Search Results for author: Angelo Spognardi

Found 9 papers, 0 papers with code

From Online Behaviours to Images: A Novel Approach to Social Bot Detection

no code implementations15 Apr 2023 Edoardo Di Paolo, Marinella Petrocchi, Angelo Spognardi

Online Social Networks have revolutionized how we consume and share information, but they have also led to a proliferation of content not always reliable and accurate.

Image Classification

Demystifying Misconceptions in Social Bots Research

no code implementations30 Mar 2023 Stefano Cresci, Roberto Di Pietro, Angelo Spognardi, Maurizio Tesconi, Marinella Petrocchi

The science of social bots seeks knowledge and solutions to one of the most debated forms of online misinformation.

Misconceptions Misinformation

Adversarial machine learning for protecting against online manipulation

no code implementations23 Nov 2021 Stefano Cresci, Marinella Petrocchi, Angelo Spognardi, Stefano Tognazzi

Adversarial examples are inputs to a machine learning system that result in an incorrect output from that system.

BIG-bench Machine Learning

A study on text-score disagreement in online reviews

no code implementations21 Jul 2017 Michela Fazzolari, Vittoria Cozza, Marinella Petrocchi, Angelo Spognardi

In this paper, we focus on online reviews and employ artificial intelligence tools, taken from the cognitive computing field, to help understanding the relationships between the textual part of the review and the assigned numerical score.

Sentiment Analysis

Social Fingerprinting: detection of spambot groups through DNA-inspired behavioral modeling

no code implementations13 Mar 2017 Stefano Cresci, Roberto Di Pietro, Marinella Petrocchi, Angelo Spognardi, Maurizio Tesconi

We build upon digital DNA and the similarity between groups of users to characterize both genuine accounts and spambots.

DNA analysis

A matter of words: NLP for quality evaluation of Wikipedia medical articles

no code implementations7 Mar 2016 Vittoria Cozza, Marinella Petrocchi, Angelo Spognardi

We move from the intuition that the quality of content of medical Web documents is affected by features related with the specific domain.


DNA-inspired online behavioral modeling and its application to spambot detection

no code implementations30 Jan 2016 Stefano Cresci, Roberto Di Pietro, Marinella Petrocchi, Angelo Spognardi, Maurizio Tesconi

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.

DNA analysis Test

Fame for sale: efficient detection of fake Twitter followers

no code implementations14 Sep 2015 Stefano Cresci, Roberto Di Pietro, Marinella Petrocchi, Angelo Spognardi, Maurizio Tesconi

$\textit{Fake followers}$ are those Twitter accounts specifically created to inflate the number of followers of a target account.

Spam detection

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