Misinformation, manipulation, and abuse on social media in the era of COVID-19

Emilio Ferrara1, Stefano Cresci2, Luca Luceri3
1University of Southern California, Los Angeles, CA, 90007, USA
2Institute of Informatics and Telematics, National Research Council (IIT-CNR), 56124, Pisa, Italy
3University of Applied Sciences and Arts of Southern Switzerland (SUPSI), Manno, Switzerland

Tóm tắt

Từ khóa


Tài liệu tham khảo

Alqurashi, S., Alhindi, A., & Alanazi, E. (2020). Large Arabic Twitter dataset on COVID-19. arXiv preprint arXiv:2004.04315.

Banda, J.M., Tekumalla, R., Wang, G., Yu, J., Liu, T., Ding, Y., & Chowell, G. (2020). A large-scale COVID-19 Twitter chatter dataset for open scientific research—An international collaboration. arXiv preprint arXiv:2004.03688.

Boneh, D., Grotto, A. J., McDaniel, P., & Papernot, N. (2019). How relevant is the Turing test in the age of sophisbots? IEEE Security & Privacy,17(6), 64–71.

Broniatowski, D. A., Jamison, A. M., Qi, S., AlKulaib, L., Chen, T., Benton, A., et al. (2018). Weaponized health communication: Twitter bots and Russian trolls amplify the vaccine debate. American Journal of Public Health,108(10), 1378–1384.

Chakraborty, A., & Bose, S. (2020). Around the world in sixty days: An exploratory study of impact of COVID-19 on online global news sentiment. Journal of Computational Social Science.

Chen, E., Lerman, K., & Ferrara, E. (2020). Tracking social media discourse about the COVID-19 pandemic: Development of a public coronavirus Twitter data set. JMIR Public Health and Surveillance,6(2), e19273.

Ciampaglia, G. L. (2018). Fighting fake news: A role for computational social science in the fight against digital misinformation. Journal of Computational Social Science,1(1), 147–153.

Cinelli, M., Cresci, S., Galeazzi, A., Quattrociocchi, W., & Tesconi, M. (2020). The limited reach of fake news on Twitter during 2019 European elections. PLoS One,15(6), e0234689.

Cresci, S. (2020). A decade of social bot detection. Communications of the ACM,63(10), 61–72.

Da San M., G., Cresci, S., Barrón-Cedeño, A., Yu, S., Di Pietro, R., & Nakov, P. (2020). A survey on computational propaganda detection. In: The 29th International Joint Conference on Artificial Intelligence (IJCAI’20), pp. 4826–4832.

Farrell, T., Gorrell, G., & Bontcheva, K. (2020). Vindication, virtue and vitriol: A study of online engagement and abuse toward British MPs during the COVID-19 Pandemic. Journal of Computational Social Science.

Ferrara, E., Varol, O., Davis, C., Menczer, F., & Flammini, A. (2016). The rise of social bots. Communications of the ACM,59(7), 96–104.

Havey, N. (2020). Partisan public health: How does political ideology influence support for COVID-19 related misinformation?. Journal of Computational Social Science.

Lazer, D. M., Baum, M. A., Benkler, Y., Berinsky, A. J., Greenhill, K. M., Menczer, F., et al. (2018). The science of fake news. Science,359(6380), 1094–1096.

Luceri, L., Deb, A., Giordano, S., & Ferrara, E. (2019). Evolution of bot and human behavior during elections. First Monday,24, 9.

Qazi, U., Imran, M., & Ofli, F. (2020). GeoCoV19: a dataset of hundreds of millions of multilingual COVID-19 tweets with location information. ACM SIGSPATIAL Special,12(1), 6–15.

Shahsavari, S., Holur, P., Wang, T., Tangherlini, T. R., & Roychowdhury, V. (2020). Conspiracy in the time of corona: Automatic detection of emerging COVID-19 conspiracy theories in social media and the news. Journal of Computational Social Science.

Singh, L., Bode, L., Budak, C., Kawintiranon, K., Padden, C., & Vraga, E. (2020). Understanding high and low quality URL sharing on COVID-19 Twitter streams. Journal of Computational Social Science.

Starbird, K. (2019). Disinformation’s spread: Bots, trolls and all of us. Nature,571(7766), 449–450.

Starbird, K., Dailey, D., Mohamed, O., Lee, G., & Spiro, E.S. (2018). Engage early, correct more: How journalists participate in false rumors online during crisis events. In: Proceedings of the 2018 ACM CHI Conference on Human Factors in Computing Systems (CHI’18), pp. 1–12. ACM.

Swire-Thompson, B., & Lazer, D. (2020). Public health and online misinformation: challenges and recommendations. Annual Review of Public Health,41, 433–451.

Uyheng, J., & Carley, K. M. (2020). Bots and online hate during the COVID-19 pandemic: Case studies in the United States and the Philippines. Journal of Computational Social Science.

Wang, A. H. E., Lee, M. C., Wu, M. H., & Shen, P. (2020). Influencing overseas Chinese by tweets: Text-Images as the key tactic of Chinese propaganda. Journal of Computational Social Science.

Zarocostas, J. (2020). How to fight an infodemic. The Lancet, 395(10225), 676.