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Fact-Check Spreading Behavior in Twitter: A Qualitative Profile for False-Claim News

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Abstract

Fact-check spread is usually performed by a plain tweet with just the link. Since it is not proper human behavior, it may cause uncanny, hinder the reader’s attention and harm the counter-propaganda influence. This paper presents a profile of fact-check link spread in Twitter (suiting for TRL-1) and, as an additional outcome, proposes a preliminary behavior design based on it (suiting for TRL-2). The underlying hypothesis is by simulating human-like behavior, a bot gets more attention and exerts more influence on its followers.

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Notes

  1. 1.

    Intuition has been a controversial due to some authors opposed it to reason, however intuition is the highest skill level attained when the skill is internalized not requiring extensive councious reasoning. Applied to problem-solving, it the ability to see a solution beforehand.

  2. 2.

    Overtechnology is an anti-pattern similar to overengineering or overuseofpatterns and related to bleedingedge and goldplating. It is the act of designing an artifact to be more “technological” than the necessary for its intended use, often due to marketing purpose or technological obfuscation.

References

  1. Aiello, L.M., Deplano, M., Schifanella, R., Ruffo, G.: People are strange when you’re a stranger: impact and influence of bots on social networks. In: Sixth International AAAI Conference on Weblogs and Social Media (2012)

    Google Scholar 

  2. Bickmore, T.W., Picard, R.W.: Establishing and maintaining long-term human-computer relationships. ACM Trans. Comput.-Hum. Interact. 12, 293–327 (2005)

    Google Scholar 

  3. Brooker, P.: My unexpectedly militant bots: a case for programming-as-social-science. Sociol. Rev. 67(6), 1228–1248 (2019)

    Google Scholar 

  4. Ferrara, E., Varol, O., Davis, C., et al.: The rise of social bots. CACM 59, 7 (2016)

    Article  Google Scholar 

  5. Jingling, Z., Huiyun, Z., Baojiang, C.: Sentence similarity based on semantic vector model. In: Proceedings of the 2014 Ninth International Conference on P2P, Parallel, Grid, Cloud and Internet Computing (Washington, DC, USA), 3PGCIC 2014, pp. 499–503. IEEE Computer Society (2014)

    Google Scholar 

  6. Lucas, G.M., Boberg, J., Traum, D., Artstein, R., Gratch, J., Gainer, A., Johnson, E., Leuski, A., Nakano, M.: Culture, errors, and rapport-building dialogue in social agents. In: Proceedings of the 18th International Conference on Intelligent Virtual Agents (New York, NY, USA), IVA 2018, pp. 51–58. Association for Computing Machinery (2018)

    Google Scholar 

  7. Luceri, L., Deb, A., Badawy, A., Ferrara, E.: Red bots do it better: comparative analysis of social bot partisan behavior. In: Companion Proceedings of the 2019 World Wide Web Conference, pp. 1007–1012. ACM (2019)

    Google Scholar 

  8. Marcondes, F.S., Almeida, J.J., Novais, P.: A short survey on chatbot technology: failure in raising the state of the art. In: International Symposium on Distributed Computing and Artificial Intelligence, pp. 28–36. Springer, Heidelberg (2019)

    Google Scholar 

  9. Mori, M., MacDorman, K.F., Kageki, N.: The uncanny valley [from the field]. IEEE Robot. Autom. Mag. 19(2), 98–100 (2012)

    Article  Google Scholar 

  10. Nass, C., Steuer, J., Tauber, E.R.: Computers are social actors. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, pp. 72–78. ACM (1994)

    Google Scholar 

  11. Shao, C., Ciampaglia, G.L., Varol, O., Yang, K.-C., Flammini, A., Menczer, F.: The spread of low-credibility content by social bots. Nat. Commun. 9(1), 4787 (2018)

    Article  Google Scholar 

  12. Shao, C., Hui, P., Wang, L., Jiang, X., Flammini, A., Menczer, F., Ciampaglia, G.: Anatomy of an online misinformation network. PLoS One 13, e0196087 (2018)

    Google Scholar 

  13. Vo, N., Lee, K.: The rise of guardians: fact-checking URL recommendation to combat fake news. In: The 41st International ACM SIGIR Conference on Research (New York, NY, USA), SIGIR 2018, vol. 38, pp. 275–284. ACM (2018)

    Google Scholar 

  14. Vosoughi, S., Roy, D., Aral, S.: The spread of true and false news online. Science 359(6380), 1146–1151 (2018)

    Article  Google Scholar 

  15. Waller, J.: Strategic Influence: Public Diplomacy, Counterpropaganda, and Political Warfare. Institute of World Politics Press (2009)

    Google Scholar 

  16. Wolf, M.J., Miller, K., Grodzinsky, F.S.: Why we should have seen that coming: comments on microsoft’s tay “experiment,” and wider implications. SIGCAS Comput. Soc. 47(3), 54–64 (2017)

    Article  Google Scholar 

  17. Woolley, S., Howard, P.: Computational Propaganda: Political Parties, Politicians, and Political Manipulation on Social Media. Oxford Studies in Digital Politics. Oxford University Press (2018)

    Google Scholar 

Download references

Acknowledgments

This work has been supported by national funds through FCT - Fundação para a Ciência e Tecnologia within the Project Scope: UID/CEC/00319/2019.

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Correspondence to Francisco S. Marcondes .

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Marcondes, F.S., Almeida, J.J., Durães, D., Novais, P. (2020). Fact-Check Spreading Behavior in Twitter: A Qualitative Profile for False-Claim News. In: Rocha, Á., Adeli, H., Reis, L., Costanzo, S., Orovic, I., Moreira, F. (eds) Trends and Innovations in Information Systems and Technologies. WorldCIST 2020. Advances in Intelligent Systems and Computing, vol 1160. Springer, Cham. https://doi.org/10.1007/978-3-030-45691-7_16

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