1,721,134 research outputs found
Replication Data for: HoaxItaly: a collection of Italian disinformation and fact-checking stories shared on Twitter in 2019
Replication Data for: HoaxItaly: a collection of Italian disinformation and fact-checking stories shared on Twitter in 2019. Pierri, Artoni, Ceri
We release 1.2 million tweets shared during 2019 and containing links to thousands of news articles published on two classes of Italian outlets: (1) disinformation websites, i.e. outlets which have been repeatedly flagged by journalists and fact-checkers for producing low-credibility content such as false news, hoaxes, click-bait, misleading and hyper-partisan stories; (2) fact-checking websites which notably debunk and verify online news and claims
Replication Data for: VaccinEU: COVID-19 vaccine conversations on Twitter in French, German and Italian
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 machine learning classifiers to automatically detect anti-vaccination messages
Political advertisement on Facebook and Instagram in the run up to 2022 Italian general election
Replication Data for: The diffusion of mainstream and disinformation news on Twitter: the case of Italy and France
This dataset contains the ID of tweets shared in the period November-December 2019, and containing links to websites sharing disinformation and mainstream news in Italy and France.
Please refer to this paper for more details, and cite it if you use this dataset: Pierri F. The diffusion of mainstream and disinformation news on Twitter: the case of Italy and France", (2020) In Companion Proceedings of the The Web Conference 202
Replication Data for: ITA-ELECTION-2022: A multi-platform dataset of social media conversations around the 2022 Italian general election
This is a repository of social media posts related to the Italian 2022 general election. For more details about the collection procedure see the related dataset paper: ITA-ELECTION-2022: A multi-platform dataset of social media conversations
around the 2022 Italian general electio
Investigating Italian disinformation spreading on Twitter in the context of 2019 European elections
We provide two lists of ids of tweets containing a link to Italian disinformation articles and fact-checking posts, shared in the period from 07/01/2019 to 27/05/2019; we also provide the content of associated webpages in a ".pkl" format.
Tweets can be gathered using Twitter Search API.
Refer to the associated paper for more information on the data.
If you use this dataset please cite:
"Investigating Italian disinformation spreading on Twitter in the context of 2019 European elections" (2020) Pierri F., Artoni A., Ceri S. PLoS ON
Investigating Italian disinformation spreading on Twitter in the context of 2019 European elections
We provide two lists of ids of tweets containing a link to Italian disinformation articles and fact-checking posts, shared in the period from 07/01/2019 to 27/05/2019; we also provide the content of associated webpages in a ".pkl" format.
Tweets can be gathered using Twitter Search API.
Refer to the associated paper for more information on the data.
If you use this dataset please cite:
"Investigating Italian disinformation spreading on Twitter in the context of 2019 European elections" (2020) Pierri F., Artoni A., Ceri S. PLoS ON
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