Tootfinder

Bob Iger says upcoming changes to Disney include "game-like features" and "mostly short-form" user-generated content made with generative AI (Tony Maglio/The Hollywood Reporter)
https://www.hollywoodreporter.com/business

Disney+ to Allow User-Generated Content Via AI
Disney CEO Bob Iger hinted at "productive conversations" with unnamed AI companies that would protect IP but add new features to the studio's flagship streaming service.

An interview with YouTube CEO Neal Mohan on YouTube as the future of TV, paying out $100B to creators, partnering with the NFL, scripted content, and more (Alex Weprin/The Hollywood Reporter)
https://www.hollywoodreporter.com/business

YouTube Just Ate TV. It’s Only Getting Started
In two decades, the app has grown from a user-generated circus into the most powerful platform on earth. CEO Neal Mohan on his $100 billion vision for YouTube’s future and the disruption it’s left in its wake.

A High-Level Feature Model to Predict the Encoding Energy of a Hardware Video Encoder
Diwakara Reddy, Christian Herglotz, Andr\'e Kaup
https://arxiv.org/abs/2510.12754 https…

A High-Level Feature Model to Predict the Encoding Energy of a Hardware Video Encoder
In today's society, live video streaming and user generated content streamed from battery powered devices are ubiquitous. Live streaming requires real-time video encoding, and hardware video encoders are well suited for such an encoding task. In this paper, we introduce a high-level feature model using Gaussian process regression that can predict the encoding energy of a hardware video encoder. In an evaluation setup restricted to only P-frames and a single keyframe, the model can predict the e…

An interview with YouTube CEO Neal Mohan on YouTube as the future of TV, paying out $100B to creators, partnering with the NFL, scripted content, and more (Alex Weprin/The Hollywood Reporter)
https://www.hollywoodreporter.com/business

YouTube Just Ate TV. It’s Only Getting Started
In two decades, the app has grown from a user-generated circus into the most powerful platform on earth. CEO Neal Mohan on his $100 billion vision for YouTube’s future and the disruption it’s left in its wake.

Exposing Citation Vulnerabilities in Generative Engines
Riku Mochizuki, Shusuke Komatsu, Souta Noguchi, Kazuto Ataka
https://arxiv.org/abs/2510.06823 https://

Exposing Citation Vulnerabilities in Generative Engines
We analyze answers generated by generative engines (GEs) from the perspectives of citation publishers and the content-injection barrier, defined as the difficulty for attackers to manipulate answers to user prompts by placing malicious content on the web. GEs integrate two functions: web search and answer generation that cites web pages using large language models. Because anyone can publish information on the web, GEs are vulnerable to poisoning attacks. Existing studies of citation evaluation…

CrisisNews: A Dataset Mapping Two Decades of News Articles on Online Problematic Behavior at Scale
Jeanne Choi, DongJae Kang, Yubin Choi, Juhoon Lee, Joseph Seering
https://arxiv.org/abs/2510.12243

CrisisNews: A Dataset Mapping Two Decades of News Articles on Online Problematic Behavior at Scale
As social media adoption grows globally, online problematic behaviors increasingly escalate into large-scale crises, requiring an evolving set of mitigation strategies. While HCI research often analyzes problematic behaviors with pieces of user-generated content as the unit of analysis, less attention has been given to event-focused perspectives that track how discrete events evolve. In this paper, we examine 'social media crises': discrete patterns of problematic behaviors originating and evol…

GateMABSA: Aspect-Image Gated Fusion for Multimodal Aspect-based Sentiment Analysis
Adamu Lawan, Haruna Yunusa
https://arxiv.org/abs/2509.25037 https://arx…

GateMABSA: Aspect-Image Gated Fusion for Multimodal Aspect-based Sentiment Analysis
Aspect-based Sentiment Analysis (ABSA) has recently advanced into the multimodal domain, where user-generated content often combines text and images. However, existing multimodal ABSA (MABSA) models struggle to filter noisy visual signals, and effectively align aspects with opinion-bearing content across modalities. To address these challenges, we propose GateMABSA, a novel gated multimodal architecture that integrates syntactic, semantic, and fusion-aware mLSTM. Specifically, GateMABSA introdu…

Light-SQ: Structure-aware Shape Abstraction with Superquadrics for Generated Meshes
Yuhan Wang, Weikai Chen, Zeyu Hu, Runze Zhang, Yingda Yin, Ruoyu Wu, Keyang Luo, Shengju Qian, Yiyan Ma, Hongyi Li, Yuan Gao, Yuhuan Zhou, Hao Luo, Wan Wang, Xiaobin Shen, Zhaowei Li, Kuixin Zhu, Chuanlang Hong, Yueyue Wang, Lijie Feng, Xin Wang, Chen Change Loy
https://

Light-SQ: Structure-aware Shape Abstraction with Superquadrics for Generated Meshes
In user-generated-content (UGC) applications, non-expert users often rely on image-to-3D generative models to create 3D assets. In this context, primitive-based shape abstraction offers a promising solution for UGC scenarios by compressing high-resolution meshes into compact, editable representations. Towards this end, effective shape abstraction must therefore be structure-aware, characterized by low overlap between primitives, part-aware alignment, and primitive compactness. We present Light-…

Threats to the sustainability of Community Notes on X
Zahra Arjmandi-Lari, Alexios Mantzarlis, Tom Stafford
https://arxiv.org/abs/2510.00650 https://arxiv.…

Threats to the sustainability of Community Notes on X
Community Notes are emerging as an important option for content moderation. The Community Notes system pioneered by Twitter, now known as X, uses a bridging algorithm to identify user-generated context with upvotes across political divides, supposedly spinning consensual gold from partisan straw. It is important to understand the nature of the community behind Community Notes, especially as the feature has now been imitated by several billion-user platforms. We look for signs of stability and d…