Row 64402
Content Data
This page contains data entry 64402 from the Axioma AXP content repository. The structured data below represents the complete record for this entry.
I'm no journalism expert, but I know there are certain types of writing styles and phrasing that are certainly signs of bias. That could contribute to some sort of score. You can also train an AI to compare two different news articles about the same subject and have it callout discrepancies/differences maybe. Like if a liberal paper said "the candidate said free apples for all" and the conservative paper said "the candidate said free oranges for people named Tom," you could then have the AI point out the key differences. It's not perfect, but something worth attempting?
| Field | Value |
|---|---|
| text | I'm no journalism expert, but I know there are certain types of writing styles and phrasing that are certainly signs of bias. That could contribute to some sort of score. You can also train an AI to compare two different news articles about the same subject and have it callout discrepancies/differences maybe. Like if a liberal paper said "the candidate said free apples for all" and the conservative paper said "the candidate said free oranges for people named Tom," you could then have the AI poin… |
| label | r/chatgpt |
| dataType | comment |
| communityName | r/ChatGPT |
| datetime | 2024-05-23 |
| username_encoded | Z0FBQUFBQm5Lak1iaXZZeGJlbGt4UkdCSmp0bmZSVWJmTWk1WnBVbzZ2WWlNSTNuUTJUUUN5ZDFDWjVzVGhoUXlZVG54WUtpS0JxdTNtbzhfY1JHNjhVYmZpVGU1VDRlVHc9PQ== |
| url_encoded | Z0FBQUFBQm5Lak9yN0ZTcVpmN1YzaTdTUV92amxpUlBlMjJMbDlrN1pZOGtuUlZORE5qTElwS0dyejZnMGM3S0lfY3pYdG9BN0VoVldzemRZNkRHb1ZaM0EwN1ctZDdnc2ZEYlBHbzZjRUZrZlozOVpzWWxKczU4ZDBsdVNsNzhhTkJUdlp5NW1GdFVqczVBUmhOYks3Q2pEUVpldU5STmdrZjZtZ0F1enNNSnlhdnVqal9iWm1ZLUdNd0VUbWdabGhUdkg3em1hM1NETmVoRndrclR2OHJ5NGRjMXlaS0tDZz09 |
Raw Record
{
"text": "I'm no journalism expert, but I know there are certain types of writing styles and phrasing that are certainly signs of bias. That could contribute to some sort of score. You can also train an AI to compare two different news articles about the same subject and have it callout discrepancies/differences maybe. Like if a liberal paper said \"the candidate said free apples for all\" and the conservative paper said \"the candidate said free oranges for people named Tom,\" you could then have the AI point out the key differences. It's not perfect, but something worth attempting?",
"label": "r/chatgpt",
"dataType": "comment",
"communityName": "r/ChatGPT",
"datetime": "2024-05-23",
"username_encoded": "Z0FBQUFBQm5Lak1iaXZZeGJlbGt4UkdCSmp0bmZSVWJmTWk1WnBVbzZ2WWlNSTNuUTJUUUN5ZDFDWjVzVGhoUXlZVG54WUtpS0JxdTNtbzhfY1JHNjhVYmZpVGU1VDRlVHc9PQ==",
"url_encoded": "Z0FBQUFBQm5Lak9yN0ZTcVpmN1YzaTdTUV92amxpUlBlMjJMbDlrN1pZOGtuUlZORE5qTElwS0dyejZnMGM3S0lfY3pYdG9BN0VoVldzemRZNkRHb1ZaM0EwN1ctZDdnc2ZEYlBHbzZjRUZrZlozOVpzWWxKczU4ZDBsdVNsNzhhTkJUdlp5NW1GdFVqczVBUmhOYks3Q2pEUVpldU5STmdrZjZtZ0F1enNNSnlhdnVqal9iWm1ZLUdNd0VUbWdabGhUdkg3em1hM1NETmVoRndrclR2OHJ5NGRjMXlaS0tDZz09"
}
Entry Information
- Entry ID: 64402
- Repository: Axioma AXP
- Dataset: arrmlet/reddit_dataset_36
- Total Entries: 100,000