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FMlZuZ8b | 2 | 1,577,836,858,453 | 2 | TheDonald | false | 0 | Queue the, "...And he's a terrorist.", meme. | false | 2020-01-01 | 6201a88cb31263f1ad073d11a161d28d | [
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FMlZuZ8c | 2 | 1,577,836,894,284 | 2 | TheDonald | false | 0 | Most of the commenters there are not Americans. Some of them are paid to foment dissent by foreign governments. Reddit is asshoe. | false | 2020-01-01 | 4d685104b75832a93d380a7682e49434 | [
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FMlZuZ8d | 9 | 1,577,836,900,803 | 9 | TheDonald | false | 0 | The fact that users felt like they didn't know that the basic tax filing is free tells me that there are plenty of rubes will continue to pay for TurboTax's added services no matter what the IRS does. | false | 2020-01-01 | a0be10e61102803d94757de6247a8a44 | [
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FMlZuZ8f | 1 | 1,577,836,958,731 | 1 | TheDonald | true | 0 | false | 2020-01-01 | null |
||
FMlZuZ8g | 2 | 1,577,836,977,442 | 2 | TheDonald | false | 0 | He's just out of touch. Just like the MSM. Don't take it personal. | false | 2020-01-01 | 7ff5eba656658c45d2d4c3c0756b8a76 | [
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FMlZuZ8i | 2 | 1,577,837,024,165 | 2 | TheDonald | false | 0 | You don't even have to paint horns on this thumbnail for Biden to look like a demon. | false | 2020-01-01 | 7ff5eba656658c45d2d4c3c0756b8a76 | [
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FMlZuZ8j | 1 | 1,577,837,031,465 | 1 | TheDonald | false | 0 | The Iranians are mad Trump isn't sending them pallets of cash like barry did. | false | 2020-01-01 | a0be10e61102803d94757de6247a8a44 | [
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FMlZuZCi | 5 | 1,577,837,191,176 | 5 | TheDonald | false | 0 | The biggest canard is “tax deductible” as a selling point. It’s not what most people think it means. | false | 2020-01-01 | 70f12c5df19ad74160c5a4dca0c45692 | [
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FMlZuZCk | 2 | 1,577,837,215,851 | 2 | TheDonald | false | 0 | I'm Stealin' that line !
Upvote for making me laugh ! | false | 2020-01-01 | 0d4a958980806f82ef195c83c9c2e230 | [
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Dataset Summary
iDRAMA-Scored-2024 is a large-scale dataset containing approximately 57 million social media posts from web communities on social media platform, Scored.
Scored serves as an alternative to Reddit, hosting banned fringe communities, for example, c/TheDonald, a prominent right-wing community, and c/GreatAwakening, a conspiratorial community.
This dataset contains 57M posts from over 950 communities collected over four years, and includes sentence embeddings for all posts.
Scored platform: Scored
Link to paper: Here
License: CC BY-NC-SA 4.0
Repo-links Purpose Zenodo From Zenodo, researchers can download liteversion of this dataset, which includes only 57M posts from Scored (not the sentence embeddings).Github The main repository of this dataset, where we provide code-snippets to get started with this dataset. Huggingface On Huggingface, we provide complete dataset with senetence embeddings.
Quick start with Datasets
Install Datasets module by pip install datasets and then use the following code:
from datasets import load_dataset
# Download & Load complete dataset
dataset = load_dataset("iDRAMALab/iDRAMA-scored-2024")
# Load dataset with specific config
dataset = load_dataset("iDRAMALab/iDRAMA-scored-2024", name="comments-2020")
More code-snippets to load the different variant of datasets efficiently are available on Github rpository.
Dataset Info
Dataset is organized by yealry-comments and submissions -- comments-2020, comments-2021, comments-2022, comments-2023, submissions-2020-t0-2023.
| Config | Data-points |
|---|---|
| comments-2020 | 12,774,203 |
| comments-2021 | 16,097,941 |
| comments-2022 | 12,730,301 |
| comments-2023 | 8,919,159 |
| submissions-2020-to-2023 | 6,293,980 |
Top-15 communities in our dataset with total number of posts are shown as following:
| Community | Number of posts |
|---|---|
| c/TheDonald | 41,745,699 |
| c/GreatAwakening | 6,161,369 |
| c/IP2Always | 3,154,741 |
| c/ConsumeProduct | 2,263,060 |
| c/KotakuInAction2 | 747,215 |
| c/Conspiracies | 539,164 |
| c/Funny | 371,081 |
| c/NoNewNormal | 322,300 |
| c/OmegaCanada | 249,316 |
| c/Gaming | 181,469 |
| c/MGTOW | 175,853 |
| c/Christianity | 124,866 |
| c/Shithole | 98,720 |
| c/WSBets | 66,358 |
| c/AskWin | 39,308 |
Submission data fields are as following:
- `uuid`: Unique identifier associated with each sub- mission (uuid).
- `created`: UTC timestamp of the submission posted to Scored platform.
- `date`: Date of the submission, converted from UTC timestamp while data curation.
- `author`: User of the submission. (Note -- We hash the userames for ethical considerations.)
- `community`: Name of the community in which the submission is posted to.
- `title`: Title of the submission.
- `raw_content`: Body of the submission.
- `embedding`: Generated embedding by combining "title" and "raw_content," with 768 dimensional vector with fp32-bit.
- `link`: URL if the submission is a link.
- `type`: Indicates whether the submission is text or a link.
- `domain`: Base domain if the submission is a link.
- `tweet_id`: Associated tweet id if the submission is a Twitter link.
- `video_link`: Associated video link if the submission is a video.
- `score`: Metric about the score of sample submission.
- `score_up`: Metric about the up-votes casted to sample submission.
- `score_down`: Metric about the down-votes casted to sample submission.
- `is_moderator`: Whether the submission is created by moderator or not.
- `is_nsfw`: True, if the submission is flagged not safe for work.
- `is_admin`: Boolean flag about whether the submission is posted by admin.
- `is_image`: Boolean flag if the submission is image type of media.
- `is_video`: Boolean flag if the submission is type of video.
- `is_twitter`: Boolean flag if the submission is a twitter (now, named as X) link.
- `is_deleted`: Whether the submission was deleted as a moderation measure or not. If yes, the "title" and "raw_content" could be empty string.
- `post_flair_text` & `post_flair_class`: Similar to Reddit submission flairs, which is a way to tag a submission with a certain keywords.
Comments data fields are as following:
- `uuid`
- `date`
- `author`
- `community`
- `raw_content`
- `created`
- `embedding`
- `score`
- `score_up`
- `score_down`
- `is_moderator`
- `is_deleted`
Read more about the fields and methodology from the paper.
Dataset fields Nullability:
- If field (column) doesn't have a value, the fields are left with an empty value.
- For instance, in the case of post deletion as a moderation measure,
titleof submission can have no value. - We do not explicit mark value as "Null" for any of the column in our dataset except
embeddingcolumn.
- For instance, in the case of post deletion as a moderation measure,
- Only, embedding column contains explicit "Null" value.
For eliminating empty records using pandas, the code looks like below:
# Load dataset for `comments-2020` config
dataset = load_dataset("iDRAMALab/iDRAMA-scored-2024", name="comments-2020")
pd_df = dataset["train"].to_pandas()
# Remove all empty records based on empty `title` column
pd_df = pdf_df[pd_df.title != ""]
# Remove all records which do not have `author` information
pd_df = pdf_df[pd_df.author != ""]
# Remove all records which do not have generated embeddings
pd_df = pdf_df[~pd_df.embedding.isna()]
Version
- Maintenance Status: Active
- Version Details:
- Current Version: v1.0.0
- First Release: 05/16/2024
- Last Update: 05/16/2024
Authorship
This dataset is published at "AAAI ICWSM 2024 (INTERNATIONAL AAAI CONFERENCE ON WEB AND SOCIAL MEDIA)" hosted at Buffalo, NY, USA.
- Academic Organization: iDRAMA Lab
- Affiliation: Binghamton University, Boston University, University of California Riverside
Licensing
This dataset is available for free to use under terms of the non-commercial license CC BY-NC-SA 4.0.
Citation
@inproceedings{patel2024idrama,
title={iDRAMA-Scored-2024: A Dataset of the Scored Social Media Platform from 2020 to 2023},
author={Patel, Jay and Paudel, Pujan and De Cristofaro, Emiliano and Stringhini, Gianluca and Blackburn, Jeremy},
booktitle={Proceedings of the International AAAI Conference on Web and Social Media},
volume={18},
pages={2014--2024},
year={2024},
issn = {2334-0770},
doi = {10.1609/icwsm.v18i1.31444},
}
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