English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

The abundance of information on social media has increased the necessity ofaccurate real-time rumour detection. Manual techniques of identifying andverifying fake news generated by AI tools are impracticable and time-consuminggiven the enormous volume of information generated every day. This has sparkedan increase in interest in creating automated systems to find fake news on theInternet. The studies in this research demonstrate that the BERT and RobertAmodels with fine-tuning had the best success in detecting AI generated news.With a score of 98%, tweaked RobertA in particular showed excellent precision.In conclusion, this study has shown that neural networks can be used toidentify bogus news AI generation news created by ChatGPT. The RobertA and BERTmodels' excellent performance indicates that these models can play a criticalrole in the fight against misinformation.

Implementing BERT and fine-tuned RobertA to detect AI generated news by ChatGPT