Search Results for author:
Found 16 papers, 8 papers with code
TurkishBERTweet: Fast and Reliable Large Language Model for Social Media Analysis
Wide us of this language on social media platforms such as Twitter, Instagram, or Tiktok and strategic position of the country in the world politics makes it appealing for the social network researchers and industry.
Hidden Citations Obscure True Impact in Science
References, the mechanism scientists rely on to signal previous knowledge, lately have turned into widely used and misused measures of scientific impact.
#Secim2023: First Public Dataset for Studying Turkish General Election
It is of utmost importance to capture the upcoming Turkish elections, as social media is becoming an essential component of election propaganda, political debates, smear campaigns, and election manipulation by domestic and international actors.
Academic Support Network Reflects Doctoral Experience and Productivity
Current practices of quantifying performance by productivity leads serious concerns for psychological well-being of doctoral students and influence of research environment is often neglected in research evaluations.
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.
Network Medicine Framework for Identifying Drug Repurposing Opportunities for COVID-19
The current pandemic has highlighted the need for methodologies that can quickly and reliably prioritize clinically approved compounds for their potential effectiveness for SARS-CoV-2 infections.
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.
L2P: Learning to Place for Estimating Heavy-Tailed Distributed Outcomes
In its placing phase, L2P obtains a prediction by placing the new instance among the known instances.
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
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
Predicting online extremism, content adopters, and interaction reciprocity
We present a machine learning framework that leverages a mixture of metadata, network, and temporal features to detect extremist users, and predict content adopters and interaction reciprocity in social media.
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.
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
