NewsDataHub Blog

We analyzed over 11,000 articles about electric vehicles from 400 different news sources, focusing on five key models: the Tesla Model 3 and Model Y, Chevrolet Bolt EV, Ford F-150 Lightning, and Tesla Cybertruck. This article dives into the implementation details of our analysis framework. Solution Overview Data Collection: We fetch articles via NewsDataHub API in monthly batches of 2,000 articles per month, using a query to capture mentions of specific EV models.

Photo by ThisisEngineering on Unsplash Media attention in the automotive industry follows interesting patterns, with certain events creating massive waves while others not receiving as much coverage. Our analysis of over 11,000 news articles from 400+ unique news outlets reveals some surprising insights into what drives news media coverage - insights that can help industry leaders, investors, and marketers better understand and navigate media dynamics in the automotive sector. Product Launches: The Media Spotlight Champions

Photo by Markus Spiske from Pexels: https://www.pexels.com/photo/coffee-cup-smartphone-notebook-97050/ This study analyzes media coverage patterns of major electric vehicle models by examining more than 11,000 articles from over 400 news sources published between 2020 and 2024. The research tracks coverage frequency of five models: the Tesla Model Y, Tesla Model 3, Ford F-150 Lightning, Chevrolet Bolt, and Tesla Cybertruck, correlating coverage patterns with significant industry events. Some of the most striking findings: Tesla's Model 3 consistently dominated headlines with 30-44% of coverage throughout the study period, but Ford proved it could steal the show – its F-150 Lightning captured an impressive 78% of coverage during its launch. Meanwhile, the Chevrolet Bolt's media presence steadily declined, dropping from 9.79% in 2020 to just 2.15% in 2024, highlighting how quickly the EV media landscape can change. The story that emerges isn't just about vehicles – it's about how automakers navigate the modern media landscape, where a tweet from a CEO can generate as much buzz as a new feature announcement.

Basic Search The q parameter allows you to search through articles using specific terms and boolean operators. 1. Boolean Operators You can combine search terms using AND and OR operators: AND operator - Returns results containing all specified terms: https://api.newsdatahub.com/v1/news?q=apple AND banana This ensures both terms appear in results OR operator - Returns results containing any of the specified terms: https://api.newsdatahub.com/v1/news?q=apple OR banana Results will contain either or both terms Note: OR is the default operator when no boolean operator is specified. For example:

In this article, we’re going to walk through building a simple but useful cryptocurrency news aggregator app that uses NewsDataHub and CoinGecko APIs. This article is aimed at a beginner-level developer—feel free to skip any sections if you think they don’t add value to your learning experience. You can also see what the final project code looks like here: https://github.com/newsdatahub/crypto-news-aggregator You can see what the production version of this app looks like right here: https://newsdatahub.com/crypto

This guide explains how to paginate through the results when using NewsDataHub API. NewsDataHub API is a service that provides news data through a RESTful API interface. It implements cursor-based pagination to efficiently handle large datasets⁠, allowing developers to retrieve news articles in manageable batches. Each response includes a set of articles where each article object contains details like title, description, publication date, source, content, keywords, topics, and sentiment analysis⁠. The API uses a cursor parameter for seamless navigation through results⁠, and provides comprehensive documentation for advanced features like search parameters and filtering options⁠.