Social Sciences
AI Ethics Global Document Collection
Daniel Schiff, Jason Borenstein, Justin Biddle, & Kelly Laas
Documents in the dataset were published between January 2016 through July 2019
This dataset is associated with a (forthcoming) paper in IEEE Transactions on Technology and Society, entitled "AI Ethics in the Public, Private, and NGO Sectors: A Review of a Global Document Collection.
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This dataset is a set of eighteen directed networks that represents message exchanges among Twitter accounts during eighteen crisis events. The dataset comprises 645,339 anonymized unique user IDs and 1,396,709 edges that are labeled with respect to Plutchik's basic emotions (anger, fear, sadness, disgust, joy, trust, anticipation, and surprise) or "neutral" (if a tweet conveys no emotion).
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The dataset is composed of 595,460 users, 14,273,311 links, 1,345,913 diffusion cascades, and 1,311,498 tags from Mar 24 to Apr 25, 2012. In order to capture more information cascades, Weng et al. set the tracking objects as a group of users who are connected with mutual following. Thus, the follower network is an undirected network made up of a number of disconnected components.
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Modern science is build on systematic experimentation and observation. The reproducibility and replicability of the experiments and observations are central to science. However, reproducibility and replicability are not always guaranteed, sometimes referred to as 'crisis of reproducibility'. To analyze the extent of the crisis, we conducted a survey on the state of reproducibility in remote sensing. This survey was conducted as an online survey. The answers of the respondents are saved in this dataset in full-text CSV format.
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