An anonymized version of the dataset and codes used in our paper is available for the research community.
Methodology Dataset: This includes various lists of websites used in the machinery. (a) Websites from Alexa.com (FileUrlLabels.csv), (b) Hyper-partisan websites (HPWs) list by Buzzfeed (FileHPWsAlexaRankCookies.csv), (c) Disconnect List (FileServicesDisconnectP.csv) and (d) WhoTracks.me List (FileWhoTracksMeDomains.csv). For more details check GITHUB page.
Personas (trained) Dataset: Stable personas (.tar) trained by consecutively visiting top Alexa ranking websites (listed in FileUrlLabels.csv) for different demographics. We include here single feature personas such as Men, Women, Senior and Youth.
Cookies and HTTP Logs Dataset: This is an extraction in csv format which stores cookies and HTTP logs when personas as loaded on various HPWs (FileHPWsAlexaRankCookies.csv).
Codes: Codes and additional information of above mentined files are available at GITHUB
You can find the format of the dataset from here.
If you are interested in using this data, please fill the form to . Request specific data to get the link where you can download the data.
We are sharing the dataset under the terms and conditions specified here below. Please note that submitting the form indicates that you accept the terms and conditions of the data. In the form, please indicate which part of the dataset you need. If you do not get any email notification for your logged request within 24 hours, please e-mail us at netsys.noreply[at]gmail.com.You will use the data solely for the purpose of non-profit research or non-profit education.
You will respect the privacy of end users and organizations that may be identified in the data. You will not attempt to reverse engineer, decrypt, de-anonymize, derive or otherwise re-identify anonymized information.
You will not distribute the data beyond your immediate research group.
If you create a publication using our datasets, please cite our papers as follows.
@inproceedings{agarwal2020stop, title={Stop Tracking Me Bro! Differential Tracking Of User Demographics On Hyper-partisan Websites}, author={Agarwal, Pushkal and Joglekar, Sagar and Papadopoulos, Panagiotis and Sastry, Nishanth and Kourtellis, Nicolas}, booktitle={Proceedings of the 2020 world wide web conference}, year={2020} }