MLModeler5 at SemEval-2023 Task 3: Detecting the Category and the Framing Techniques in Online News in a Multi-lingual Setup
Arjun Khanchandani, Niti Jain, Jatin Bedi · 2023
Throughout the ages, we have seen various leaders, dictators, politicians, CEOs, companies, sports agencies, organizations like the UN harness the power of news articles to shape and influence the minds of the people of the world.Various persuasion and framing techniques are employed while writing articles to achieve this aim.It has become necessary now, more so than ever, to identify these techniques and strategies to help understand these articles, reduce the spread of fake news, stop propaganda stories and ensure that people of the world are well informed.To help achieve these tasks, we have implemented RoBERTa and AL-BERT models for Subtask 1/2 Task 3 SemEval-2023.Both these models are BERT-based architectures.The results of these models are validated on the dataset provided by the organizers of this task.