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相关论文: Customized video filtering on YouTube

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The role that YouTube and its behind-the-scenes recommendation algorithm plays in encouraging online radicalization has been suggested by both journalists and academics alike. This study directly quantifies these claims by examining the…

社会与信息网络 · 计算机科学 2019-12-25 Mark Ledwich , Anna Zaitsev

The prevalence of coordinated information campaigns in social media platforms has significant negative consequences across various domains, including social, political, and economic processes. This paper proposes a multifaceted framework…

社会与信息网络 · 计算机科学 2023-09-25 Kin Wai Ng , Adriana Iamnitchi

Ad targeting is getting more powerful with introduction of new tools, such as Custom Audiences, behavioral targeting, and Audience Insights. Although this is beneficial for businesses as it enables people to receive more relevant…

计算机与社会 · 计算机科学 2018-03-28 Irfan Faizullabhoy , Aleksandra Korolova

Access to online contents represents a large share of the Internet traffic. Most such contents are multimedia items which are user-generated, i.e., posted online by the contents' owners. In this paper we focus on how those who provide…

社会与信息网络 · 计算机科学 2013-12-04 Francesco De Pellegrini , Alexandre Reiffers , Eitan Altman

YouTube is central to contemporary mass media. However, the official YouTube API does not provide access to the full set of creators or creator metadata on the platform. This lack of basic visibility into the YouTube ecosystem hinders…

社会与信息网络 · 计算机科学 2026-05-11 Chloe Eggleston , Abram Handler , Maria Leonor Pacheco

This work-in-progress paper presents a novel approach to detecting sponsored advertisement segments in YouTube videos and comparing the advertisement with the main content. Our methodology involves the collection of 421 auto-generated and…

机器学习 · 计算机科学 2025-09-25 Brice Valentin Kok-Shun , Johnny Chan

User beliefs about algorithmic systems are constantly co-produced through user interaction and the complex socio-technical systems that generate recommendations. Identifying these beliefs is crucial because they influence how users interact…

人机交互 · 计算机科学 2020-08-10 Oscar Alvarado , Hendrik Heuer , Vero Vanden Abeele , Andreas Breiter , Katrien Verbert

Though detection systems have been developed to identify obscene content such as pornography and violence, artificial intelligence is simply not good enough to fully automate this task yet. Due to the need for manual verification, social…

人机交互 · 计算机科学 2020-01-07 Brandon Dang , Martin J. Riedl , Matthew Lease

Hate content in social media is ever-increasing. While Facebook, Twitter, Google have attempted to take several steps to tackle the hateful content, they have mostly been unsuccessful. Counterspeech is seen as an effective way of tackling…

Toxicity on the Internet, such as hate speech, offenses towards particular users or groups of people, or the use of obscene words, is an acknowledged problem. However, there also exist other types of inappropriate messages which are usually…

计算与语言 · 计算机科学 2022-03-07 Nikolay Babakov , Varvara Logacheva , Alexander Panchenko

YouTube has become the second most popular website according to Alexa, and it represents an enticing platform for scammers to attract victims. Because of the computational difficulty of classifying multimedia, identifying scams on YouTube…

密码学与安全 · 计算机科学 2021-04-15 Elijah Bouma-Sims , Brad Reaves

Online platforms have enacted various policies to maintain a safe and trustworthy advertising environment. However, the extent to which these policies are adhered to and enforced remains a subject of interest and concern. In this work, we…

计算机与社会 · 计算机科学 2025-02-21 Yash Vekaria , Zubair Shafiq , Savvas Zannettou

YouTube presents an unprecedented opportunity to explore how machine learning methods can improve healthcare information dissemination. We propose an interdisciplinary lens that synthesizes machine learning methods with healthcare…

计算机视觉与模式识别 · 计算机科学 2018-07-10 Xiao Liu , Bin Zhang , Anjana Susarla , Rema Padman

Research shows that comment spamming (comments which are unsolicited, unrelated, abusive, hateful, commercial advertisements etc) in online discussion forums has become a common phenomenon in Web 2.0 applications and there is a strong need…

信息检索 · 计算机科学 2011-03-28 Ashish Sureka

With information consumption via online video streaming becoming increasingly popular, misinformation video poses a new threat to the health of the online information ecosystem. Though previous studies have made much progress in detecting…

计算机视觉与模式识别 · 计算机科学 2023-08-08 Yuyan Bu , Qiang Sheng , Juan Cao , Peng Qi , Danding Wang , Jintao Li

Deaf and Hard-of-Hearing (DHH) audiences have long complained about caption qualities for many online videos created by individual content creators on video-sharing platforms (e.g., YouTube). However, there lack explorations of practices,…

人机交互 · 计算机科学 2022-12-13 Franklin Mingzhe Li , Cheng Lu , Zhicong Lu , Patrick Carrington , Khai N. Truong

Video-sharing social media like YouTube provide access to diverse cultural products from all over the world, making it possible to test theories that the Web facilitates global cultural convergence. Drawing on a daily listing of YouTube's…

社会与信息网络 · 计算机科学 2017-05-26 Minsu Park , Jaram Park , Young Min Baek , Michael Macy

YouTube is the second most visited website in the world and receives comments from millions of commenters daily. The comments section acts as a space for discussions among commenters, but it could also be a breeding ground for problematic…

社会与信息网络 · 计算机科学 2023-04-18 Shadi Shajari , Nitin Agarwal , Mustafa Alassad

In e-commerce, product content, especially product images have a significant influence on a customer's journey from product discovery to evaluation and finally, purchase decision. Since many e-commerce retailers sell items from other…

计算机视觉与模式识别 · 计算机科学 2019-08-05 Shreyansh Gandhi , Samrat Kokkula , Abon Chaudhuri , Alessandro Magnani , Theban Stanley , Behzad Ahmadi , Venkatesh Kandaswamy , Omer Ovenc , Shie Mannor

Unscrupulous content creators on YouTube employ deceptive techniques such as spam and clickbait to reach a broad audience and trick users into clicking on their videos to increase their advertisement revenue. Clickbait detection on YouTube…

社会与信息网络 · 计算机科学 2021-12-17 Peya Mowar , Mini Jain , Ruchika Goel , Dinesh Kumar Vishwakarma