Building and breaking social media habits

JB Bayer, IA Anderson, RS Tokunaga - Current Opinion in Psychology, 2022 - Elsevier
Social media habits represent one of the most common–and controversial–forms of habitual
behavior in contemporary society. In this brief article, we summarize the state of research on …

Focus Time for Wellbeing and Work Engagement of Information Workers

K Saha, ST Iqbal - Extended Abstracts of the 2023 CHI Conference on …, 2023 - dl.acm.org
Having little time for focused work is a major challenge in information work. While research
has explored computing-assisted user-facing solutions for protecting time for focused work …

Examining factors associated with twitter account suspension following the 2020 us presidential election

FA Chowdhury, D Saha, MR Hasan, K Saha… - Proceedings of the …, 2021 - dl.acm.org
Online social media enables mass-level, transparent, and democratized discussion on
numerous socio-political issues. Due to such openness, these platforms often endure …

Predicting future location categories of users in a large social platform

RA Baten, Y Liu, H Peters, F Barbieri, N Shah… - Proceedings of the …, 2023 - ojs.aaai.org
Understanding the users' patterns of visiting various location categories can help online
platforms improve content personalization and user experiences. Current literature on …

Unpacking the exploration–exploitation tradeoff on Snapchat: The relationships between users' exploration–exploitation interests and server log data

D Gómez-Zará, Y Liu, L Neves, N Shah… - Computers in Human …, 2024 - Elsevier
Social media users continuously decide between looking for familiar content and exploring
novel content. Although prior research has extensively studied the trade-off between …

Context-Aware Prediction of User Engagement on Online Social Platforms

H Peters, Y Liu, F Barbieri, RA Baten, SC Matz… - arXiv preprint arXiv …, 2023 - arxiv.org
The success of online social platforms hinges on their ability to predict and understand user
behavior at scale. Here, we present data suggesting that context-aware modeling …

DIGMN: Dynamic Intent Guided Meta Network for Differentiated User Engagement Forecasting in Online Professional Social Platforms

F Li, L Du, Q Fu, S Han, Y Du, G Lu, Z Li - Proceedings of the Sixteenth …, 2023 - dl.acm.org
User engagement prediction plays a critical role in designing interaction strategies to grow
user engagement and increase revenue in online social platforms. Through the in-depth …

Designing and Evaluating General-Purpose User Representations Based on Behavioral Logs from a Measurement Process Perspective: A Case Study with Snapchat

Q Fang, Z Zhou, F Barbieri, Y Liu, L Neves… - arXiv preprint arXiv …, 2023 - arxiv.org
In human-computer interaction, understanding user behaviors and tailoring systems
accordingly is pivotal. To this end, general-purpose user representation learning based on …

Context-aware prediction of active and passive user engagement: Evidence from a large online social platform

H Peters, Y Liu, F Barbieri, RA Baten, SC Matz… - Journal of Big Data, 2024 - Springer
The success of online social platforms hinges on their ability to predict and understand user
behavior at scale. Here, we present data suggesting that context-aware modeling …

General-Purpose User Modeling with Behavioral Logs: A Snapchat Case Study

Q Fang, Z Zhou, F Barbieri, Y Liu, L Neves… - Proceedings of the 47th …, 2024 - dl.acm.org
Learning general-purpose user representations based on user behavioral logs is an
increasingly popular user modeling approach. It benefits from easily available, privacy …