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Found 23 papers, 13 papers with code
Rematch: Robust and Efficient Matching of Local Knowledge Graphs to Improve Structural and Semantic Similarity
Knowledge graphs play a pivotal role in various applications, such as question-answering and fact-checking.
Ranked #2 on
Graph Matching
on RARE
Characteristics and prevalence of fake social media profiles with AI-generated faces
Applying this method to a random sample of active Twitter users, we estimate a lower bound for the prevalence of profiles using GAN-generated faces between 0. 021% and 0. 044% -- around 10K daily active accounts.
Factuality Challenges in the Era of Large Language Models
The emergence of tools based on Large Language Models (LLMs), such as OpenAI's ChatGPT, Microsoft's Bing Chat, and Google's Bard, has garnered immense public attention.
Fact-checking information generated by a large language model can decrease news discernment
Although the LLM performs reasonably well in debunking false headlines, we find that it does not significantly affect participants' ability to discern headline accuracy or share accurate news.
Anatomy of an AI-powered malicious social botnet
Large language models (LLMs) exhibit impressive capabilities in generating realistic text across diverse subjects.
Large language models can rate news outlet credibility
Although large language models (LLMs) have shown exceptional performance in various natural language processing tasks, they are prone to hallucinations.
Demystifying Misconceptions in Social Bots Research
Research on social bots aims at advancing knowledge and providing solutions to one of the most debated forms of online manipulation.
Right and left, partisanship predicts (asymmetric) vulnerability to misinformation
We analyze the relationship between partisanship, echo chambers, and vulnerability to online misinformation by studying news sharing behavior on Twitter.
Misinformation
Social and Information Networks
Computers and Society
Detection of Novel Social Bots by Ensembles of Specialized Classifiers
The ensemble of specialized classifiers (ESC) can better generalize, leading to an average improvement of 56\% in F1 score for unseen accounts across datasets.
Neutral bots probe political bias on social media
Conservative accounts also find themselves in denser communities and are exposed to more low-credibility content.
Social and Information Networks Computers and Society
Recency predicts bursts in the evolution of author citations
The citations process for scientific papers has been studied extensively.
Scalable and Generalizable Social Bot Detection through Data Selection
To ensure model accuracy, we build a rich collection of labeled datasets for training and validation.
Arming the public with artificial intelligence to counter social bots
Researchers have responded by developing AI tools to arm the public in the fight against social bots.
Computers and Society
Finding Streams in Knowledge Graphs to Support Fact Checking
The volume and velocity of information that gets generated online limits current journalistic practices to fact-check claims at the same rate.
The spread of low-credibility content by social bots
Communication, cognitive, social, and computer scientists are engaged in efforts to study the complex causes for the viral diffusion of misinformation online and to develop solutions, while search and social media platforms are beginning to deploy countermeasures.
Social and Information Networks Computers and Society Physics and Society
Online Human-Bot Interactions: Detection, Estimation, and Characterization
Increasing evidence suggests that a growing amount of social media content is generated by autonomous entities known as social bots.
Social and Information Networks
Ultra High-Dimensional Nonlinear Feature Selection for Big Biological Data
However, sophisticated learning models are computationally unfeasible for data with millions of features.
BotOrNot: A System to Evaluate Social Bots
While most online social media accounts are controlled by humans, these platforms also host automated agents called social bots or sybil accounts.
Social and Information Networks
The DARPA Twitter Bot Challenge
A number of organizations ranging from terrorist groups such as ISIS to politicians and nation states reportedly conduct explicit campaigns to influence opinion on social media, posing a risk to democratic processes.
Women Through the Glass Ceiling: Gender Asymmetries in Wikipedia
Contributing to the writing of history has never been as easy as it is today thanks to Wikipedia, a community-created encyclopedia that aims to document the world's knowledge from a neutral point of view.
Social and Information Networks
Clustering memes in social media streams
The problem of clustering content in social media has pervasive applications, including the identification of discussion topics, event detection, and content recommendation.
The Rise of Social Bots
The Turing test aimed to recognize the behavior of a human from that of a computer algorithm.
Social and Information Networks Computers and Society Data Analysis, Statistics and Probability Physics and Society
Scale-free network growth by ranking
Network growth is currently explained through mechanisms that rely on node prestige measures, such as degree or fitness.
Disordered Systems and Neural Networks Statistical Mechanics Physics and Society
