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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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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316 Views

 

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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896 Views

The ASU/UNSW-CICMOD01 was developed to support the novel Cyber Influence Campaign (CIC) model and ontology. It contains full captures of specific tags (hashtags) regardling individual cyber influence campaings scrapped from Twitter and Instagram.  

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578 Views

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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507 Views

One best circuit for the electronics choke for tube light

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99 Views

One new circuit design is invented by me for electronic fan regulator which is cheap and best

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95 Views

This database is provided for the Fake News Detection task. In addition to being used in other tasks of detecting fake news, it can be specifically used to detect fake news using the Natural Language Inference (NLI).

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8926 Views

This dataset includes 24,201,654 tweets related to the US Presidential Election on November 3, 2020, collected between July 1, 2020, and November 11, 2020. The related party name and sentiment scores of tweets, also the words that affect the score were added to the data set.

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6542 Views

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