Cover Image

Generative AI may backfire for counterspeech

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Bär, Dominik, Maarouf, Abdurahman, Feuerriegel, Stefan
Format:	Preprint
Published:	2024
Subjects:	Social and Information Networks Computers and Society
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Analyzing User Characteristics of Hate Speech Spreaders on Social Media
by: Geissler, Dominique, et al.
Published: (2023)

The Virality of Hate Speech on Social Media
by: Maarouf, Abdurahman, et al.
Published: (2022)

New threats to society from free-speech social media platforms
by: Bär, Dominik, et al.
Published: (2023)

HQP: A Human-Annotated Dataset for Detecting Online Propaganda
by: Maarouf, Abdurahman, et al.
Published: (2023)

Comparing the willingness to share for human-generated vs. AI-generated fake news
by: Bashardoust, Amirsiavosh, et al.
Published: (2024)

Systematic discrepancies in the delivery of political ads on Facebook and Instagram
by: Bär, Dominik, et al.
Published: (2023)

AI Rules? Characterizing Reddit Community Policies Towards AI-Generated Content
by: Lloyd, Travis, et al.
Published: (2024)

Visualizing the "Heartbeat" of a City with Tweets
by: França, Urbano, et al.
Published: (2014)

A Fused Large Language Model for Predicting Startup Success
by: Maarouf, Abdurahman, et al.
Published: (2024)

Follow the Rules (or Not): Community Norms and AI-Generated Support in Online Health Communities
by: Mittal, Shravika, et al.
Published: (2026)

"There Has To Be a Lot That We're Missing": Moderating AI-Generated Content on Reddit
by: Lloyd, Travis, et al.
Published: (2023)

Synthetic Politics: Prevalence, Spreaders, and Emotional Reception of AI-Generated Political Images on X
by: Chen, Zhiyi, et al.
Published: (2025)

Deception Decoder: Proposing a Human-Focused Framework for Identifying AI-Generated Content on Social Media
by: Kerbage, C. Bowman
Published: (2025)

ChatGPT vs Teachers vs Students: Large-Scale Analysis of Generative AI Discourse in Education Communities on Reddit
by: Yüce, Pelin, et al.
Published: (2026)

The Impact of AI-Generated Text on the Internet
by: Dolezal, Jonas, et al.
Published: (2026)

The Potential Impact of Disruptive AI Innovations on U.S. Occupations
by: Kim, Munjung, et al.
Published: (2025)

Inferential Privacy Leakage in Anonymized Conversational AI Logs
by: Zaman, S M Mehedi, et al.
Published: (2026)

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

AI Feedback Enhances Community-Based Content Moderation through Engagement with Counterarguments
by: Mohammadi, Saeedeh, et al.
Published: (2025)

KI4Demokratie: An AI-Based Platform for Monitoring and Fostering Democratic Discourse
by: Veliz, Rudy Alexandro Garrido, et al.
Published: (2025)

Public Discourse about COVID-19 Vaccinations: A Computational Analysis of the Relationship between Public Concerns and Policies
by: Boland, Katarina, et al.
Published: (2024)

Examining the Prevalence and Dynamics of AI-Generated Media in Art Subreddits
by: Matatov, Hana, et al.
Published: (2024)

Generalized Reputation Computation Ontology and Temporal Graph Architecture
by: Kolonin, Anton
Published: (2019)

Wikipedia and Grokipedia: A Comparison of Human and Generative Encyclopedias
by: Hadad, Ortal, et al.
Published: (2026)

Structure-aware Propagation Generation with Large Language Models for Fake News Detection
by: Chen, Mengyang, et al.
Published: (2025)

Analyzing Misinformation Claims During the 2022 Brazilian General Election on WhatsApp, Twitter, and Kwai
by: Hale, Scott A., et al.
Published: (2024)

Can We Fix Social Media? Testing Prosocial Interventions using Generative Social Simulation
by: Larooij, Maik, et al.
Published: (2025)

Exploring Public Perceptions of Generative AI in Libraries: A Social Media Analysis of X Discussions
by: Li, Yuan, et al.
Published: (2025)

DomainDemo: a dataset of domain-sharing activities among different demographic groups on Twitter
by: Yang, Kai-Cheng, et al.
Published: (2025)

Evaluating AI capabilities in detecting conspiracy theories on YouTube
by: La Rocca, Leonardo, et al.
Published: (2025)

Machines in the Crowd? Measuring the Footprint of Machine-Generated Text on Reddit
by: La Cava, Lucio, et al.
Published: (2025)

The complementary contributions of academia and industry to AI research
by: Liang, Lizhen, et al.
Published: (2024)

Anatomy of an AI-powered malicious social botnet
by: Yang, Kai-Cheng, et al.
Published: (2023)

Counterspeech for Mitigating the Influence of Media Bias: Comparing Human and LLM-Generated Responses
by: Lin, Luyang, et al.
Published: (2025)

Mobilizing Waldo: Evaluating Multimodal AI for Public Mobilization
by: Cebrian, Manuel, et al.
Published: (2024)

LLMs Among Us: Generative AI Participating in Digital Discourse
by: Radivojevic, Kristina, et al.
Published: (2024)

Accumulated Local Effects and Graph Neural Networks for link prediction
by: Kaczyńska, Paulina, et al.
Published: (2025)

InstaSynth: Opportunities and Challenges in Generating Synthetic Instagram Data with ChatGPT for Sponsored Content Detection
by: Bertaglia, Thales, et al.
Published: (2024)

Let Silence Speak: Enhancing Fake News Detection with Generated Comments from Large Language Models
by: Nan, Qiong, et al.
Published: (2024)

Characteristics and prevalence of fake social media profiles with AI-generated faces
by: Yang, Kai-Cheng, et al.
Published: (2024)