Emilio Ferrara

research

∙ 07/11/2023

The Butterfly Effect in AI Fairness and Bias

The Butterfly Effect, a concept originating from chaos theory, underscor...

0 Emilio Ferrara, et al. ∙

research

∙ 05/24/2023

Identifying Informational Sources in News Articles

News articles are driven by the informational sources journalists use in...

0 Alexander Spangher, et al. ∙

research

∙ 04/16/2023

Fairness And Bias in Artificial Intelligence: A Brief Survey of Sources, Impacts, And Mitigation Strategies

The significant advancements in applying Artificial Intelligence (AI) to...

0 Emilio Ferrara, et al. ∙

research

∙ 04/07/2023

Should ChatGPT be Biased? Challenges and Risks of Bias in Large Language Models

As the capabilities of generative language models continue to advance, t...

5 Emilio Ferrara, et al. ∙

research

∙ 04/06/2023

Leveraging Social Interactions to Detect Misinformation on Social Media

Detecting misinformation threads is crucial to guarantee a healthy envir...

0 Tommaso Fornaciari, et al. ∙

research

∙ 10/17/2022

How "troll" are you? Measuring and detecting troll behavior in online social networks

The detection of state-sponsored trolls acting in misinformation operati...

5 Fatima Ezzeddine, et al. ∙

research

∙ 09/15/2022

How Does Twitter Account Moderation Work? Dynamics of Account Creation and Suspension During Major Geopolitical Events

Social media moderation policies are often at the center of public debat...

0 Francesco Pierri, et al. ∙

research

∙ 07/26/2022

GCN-WP – Semi-Supervised Graph Convolutional Networks for Win Prediction in Esports

Win prediction is crucial to understanding skill modeling, teamwork and ...

0 Alexander J. Bisberg, et al. ∙

research

∙ 07/18/2022

Retweet-BERT: Political Leaning Detection Using Language Features and Information Diffusion on Social Networks

Estimating the political leanings of social media users is a challenging...

0 Julie Jiang, et al. ∙

research

∙ 07/07/2022

Word Embedding for Social Sciences: An Interdisciplinary Survey

To extract essential information from complex data, computer scientists ...

0 Akira Matsui, et al. ∙

research

∙ 06/20/2022

Extracting Fast and Slow: User-Action Embedding with Inter-temporal Information

With the recent development of technology, data on detailed human tempor...

0 Akira Matsui, et al. ∙

research

∙ 05/19/2022

Individual and Collective Performance Deteriorate in a New Team: A Case Study of CS:GO Tournaments

How does the team formation relates to team performance in professional ...

0 Weiwei Zhang, et al. ∙

research

∙ 03/29/2022

Zero-shot meta-learning for small-scale data from human subjects

While developments in machine learning led to impressive performance gai...

0 Julie Jiang, et al. ∙

research

∙ 03/14/2022

Tweets in Time of Conflict: A Public Dataset Tracking the Twitter Discourse on the War Between Ukraine and Russia

On February 24, 2022, Russia invaded Ukraine. In the days that followed,...

0 Emily Chen, et al. ∙

research

∙ 02/24/2022

Construction of Large-Scale Misinformation Labeled Datasets from Social Media Discourse using Label Refinement

Malicious accounts spreading misinformation has led to widespread false ...

0 Karishma Sharma, et al. ∙

research

∙ 10/27/2021

Heterogeneous Effects of Software Patches in a Multiplayer Online Battle Arena Game

The popularity of online gaming has grown dramatically, driven in part b...

0 Yuzi He, et al. ∙

research

∙ 10/07/2021

KPop Fandoms drive COVID-19 Public Health Messaging on Social Media

This report examines an unexpected but significant source of positive pu...

0 Ho-Chun Herbert Chang, et al. ∙

research

∙ 10/02/2021

FairFed: Enabling Group Fairness in Federated Learning

As machine learning becomes increasingly incorporated in crucial decisio...

5 Yahya H. Ezzeldin, et al. ∙

research

∙ 07/17/2021

Characterizing Online Engagement with Disinformation and Conspiracies in the 2020 U.S. Presidential Election

Identifying and characterizing disinformation in political discourse on ...

0 Karishma Sharma, et al. ∙

research

∙ 05/11/2021

COVID-19 Vaccine Hesitancy on Social Media: Building a Public Twitter Dataset of Anti-vaccine Content, Vaccine Misinformation and Conspiracies

False claims about COVID-19 vaccines can undermine public trust in ongoi...

0 Goran Muric, et al. ∙

research

∙ 04/19/2021

"Don't quote me on that": Finding Mixtures of Sources in News Articles

Journalists publish statements provided by people, or sources to context...

11 Alexander Spangher, et al. ∙

research

∙ 04/19/2021

Modeling "Newsworthiness" for Lead-Generation Across Corpora

Journalists obtain "leads", or story ideas, by reading large corpora of ...

5 Alexander Spangher, et al. ∙

research

∙ 02/22/2021

Individualized Context-Aware Tensor Factorization for Online Games Predictions

Individual behavior and decisions are substantially influenced by their ...

0 Julie Jiang, et al. ∙

research

∙ 02/16/2021

Social Bots and Social Media Manipulation in 2020: The Year in Review

The year 2020 will be remembered for two events of global significance: ...

0 Ho-Chun Herbert Chang, et al. ∙

research

∙ 02/08/2021

Tracking e-cigarette warning label compliance on Instagram with deep learning

The U.S. Food Drug Administration (FDA) requires that e-cigarette ad...

0 Chris J. Kennedy, et al. ∙

research

∙ 11/20/2020

Graph Signal Recovery Using Restricted Boltzmann Machines

We propose a model-agnostic pipeline to recover graph signals from an ex...

0 Ankith Mohan, et al. ∙

research

∙ 11/10/2020

Detecting Social Media Manipulation in Low-Resource Languages

Social media have been deliberately used for malicious purposes, includi...

9 Samar Haider, et al. ∙

research

∙ 08/12/2020

Learning to Reason in Round-based Games: Multi-task Sequence Generation for Purchasing Decision Making in First-person Shooters

Sequential reasoning is a complex human ability, with extensive previous...

15 Yilei Zeng, et al. ∙

research

∙ 08/04/2020

Having a Bad Day? Detecting the Impact of Atypical Life Events Using Wearable Sensors

Life events can dramatically affect our psychological state and work per...

0 Keith Burghardt, et al. ∙

research

∙ 06/11/2020

Gender disparity in the authorship of biomedical research publications during the COVID-19 pandemic

Preliminary evidence suggests that women, including female researchers, ...

0 Goran Muric, et al. ∙

research

∙ 06/09/2020

ReCOVery: A Multimodal Repository for COVID-19 News Credibility Research

First identified in Wuhan, China, in December 2019, the outbreak of COVI...

0 Xinyi Zhou, et al. ∙

research

∙ 04/28/2020

Detecting multi-timescale consumption patterns from receipt data: A non-negative tensor factorization approach

Understanding consumer behavior is an important task, not only for devel...

2 Akira Matsui, et al. ∙

research

∙ 03/18/2020

TILES-2018: A longitudinal physiologic and behavioral data set of hospital workers

We present a novel longitudinal multimodal corpus of physiological and b...

0 Karel Mundnich, et al. ∙

research

∙ 01/28/2020

Don't Feed the Troll: Detecting Troll Behavior via Inverse Reinforcement Learning

Since the 2016 US Presidential election, social media abuse has been eli...

0 Luca Luceri, et al. ∙

research

∙ 01/28/2020

Charting the Landscape of Online Cryptocurrency Manipulation

Cryptocurrencies represent one of the most attractive markets for financ...

0 Leonardo Nizzoli, et al. ∙

research

∙ 01/17/2020

Predictability limit of partially observed systems

Applications from finance to epidemiology and cyber-security require acc...

0 Andres Abeliuk, et al. ∙

research

∙ 11/26/2019

Collaboration Drives Individual Productivity

How does the number of collaborators affect individual productivity? Res...

0 Goran Muric, et al. ∙

research

∙ 11/16/2019

Learning Behavioral Representations from Wearable Sensors

The ubiquity of mobile devices and wearable sensors offers unprecedented...

12 Nazgol Tavabi, et al. ∙

research

∙ 08/19/2019

Benchmarks for Graph Embedding Evaluation

Graph embedding is the task of representing nodes of a graph in a low-di...

0 Palash Goyal, et al. ∙

research

∙ 08/15/2019

Massive Multi-Agent Data-Driven Simulations of the GitHub Ecosystem

Simulating and predicting planetary-scale techno-social systems poses he...

0 Jim Blythe, et al. ∙

research

∙ 08/14/2019

The History of Digital Spam

Spam!: that's what Lorrie Faith Cranor and Brian LaMacchia exclaimed in ...

0 Emilio Ferrara, et al. ∙

research

∙ 05/21/2019

Discovering Hidden Structure in High Dimensional Human Behavioral Data via Tensor Factorization

In recent years, the rapid growth in technology has increased the opport...

5 Homa Hosseinmardi, et al. ∙

research

∙ 05/21/2019

Personality and Behavior in Role-based Online Games

Both offline and online human behaviors are affected by personality. Of ...

0 Zhao Wang, et al. ∙

research

∙ 04/10/2019

Discovering patterns of online popularity from time series

How is popularity gained online? Is being successful strictly related to...

10 Mert Ozer, et al. ∙

research

∙ 03/01/2019

Characterizing Activity on the Deep and Dark Web

The deep and darkweb (d2web) refers to limited access web sites that req...

0 Nazgol Tavabi, et al. ∙

research

∙ 01/03/2019

Arming the public with artificial intelligence to counter social bots

The increased relevance of social media in our daily life has been accom...

0 Kai-Cheng Yang, et al. ∙

research

∙ 01/03/2019

Arming the public with AI to counter social bots

The increased relevance of social media in our daily life has been accom...

0 Kai-Cheng Yang, et al. ∙

research

∙ 12/05/2018

The Influence of Social Ties on Performance in Team-based Online Games

Social ties are the invisible glue that keeps together human ecosystems....

0 Yilei Zeng, et al. ∙

research

∙ 11/26/2018

DynamicGEM: A Library for Dynamic Graph Embedding Methods

DynamicGEM is an open-source Python library for learning node representa...

0 Palash Goyal, et al. ∙

research

∙ 08/31/2018

Tensor Embedding: A Supervised Framework for Human Behavioral Data Mining and Prediction

Today's densely instrumented world offers tremendous opportunities for c...

16 Homa Hosseinmardi, et al. ∙

Emilio Ferrara

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