ICAR Research Data Repository for Knowledge Management
Replication Data for Tiplines to Uncover Misinformation on Encrypted Platforms: A Case Study of the 2019 Indian General Election on WhatsApp
Harvard Dataverse (Africa Rice Center, Bioversity International, CCAFS, CIAT, IFPRI, IRRI and WorldFish)
View Archive Info| Field | Value | |
| Title |
Replication Data for Tiplines to Uncover Misinformation on Encrypted Platforms: A Case Study of the 2019 Indian General Election on WhatsApp
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| Identifier |
https://doi.org/10.7910/DVN/ZQWG02
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| Creator |
Kazemi, Ashkan
Garimella, Kiran Shahi, Gautam Kishore Gaffney, Devin Hale, Scott A. |
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| Publisher |
Harvard Dataverse
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| Description |
Metadata on the times at which text and image messages were submitted to a tipline and public groups along with similarity/clustering data grouping messages. Please see the README file and the published paper for further details. Please cite the following publication if you use this data: Kazemi, A., Garimella, K., Shahi, G. K., Gaffney, D., & Hale, S. A. (2022). Research note: Tiplines to uncover misinformation on encrypted platforms: A case study of the 2019 Indian general election on WhatsApp. Harvard Kennedy School (HKS) Misinformation Review. https://doi.org/10.37016/mr-2020-91 |
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| Subject |
Computer and Information Science
Social Sciences |
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| Contributor |
Hale, Scott
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