Overtone Newsworthiness Content Scores Database

Is a piece of content worth your time? We check for newsworthiness of your content – in your CMS, on your website – or others' content (in the news, through wires, on PR, via marketing campaigns). We can tell if the article is likely to be picked up as newsworthy or not. Is a journalist going to respond to the piece? Is a reader going to trust the content? Data uniqueness: we use custom built and trained NLP algorithms to assess qualitative metrics inherent in text content. We focus on what's in the text, not metadata such as publication or engagement. Our AI algorithms are co-created by NLP & journalism experts. Our datasets have all been human-reviewed and labeled. Dataset: CSV containing URL and/or body text, with attributed scoring as an integer and model confidence as a percentage. We ignore metadata such as author, publication, date, word count, shares and so on, to provide a clean and maximally unbiased assessment of content. Our data is provided in CSV/RSS/JSON format. One row = one scored article. CSV contains URL and/or body text, with attributed scoring as an integer and model confidence as a percentage. Integrity indicators provided as integers on a 1–5 scale. We also have custom models with 35 categories that can be added on request. Data sourcing: public websites, crawlers, scrapers, other partnerships where available. We generally can assess content behind paywalls as well as without paywalls. We source from ~4,000 news outlets, examples include: Bloomberg, CNN, BCC are one each. Countries: all English-speaking markets world-wide. Includes English-language content from non English majority regions, such as Germany, Scandinavia, Japan. Also available in Spanish on request. Use-cases: assessing the implicit integrity and reliability of an article. There is correlation between integrity and human value: we have shown that articles scoring highly according to our scales show increased, sustained, ongoing end-user engagement. Clients also use this to assess journalistic output, publication relevance and to create datasets of 'quality' journalism. Overtone provides a range of qualitative metrics for journalistic, newsworthy and long-form content. We find, highlight and synthesise content that shows added human effort and, by extension, added human value.

搜集汇总

背景与挑战

背景概述

Overtone Newsworthiness Content Scores Database通过定制化NLP算法评估文本内容的新颖性和可信度，忽略元数据以提供客观评分。数据集以CSV等格式提供，包含文章URL、正文、整数评分和置信度百分比，数据源自全球英语媒体，用于分析文章完整性和新闻价值。