these platforms. While much research has explored user engagement with news on platforms like Facebook, most studies have focused on publicly shared posts. This focus leaves an important question unanswered: how representative is the public sphere of Facebook's entire ecosystem? Specifically, how much of the interactions occur in less-publi…

Readwise würfelte mir heute dieses Zitat in die Wiedervorlage und ich musste direkt nachsehen, wann der Artikel geschrieben wurde. 2014. Wer hätte gedacht, dass sich 6 Jahre später alles noch viel schlimmer entwickeln würde?
https://www.theawl.com/2014/10/shot-through-the-…

Genetic Algorithm-Based Inverse Design of Guided Wave Planar Terahertz Filters
Ali Dehghanian, Thomas Darcie, Levi Smith
https://arxiv.org/abs/2506.03372 h…

Genetic Algorithm-Based Inverse Design of Guided Wave Planar Terahertz Filters
We present a genetic algorithm (GA)-based inverse design framework for synthesizing high-performance planar terahertz (THz) filters integrated with coplanar striplines (CPSs). The method efficiently explores high-dimensional design spaces to generate filter geometries matching user-defined S-parameter magnitude and phase responses, while enforcing structural connectivity for compatibility with terahertz system-on-chip (TSoC) platforms. To accelerate optimization, filter performance is evaluated…

Studentenvisum für die #USA ? Geh' zur Botschaft und bring' Dein digitales Leben mit: "Under the screening process, consular officers would examine applicants’ posts, shares, and comments across platforms such as Instagram, X, and TikTok for content they deem to be threatening to national security, ..."

SNIFR : Boosting Fine-Grained Child Harmful Content Detection Through Audio-Visual Alignment with Cascaded Cross-Transformer
Orchid Chetia Phukan, Mohd Mujtaba Akhtar, Girish, Swarup Ranjan Behera, Abu Osama Siddiqui, Sarthak Jain, Priyabrata Mallick, Jaya Sai Kiran Patibandla, Pailla Balakrishna Reddy, Arun Balaji Buduru, Rajesh Sharma
https://

SNIFR : Boosting Fine-Grained Child Harmful Content Detection Through Audio-Visual Alignment with Cascaded Cross-Transformer
As video-sharing platforms have grown over the past decade, child viewership has surged, increasing the need for precise detection of harmful content like violence or explicit scenes. Malicious users exploit moderation systems by embedding unsafe content in minimal frames to evade detection. While prior research has focused on visual cues and advanced such fine-grained detection, audio features remain underexplored. In this study, we embed audio cues with visual for fine-grained child harmful c…

Shares of Circle jumped 124%, opening at $69.50 on the NYSE, after the stablecoin company raised almost $1.1B in an IPO (Tanaya Macheel/CNBC)
https://www.cnbc.com/2025/06/05/stablecoin-issuer-circle-soars-in-…

Stablecoin issuer Circle soars 124% in NYSE debut after pricing IPO above expected range
Circle joins Coinbase, Mara Holdings and Riot Platforms as one of the few pure-play crypto companies to list in the U.S. 

This is your regular reminder that open source, self-hosting tools are great AND you don't actually have to host them yourself most of the time! Plenty of great companies offer these tools as a paid-for service - exactly like the subscriptions you have on those other platforms, except more ethical.
I'll share my favourites in the thread - please add yours!

Distributionally Robust Optimization for Aerial Multi-access Edge Computing via Cooperation of UAVs and HAPs
Ziye Jia, Can Cui, Chao Dong, Qihui Wu, Zhuang Ling, Dusit Niyato, Zhu Han
https://arxiv.org/abs/2506.01972

Distributionally Robust Optimization for Aerial Multi-access Edge Computing via Cooperation of UAVs and HAPs
With an extensive increment of computation demands, the aerial multi-access edge computing (MEC), mainly based on unmanned aerial vehicles (UAVs) and high altitude platforms (HAPs), plays significant roles in future network scenarios. In detail, UAVs can be flexibly deployed, while HAPs are characterized with large capacity and stability. Hence, in this paper, we provide a hierarchical model composed of an HAP and multi-UAVs, to provide aerial MEC services. Moreover, considering the errors of c…

STATE-NAV: Stability-Aware Traversability Estimation for Bipedal Navigation on Rough Terrain
Ziwon Yoon, Lawrence Y. Zhu, Lu Gan, Ye Zhao
https://arxiv.org/abs/2506.01046

STATE-NAV: Stability-Aware Traversability Estimation for Bipedal Navigation on Rough Terrain
Bipedal robots have advantages in maneuvering human-centered environments, but face greater failure risk compared to other stable mobile plarforms such as wheeled or quadrupedal robots. While learning-based traversability has been widely studied for these platforms, bipedal traversability has instead relied on manually designed rules with limited consideration of locomotion stability on rough terrain. In this work, we present the first learning-based traversability estimation and risk-sensitive…

I'm Sorry Dave, I'm Afraid I Can't Return That: On YouTube Search API Use in Research
Alexandros Efstratiou
https://arxiv.org/abs/2506.04422 ht…

I'm Sorry Dave, I'm Afraid I Can't Return That: On YouTube Search API Use in Research
YouTube is among the most widely-used platforms worldwide, and has seen a lot of recent academic attention. Despite its popularity and the number of studies conducted on it, much less is understood about the way in which YouTube's Data API, and especially the Search endpoint, operates. In this paper, we analyze the API's behavior by running identical queries across a period of 12 weeks. Our findings suggest that the search endpoint returns highly inconsistent results between queries in ways tha…

(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…

Mistral releases Mistral Code, a "vibe coding" client forked from open source project Continue, in private beta on JetBrains platforms and VS Code (Kyle Wiggers/TechCrunch)
https://techcrunch.com/2025/06/04/mistral-releases-a-vibe-co…

Mistral releases a vibe coding client, Mistral Code | TechCrunch
French AI startup Mistral is releasing its own 'vibe coding' client, Mistral Code, to compete with incumbents like Windsurf, Anysphere's Cursor, and GitHub Copilot.

Improving Regulatory Oversight in Online Content Moderation
Benedetta Tessa, Denise Amram, Anna Monreale, Stefano Cresci
https://arxiv.org/abs/2506.04145 h…

Improving Regulatory Oversight in Online Content Moderation
The European Union introduced the Digital Services Act (DSA) to address the risks associated with digital platforms and promote a safer online environment. However, despite the potential of components such as the Transparency Database, Transparency Reports, and Article 40 of the DSA to improve platform transparency, significant challenges remain. These include data inconsistencies and a lack of detailed information, which hinder transparency in content moderation practices. Additionally, the ab…

Synopsis: Secure and private trend inference from encrypted semantic embeddings
Madelyne Xiao, Palak Jain, Micha Gorelick, Sarah Scheffler
https://arxiv.org/abs/2505.23880

Synopsis: Secure and private trend inference from encrypted semantic embeddings
WhatsApp and many other commonly used communication platforms guarantee end-to-end encryption (E2EE), which requires that service providers lack the cryptographic keys to read communications on their own platforms. WhatsApp's privacy-preserving design makes it difficult to study important phenomena like the spread of misinformation or political messaging, as users have a clear expectation and desire for privacy and little incentive to forfeit that privacy in the process of handing over raw data…

NYT and Amazon agree to a content licensing deal for use in Amazon's AI platforms and to bring the NYT's "content to a variety of Amazon customer experiences" (New York Times)
https://www.nytimes.com/2025/05/29/business/m…

The Times and Amazon Announce an A.I. Licensing Deal
In 2023, The Times sued OpenAI and Microsoft for copyright infringement. Now its editorial content will appear across Amazon platforms.

PUB: An LLM-Enhanced Personality-Driven User Behaviour Simulator for Recommender System Evaluation
Chenglong Ma, Ziqi Xu, Yongli Ren, Danula Hettiachchi, Jeffrey Chan
https://arxiv.org/abs/2506.04551

PUB: An LLM-Enhanced Personality-Driven User Behaviour Simulator for Recommender System Evaluation
Traditional offline evaluation methods for recommender systems struggle to capture the complexity of modern platforms due to sparse behavioural signals, noisy data, and limited modelling of user personality traits. While simulation frameworks can generate synthetic data to address these gaps, existing methods fail to replicate behavioural diversity, limiting their effectiveness. To overcome these challenges, we propose the Personality-driven User Behaviour Simulator (PUB), an LLM-based simulati…

This https://arxiv.org/abs/2403.08929 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_mat…

Two-sided Assortment Optimization: Adaptivity Gaps and Approximation Algorithms
To address efficiency and design challenges in choice-based matching platforms, we introduce a two-sided assortment optimization framework under general choice preferences. The goal in this problem is to maximize the expected number of matches by deciding which assortments are displayed to the agents and the order in which they are shown. In this context, we identify several classes of policies that platforms can use in their design. Our goals are: (1) to measure the value that one class of pol…

Big Data-Driven Fraud Detection Using Machine Learning and Real-Time Stream Processing
Chen Liu, Hengyu Tang, Zhixiao Yang, Ke Zhou, Sangwhan Cha
https://arxiv.org/abs/2506.02008 …

Big Data-Driven Fraud Detection Using Machine Learning and Real-Time Stream Processing
In the age of digital finance, detecting fraudulent transactions and money laundering is critical for financial institutions. This paper presents a scalable and efficient solution using Big Data tools and machine learning models. We utilize realtime data streaming platforms like Apache Kafka and Flink, distributed processing frameworks such as Apache Spark, and cloud storage services AWS S3 and RDS. A synthetic dataset representing real-world Anti-Money Laundering (AML) challenges is employed t…

Quantum Agents
Eldar Sultanow, Madjid Tehrani, Siddhant Dutta, William J Buchanan, Muhammad Shahbaz Khan
https://arxiv.org/abs/2506.01536 https://

Quantum Agents
This paper explores the intersection of quantum computing and agentic AI by examining how quantum technologies can enhance the capabilities of autonomous agents, and, conversely, how agentic AI can support the advancement of quantum systems. We analyze both directions of this synergy and present conceptual and technical foundations for future quantum-agentic platforms. Our work introduces a formal definition of quantum agents and outlines potential architectures that integrate quantum computing…

Small Stickers, Big Meanings: A Multilingual Sticker Semantic Understanding Dataset with a Gamified Approach
Heng Er Metilda Chee, Jiayin Wang, Zhiqiang Guo, Weizhi Ma, Min Zhang
https://arxiv.org/abs/2506.01668

Small Stickers, Big Meanings: A Multilingual Sticker Semantic Understanding Dataset with a Gamified Approach
Stickers, though small, are a highly condensed form of visual expression, ubiquitous across messaging platforms and embraced by diverse cultures, genders, and age groups. Despite their popularity, sticker retrieval remains an underexplored task due to the significant human effort and subjectivity involved in constructing high-quality sticker query datasets. Although large language models (LLMs) excel at general NLP tasks, they falter when confronted with the nuanced, intangible, and highly spec…

Advancing Digital Accessibility In Digital Pharmacy, Healthcare, And Wearable Devices: Inclusive Solutions for Enhanced Patient Engagement
Vishnu Ramineni, Balaji Shesharao Ingole, Nikhil Kumar Pulipeta, Balakrishna Pothineni, Aditya Gupta
https://arxiv.org/abs/2505.24042

Advancing Digital Accessibility In Digital Pharmacy, Healthcare, And Wearable Devices: Inclusive Solutions for Enhanced Patient Engagement
Modern healthcare facilities demand digital accessibility to guarantee equal access to telemedicine platforms, online pharmacy services, and health monitoring devices that can be worn or are handy. With the rising call for the implementation of robust digital healthcare solutions, people with disabilities encounter impediments in their endeavor of managing and getting accustomed to these modern technologies owing to insufficient accessibility features. The paper highlights the role of comprehen…

This https://arxiv.org/abs/2505.07212 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csSI_…

The Language of Influence: Sentiment, Emotion, and Hate Speech in State Sponsored Influence Operations
State-sponsored influence operations (SIOs) have become a pervasive and complex challenge in the digital age, particularly on social media platforms where information spreads rapidly and with minimal oversight. These operations are strategically employed by nation-state actors to manipulate public opinion, exacerbate social divisions, and project geopolitical narratives, often through the dissemination of misleading or inflammatory content. Despite increasing awareness of their existence, the s…

This https://arxiv.org/abs/2409.03219 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCY_…

Content Moderation by LLM: From Accuracy to Legitimacy
One trending application of LLM (large language model) is to use it for content moderation in online platforms. Most current studies on this application have focused on the metric of accuracy -- the extent to which LLMs make correct decisions about content. This article argues that accuracy is insufficient and misleading because it fails to grasp the distinction between easy cases and hard cases, as well as the inevitable trade-offs in achieving higher accuracy. Closer examination reveals that …

Advanced microwave photonic waveform editing: enabling the evolution of radar systems into joint radar and spectrum sensing systems
Chi Jiang, Taixia Shi, Dingding Liang, Lei Gao, Chulun Lin, Yang Chen
https://arxiv.org/abs/2506.02583

Advanced microwave photonic waveform editing: enabling the evolution of radar systems into joint radar and spectrum sensing systems
In response to the urgent demand for the development of future radar application platforms from single radar functionality towards integrated multi-functional systems, we show an advanced microwave photonic waveform editing method that enables the editing of arbitrary radar waveforms, equipping them with the capability to perform spectrum sensing. This, in turn, expands single-function radar systems into joint radar and spectrum sensing systems. We theoretically define and calculate the accumul…

How the delivery app Fantuan grew its US presence to 50 cities since 2019 by focusing on Asian cuisines, with an app design reminiscent of Chinese platforms (Alex Harring/CNBC)
https://www.cnbc.com/2025/05/31/under-the-

Under-the-radar delivery apps are gaining ground in the U.S. by courting Asian restaurants
Asian restaurants are utilizing delivery apps like Fantuan and HungryPanda instead of or in addition to bigger-name options.

Former MSNBC host Joy Reid plans to launch The Joy Reid Show, a new video podcast, on June 9, streaming on YouTube and other major podcast platforms (Alex Weprin/The Hollywood Reporter)
https://www.hollywoodreporter.com/business/…

Joy Reid Launching New Video Podcast in Post-Cable TV Push (Exclusive)
The former MSNBC host will launch 'The Joy Reid Show' next month, with plans to expand to five days per week later this year.

This https://arxiv.org/abs/2503.09492 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csIR_…

Learning Cascade Ranking as One Network
Cascade Ranking is a prevalent architecture in large-scale top-k selection systems like recommendation and advertising platforms. Traditional training methods focus on single-stage optimization, neglecting interactions between stages. Recent advances have introduced interaction-aware training paradigms, but still struggle to 1) align training objectives with the goal of the entire cascade ranking (i.e., end-to-end recall of ground-truth items) and 2) learn effective collaboration patterns for d…

Evaluating Query Efficiency and Accuracy of Transfer Learning-based Model Extraction Attack in Federated Learning
Sayyed Farid Ahamed, Sandip Roy, Soumya Banerjee, Marc Vucovich, Kevin Choi, Abdul Rahman, Alison Hu, Edward Bowen, Sachin Shetty
https://arxiv.org/abs/2505.23791

Evaluating Query Efficiency and Accuracy of Transfer Learning-based Model Extraction Attack in Federated Learning
Federated Learning (FL) is a collaborative learning framework designed to protect client data, yet it remains highly vulnerable to Intellectual Property (IP) threats. Model extraction (ME) attacks pose a significant risk to Machine Learning as a Service (MLaaS) platforms, enabling attackers to replicate confidential models by querying black-box (without internal insight) APIs. Despite FL's privacy-preserving goals, its distributed nature makes it particularly susceptible to such attacks. This p…

Visualizing Cloud-native Applications with KubeDiagrams
Philippe Merle, Fabio Petrillo
https://arxiv.org/abs/2505.22879 https://arxiv…

Visualizing Cloud-native Applications with KubeDiagrams
Modern distributed applications increasingly rely on cloud-native platforms to abstract the complexity of deployment and scalability. As the de facto orchestration standard, Kubernetes enables this abstraction, but its declarative configuration model makes the architectural understanding difficult. Developers, operators, and architects struggle to form accurate mental models from raw manifests, Helm charts, or cluster state descriptions. We introduce KubeDiagrams, an open-source tool that trans…

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…

Distributed Intelligence in the Computing Continuum with Active Inference
Victor Casamayor Pujol, Boris Sedlak, Tommaso Salvatori, Karl Friston, Schahram Dustdar
https://arxiv.org/abs/2505.24618

Distributed Intelligence in the Computing Continuum with Active Inference
The Computing Continuum (CC) is an emerging Internet-based computing paradigm that spans from local Internet of Things sensors and constrained edge devices to large-scale cloud data centers. Its goal is to orchestrate a vast array of diverse and distributed computing resources to support the next generation of Internet-based applications. However, the distributed, heterogeneous, and dynamic nature of CC platforms demands distributed intelligence for adaptive and resilient service management. Th…

PBS station WNET removed at least three educational TV episodes that discuss transgender identity and drag expression, following a DOGE subcommittee hearing (Nikita Mazurov/The Intercept)
https://theintercept.com/2025/05/29/drag-trans-pbs-wnet-censorship-d…

PBS Station Wipes Drag and Trans Content After DOGE Outcry
PBS producer WNET quietly erased episodes containing a drag queen and a trans character from its platforms.

DeepShop: A Benchmark for Deep Research Shopping Agents
Yougang Lyu, Xiaoyu Zhang, Lingyong Yan, Maarten de Rijke, Zhaochun Ren, Xiuying Chen
https://arxiv.org/abs/2506.02839

DeepShop: A Benchmark for Deep Research Shopping Agents
Web agents for online shopping have shown great promise in automating user interactions across e-commerce platforms. Benchmarks for assessing such agents do not reflect the complexity of real-world shopping scenarios, as they often consist of overly simple queries with deterministic paths, such as "Find iPhone 15." Real shopping scenarios are inherently more layered, involving multi-dimensional product attributes, search filters, and user-specific sorting preferences. To address this gap, we in…

The Impact of COVID-19 on Twitter Ego Networks: Structure, Sentiment, and Topics
Kamer Cekini, Elisabetta Biondi, Chiara Boldrini, Andrea Passarella, Marco Conti
https://arxiv.org/abs/2506.03788

The Impact of COVID-19 on Twitter Ego Networks: Structure, Sentiment, and Topics
Lockdown measures, implemented by governments during the initial phases of the COVID-19 pandemic to reduce physical contact and limit viral spread, imposed significant restrictions on in-person social interactions. Consequently, individuals turned to online social platforms to maintain connections. Ego networks, which model the organization of personal relationships according to human cognitive constraints on managing meaningful interactions, provide a framework for analyzing such dynamics. The…

This https://arxiv.org/abs/2410.23394 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCY_…

Auditing for Bias in Ad Delivery Using Inferred Demographic Attributes
Auditing social-media algorithms has become a focus of public-interest research and policymaking to ensure their fairness across demographic groups such as race, age, and gender in consequential domains such as the presentation of employment opportunities. However, such demographic attributes are often unavailable to auditors and platforms. When demographics data is unavailable, auditors commonly infer them from other available information. In this work, we study the effects of inference error …

EU Tech Commissioner Henna Virkkunen says that far more online content is being removed in the EU under the T&Cs of US platforms than as a result of the DSA (Anupriya Datta/Euractiv)
https://www.euractiv.com/section/tech/news

Bridging the Gap: Enhancing Digital Accessibility for Medicaid Populations in Telehealth Adoption
Vishnu Ramineni, Aditya Gupta, Balakrishna Pothineni, Isan Sahoo, Shivareddy Devarapalli, Balaji Shesharao Ingole
https://arxiv.org/abs/2505.24035

Bridging the Gap: Enhancing Digital Accessibility for Medicaid Populations in Telehealth Adoption
The swift evolution of telehealth has revolutionized how medical professionals deliver healthcare services and boost convenience and accessibility. Yet, the Medicaid population encounters several impediments in utilizing facilities especially owing to poor internet connectivity, less awareness about digital platforms, and a shortage of assistive technologies. The paper aims to explicate key factors behind digital accessibility for Medicaid populations and expounds robust solutions to eradicate …

Merge Hijacking: Backdoor Attacks to Model Merging of Large Language Models
Zenghui Yuan, Yangming Xu, Jiawen Shi, Pan Zhou, Lichao Sun
https://arxiv.org/abs/2505.23561

Merge Hijacking: Backdoor Attacks to Model Merging of Large Language Models
Model merging for Large Language Models (LLMs) directly fuses the parameters of different models finetuned on various tasks, creating a unified model for multi-domain tasks. However, due to potential vulnerabilities in models available on open-source platforms, model merging is susceptible to backdoor attacks. In this paper, we propose Merge Hijacking, the first backdoor attack targeting model merging in LLMs. The attacker constructs a malicious upload model and releases it. Once a victim user …

AliBoost: Ecological Boosting Framework in Alibaba Platform
Qijie Shen, Yuanchen Bei, Zihong Huang, Jialin Zhu, Keqin Xu, Boya Du, Jiawei Tang, Yuning Jiang, Feiran Huang, Xiao Huang, Hao Chen
https://arxiv.org/abs/2506.00954

AliBoost: Ecological Boosting Framework in Alibaba Platform
Maintaining a healthy ecosystem in billion-scale online platforms is challenging, as users naturally gravitate toward popular items, leaving cold and less-explored items behind. This ''rich-get-richer'' phenomenon hinders the growth of potentially valuable cold items and harms the platform's ecosystem. Existing cold-start models primarily focus on improving initial recommendation performance for cold items but fail to address users' natural preference for popular content. In this paper, we intr…

Building a Recommendation System Using Amazon Product Co-Purchasing Network
Minghao Liu, Catherine Zhao, Nathan Zhou
https://arxiv.org/abs/2506.02482 https…

Building a Recommendation System Using Amazon Product Co-Purchasing Network
This project develops an online, inductive recommendation system for newly listed products on e-commerce platforms, focusing on suggesting relevant new items to customers as they purchase other products. Using the Amazon Product Co-Purchasing Network Metadata dataset, we construct a co-purchasing graph where nodes represent products and edges capture co-purchasing relationships. To address the challenge of recommending new products with limited information, we apply a modified GraphSAGE method …