Texts

MemeTracker

Introduced in Meme-tracking and the dynamics of the news cycle2008

About this Dataset

The Memetracker corpus contains articles from mainstream media and blogs from August 1 to October 31, 2008 with about 1 million documents per day. It has 10,967 hyperlink cascades among 600 media sites.

Source: Marked Temporal Dynamics Modeling based on Recurrent Neural Network Image Source: http://blog.fabric.ch/index.php?/archives/292-Memetracker-Tracking-News-Phrases-over-the-Web.html

Source: Meme-tracking and the dynamics of the news cycle

Dataset Variants

MemeTracker

Papers1

Meme-tracking and the dynamics of the news cycle

This work develops a framework for tracking short, distinctive phrases that travel relatively intact through on-line text; developing scalable algorithms for clustering textual variants of such phrases, and identifies a broad class of memes that exhibit wide spread and rich variation on a daily basis.

Tasks

EDIT

Recommendation Systems Point Processes Combinatorial Optimization

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Statistics

Papers

1

Tasks

64

Introduced

2008

Modalities

Texts