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Found 9 papers, 0 papers with code
From Online Behaviours to Images: A Novel Approach to Social Bot Detection
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.
Demystifying Misconceptions in Social Bots Research
The science of social bots seeks knowledge and solutions to one of the most debated forms of online misinformation.
Adversarial machine learning for protecting against online manipulation
Adversarial examples are inputs to a machine learning system that result in an incorrect output from that system.
A study on text-score disagreement in online reviews
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.
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.
A matter of words: NLP for quality evaluation of Wikipedia medical articles
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
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.
Hacking Smart Machines with Smarter Ones: How to Extract Meaningful Data from Machine Learning Classifiers
Machine Learning (ML) algorithms are used to train computers to perform a variety of complex tasks and improve with experience.
