Concept

E-réputation

Publications associées (56)

Construct Validity of Unobtrusive Measures of Organizational Ethical Climates

Prior studies have examined the relationship between organizational ethical climates and an array of work-related attitudes and behaviors. However, current research is hampered by the lack of knowledge on how ethical climates relate to organizational outco ...

2020

Tackling Peer-to-Peer Discrimination in the Sharing Economy

Boi Faltings, Naman Goel, Maxime Rutagarama

Sharing economy platforms such as Airbnb and Uber face a major challenge in the form of peer-to-peer discrimination based on sensitive personal attributes such as race and gender. As shown by a recent study under controlled settings, reputation systems can ...

ACM2020

Disinformation from the Inside: Combining Machine Learning and Journalism to Investigate Sockpuppet Campaigns

Rebekah Jean Overdorf

This paper brings together machine learning and investigative journalism to examine sockpuppets accounts, a historical breed of fake accounts that are non-automated and human-controlled. Due to their flexible and human-centered nature, sockpuppets pose a c ...

ASSOC COMPUTING MACHINERY2020

Can Who-Edits-What Predict Edit Survival?

Matthias Grossglauser, Lucas Maystre, Victor Kristof

As the number of contributors to online peer-production systems grows, it becomes increasingly important to predict whether the edits that users make will eventually be beneficial to the project. Existing solutions either rely on a user reputation system o ...

ACM2018

AnonRep: Towards Tracking-Resistant Anonymous Reputation

Bryan Alexander Ford, Ennan Zhai

Reputation systems help users evaluate information quality and incentivize civilized behavior, often by tallying feedback from other users such as "likes" or votes and linking these scores to a user’s long-term identity. This identity linkage enables user ...

USENIX2016

THE SIGNALING VALUE OF REPUTATION AND STATUS: EVIDENCE FROM VC-BACKED ENTREPRENEURIAL VENTURES IN THE CLEANTECH SECTOR

Anu Wadhwa, Giovanni Liotta

We contribute to the ongoing debate on the differential effects of two important intangible assets on organizational outcomes: reputation and status. We explore whether they exert distinct signaling effects on external parties whom evaluate the quality of ...

2016

Elicitation and Aggregation of Crowd Information

Goran Radanovic

This thesis addresses challenges in elicitation and aggregation of crowd information for settings where an information collector, called center, has a limited knowledge about information providers, called agents. Each agent is assumed to have noisy private ...

EPFL2016

Limiting the Influence of Low Quality Information in Community Sensing

Boi Faltings, Goran Radanovic

We consider a community of private sensors that collect measurements of a physical phenomenon, such as air pollution, and report it to a center. The center should be able to prevent low quality reports from degrading the quality of the aggregated informati ...

2016

Reputation And Decision Making Under Ambiguity: A Study Of Us Venture Capital Firms' Investments In The Emerging Clean Energy Sector

Anu Wadhwa

This study examines the role of reputation on decision making under ambiguity. Drawing on social cognition and behavioral theories, we propose that a firm's reputation exerts dual pressures on its decision making under ambiguity. On the one hand, a firm's ...

Acad Management2014

PerContRep: a practical reputation system for pervasive content services

Yu Chen, Yue Shen

Social network has extended its popularity from the Internet to mobile domain. Personal mobile devices can be self-organized and communicate with each other for instant social activities at any time and in any places to achieve pervasive social networking ...

Springer2014

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