Latest Articles for User Behavior

Examining how mempool privacy impacts transactions and fairness in blockchain systems.

Insights into Bitcoin's structure, user behavior, and network changes over time.

Introducing friction can enhance content quality shared on social platforms.

Examining how echo chambers shape opinions in social media.

Examining how lurkers influence fake news detection on social media.

Examining the privacy limitations of stealth addresses in blockchain transactions.

Analyzing data routing strategies to minimize packet loss in shared networks.

Examining how VR sensor data poses privacy challenges for users.

A method to find averages from varied user data without compromising privacy.

A new approach enhances cybersecurity for cloud services by predicting VM threats.

New methods identify linked accounts to reduce abusive content on social media.

A new method to improve video recommendations by reducing length bias.

Study reveals behaviors and topics among conspiracy users on Twitter in 2022.

A new approach enhances food ordering suggestions using user behavior data.

Using machine learning to predict which video segments viewers replay the most.

Research reveals how stance labels can promote diverse search results.

Learn how honeywords could improve password security and protect user accounts.

Unobserved confounders can skew data, leading to false conclusions about recommendations.

This study reveals how Bitcoin transactions occur across different locations and times.

A new tool enhances analysis of leaked passwords to improve online security.

Users are moving from Twitter to new platforms amid changing preferences.

A new model for evaluating user trustworthiness across social platforms.

Examining user behavior on Twitter and Parler during the 2020 election.

MindShift offers personalized interventions to reduce excessive smartphone use by understanding mental states.

Introducing Social-LLM, a model improving user detection in social networks using content and interaction data.

Examining how AI uncertainty affects decision-making in healthcare.

A new method to monitor and predict the spread of online rumors.

Study explores how search results affect users' opinions and behaviors.

Examining how individuals respond to phishing emails.

A new method, InfoRank, reduces biases in online recommendations.

A study reveals why users often stick to misinformation spreaders on social media.

This study examines harmful Twitter profiles that spread misleading information.

Examining the impact of strategic user interactions on service performance.

Examining how platforms manage misinformation while balancing user engagement.

Examining how recommendation systems shape our media choices and experiences.

Learn how tropical algebra improves recommendation systems through matrix factorization.

This article explores ways to enhance insurance product suggestions for customers.

Examining February 2023 adjustments and their effects on user engagement.

Examining user behavior to enhance EV charging station efficiency.

This study examines communities sharing low-credibility news on social media.