Mapping Election Toxicity on Social Media across Issue, Ideology, and Psychosocial Dimensions

Fuente: arXiv

Gespeichert in:

Bibliographische Detailangaben
Hauptverfasser:	Cao, Lei, Zeng, Wen, Wu, Xinyue, Choi, Eun Cheol, Ferrara, Emilio
Format:	Preprint
Veröffentlicht:	2026
Schlagworte:	Social and Information Networks Computation and Language Computers and Society
Online-Zugang:	Acceder al recurso
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Ähnliche Einträge

FACT-GPT: Fact-Checking Augmentation via Claim Matching with LLMs
von: Choi, Eun Cheol, et al.
Veröffentlicht: (2024)

Limited Effectiveness of LLM-based Data Augmentation for COVID-19 Misinformation Stance Detection
von: Choi, Eun Cheol, et al.
Veröffentlicht: (2025)

Overstating Attitudes, Ignoring Networks: LLM Biases in Simulating Misinformation Susceptibility
von: Choi, Eun Cheol, et al.
Veröffentlicht: (2026)

The Hidden Toll of Social Media News: Causal Effects on Psychosocial Wellbeing
von: Pal, Olivia, et al.
Veröffentlicht: (2026)

Reading Between the Tweets: Deciphering Ideological Stances of Interconnected Mixed-Ideology Communities
von: He, Zihao, et al.
Veröffentlicht: (2024)

Uncovering Coordinated Cross-Platform Information Operations Threatening the Integrity of the 2024 U.S. Presidential Election Online Discussion
von: Minici, Marco, et al.
Veröffentlicht: (2024)

Dynamics of Ideological Biases of Social Media Users
von: Modi, Mohammed Shahid, et al.
Veröffentlicht: (2023)

Safe Spaces or Toxic Places? Content Moderation and Social Dynamics of Online Eating Disorder Communities
von: Lerman, Kristina, et al.
Veröffentlicht: (2024)

Moral Sparks in Social Media Narratives
von: Xi, Ruijie, et al.
Veröffentlicht: (2023)

Media Bias Matters: Understanding the Impact of Politically Biased News on Vaccine Attitudes in Social Media
von: Jiang, Bohan, et al.
Veröffentlicht: (2024)

Charting the Landscape of Nefarious Uses of Generative Artificial Intelligence for Online Election Interference
von: Ferrara, Emilio
Veröffentlicht: (2024)

Election Polls on Social Media: Prevalence, Biases, and Voter Fraud Beliefs
von: Scarano, Stephen, et al.
Veröffentlicht: (2024)

Ideological Fragmentation of the Social Media Ecosystem: From echo chambers to echo platforms
von: Di Martino, Edoardo, et al.
Veröffentlicht: (2024)

GenAI Against Humanity: Nefarious Applications of Generative Artificial Intelligence and Large Language Models
von: Ferrara, Emilio
Veröffentlicht: (2023)

Analyzing Toxicity in Deep Conversations: A Reddit Case Study
von: Shankaran, Vigneshwaran, et al.
Veröffentlicht: (2024)

Conceptualizing Suicidal Behavior: Utilizing Explanations of Predicted Outcomes to Analyze Longitudinal Social Media Data
von: Nguyen, Van Minh, et al.
Veröffentlicht: (2023)

Who Shares Fake News? Uncovering Insights from Social Media Users' Post Histories
von: Schoenmueller, Verena, et al.
Veröffentlicht: (2022)

Unpacking Generative AI in Education: Computational Modeling of Teacher and Student Perspectives in Social Media Discourse
von: DeVito, Paulina, et al.
Veröffentlicht: (2025)

"Whose Side Are You On?" Estimating Ideology of Political and News Content Using Large Language Models and Few-shot Demonstration Selection
von: Haroon, Muhammad, et al.
Veröffentlicht: (2025)

Identifying Cyberbullying Roles in Social Media
von: Sandoval, Manuel, et al.
Veröffentlicht: (2024)

Invisible Walls in Cities: Designing LLM Agent to Predict Urban Segregation Experience with Social Media Content
von: Fan, Bingbing, et al.
Veröffentlicht: (2025)

Divergent Emotional Patterns in Disinformation on Social Media? An Analysis of Tweets and TikToks about the DANA in Valencia
von: Arcos, Iván, et al.
Veröffentlicht: (2025)

WhatsApp Tiplines and Multilingual Claims in the 2021 Indian Assembly Elections
von: Shahi, Gautam Kishore, et al.
Veröffentlicht: (2025)

IndRegBias: A Dataset for Studying Indian Regional Biases in English and Code-Mixed Social Media Comments
von: Panda, Debasmita, et al.
Veröffentlicht: (2026)

Leveraging Social Media Data to Identify Factors Influencing Public Attitude Towards Accessibility, Socioeconomic Disparity and Public Transportation
von: Momin, Khondhaker Al, et al.
Veröffentlicht: (2024)

Classifying Problem and Solution Framing in Congressional Social Media
von: Melnyk, Misha, et al.
Veröffentlicht: (2026)

Circadian Modulation of Semantic Exploration in Social Media Language
von: Truong, Vuong Hung, et al.
Veröffentlicht: (2026)

Large Language Models' Accuracy in Emulating Human Experts' Evaluation of Public Sentiments about Heated Tobacco Products on Social Media
von: Kim, Kwanho, et al.
Veröffentlicht: (2025)

Causal Effects of Trigger Words in Social Media Discussions: A Large-Scale Case Study about UK Politics on Reddit
von: Antypas, Dimosthenis, et al.
Veröffentlicht: (2024)

Event Detection from Social Media for Epidemic Prediction
von: Parekh, Tanmay, et al.
Veröffentlicht: (2024)

Polarized Patterns of Language Toxicity and Sentiment of Debunking Posts on Social Media
von: Xu, Wentao, et al.
Veröffentlicht: (2025)

SugarTextNet: A Transformer-Based Framework for Detecting Sugar Dating-Related Content on Social Media with Context-Aware Focal Loss
von: Wang, Lionel Z., et al.
Veröffentlicht: (2025)

Community-based Behavioral Understanding of Crisis Activity Concerns using Social Media Data: A Study on the 2023 Canadian Wildfires in New York City
von: Momin, Khondhaker Al, et al.
Veröffentlicht: (2024)

Unveiling Political Influence Through Social Media: Network and Causal Dynamics in the 2022 French Presidential Election
von: Achitouv, Ixandra, et al.
Veröffentlicht: (2025)

Detecting Synthetic Political Narratives in Cross-Platform Social Media Discourse
von: Antonakaki, Despoina, et al.
Veröffentlicht: (2026)

MOSAIC: Unveiling the Moral, Social and Individual Dimensions of Large Language Models
von: Coppolillo, Erica, et al.
Veröffentlicht: (2026)

A Text Classification Framework for Simple and Effective Early Depression Detection Over Social Media Streams
von: Burdisso, Sergio G., et al.
Veröffentlicht: (2019)

Information Suppression in Large Language Models: Auditing, Quantifying, and Characterizing Censorship in DeepSeek
von: Qiu, Peiran, et al.
Veröffentlicht: (2025)

No Free Lunch in Language Model Bias Mitigation? Targeted Bias Reduction Can Exacerbate Unmitigated LLM Biases
von: Chand, Shireen, et al.
Veröffentlicht: (2025)

Post-hoc Study of Climate Microtargeting on Social Media Ads with LLMs: Thematic Insights and Fairness Evaluation
von: Islam, Tunazzina, et al.
Veröffentlicht: (2024)