Early detection of promoted campaigns on social media
- 1. School of Informatics and Computing, Indiana University, Bloomington, IN, USA
Description
Please cite our paper as follows, when you are using our dataset:
@article{varol2017early,
Author = {Onur Varol and Emilio Ferrara and Filippo Menczer and Alessandro Flammini},
Title = {Early Detection of Promoted Campaigns on Social Media},
Journal = {EPJ Data Science},
Url = {}
Note = {In press},
Year = {2017},
}
**** FORMAT ****
Information about promoted and organics trends used in this project available in the index file:
`trend_information.dat`. We also provide `tweet-id` for each tweets used in our experiments and `timeseries` of features for each time window.
trend_information.dat:
Format: {trend_name} \t {label} \t {trending_tstamp}
* {trend-name} is the identifier of different trends. Information about each trend can be found in the index file.
* label: 1 (organic), 0 (promoted)
* trending_tstamp provides a UNIX timestamp of the time particular hashtag is trended.
tweet-ids/tweet-ids_{trend-name}.dat.gz:
Format: Each line contains a single tweet-id
* {trend-name} is the identifier of different trends. Information about each trend can be found in the index file.
timeseries/timeseries
Format: {feature-name} \t {timeseries}
* {feature-name} represent different features extracted for a given trend
* {timeseries} contain 120 comma seperated numerical value. Trending point locates at index 60.
Files
LICENSE.CC-BY-NC-ND-4.0.txt
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