Search Results for author:
Found 16 papers, 2 papers with code
The Anatomy of Conspirators: Unveiling Traits using a Comprehensive Twitter Dataset
Our approach centers on data collection that is independent of specific conspiracy theories and information operations.
The Emotions of the Crowd: Learning Image Sentiment from Tweets via Cross-modal Distillation
Trends and opinion mining in social media increasingly focus on novel interactions involving visual media, like images and short videos, in addition to text.
Modularity-based approach for tracking communities in dynamic social networks
Despite a growing interest in tracking the evolution of groups of users in real-world social networks, the predominant focus of community detection efforts has been on communities within static networks.
Temporal Dynamics of Coordinated Online Behavior: Stability, Archetypes, and Influence
Large-scale online campaigns, malicious or otherwise, require a significant degree of coordination among participants, which sparked interest in the study of coordinated online behavior.
MulBot: Unsupervised Bot Detection Based on Multivariate Time Series
Not only does MulBot achieve excellent results in the binary classification task, but we also demonstrate its strengths in a novel and practically-relevant task: detecting and separating different botnets.
Tweets2Stance: Users stance detection exploiting Zero-Shot Learning Algorithms on Tweets
Existing approaches, mainly targeting Twitter users, rely on content-based analysis or are based on a mixture of content, network and communication analysis.
TweepFake: about Detecting Deepfake Tweets
To prevent this, it is crucial to develop deepfake social media messages detection systems.
Towards better social crisis data with HERMES: Hybrid sensing for EmeRgency ManagEment System
People involved in mass emergencies increasingly publish information-rich contents in online social networks (OSNs), thus acting as a distributed and resilient network of human sensors.
The Limited Reach of Fake News on Twitter during 2019 European Elections
The advent of social media changed the way we consume content favoring a disintermediated access and production.
Social and Information Networks Computers and Society Physics and Society
RTbust: Exploiting Temporal Patterns for Botnet Detection on Twitter
We design a novel visualization that we leverage to highlight benign and malicious patterns of retweeting activity.
Who framed Roger Reindeer? De-censorship of Facebook posts by snippet classification
However, being the collaborative web characterised by a redundancy of information, it is not unusual that the same fact is reported by multiple sources, which may not apply the same restriction policies in terms of censorship.
Social Fingerprinting: detection of spambot groups through DNA-inspired behavioral modeling
We build upon digital DNA and the similarity between groups of users to characterize both genuine accounts and spambots.
Semi-supervised knowledge extraction for detection of drugs and their effects
Based on the very small set of initial seeds, the work highlights how a contrastive approach and context deduction are effective in detecting substances and effects from the corpora.
DNA-inspired online behavioral modeling and its application to spambot detection
We propose a strikingly novel, simple, and effective approach to model online user behavior: we extract and analyze digital DNA sequences from user online actions and we use Twitter as a benchmark to test our proposal.
Fame for sale: efficient detection of fake Twitter followers
$\textit{Fake followers}$ are those Twitter accounts specifically created to inflate the number of followers of a target account.
Accommodations in Tuscany as Linked Data
The OpeNER Linked Dataset (OLD) contains 19. 140 entries about accommodations in Tuscany (Italy).
