Software Open Access

Software for "The Good, the Bad and the Bait: Detecting and Characterizing Clickbait on YouTube"

Savvas Zannettou; Sotirios Chatzis; Kostantinos Papadamou; Michael Sirivianos

This is the software used for the research "The Good, the Bad and the Bait: Detecting and Characterizing Clickbait on YouTube", with DOI: 10.1109/SPW.2018.00018.

The dataset of this study may be found here.

 

Files (13.0 kB)
Name Size
clickbait_detection_model.zip
md5:94c28a25ecc59151c22fbb600a0788ed 		13.0 kB Download
77
16
views
downloads
All versions This version
Views 7778
Downloads 1616
Data volume 208.3 kB208.3 kB
Unique views 6566
Unique downloads 1515
More info on how stats are collected.
Indexed in
Publication date:
September 11, 2019
DOI:
10.5281/zenodo.3405484

Zenodo DOI Badge

DOI 

10.5281/zenodo.3405484

Markdown 

[![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.3405484.svg)](https://doi.org/10.5281/zenodo.3405484)

reStructedText 

.. image:: https://zenodo.org/badge/DOI/10.5281/zenodo.3405484.svg
   :target: https://doi.org/10.5281/zenodo.3405484

HTML 

<a href="https://doi.org/10.5281/zenodo.3405484"><img src="https://zenodo.org/badge/DOI/10.5281/zenodo.3405484.svg" alt="DOI"></a>

Image URL 

https://zenodo.org/badge/DOI/10.5281/zenodo.3405484.svg

Target URL 

https://doi.org/10.5281/zenodo.3405484

Grants:
European Commission:
  • ENCASE - EnhaNcing seCurity And privacy in the Social wEb: a user centered approach for the protection of minors (691025)
License (for files):
Creative Commons Attribution 4.0 International

Versions

Version 1 10.5281/zenodo.3405484 Sep 11, 2019
Cite all versions? You can cite all versions by using the DOI 10.5281/zenodo.3405483. This DOI represents all versions, and will always resolve to the latest one. Read more.

Share

Cite as

Export