Latest Articles for User Behavior

A study of techniques used to bypass safety measures in AI language models.

How cognitive biases impact user choices in digital information retrieval.

Study examines the effects of defederation on user activity and message toxicity.

This article explores how users perceive adversarial phishing sites and ways to improve detection.

Study reveals how Twitter's algorithms affect political opinions and echo chambers.

A guide on resource allocation strategies to curb illegal activities.

A predictive model helps game developers forecast player spending behavior.

A method to classify social media users' opinions on key issues through hashtags and interactions.

This research examines transaction data to assess the impact of exchanges on Polkadot.

A look into how web traffic is distributed among various sectors and websites.

A comprehensive dataset revealing user interactions and trends on Bluesky Social.

SoMeR combines diverse user data for better online behavior insights.

This study enhances recommendation systems by analyzing varied user interaction methods.

A look into how users move within digital environments.

Examining the impact of nudges on password change behavior after data breaches.

Inscriptions are changing how data is recorded on blockchains.

Examining the effectiveness of counterspeech against hate communities online.

This article discusses privacy and bias in predictive algorithms for sensitive data.

A look into how propaganda spreads on Telegram during conflicts.

A new framework improves understanding of user engagement and relationships in multiplex networks.

How TikTok shapes user habits around vaping and drinking.

Analyzing user behavior to improve urban public transport systems.

Research shows text-image inconsistency rises with post popularity on social media.

This research examines how Americans engage with political information on Facebook.

Examining changes in communication and vocabulary on social media over 34 years.

New techniques improve search engine models by considering user context.

Creating systems that promote truthfulness among users in various digital interactions.

Examining how users shape toxic language in conversations with large language models.

Study reveals changing patterns of toxicity on Reddit and Wikipedia over time.

This study highlights the importance of user avoidance in news recommendations.

A new method reveals how to identify coordinated user behaviors on social media.

Study reveals surprising risks of sharing sensitive data with chatbots.

STCCR model enhances understanding of human movement using check-in sequences.

Explore user interactions on Bluesky Social through the BlueTempNet dataset.

This study examines user roles and behaviors on the Scored.co platform.

BotSAI framework enhances the identification of Twitter bots using advanced techniques.

Study investigates how Brazilian users engage with political content on social media.

This study analyzes user interactions and emotions in online news during the 2022 election.

An overview of Reddit's collaborative pixel-art experiments and user behavior.

Understanding how emotions affect online interactions and conversations.