Replication Data for: VaccinEU: COVID-19 vaccine conversations on Twitter in French, German and Italian
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully.  <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'We curated a list of vaccine-related keywords as complete as possible with the help of native speakers, using a snowball sampling approach, and collected over 70 million tweets in three different languages, from November 1st 2020 to November 15th 2021, using a combination of streaming and historical search Twitter APIs. We provide public access to this data in agreement with Twitter terms of service by releasing ids of tweets which can be used to retrieve full objects via APIs. For each language, we further collected a list of hashtags which strongly state a stance in favor or against vaccination, and we manually annotated a random sample of 1,000 tweets with four labels (Pro, Anti, Neutral, Out-of-context). We provide full access to this metadata, which can be used to better understand the polarized debate around vaccinations and train' . Please return only a json list of at most 3 Keywords corresponding to the Description:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> {"Answer" : ["misinformation","Twitter","vaccine","vaccine hesitancy"]} <|eot_id|>
 Here is the Description of a dataset. Description:'We curated a list of vaccine-related keywords as complete as possible with the help of native speakers, using a snowball sampling approach, and collected over 70 million tweets in three different languages, from November 1st 2020 to November 15th 2021, using a combination of streaming and historical search Twitter APIs. We provide public access to this data in agreement with Twitter terms of service by releasing ids of tweets which can be used to retrieve full objects via APIs. For each language, we further collected a list of hashtags which strongly state a stance in favor or against vaccination, and we manually annotated a random sample of 1,000 tweets with four labels (Pro, Anti, Neutral, Out-of-context). We provide full access to this metadata, which can be used to better understand the polarized debate around vaccinations and train' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
We curated a list of vaccine-related keywords as complete as possible with the help of native speakers, using a snowball sampling approach, and collected over 70 million tweets in three different languages, from November 1st 2020 to November 15th 2021, using a combination of streaming and historical search Twitter APIs. We provide public access to this data in agreement with Twitter terms of service by releasing ids of tweets which can be used to retrieve full objects via APIs. For each language, we further collected a list of hashtags which strongly state a stance in favor or against vaccination, and we manually annotated a random sample of 1,000 tweets with four labels (Pro, Anti, Neutral, Out-of-context). We provide full access to this metadata, which can be used to better understand the polarized debate around vaccinations and train
misinformation; Twitter; vaccine; vaccine hesitancy