Publications associées à VlogSense: Conversational Behavior and Social Attention in YouTube

Content Moderation in Online Platforms

A critical role of online platforms like Facebook, Wikipedia, YouTube, Amazon, Doordash, and Tinder is to moderate content. Interventions like banning users or deleting comments are carried out thousands of times daily and can potentially improve our onlin ...

EPFL2024

Understanding and Enhancing Digital Wellbeing Dimensions: Empirical Studies on Smartphone Usage Patterns and Recommendations of Micro-Informative Content

Rania Islambouli

Digital technology has become an integral part of our lives, offering various benefits from communication and entertainment to education and productivity. However, its pervasive use has also raised concerns about its potential negative impact on users' wel ...

EPFL2024

Referencing in YouTube Knowledge Communication Videos

Daniel Gatica-Perez, Haeeun Kim

In recent years, there has been widespread concern about misinformation and hateful content on social media that are damaging societies. Being one of the most influential social media that practically serves as a newsearch engine, YouTube has accepted crit ...

Assoc Computing Machinery2023

Dynamic Personalized Ranking

Jérémie Rappaz

Personalized ranking methods are at the core of many systems that learn to produce recommendations from user feedbacks. Their primary objective is to identify relevant items from very large vocabularies and to assist users in discovering new content. These ...

EPFL2022

Auditing Radicalization Pathways on YouTube

Robert West, Manoel Horta Ribeiro

Non-profits, as well as the media, have hypothesized the existence of a radicalization pipeline on YouTube, claiming that users systematically progress towards more extreme content on the platform. Yet, there is to date no substantial quantitative evidence ...

ASSOC COMPUTING MACHINERY2020

Dynamic media content categorisation method

Sabine Süsstrunk, Gabriel Albert Autes, Mahmut Sami Arpa

The present invention concerns a method of classifying a media item into a user profile suitability class in a classification system comprising a set of pre-trained artificial neural networks. The method comprising: receiving (101) a media file; extracting ...

2020

From Anomaly Detection to Rumour Detection using Data Streams of Social Platforms

Quoc Viet Hung Nguyen, Thành Tâm Nguyên

Social platforms became a major source of rumours. While rumours can have severe real-world implications, their detection is notoriously hard: Content on social platforms is short and lacks semantics; it spreads quickly through a dynamically evolving netwo ...

ASSOC COMPUTING MACHINERY2019

Graph-based Rumour Detection for Social Media

Thành Tâm Nguyên

Social platforms became a major source of rumours. While rumours can have severe real-world implications, their detection is notoriously hard: Content on social platforms is short and lacks semantics; it spreads quickly through a dynamically evolving netwo ...

2019

Inpainting in Omnidirectional Images for Privacy Protection

Touradj Ebrahimi, Pinar Akyazi, Evgeniy Upenik

Privacy protection is drawing more attention with the advances in image processing, visual and social media. Photo sharing is a popular activity, which also brings the concern of regulating permissions associated with shared content. This paper presents a ...

2019

Debunking Misinformation on the Web: Detection, Validation, and Visualisation

Thành Tâm Nguyên

Our modern society is struggling with an unprecedented amount of online misinformation, which does harm to democracy, economics, and cybersecurity. Journalism and politics have been impacted by misinformation on a global scale, with weakened public trust i ...

EPFL2019

Vlogging Over Time: Longitudinal Impressions and Behavior in YouTube

Daniel Gatica-Perez, Dinesh Babu Jayagopi, Dairazalia Sanchez Cortes

YouTube vlogging, as a popular genre of ubiquitous social video, engages people in entertainment, civic, and social activities. Although several aspects of vlogging have been studied in media studies and multimedia analysis, the longitudinal angle of vlogg ...

ASSOC COMPUTING MACHINERY2018

Automatic Online Fake News Detection Combining Content and Social Signals

Stefano Moret, Gabriele Ballarin

The proliferation and rapid diffusion of fake news on the Internet highlight the need of automatic hoax detection systems. In the context of social networks, machine learning (ML) methods can be used for this purpose. Fake news detection strategies are tra ...

IEEE2018

Predicting the Success of Online Petitions Leveraging Multidimensional Time-Series

Philippe Cudré-Mauroux, Karl Aberer, Julia Proskurnia, Carlos Castillo

Applying classical time-series analysis techniques to online content is challenging, as web data tends to have data quality issues and is often incomplete, noisy, or poorly aligned. In this paper, we tackle the problem of predicting the evolution of a time ...

Context-Dependent Privacy-Aware Photo Sharing based on Machine Learning

Touradj Ebrahimi, Lin Yuan, Joël Régis Theytaz

Photo privacy has raised a growing concern with the advancements of image analytics, face recognition, and deep learning techniques widely applied on social media. If properly deployed, these powerful techniques can in turn assist people in enhancing their ...

2017

Rule of Thumb – Effect of Social Button Icons on Interaction

Denis Gillet, Samuel Bendahan, Andrii Vozniuk, Adrian Christian Holzer

Social buttons are now widespread in social media apps. They are used to assign weight to user content and trigger user engagement. They come in different shapes (e.g., thumb in Facebook, arrows in Reddit or StackOverflow, plus one in Google+) but very lit ...

2016

Examining the effects of social media in co-located classrooms: A case study based on SpeakUp

Denis Gillet, Adrian Christian Holzer, Luis Pablo Prieto Santos, Maria Jesus Rodriguez Triana

The broad availability of mobile computing devices has prompted the apparition of social media applications that support teaching and learning. However, so far, there is conflicting evidence as to whether the benefits such applications provide in terms of ...

Springer International Publishing2016

Displaying Teacher's Gaze in a MOOC: Effects on Students' Video Navigation Patterns

Pierre Dillenbourg, Patrick Jermann, Kshitij Sharma

We present an eye-tracking study where we augment a Massive Open Online Course (MOOC) video with the gaze information of the teacher. We tracked the gaze of a teacher while he was recording the content for a MOOC lecture. Our working hypothesis is that dis ...

2015

Social-Aware Replication in Geo-Diverse Online Systems

Kévin Clément Huguenin

Distributing long-tail content is a difficult task due to the low amortization of bandwidth transfer costs as such content has limited number of views. Two recent trends are making this problem harder. First, the increasing popularity of user-generated con ...

Institute of Electrical and Electronics Engineers2015

A Scalable Approach to Harvest Modern Weblogs

Olivier Eric Paul Blanvillain

Blogs are one of the most prominent means of communication on the web. Their content, interconnections and influence constitute a unique socio-technical artefact of our times which needs to be preserved. The BlogForever project has established best practic ...

World Scientific Publ Co Pte Ltd2015

Computational Analysis Of Behavior In Employment Interviews And Video Resumes

Laurent Son Nguyen

Used in nearly every organization, employment interviews are a ubiquitous process where job applicants are evaluated by an employer for an open position. Consisting of an interpersonal interaction between at least one interviewer and a job applicant, they ...

EPFL2015