task_categories:text-classification size_categories:1K<n<10K license:cc-by-4.0 twitter social_science misinformation fake_news conspiracy_theory region:us
---
license: cc-by-4.0
size_categories:
- 1K<n<10K
task_categories:
- text-classification
tags:
- twitter
- social_science
- misinformation
- fake_news
- conspiracy_theory
---


## Dataset Description
- **Paper:** [More Information Needed]
- **Point of Contact:** izabela.krysinska@doctorate.put.poznan.pl

### Dataset Summary

This dataset consists of 6591 tweets generated by GPT-3.5 model. The tweets are juxtaposed with a conspiracy theory related to COVID-19 pandemic. Each item consists of a label that represents the item's output class. The possible labels are support/deny/neutral.

- **support**: the tweet suggests support for the conspiracy theory
- **deny**: the tweet contradicts the conspiracy theory
- **neutral**: the tweet is mostly informative, and does not show emotions against the conspiracy theory

The dataset can be used to train a classification model. 

### Languages

English

## Dataset Structure

### Data Instances


```
{
  'tweet': 'Is the Chinese government exploiting the pandemic to gain an economic advantage? #COVIDEconomy #ChineseTradeWar',
  'conspiracy_theory': 'CT_3',
  'label': 'support'
}
```


### Data Fields


- `tweet`: a text generated by GPT-3.5 (input)
- `conspiracy theory`: a conspiracy theory identifier 
- `label`: label, support/deny/neutral

Conspiracy theories mapping:
1. **CT1: Vaccines are unsafe.** The coronavirus vaccine is either unsafe or part of a larger plot to control people or reduce the population. 

2. **CT2: Governments and politicians spread misinformation.** Politicians or government agencies are intentionally spreading false information, or they have some other motive for the way they are responding to the coronavirus. 

3. **CT3: The Chinese intentionally spread the virus.** The Chinese government intentionally created or spread the coronavirus to harm other countries. 

4. **CT4: Deliberate strategy to create economic instability or benefit large corporations.** The coronavirus or the government's response to it is a deliberate strategy to create economic instability or to benefit large corporations over small businesses. 

5. **CT5: Public was intentionally misled about the true nature of the virus and prevention.** The public is being intentionally misled about the true nature of the Coronavirus, its risks, or the efficacy of certain treatments or prevention methods. 

6. **CT6: Human made and bioweapon.** The Coronavirus was created intentionally, made by humans, or as a bioweapon. 

### Data Splits

The dataset contains training split only which consists of 6591 items. 

## Dataset Creation

The dataset was generated with GPT-3.5 with the following prompts for support, deny, and neutral class respectively: 

**support** Consider the following conspiracy theory: X. Generate 50 tweets that support this conspiracy theory. Try to use hashtags that might promote this particular conspiracy theory. Try to use words and terms related to the COVID pandemic. Do not quote the conspiracy theory verbatim. Do not repeat tweets and try to make them diversified. Keep each tweet below the 280 character length limit. Present the tweets as a list.

**deny** Consider the following conspiracy theory: X. Generate 50 tweets that contradict this conspiracy theory. Try to use hashtags that might debunk this particular conspiracy theory. Try to use words and terms related to the COVID pandemic. Do not quote the conspiracy theory verbatim. Do not repeat tweets and try to make them diversified. Keep each tweet below the 280 character length limit. Present the tweets as a list.

**neutral** Consider the following conspiracy theory: X. Generate 50 tweets that are about COVID-19 but unrelated to the conspiracy theory. Try to use hashtags that might be used in such a tweet. Try to use words and terms related to the COVID pandemic. Do not quote the conspiracy theory verbatim. Do not repeat tweets and try to make them diversified. Keep each tweet below the 280 character length limit. Present the tweets as a list.


### Known Limitations

The generated tweets are sometimes formulaic and lack of diversity. 



### Citation Information

```
@article{article_id,
  author    = {Author List},
  title     = {Dataset Paper Title},
  journal   = {Publication Venue},
  year      = {2525}
}
```
