Early detection of promoted campaigns on social media

Please cite our paper as follows, when you are using our dataset: @article{varol2017early,<br> Author = {Onur Varol and Emilio Ferrara and Filippo Menczer and Alessandro Flammini},<br> Title = {Early Detection of Promoted Campaigns on Social Media},<br> Journal = {EPJ Data Science},<br> Url = {}<br> Note = {In press},<br> Year = {2017},<br> } **** FORMAT **** Information about promoted and organics trends used in this project available in the index file: <br> `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:<br> Format: {trend_name} \t {label} \t {trending_tstamp}<br> * {trend-name} is the identifier of different trends. Information about each trend can be found in the index file. <br> * label: 1 (organic), 0 (promoted)<br> * trending_tstamp provides a UNIX timestamp of the time particular hashtag is trended. tweet-ids/tweet-ids_{trend-name}.dat.gz:<br> Format: Each line contains a single tweet-id<br> * {trend-name} is the identifier of different trends. Information about each trend can be found in the index file. timeseries/timeseries<br> Format: {feature-name} \t {timeseries}<br> * {feature-name} represent different features extracted for a given trend<br> * {timeseries} contain 120 comma seperated numerical value. Trending point locates at index 60.