Published March 6, 2023 | Version 1.0
Dataset Restricted

TRACES Telegram and Twitter Dataset with Bulgarian Journalists Manual Annotations of True/Untrue and Disinformation/Not and Automatic Annotations for Markers of Lies

Description

TRACES dataset of 4083 Twitter and Telegram posts automatically annotated for markers of lies and manually by Bulgarian journalists for containing true/untrue information and disinformation or not.

Each message has been annotated by usually 3 (in under 10 cases by 2 annotators). The annotators came from different media, in order to obtain various views. They were asked to not get biased and were assured that their identities will not be revealed. 

The dataset is a subset of these other datasets:

https://zenodo.org/record/7614247

https://zenodo.org/record/7614318

https://zenodo.org/record/7614357

https://zenodo.org/record/7614294

 

It has been annotated following these Annotation Guidelines:

https://zenodo.org/record/7706743

Notes

This dataset was collected and annotated during the project TRACES, which has indirectly received funding from the European Union's Horizon 2020 research and innovation action programme, via the AI4Media Open Call #1 issued and executed under the AI4Media project (Grant Agreement no. 951911).

Files

Restricted

The record is publicly accessible, but files are restricted to users with access.

Request access

If you would like to request access to these files, please fill out the form below.

You need to satisfy these conditions in order for this request to be accepted:

This dataset is provided under Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA) with the additional terms below. After reading the terms, please state that you read and accept the conditions and describe the entity you are applying from (if it exists - e.g. academic institution, company, government agency), and your intended use of the dataset.

The TRACES team members will review your application and you may be granted access or not.

If you have questions, please contact the TRACES team at: irina.temnikova@gmail.com

Conditions for using the dataset TRACES_9.2_socialmedia_JournalistsAnnotationsAndAutomaticAnnotations_1.0:

In order to be allowed access to this dataset, in line with applicable legislation, including but not limited to the General Data Protection Regulation (GDPR), the Artificial Intelligence Act (AI Act, current draft as of 01 November 2022, pending adoption and entry into force), the TRACES Project Data Management Plan, as well as the Twitter requirements, if you want to download or use this dataset, you must agree with and abide with the following terms and conditions:

  • The dataset has been created with Twitter Academic Access and thus cannot be used for commercial purposes.

  • The dataset is anonymized, and all personal information, revealing the authors is removed. The dataset cannot be used for profiling Twitter users or for any applications, which breach the AI Act’s provisions. The identity reconstruction of the authors of the social media datasets is forbidden.

  • Upon request of the authors of the tweets or of the TRACES team, specific tweet IDs and their annotations must be deleted.

  • The Project Sponsors (AI4Media, F6S, and the European Commission), the members of the TRACES team, users, or subjects shall not be liable or otherwise responsible for any consequences and/or damages (including pecuniary or moral damages) arising out of or in relation to the Project, the data collected, and the methods used for their analysis and/or the results/outcomes.

  • This notice, as well as all the activities of the TRACES Project and of its Project Sponsors, team members, users, or subjects, including any contractual and/or non-contractual liability, are governed exclusively by the European Union laws and by the laws of the Republic of Bulgaria.

  • You agree to provide attribution to the TRACES project in the following format:

    • The TRACES project (https://traces.gate-ai.eu/)

    • Dataset name: TRACES_9.2_socialmedia_JournalistsAnnotationsAndAutomaticAnnotations

    • Data source: Twitter, Telegram

    • Link to the resource: https://zenodo.org/deposit/7702054 

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Additional details

Funding

AI4Media – A European Excellence Centre for Media, Society and Democracy 951911
European Commission