From Reddit to Wall Street: The role of committed minorities in financial collective action
收藏DataCite Commons2021-09-17 更新2024-07-28 收录
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https://figshare.com/articles/dataset/From_Reddit_to_Wall_Street_The_role_of_committed_minorities_in_financial_collective_action/15022068/1
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资源简介:
The dataset consists of processed posts and comment IDs submitted to the r/wallstreetbets Reddit subreddit from 01-01-2016 up to 03-02-2021 related to the GameStop topic.<br><br>Topic relatedness is extracted from posts' title and body, requiring one of the following to appear: "GME" or "Gamestop" (both case insensitive).<br><br>All the comments published as answers to a GME-related post are considered as GME-related too.<br><br>Alongside the IDs, we share in this dataset the set of metrics used to assess the level of identitarian participation and commitment to the GME cause.<br>IDs can be linked with data from the Reddit API to consistently match the processed metrics with the Reddit data.<br><br>For more details on data processing and content please refer to: https://arxiv.org/abs/2107.07361<br><br>Reddit data are not shared in this dataset because subjected to the Reddit API terms of use: https://www.reddit.com/wiki/api-terms.<br><br><br>Below, find the list of metrics documenting the dataset.<br><br>'pic_res_0': commitment score<br>'pic_res_1': non-commitment score<br>'predicted_class': most probable class between 0 and 1<br>'committed': True if 'predicted_class'==0, False otherwise<br>'award_count': number of received awards (At the time the data were downloaded)<br>'award_price': dollars spent in total for awading the post/comment<br>'award_most_name': most commonly assigned award<br>'liwc_we': collective term count<br>'liwc_i': individual term count<br>'liwc_identity': liwc identity value<br>'body_support': 'support' score<br>'body_knowledge': 'knowledge score<br>'body_conflict': 'conflict' score<br>'body_power': 'power' score<br>'body_similarity': 'similarity' score<br>'body_fun': 'fun' score<br>'body_status': 'status' score<br>'body_trust': 'trust' score<br>'body_identity': 'identity' score<br>'body_romance': 'romance' score<br>'body_numsentences': count of terms<br>'body_identity_binary': identity class (1 identitarian, 0 otherwise)<br>'body_identity_q0.9': identity class thresholded at the 90%<br>'body_identity_q0.85': identity class thresholded at the 85%<br>'body_identity_q0.75': identity class thresholded at the 75%<br>'body_identity_q0.5': identity class thresholded at the 50%
提供机构:
figshare
创建时间:
2021-09-17



