Truthfulness Stance Detection on Claim-Tweet (TSD-CT)

Under the final threshold, TSD-CT contains 5,331 finalized claim-tweet pairs (including 269 screening and training pairs) covering 2,201 unique factual claims. 
The label distribution is as follows: 2,104 (39.47%) are labeled as Positive, 882 (16.57%) as Neutral/No Stance, 883 (16.54%) as Negative, 309 (5.80%) as Different Topics, and 1,153 (21.62\%) as Problematic. 
The claim veracity is also diverse, with 722 claims labeled as false (32.80%), 353 as pants-fire (16.04%), 340 as barely-true (15.45%), 292 as half-true (13.27%), 287 as mostly-true (13.04%), and 207 as true (9.40%). On average, each claim–tweet pair contains 34.61 tokens and 261.76 characters. Additionally, 2,169 pairs (40.71%) include at least one hyperlink, indicating external reference or contextual support. Among all the 845 topics, the dataset is dominated by discussions on coronavirus (1,573 pairs; 29.51%) and public health (870; 16.32%), followed by Donald Trump (583; 10.94%), elections (438; 8.22%), economy (390; 7.32%), health care (329; 6.17%), crime (295; 5.54%), government regulation (255; 4.78%), drugs (240; 4.50\%), science (239; 4.49\%) and so on.

Fields/Columns

1. id:

   • Type: Integer or String
   • Description: Unique identifier for each claim or record.

2. claim_author:

   • Type: String
   • Description: The author of the claim.

3. claim:

   • Type: String
   • Description: The text of the claim being analyzed.

4. tweet:

   • Type: String (always "REDACTED")
   • Description: Placeholder for the tweet text, which has been redacted for privacy.

5. screening:

   • Type: String or Boolean
   • Description: Indicates whether the claim has been screened.

6. answered:

   • Type: Boolean
   • Description: Indicates whether the claim has been answered or fact-checked.

7. tweet_url_title:

   • Type: String
   • Description: Title or description of the tweet's URL, if applicable.

8. claim_timestamp:

   • Type: DateTime
   • Description: Timestamp when the claim was made.

9. tweet_timestamp:

   • Type: DateTime
   • Description: Timestamp when the associated tweet was posted.

10. tweet_id:

    • Type: String or Integer
    • Description: Unique identifier for the tweet.

11. tweet_userhandle:

    • Type: String
    • Description: Twitter handle of the user who posted the tweet.

12. retweet_count:

    • Type: Integer
    • Description: Number of retweets for the tweet.

13. reply_count:

    • Type: Integer
    • Description: Number of replies to the tweet.

14. like_count:

    • Type: Integer
    • Description: Number of likes for the tweet.

15. quote_count:

    • Type: Integer
    • Description: Number of quote tweets for the tweet.

16. claim_source:

    • Type: String
    • Description: Source of the claim (e.g., news outlet, individual, etc.).

17. claim_verdict:

    • Type: String
    • Description: Verdict of the claim (e.g., true, false, misleading).

18. factcheck_timestamp:

    • Type: DateTime
    • Description: Timestamp when the claim was fact-checked.

19. claim_review_summary:

    • Type: String
    • Description: Summary of the claim review.

20. claim_review:

    • Type: String
    • Description: Detailed review of the claim.

21. factcheck_url:

    • Type: String
    • Description: URL to the fact-checking article or source.

22. claim_tags:

    • Type: List of Strings
    • Description: Tags or categories associated with the claim.

23. claimbuster_score:

    • Type: Float
    • Description: Score assigned by ClaimBuster, indicating the claim's importance or likelihood of being fact-checked.

24. pair_id:

    • Type: String or Integer
    • Description: Identifier for paired records (e.g., claim and fact-check).

25. factcheck_author_url:

    • Type: String
    • Description: URL to the profile of the fact-checking author.

26. factcheck_post_time:

    • Type: DateTime
    • Description: Time when the fact-checking post was published.

27. factcheck_author_info:

    • Type: String
    • Description: Information about the fact-checking author.

28. subset:

    • Type: String
    • Description: Subset or category of the dataset (e.g., training, testing, validation).

29. annotator_agreement:

    • Type: Float or String
    • Description: Claim-tweet pair label. One of Positive (1), Neutral/No Stance (0), Negative (-1), Different Topics (2), Problematic (3).