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Cognitive Reinforcement for Enhanced Post Construction Aiming Fact-Check Spread

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Distributed Computing and Artificial Intelligence, 20th International Conference (DCAI 2023)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 740))

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Abstract

Despite the success of fact-checking agencies in presenting timely fact-checking reports on the main topics, the same success is not achieved for the dissemination of these reports. This work presents the definition of a set of heuristics applicable to messages (posts) in the microblogging environment, with the aim of increasing their engagement and, consequently, their reach. The proposed heuristics focus on two main tasks: summarisation, emotion-personality reinforcement. The results were evaluated through an experiment conducted with twenty participants, comparing the engagement of actual and generated posts. From the results of the experiment, it can be concluded that the strategy used by the generator is at least better than the one used by the fact-checking journal Snopes in its Twitter posts.

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Notes

  1. 1.

    The GPT-3 is more robust version as it uses a large amount of data in the pre-training phase. However, it was not used as it is not available as open source.

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Acknowledgements

This work has been supported by FCT - Fundação para a Ciência e Tecnologia within the R &D Units Project Scope: UIDB/00319/2020;

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Authors and Affiliations

  1. ALGORITMI/LASI, University of Minho, Braga, Portugal

    Maria Araújo Barbosa, Francisco S. Marcondes & Paulo Novais

Authors
  1. Maria Araújo Barbosa
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  2. Francisco S. Marcondes
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  3. Paulo Novais
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Corresponding author

Correspondence to Francisco S. Marcondes .

Editor information

Editors and Affiliations

  1. ETSII / CETINIA, Universidad Rey Juan Carlos, Madrid, Madrid, Spain

    Sascha Ossowski

  2. Politechnika Śląska Kielce, Kielce University of Technology, Santa Cruz, Poland

    Pawel Sitek

  3. Department of Informatics, Engineering School, University of Minho, Braga, Portugal

    Cesar Analide

  4. Departamento de Engenharia Informática, Polytechnic Institute of Porto, Porto, Portugal

    Goreti Marreiros

  5. BISITE, University of Salamanca, Salamanca, Salamanca, Spain

    Pablo Chamoso

  6. BISITE, University of Salamanca, Salamanca, Salamanca, Spain

    Sara Rodríguez

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Barbosa, M.A., Marcondes, F.S., Novais, P. (2023). Cognitive Reinforcement for Enhanced Post Construction Aiming Fact-Check Spread. In: Ossowski, S., Sitek, P., Analide, C., Marreiros, G., Chamoso, P., Rodríguez, S. (eds) Distributed Computing and Artificial Intelligence, 20th International Conference. DCAI 2023. Lecture Notes in Networks and Systems, vol 740. Springer, Cham. https://doi.org/10.1007/978-3-031-38333-5_21

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