Publications related to Troll (slang)

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

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

Correlating Twitter Language with Community-Level Health Outcomes

Martin Jaggi, Arno Schneuwly

We study how language on social media is linked to diseases such as atherosclerotic heart disease (AHD), diabetes and various types of cancer. Our proposed model leverages state-of-the-art sentence embeddings, followed by a regression model and clustering, ...

ASSOC COMPUTATIONAL LINGUISTICS-ACL2019

How Others Compromise Your Location Privacy: The Case of Shared Public IPs at Hotspots

Jean-Pierre Hubaux, Kévin Clément Huguenin, Nevena Vratonjic, Vincent Bindschaedler

Location privacy has been extensively studied over the last few years, especially in the context of location-based services where users purposely disclose their location to benefit from convenient context-aware services. To date, however, little attention ...

2013

Proactively Accountable Anonymous Messaging in Verdict

Bryan Alexander Ford, Henry Nathaniel Corrigan-Gibbs

Among anonymity systems, DC-nets have long held attraction for their resistance to traffic analysis attacks, but practical implementations remain vulnerable to internal disruption or “jamming” attacks, which require time-consuming detection procedures to r ...

2013

Decentralized Polling with Respectable Participants

Rachid Guerraoui, Anne-Marie Kermarrec, Kévin Clément Huguenin, Maxime Monod

We consider the polling problem in a social network where participants care about their reputation: they do not want their vote to be disclosed nor their misbehaving, if any, to be publicly exposed. Assuming this reputation concern, we show that a simple s ...

2009

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