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Global News Popularity Insights Datset
Social Media and Networking
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Free
About
This dataset captures the popularity of news articles across various social media platforms, providing valuable insights into how news content performs online [1, 2]. It is a subset of a larger dataset, specifically designed for analysing engagement and reach of news items [1, 2]. The data includes key details about news articles and their final popularity scores on Facebook, Google+, and LinkedIn [1-3]. It serves as an excellent resource for understanding social media trends and the dissemination of news [2].
Columns
The dataset features the following columns:
- IDLink: A unique identifier for each news item [1, 2].
- Title: The title of the news item as it appeared from the official media sources [1, 2].
- Headline: The headline of the news item, also from official media sources [1, 2].
- Source: The original news outlet that published the news item [1, 2].
- Topic: The query topic used to obtain the news items from official media sources [1, 2].
- PublishDate: The date and time when the news item was published [1, 2].
- Facebook: The final popularity score of the news item on Facebook [2, 3].
- GooglePlus: The final popularity score of the news item on Google+ [2, 3].
- LinkedIn: The final popularity score of the news item on LinkedIn [2, 3]. This subset of the data is specifically noted to be missing the 'SentimentTitle' and 'SentimentHeadline' columns that are present in the full dataset [1].
Distribution
This dataset comprises approximately 37,000 news articles [1]. While exact row counts for files are not specified beyond this total, the dataset format is typically CSV [4].
- Unique Values:
- IDLink: 37,288 unique values [3].
- Title: 32,366 unique values [3].
- Headline: 34,634 unique values [3].
- Source Distribution:
- Bloomberg: 2% [3].
- Reuters: 1% [3].
- Other: 97% (from 35,990 sources) [3].
- Topic Distribution:
- Economy: 36% [3].
- Obama: 31% [3].
- Other: 33% (from 12,165 topics) [3].
- Time Range Sample (2016):
- 03/29 - 04/03: 2,239 items [5].
- 04/03 - 04/08: 2,020 items [5].
- 06/17 - 06/22: 1,650 items [5].
- 06/27 - 07/02: 2,024 items [5]. The data spans from 2016-03-29 to 2016-07-07 [6].
Usage
This dataset is ideal for:
- Analysing news popularity trends across different social media platforms [2].
- Studying the impact of news content on online engagement [2].
- Exploratory data analysis of news consumption patterns [7].
- Understanding the spread of information in digital environments.
- Developing models to predict social media reach for news articles.
- Insights into media outlets' influence and topic relevance [1, 3].
Coverage
The dataset covers an approximate 8-month period, between November 2015 and July 2016 [2]. The specific subset provided covers 29 March 2016 to 07 July 2016 [6].
It includes news items on four primary topics: economy, Microsoft, Obama, and Palestine [2], with distribution details for 'economy' and 'obama' [3]. The region of coverage is global [8].
License
CCO
Who Can Use It
- Data Scientists and Analysts: For exploratory data analysis, feature engineering, and model building related to news popularity and social media engagement [7].
- Researchers: Studying media studies, social network analysis, and public opinion.
- Marketing Professionals: To understand content virality and optimise news dissemination strategies.
- Journalists and Media Organisations: For insights into their content performance and audience engagement on social platforms.
Dataset Name Suggestions
- Social Media News Popularity
- Online News Engagement Metrics
- Digital News Dissemination Data
- News Virality on Social Platforms
- Global News Popularity Insights
Attributes
Original Data Source: News Popularity in Multiple Social Media Platforms
QUALITY