Machine Learning: A Revolution of News Writing and Digital Era

Abstract

Aim of this study is systematic analysis of machine learning (ML) on the journalism and news writing. In today’s digital era a full understanding of the effects of ML integration in many dimensions of the media landscape is provided through many literatures that highlights key themes and ideas. This study examines dynamics, content generation and curation and use of nature language processing (NLP) in news writing. The theoretical foundations is ML in media sector, and ethical concerns. The will study explains how ML can change the media industry by making automated data analysis possible through (NLP), enhancing content creation and curation, personalising user experiences via ML. This study will also examine efficiency, customisation, and creativity are advantages of ML, privacy issues, biases displacement, and news bias all require careful study. The results highlight the need for moral guidelines, skill-updating techniques, and ethical ML practises. The study shall contribute to the corpus of existing knowledge and shapes the course of AI and ML which will take in the media industry by flagging research gaps.