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COVID-19 impacted every part of the world, although the misinformation about the outbreak traveled faster than the virus.
J. R. Quinlan, “Induction of decision trees,” Mach. Learn. , vol. 1, no. 1, p. 81–106, mar 1986. [Online]. Available: https://doi.org/10.1023/A:1022643204877
1986
Earlier work this paper cites.
K. Sparck Jones, S. Walker, and S. Robertson, “A probabilistic model of information retrieval: development and comparative experiments: Part 1,” Information Processing & Management , vol. 36, no. 6, pp. 779–808, 2000. [Online]. Available: https://www.sciencedirect.com/science/article/pii/S0306457300000157
2000
Earlier work this paper cites.
L. Breiman, “Random forests,” Machine learning , vol. 45, no. 1, pp. 5–32, 2001
2001
Earlier work this paper cites.
D. J. Hand and K. Yu, “Idiot’s bayes: Not so stupid after all?” International Statistical Review / Revue Internationale de Statistique , vol. 69, no. 3, pp. 385–398, 2001. [Online]. Available: http://www.jstor.org/stable/1403452
2001
Earlier work this paper cites.
L. E. Peterson, “K-nearest neighbor,” Scholarpedia , vol. 4, no. 2, p. 1883, 2009, revision #137311
2009
Earlier work this paper cites.
D. N. Fisman, T. S. Hauck, A. R. Tuite, and A. L. Greer, “An idea for short term outbreak projection: nearcasting using the basic reproduction number,” PloS one , vol. 8, no. 12, p. e83622, 2013
2013
Earlier work this paper cites.
C. M. Rivers and B. L. Lewis, “Ethical research standards in a world of big data,” F1000Research , vol. 3, 2014
2014
Earlier work this paper cites.
J. Pennington, R. Socher, and C. Manning, “GloVe: Global vectors for word representation,” in Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP) . Doha, Qatar: Association for Computational Linguistics, Oct. 2014, pp. 1532–1543. [Online]. Available: https://aclanthology.org/D14-1162
2014
Earlier work this paper cites.
T. P. Policy, “Update on twitter’s review of the 2016 us election,” 2022. [Online]. Available: https://blog.twitter.com/en_us/topics/company/2018/2016-election-update
2016
Earlier work this paper cites.
2017
Earlier work this paper cites.
K. Shu, A. Sliva, S. Wang, J. Tang, and H. Liu, “Fake news detection on social media: A data mining perspective,” ACM SIGKDD explorations newsletter , vol. 19, no. 1, pp. 22–36, 2017
2017
Earlier work this paper cites.
T. L. Sutejo and D. P. Lestari, “Indonesia hate speech detection using deep learning,” in 2018 International Conference on Asian Language Processing (IALP) , 2018, pp. 39–43
2018
Earlier work this paper cites.
C. Shao, G. L. Ciampaglia, O. Varol, K.-C. Yang, A. Flammini, and F. Menczer, “The spread of low-credibility content by social bots,” Nature communications , vol. 9, no. 1, pp. 1–9, 2018
2018
Earlier work this paper cites.
J. Zhang, R. Zhang, Y. Zhang, and G. Yan, “The rise of social botnets: Attacks and countermeasures,” IEEE Transactions on Dependable and Secure Computing , vol. 15, no. 6, pp. 1068–1082, 2018
2018
Earlier work this paper cites.
A. Arif, L. G. Stewart, and K. Starbird, “Acting the part: Examining information operations within# blacklivesmatter discourse,” Proceedings of the ACM on Human-Computer Interaction , vol. 2, no. CSCW, pp. 1–27, 2018
2018
Earlier work this paper cites.
2018
Cited alongside, same era.
2018
Cited alongside, same era.
A. Badawy, E. Ferrara, and K. Lerman, “Analyzing the digital traces of political manipulation: The 2016 russian interference twitter campaign,” in 2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM) , 2018, pp. 258–265
2018
Cited alongside, same era.
C. Grimme, D. Assenmacher, and L. Adam, “Changing perspectives: Is it sufficient to detect social bots?” in International conference on social computing and social media . Springer, 2018, pp. 445–461
2018
Cited alongside, same era.
K.-C. Yang, O. Varol, P.-M. Hui, and F. Menczer, “Scalable and generalizable social bot detection through data selection,” in Proceedings of the AAAI conference on artificial intelligence , vol. 34, no. 01, 2020, pp. 1096–1103
2020
Later among the works it cites.
D. Assenmacher, L. Clever, J. S. Pohl, H. Trautmann, and C. Grimme, “A two-phase framework for detecting manipulation campaigns in social media,” in International Conference on Human-Computer Interaction . Springer, 2020, pp. 201–214
2020
Later among the works it cites.
M. Sayyadiharikandeh, O. Varol, K.-C. Yang, A. Flammini, and F. Menczer, “Detection of novel social bots by ensembles of specialized classifiers,” in Proceedings of the 29th ACM international conference on information & knowledge management , 2020, pp. 2725–2732
2020
Later among the works it cites.
M. Cinelli, W. Quattrociocchi, A. Galeazzi, C. M. Valensise, E. Brugnoli, A. L. Schmidt, P. Zola, F. Zollo, and A. Scala, “The covid-19 social media infodemic,” Scientific Reports , vol. 10, no. 1, pp. 1–10, 2020
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C. Shao, G. L. Ciampaglia, O. Varol, K.-C. Yang, A. Flammini, and F. Menczer, “The spread of low-credibility content by social bots,” Nature communications , vol. 9, no. 1, pp. 1–9, 2018
2018
Cited alongside, same era.
S. Wojcik, S. Messing, A. W. Smith, L. Rainie, and P. Hitlin, “Bots in the twittersphere,” 2018
2018
Cited alongside, same era.
M. Aldwairi and A. Alwahedi, “Detecting fake news in social media networks,” Procedia Computer Science , vol. 141, pp. 215–222, 2018, the 9th International Conference on Emerging Ubiquitous Systems and Pervasive Networks (EUSPN-2018) / The 8th International Conference on Current and Future Trends of Information and Communication Technologies in Healthcare (ICTH-2018) / Affiliated Workshops. [Online]. Available: https://www.sciencedirect.com/science/article/pii/S1877050918318210
2018
Cited alongside, same era.
M. D. Vicario, W. Quattrociocchi, A. Scala, and F. Zollo, “Polarization and fake news: Early warning of potential misinformation targets,” ACM Transactions on the Web (TWEB) , vol. 13, no. 2, pp. 1–22, 2019
2019
Cited alongside, same era.
U. Bhattacharjee, P. Srijith, and M. S. Desarkar, “Leveraging social media towards understanding anti-vaccination campaigns,” in 2019 11th International Conference on Communication Systems & Networks (COMSNETS) , 2019, pp. 886–890
2019
Cited alongside, same era.
T. R. Keller and U. Klinger, “Social bots in election campaigns: Theoretical, empirical, and methodological implications,” Political Communication , vol. 36, no. 1, pp. 171–189, 2019
2019
Cited alongside, same era.
A. Depoux, S. Martin, E. Karafillakis, R. Preet, A. Wilder-Smith, and H. Larson, “The pandemic of social media panic travels faster than the covid-19 outbreak,” p. taaa031, 2020
2020
Cited alongside, same era.
S. Yang, J. Jiang, A. Pal, K. Yu, F. Chen, and S. Yu, “Analysis and insights for myths circulating on twitter during the covid-19 pandemic,” IEEE Open Journal of the Computer Society , vol. 1, pp. 209–219, 2020
2020
Cited alongside, same era.
2020
Later among the works it cites.
P. R. Center, “The internet and the pandemic,” September 2022. [Online]. Available: https://www.pewresearch.org/internet/2021/09/01/the-internet-and-the-pandemic/
2021
Later among the works it cites.
J. M. Banda, R. Tekumalla, G. Wang, J. Yu, T. Liu, Y. Ding, E. Artemova, E. Tutubalina, and G. Chowell, “A large-scale covid-19 twitter chatter dataset for open scientific research-an international collaboration,” Epidemiologia , 2021
2021
Later among the works it cites.
twarc, “twarc,” 2021. [Online]. Available: https://twarc-project.readthedocs.io/en/latest/
2021
Later among the works it cites.
W. S. Paka, R. Bansal, A. Kaushik, S. Sengupta, and T. Chakraborty, “Cross-sean: A cross-stitch semi-supervised neural attention model for covid-19 fake news detection,” Applied Soft Computing , vol. 107, p. 107393, 2021
2021
Later among the works it cites.
P. Patwa, S. Sharma, S. Pykl, V. Guptha, G. Kumari, M. S. Akhtar, A. Ekbal, A. Das, and T. Chakraborty, “Fighting an infodemic: Covid-19 fake news dataset,” in International Workshop on Combating Online Hostile Posts in Regional Languages during Emergency Situation . Springer, 2021, pp. 21–29
2021
Later among the works it cites.
R. J. Schuchard and A. T. Crooks, “Insights into elections: An ensemble bot detection coverage framework applied to the 2018 u.s. midterm elections,” PLOS ONE , 2021
2021
Later among the works it cites.
2021
Later among the works it cites.
W. H. Organization, “Weekly epidemiological update on covid-19 - 10 august 2022,” 2022. [Online]. Available: https://www.who.int/publications/m/item/weekly-epidemiological-update-on-covid-19---10-august-2022
2022
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D. Nikolov, “Information exposure biases in online behaviors,” Ph.D. dissertation, 2019, copyright - Database copyright ProQuest LLC; ProQuest does not claim copyright in the individual underlying works; Last updated - 2022-04-29
2022
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