Concept

Marketing par médias sociaux

Publications associées (92)

Peer Assessment Based on Ratings in a Social Media Course

Denis Gillet, Adrian Christian Holzer, Andrii Vozniuk

Peer assessment is seen as a powerful supporting tool to achieve scalability in the evaluation of complex assignments in large courses, possibly virtual ones, as in the context of massive open online courses (MOOCs). However, the adoption of peer assessmen ...

2014

SpeakUp in the Classroom: Anonymous Temporary Social Media for Better Interactions

Denis Gillet, Adrian Christian Holzer, Andrii Vozniuk, Sten Govaerts

Student participation in class is an important aspect of the learning experience, and can provide valuable feedback for teachers. However, getting students to interact in large classrooms is challenging. This paper presents SpeakUp, a mobile temporary soci ...

2014

Discovering health-related knowledge in social media using ensembles of heterogeneous features

Marcel Salathé

Social media is emerging as a powerful source of communication, information dissemination and mining. Being colloquial and ubiquitous in nature makes it easier for users to express their opinions and preferences in a seamless, dynamic manner. Epidemic surv ...

ACM2013

Mining Conversational Social Video

Joan Isaac Biel Tres

The ubiquity of social media in our daily life, the intense user participation, and the explo- sion of multimedia content have generated an extraordinary interest from computer and social scientists to investigate the traces left by users to understand hum ...

EPFL2013

Mining Conversational Social Video

Joan Isaac Biel Tres

The ubiquity of social media in our daily life, the intense user participation, and the explosion of multimedia content have generated an extraordinary interest from computer and social scientists to investigate the traces left by users to understand human ...

EPFL2013

The YouTube Lens: Crowdsourced Personality Impressions and Audiovisual Analysis of Vlogs

Daniel Gatica-Perez, Joan Isaac Biel Tres

Despite an increasing interest in understanding human perception in social media through the automatic analysis of users' personality, existing attempts have explored user profiles and text blog data only. We approach the study of personality impressions i ...

Ieee-Inst Electrical Electronics Engineers Inc2013

SaferCity: a System for Detecting Incidents from Social Media

Xiaowen Dong

This paper presents a system to identify and characterise public safety related incidents from social media, and enrich the situational awareness that law enforcement entities have on potentially-unreported activities happening in a city. The system is bas ...

2013

User Behavior Under the Influence of Groups in Social Media

Lionel Jérémie Martin

Social Media are at the heart of our communications and are among the most visited places on the web. Their user-generated content allows the gathering of immensely many information that cannot be processed entirely by the users. Thus it is of interest to ...

2013

Validating models for disease detection using twitter

Marcel Salathé

Data mining social media has become a valuable resource for infectious disease surveillance. However, there are considerable risks associated with incorrectly predicting an epidemic. The large amount of social media data combined with the small amount of g ...

International World Wide Web Conferences Steering Committee2013

Are Google’s linguistic prosthesis biased towards commercially more interesting expressions? A preliminary study on the linguistic effects of autocompletion algorithms.

Frédéric Kaplan, Anna Jobin

Google's linguistic prosthesis have become common mediators between our intended queries and their actual expressions. By correcting a mistyped word or extending a small string of letters into a statistically plausible continuation, Google offers a valuabl ...

Center for Digital Research in the Humanities2013

Graph Chatbot

Chattez avec Graph Search

Posez n’importe quelle question sur les cours, conférences, exercices, recherches, actualités, etc. de l’EPFL ou essayez les exemples de questions ci-dessous.

AVERTISSEMENT : Le chatbot Graph n'est pas programmé pour fournir des réponses explicites ou catégoriques à vos questions. Il transforme plutôt vos questions en demandes API qui sont distribuées aux différents services informatiques officiellement administrés par l'EPFL. Son but est uniquement de collecter et de recommander des références pertinentes à des contenus que vous pouvez explorer pour vous aider à répondre à vos questions.

Connectez-vous pour utiliser Chat avec Graph Search