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Detecting Content That Triggers Polarization in Social Networks
We provide a method that finds echo chambers in online social networks. The method considers controversial contents and finds users of the network who discuss these contents... -
Network generator with fractal topologies - WP8
The micro-project has developed a python module for the generation of networks with fractal topologies, in particular Sierpinski graphs for the task involved in T8.4 Complex... -
Conversational search dataset with labels
CAsT 2019 data is split into two files one for training and the other one for testing. - Training set: CAsT 2019 conversations from training set and from test set without... -
Download mobility data with scikit-mobility
The data module of scikit-mobility provides users with an easy way to: 1) Download ready-to-use mobility data (e.g., trajectories, flows, spatial tessellations, and auxiliary... -
Full Network Embedding
Implements a method of transfer learning for feature extraction including both convolutional and fully connected layers of a neural network. -
Twitter Monitor Library for Twitter API v2
A library to ease the creation and management of social media listening campaigns using the Twitter API v2. -
Retweet cascade estimation and analysis
A collection of scripts for the estimation and analysis of a "retweet cascade", i.e., the tree structure describing how the original tweet was spread by retweeters. -
MAMe dataset
The MAMe dataset ia an image classification dataset with remarkable high resolution and variable shape properties. The goal of MAMe is to provide a tool for studying the... -
A dataset of gamers on Twitter
This gaming-related dataset consists of 8932 users (labeled as gamers) engaging in game-related conversations. We have collected (June 2018) their timeline (the most recent 3200... -
Learning to quantify: LeQua 2022 datasets
The aim of LeQua 2022 (the 1st edition of the CLEF “Learning to Quantify” lab) is to allow the comparative evaluation of methods for “learning to quantify” in textual... -
Product Reviews for Ordinal Quantification
This data set comprises a labeled training set, validation samples, and testing samples for ordinal quantification. It appears in our research paper "Ordinal Quantification... -
Cherenkov Telescope Data for Ordinal Quantification
This labeled data set is targeted at ordinal quantification. It appears in our research paper "Ordinal Quantification Through Regularization", which we have published at... -
VaxxHesitancy: A Dataset for Studying Hesitancy Towards COVID-19 Vaccination ...
We create a publicly available dataset of over 3,100 COVID-19 vaccine-related tweets labeled as one of four stance categories: pro-vaxx, anti-vaxx, vaxx-hesitant, or... -
Ukraine-related Disinformation Dataset
Ukraine-related disinformation dataset from "Comparative Analysis of Engagement, Themes, and Causality of Ukraine-Related Debunks and Disinformation" (accepted at SocInfo... -
Ego Networks of Words in Twitter
This set of dataframes were used in our last paper : Ollivier K, Boldrini C, Passarella A, Conti M (2022) Structural invariants and semantic fingerprints in the “ego network”... -
Cross-Lingual Dataset of Crisis-Related Social Media
If you use this dataset, please cite the following paper: Fedor Vitiugin, Carlos Castillo: Cross-Lingual Query-Based Summarization of Crisis-Related Social Media: An Abstractive... -
Dataset for Evaluating Abstractive Summaries of Crisis-Related Social Media
The dataset created for evaluation of summaries generated from social media posted during five natural disasters. The dataset contains: ground truth reports created by human...
