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 paper as follows.
@inproceedings{10.1145/3366423.3380109, author = {Silva, M\'{a}rcio and Santos de Oliveira, Lucas and Andreou, Athanasios and Vaz de Melo, Pedro Olmo and Goga, Oana and Benevenuto, Fabricio}, title = {Facebook Ads Monitor: An Independent Auditing System for Political Ads on Facebook}, year = {2020}, isbn = {9781450370233}, publisher = {Association for Computing Machinery}, address = {New York, NY, USA}, url = {https://doi.org/10.1145/3366423.3380109}, doi = {10.1145/3366423.3380109}, booktitle = {Proceedings of The Web Conference 2020}, pages = {224–234}, numpages = {11}, keywords = {Misinformation, political ads, Facebook, transparency mechanisms}, location = {Taipei, Taiwan}, series = {WWW ’20} }