News Generation
10 papers with code • 0 benchmarks • 5 datasets
Generation of larger segments of text with consistent topic and evolving story.
Benchmarks
These leaderboards are used to track progress in News Generation
Reddit
FakeNewsNet
Ice Hockey News Dataset
Reddit Ideology Database
Latest papers with no code
Style-News: Incorporating Stylized News Generation and Adversarial Verification for Neural Fake News Detection
In this paper, we focus on neural fake news, which refers to content generated by neural networks aiming to mimic the style of real news to deceive people.
A Simple yet Efficient Ensemble Approach for AI-generated Text Detection
Experiments conducted on four benchmark datasets for generative text classification show performance improvements in the range of 0. 5 to 100\% compared to previous state-of-the-art approaches.
FakeGPT: Fake News Generation, Explanation and Detection of Large Language Models
The rampant spread of fake news has adversely affected society, resulting in extensive research on curbing its spread.
Predictive linguistic cues for fake news: a societal artificial intelligence problem
Media news are making a large part of public opinion and, therefore, must not be fake.
When a Computer Cracks a Joke: Automated Generation of Humorous Headlines
Automated news generation has become a major interest for new agencies in the past.
Uni-FedRec: A Unified Privacy-Preserving News Recommendation Framework for Model Training and Online Serving
In this paper, we propose a unified news recommendation framework, which can utilize user data locally stored in user clients to train models and serve users in a privacy-preserving way.
Topic-Preserving Synthetic News Generation: An Adversarial Deep Reinforcement Learning Approach
In this paper, we consider realistic news as news that cannot be easily detected by a fake news classifier.
Xiaomingbot: A Multilingual Robot News Reporter
This paper proposes the building of Xiaomingbot, an intelligent, multilingual and multimodal software robot equipped with four integral capabilities: news generation, news translation, news reading and avatar animation.
Context-Driven Satirical News Generation
While mysterious, humor likely hinges on an interplay of entities, their relationships, and cultural connotations.
Data-Driven News Generation for Automated Journalism
Despite increasing amounts of data and ever improving natural language generation techniques, work on automated journalism is still relatively scarce.
