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07/11/2023
The Butterfly Effect in AI Fairness and Bias
The Butterfly Effect, a concept originating from chaos theory, underscor...
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05/24/2023
Identifying Informational Sources in News Articles
News articles are driven by the informational sources journalists use in...
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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...
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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...
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04/06/2023
Leveraging Social Interactions to Detect Misinformation on Social Media
Detecting misinformation threads is crucial to guarantee a healthy envir...
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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...
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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...
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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 ...
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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...
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07/07/2022
Word Embedding for Social Sciences: An Interdisciplinary Survey
To extract essential information from complex data, computer scientists ...
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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...
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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 ...
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03/29/2022
Zero-shot meta-learning for small-scale data from human subjects
While developments in machine learning led to impressive performance gai...
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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,...
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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 ...
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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...
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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...
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10/02/2021
FairFed: Enabling Group Fairness in Federated Learning
As machine learning becomes increasingly incorporated in crucial decisio...
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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 ...
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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...
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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...
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04/19/2021
Modeling "Newsworthiness" for Lead-Generation Across Corpora
Journalists obtain "leads", or story ideas, by reading large corpora of ...
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02/22/2021
Individualized Context-Aware Tensor Factorization for Online Games Predictions
Individual behavior and decisions are substantially influenced by their ...
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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: ...
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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...
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11/20/2020
Graph Signal Recovery Using Restricted Boltzmann Machines
We propose a model-agnostic pipeline to recover graph signals from an ex...
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11/10/2020
Detecting Social Media Manipulation in Low-Resource Languages
Social media have been deliberately used for malicious purposes, includi...
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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...
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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...
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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, ...
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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...
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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...
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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...
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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...
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01/28/2020
Charting the Landscape of Online Cryptocurrency Manipulation
Cryptocurrencies represent one of the most attractive markets for financ...
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01/17/2020
Predictability limit of partially observed systems
Applications from finance to epidemiology and cyber-security require acc...
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11/26/2019
Collaboration Drives Individual Productivity
How does the number of collaborators affect individual productivity? Res...
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11/16/2019
Learning Behavioral Representations from Wearable Sensors
The ubiquity of mobile devices and wearable sensors offers unprecedented...
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08/19/2019
Benchmarks for Graph Embedding Evaluation
Graph embedding is the task of representing nodes of a graph in a low-di...
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08/15/2019
Massive Multi-Agent Data-Driven Simulations of the GitHub Ecosystem
Simulating and predicting planetary-scale techno-social systems poses he...
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08/14/2019
The History of Digital Spam
Spam!: that's what Lorrie Faith Cranor and Brian LaMacchia exclaimed in ...
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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...
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05/21/2019
Personality and Behavior in Role-based Online Games
Both offline and online human behaviors are affected by personality. Of ...
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04/10/2019
Discovering patterns of online popularity from time series
How is popularity gained online? Is being successful strictly related to...
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03/01/2019
Characterizing Activity on the Deep and Dark Web
The deep and darkweb (d2web) refers to limited access web sites that req...
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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...
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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...
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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....
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11/26/2018
DynamicGEM: A Library for Dynamic Graph Embedding Methods
DynamicGEM is an open-source Python library for learning node representa...
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08/31/2018
