|
Download README.md from SamW/HumanMOD: direct link, hf CLI and curl.
- Browser
- Download file 2.66 kB
-
https://huggingface.co/datasets/SamW/HumanMOD/resolve/main/README.md
- Command line
-
hf download hf://datasets/SamW/HumanMOD/README.md
-
curl -L -o README.md https://huggingface.co/datasets/SamW/HumanMOD/resolve/main/README.md
2.66 kB
| language: | |
| - en | |
| task_categories: | |
| - text-classification | |
| pretty_name: HumanMOD (AMCIS 2023) | |
| size_categories: | |
| - 10M<n<100M | |
| We are excited to share the release of the HumanMOD dataset, unveiled in our [AMCIS 2023 paper ](https://aisel.aisnet.org/amcis2023/sig_aiaa/sig_aiaa/3). | |
| Wang, Kanlun; Fu, Zhe; Zhou, Lina; and Zhang, Dongsong, "How Does User Engagement Support Content Moderation? A Deep Learning-based Comparative Study" (2023). AMCIS 2023 Proceedings. 3. | |
| https://aisel.aisnet.org/amcis2023/sig_aiaa/sig_aiaa/3 | |
| Dataset Summary: | |
| - The data collection was limited to public online communities to comply with the platform's privacy policy. | |
| - We leveraged a [Pushshift Reddit API](https://reddit-api.readthedocs.io/en/latest/) to scrape posts from 40 subreddits daily across four different domains from Aug 24 to October 28, 2022, resulting in 104,674 posts. | |
| - To enhance the ecological validity of the study findings, we used a [PRAW API](https://praw.readthedocs.io/en/stable/) to perform another round of data collection of the collected posts 2 months later to validate whether the post content was moderated or not. | |
| - Thereafter, we used a snowballing approach to collect the corresponding comments on all the posts. | |
| - The metadata includes post content, post time, comment content, comment time, karma score, etc. | |
| - We set a threshold for the minimum number of comments to 2 and an upper bound for the number of direct comments to 15 to facilitate the extraction of graph-based structural information. | |
| - The final dataset consists of 8,511 moderated posts and another 8,511 not moderated posts. | |
| - All the posts were commented on, with a total of 148,344 comments. | |
| Data Fields for HumanMOD_Posts dataset: | |
| - Reddit_ID: the unique identifiers for Reddit posts, which serve as the foreign keys bridging to the HumanMOD_Comments dataset. | |
| - Subreddits: the names of subreddits | |
| - Titles: the titles of Reddit posts | |
| - Body: post content, which is an extended description of a post | |
| - Author: the authors of posts | |
| - URLs: the web addresses of Reddit posts | |
| - Labels: (0) -- The post is not moderated; (1) -- The post is moderated by moderators. | |
| Data Fields for HumanMOD_Comments dataset: | |
| - Parent ID: the unique identifiers for parent comments | |
| - Comment ID: the unique identifiers for child comments, the ones that reply to the parent comments | |
| - Comment Body: the content of child comments | |
| - Score: the karma scores of child comments | |
| - Author: the authors of child comments | |
| - Post ID: the specific Reddit post identifiers to which the child comment should be associated, which serve as the foreign keys bridging to the HumanMOD_Posts dataset. | |