Image de couverture de livre

Using co-sharing to identify use of mainstream news for promoting potentially misleading narratives

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Goel, Pranav, Green, Jon, Lazer, David, Resnik, Philip
Format:	Preprint
Publié:	2023
Sujets:	Social and Information Networks
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

DomainDemo: a dataset of domain-sharing activities among different demographic groups on Twitter
par: Yang, Kai-Cheng, et autres
Publié: (2025)

Account credibility inference based on news-sharing networks
par: Truong, Bao Tran, et autres
Publié: (2022)

A political cartography of news sharing: Capturing story, outlet and content level of news circulation on Twitter
par: Gaisbauer, Felix, et autres
Publié: (2025)

Diffusion of complex contagions is shaped by a trade-off between reach and reinforcement
par: Wan, Allison, et autres
Publié: (2024)

Community-based fact-checking reduces the spread of misleading posts on social media
par: Chuai, Yuwei, et autres
Publié: (2024)

Comparing the willingness to share for human-generated vs. AI-generated fake news
par: Bashardoust, Amirsiavosh, et autres
Publié: (2024)

Political polarisation in turbulent times: Tracking polarisation trends and partisan news link sharing on Finnish Twitter, 2015-2023
par: Gronow, Antti, et autres
Publié: (2024)

The voice of few, the opinions of many: evidence of social biases in Twitter COVID-19 fake news sharing
par: Castioni, Piergiorgio, et autres
Publié: (2021)

Understanding news story chains using information retrieval and network clustering techniques
par: Nicholls, Tom, et autres
Publié: (2018)

Enhancing Social Media Personalization: Dynamic User Profile Embeddings and Multimodal Contextual Analysis Using Transformer Models
par: Vachharajani, Pranav
Publié: (2024)

Evaluating the effect of viral news on social media engagement
par: Sangiorgio, Emanuele, et autres
Publié: (2024)

Exploring agent interaction patterns in the comment sections of fake and real news
par: Zhu, Kailun, et autres
Publié: (2024)

False memories to fake news: The evolution of the term "misinformation" in academic literature
par: Iglesias, Alejandro Javier Ruiz, et autres
Publié: (2026)

Sum of rank ratios: an alternative to percentiles for research assessment, from groundbreaking to mainstream research
par: Rodriguez-Navarro, Alonso
Publié: (2026)

Fake news: No ban, No spread -- with Sequestration
par: Galam, Serge
Publié: (2024)

Interrupted time series analysis of clickbait on worldwide news websites, 2016-2023
par: McCutcheon, Austin, et autres
Publié: (2024)

Followers do not dictate the virality of news outlets on social media
par: Sangiorgio, Emanuele, et autres
Publié: (2024)

Detection and Prevention of Smishing Attacks
par: Goel, Diksha
Publié: (2024)

Who should fight the spread of fake news?
par: Riazi, Diana, et autres
Publié: (2024)

How fake news can turn against its spreader
par: Brody, Dorje C., et autres
Publié: (2025)

Negative news posts are less prevalent and generate lower user engagement than non-negative news posts across six countries
par: Talaga, Szymon, et autres
Publié: (2025)

Political audience diversity and news reliability in algorithmic ranking
par: Bhadani, Saumya, et autres
Publié: (2020)

Point process analysis of geographical diffusion of news in Argentina
par: Garcia, Lucio L., et autres
Publié: (2024)

Quality-Sensitive Matrix Factorization for Community Notes: Towards Sample Efficiency and Manipulation Resistance
par: Goyal, Mohak, et autres
Publié: (2026)

Did ChatGPT or Copilot use alter the style of internet news headlines? A time series regression analysis
par: Brogly, Chris, et autres
Publié: (2025)

Network analysis reveals news press landscape and asymmetric user polarization
par: Lee, Byunghwee, et autres
Publié: (2024)

Conflicting narratives and polarization on social media
par: Pournaki, Armin
Publié: (2025)

Discovering Top-k Structural Hole Spanners in Dynamic Networks
par: Goel, Diksha, et autres
Publié: (2023)

Effective Graph-Neural-Network based Models for Discovering Structural Hole Spanners in Large-Scale and Diverse Networks
par: Goel, Diksha, et autres
Publié: (2023)

Discovering Structural Hole Spanners in Dynamic Networks via Graph Neural Networks
par: Goel, Diksha, et autres
Publié: (2022)

Building networks of shared research interests by embedding words into a representation space
par: Poon, Art
Publié: (2025)

Quantifying correlations between information overload and fake news during COVID-19 pandemic: a Reddit study with BERT model approach
par: Rawa, Jan, et autres
Publié: (2026)

PRE-Share Data: Assistance Tool for Resource-aware Designing of Data-sharing Pipelines
par: Masoudi, Sepideh
Publié: (2025)

Fostering cultural change in research through innovative knowledge sharing, evaluation, and community engagement strategies
par: Rho, Junsuk, et autres
Publié: (2025)

Beyond Polarization: Opinion Mixing and Social Influence in Deliberation
par: Goyal, Mohak, et autres
Publié: (2026)

How Polarized are Online Conversations about Childhood?
par: Green, Breanna E., et autres
Publié: (2024)

On the Relationship Between Relevance and Conflict in Online Social Link Recommendations
par: Wang, Yanbang, et autres
Publié: (2023)

From low resource information extraction to identifying influential nodes in knowledge graphs
par: Cai, Erica, et autres
Publié: (2024)

Schadenfreude in the Digital Public Sphere: A cross-national and decade-long analysis of Facebook news engagement
par: Aldahoul, Nouar, et autres
Publié: (2026)

PRAGyan -- Connecting the Dots in Tweets
par: Ravi, Rahul, et autres
Publié: (2024)