Early detection of promoted campaigns on social media
Onur Varol, Emilio Ferrara, Filippo Menczer, Alessandro Flammini · Zenodo (CERN European Organization for Nuclear Research) · 2017
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.