News Popularity in Multiple Social Media Platforms

Donated on 2/19/2018

Large data set of news items and their respective social feedback on multiple platforms: Facebook, Google+ and LinkedIn.

Dataset Characteristics

Multivariate, Time-Series, Text

Subject Area

Computer Science

Associated Tasks

Regression

Feature Type

Integer, Real

# Instances

93239

# Features

-

Dataset Information

Additional Information

This is a large data set of news items and their respective social feedback on multiple platforms: Facebook, Google+ and LinkedIn. The collected data relates to a period of 8 months, between November 2015 and July 2016, accounting for about 100,000 news items on four different topics: economy, microsoft, obama and palestine. This data set is tailored for evaluative comparisons in predictive analytics tasks, although allowing for tasks in other research areas such as topic detection and tracking, sentiment analysis in short text, first story detection or news recommendation. Further details on the process of building the data set are provided in the article mentioned in the 'Relevant Papers' section. An .R file is provided to provide a simple introduction to handling the data set.

Has Missing Values?

No

Variables Table

Variable NameRoleTypeDescriptionUnitsMissing Values
no
no
no
no
no
no
no
no
no
no

0 to 10 of 11

Additional Variable Information

####################### # VARIABLES OF NEWS DATA # ####################### IDLink (numeric): Unique identifier of news items Title (string): Title of the news item according to the official media sources Headline (string): Headline of the news item according to the official media sources Source (string): Original news outlet that published the news item Topic (string): Query topic used to obtain the items in the official media sources PublishDate (timestamp): Date and time of the news items' publication SentimentTitle (numeric): Sentiment score of the text in the news items' title SentimentHeadline (numeric): Sentiment score of the text in the news items' headline Facebook (numeric): Final value of the news items' popularity according to the social media source Facebook GooglePlus (numeric): Final value of the news items' popularity according to the social media source Google+ LinkedIn (numeric): Final value of the news items' popularity according to the social media source LinkedIn ################################# # VARIABLES OF SOCIAL FEEDBACK DATA # ################################# IDLink (numeric): Unique identifier of news items TS1 (numeric): Level of popularity in time slice 1 (0-20 minutes upon publication) TS2 (numeric): Level of popularity in time slice 2 (20-40 minutes upon publication) TS... (numeric): Level of popularity in time slice ... TS144 (numeric): Final level of popularity after 2 days upon publication

Reviews

There are no reviews for this dataset yet.

Login to Write a Review
Download
0 citations
12352 views

Creators

Lus Torgo

Nuno Moniz

License

By using the UCI Machine Learning Repository, you acknowledge and accept the cookies and privacy practices used by the UCI Machine Learning Repository.

Read Policy