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Prior work has extensively studied misinformation related to news, politics, and health, however, misinformation can also be about technological topics.
Snowball sampling
Goodman, L. A. 1961 · 1961
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Grounded theory research: Procedures, canons, and evaluative criteria
Corbin, J. M.; and Strauss, A. 1990 · 1990
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SMOTE: synthetic minority over-sampling technique
Chawla, N. V.; Bowyer, K. W.; Hall, L. O.; and Kegelmeyer, W. P. 2002 · 2002
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A first look at COVID-19 information and misinformation sharing on Twitter
Singh, L.; Bansal, S.; Bode, L.; Budak, C.; Chi, G.; Kawintiranon, K.; Padden, C.; Vanarsdall, R.; Vraga, E.; and Wang, Y. 2020 · 2003
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A note on the interpretation of weighted kappa and its relations to other rater agreement statistics for metric scales
Schuster, C. 2004 · 2004
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Why phishing works
Dhamija, R.; Tygar, J. D.; and Hearst, M. 2006 · 2006
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Fast unfolding of communities in large networks
Blondel, V. D.; Guillaume, J.-L.; Lambiotte, R.; and Lefebvre, E. 2008 · 2008
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ADASYN: Adaptive synthetic sampling approach for imbalanced learning
He, H.; Bai, Y.; Garcia, E. A.; and Li, S. 2008 · 2008
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Beyond blacklists: learning to detect malicious web sites from suspicious URLs
Ma, J.; Saul, L. K.; Savage, S.; and Voelker, G. M. 2009 · 2009
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Prophiler: a fast filter for the large-scale detection of malicious web pages
Canali, D.; Cova, M.; Vigna, G.; and Kruegel, C. 2011 · 2011
Earlier work this paper cites.
PhishAri: Automatic realtime phishing detection on twitter
Aggarwal, A.; Rajadesingan, A.; and Kumaraguru, P. 2012 · 2012
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Tweeting is believing? Understanding microblog credibility perceptions
Morris, M. R.; Counts, S.; Roseway, A.; Hoff, A.; and Schwarz, J. 2012 · 2012
Earlier work this paper cites.
Tweet sentiment analysis with classifier ensembles
Da Silva, N. F.; Hruschka, E. R.; and Hruschka Jr, E. R. 2014 · 2014
Earlier work this paper cites.
Linguistic traces of a scientific fraud: The case of Diederik Stapel
Markowitz, D. M.; and Hancock, J. T. 2014 · 2014
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Ethical research standards in a world of big data
Rivers, C. M.; and Lewis, B. L. 2014 · 2014
Earlier work this paper cites.
Tweet, but verify: epistemic study of information verification on twitter
Zubiaga, A.; and Ji, H. 2014 · 2014
Earlier work this paper cites.
6 million spam tweets: A large ground truth for timely Twitter spam detection
Chen, C.; Zhang, J.; Chen, X.; Xiang, Y.; and Zhou, W. 2015 · 2015
Earlier work this paper cites.
Better malware ground truth: Techniques for weighting anti-virus vendor labels
Kantchelian, A.; Tschantz, M. C.; Afroz, S.; Miller, B.; Shankar, V.; Bachwani, R.; Joseph, A. D.; and Tygar, J. D. 2015 · 2015
Earlier work this paper cites.
Vulnerability Disclosure in the Age of Social Media: Exploiting Twitter for Predicting { \{ Real-World } \} Exploits
Sabottke, C.; Suciu, O.; and Dumitraș, T. 2015 · 2015
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Automating URL blacklist generation with similarity search approach
Sun, B.; Akiyama, M.; Yagi, T.; Hatada, M.; and Mori, T. 2016 · 2016
Earlier work this paper cites.
Discovery of grounded theory: Strategies for qualitative research
Glaser, B. G.; and Strauss, A. L. 2017 · 2017
Earlier work this paper cites.
Predicting cyber attacks with bayesian networks using unconventional signals
Okutan, A.; Yang, S. J.; and McConky, K. 2017 · 2017
Cited alongside, same era.
Truth of varying shades: Analyzing language in fake news and political fact-checking
Rashkin, H.; Choi, E.; Jang, J. Y.; Volkova, S.; and Choi, Y. 2017 · 2017
Cited alongside, same era.
Csi: A hybrid deep model for fake news detection
Ruchansky, N.; Seo, S.; and Liu, Y. 2017 · 2017
Cited alongside, same era.
Early warnings of cyber threats in online discussions
Sapienza, A.; Bessi, A.; Damodaran, S.; Shakarian, P.; Lerman, K.; and Ferrara, E. 2017 · 2017
Cited alongside, same era.
Fake news detection on social media: A data mining perspective
Shu, K.; Sliva, A.; Wang, S.; Tang, J.; and Liu, H. 2017 · 2017
Cited alongside, same era.
Unsupervised content-based identification of fake news articles with tensor decomposition ensembles
Software Flaws Sometimes First Reported on Social Media
Brettman, A. 2020 · 2020
Later among the works it cites.
Verified Twitter Users Shared an All-Time-High Amount of Fake News in 2020
Cohen, J. 2021 · 2020
Later among the works it cites.
Thousands of Zoom video calls left exposed on open Web
Harwell, D. 2020 · 2020
Later among the works it cites.
The Virus Changed the Way We Internet
Koeze, E.; and Popper, N. 2020 · 2020
Later among the works it cites.
Coronavirus goes viral: quantifying the COVID-19 misinformation epidemic on Twitter
Kouzy, R.; Abi Jaoude, J.; Kraitem, A.; El Alam, M. B.; Karam, B.; Adib, E.; Zarka, J.; Traboulsi, C.; Akl, E. W.; and Baddour, K. 2020 · 2020
Later among the works it cites.
The parallel pandemic: Medical misinformation and COVID-19: Primum non nocere
Love, J. S.; Blumenberg, A.; and Horowitz, Z. 2020 · 2020
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Hosseinimotlagh, S.; and Papalexakis, E. E. 2018 · 2018
Cited alongside, same era.
Multi-source multi-class fake news detection
Karimi, H.; Roy, P.; Saba-Sadiya, S.; and Tang, J. 2018 · 2018
Cited alongside, same era.
False information on web and social media: A survey
Kumar, S.; and Shah, N. 2018 · 2018
Cited alongside, same era.
Detecting phishing attacks using natural language processing and machine learning
Peng, T.; Harris, I.; and Sawa, Y. 2018 · 2018
Cited alongside, same era.
’Cure or Poison?’Identity Verification and the Spread of Fake News on Social Media
Wang, S. A.; Pang, M.-S.; and Pavlou, P. A. 2018 · 2018
Cited alongside, same era.
Eann: Event adversarial neural networks for multi-modal fake news detection
Wang, Y.; Ma, F.; Jin, Z.; Yuan, Y.; Xun, G.; Jha, K.; Su, L.; and Gao, J. 2018 · 2018
Cited alongside, same era.
Learning Hierarchical Discourse-level Structure for Fake News Detection
Karimi, H.; and Tang, J. 2019 · 2019
Cited alongside, same era.
Later among the works it cites.
PolitiFact
McCarthy, B. 2020 · 2020
Later among the works it cites.
‘Zoombombing’ Attacks Disrupt Classes
Redden, E. 2020 · 2020
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Detection of novel social bots by ensembles of specialized classifiers
Sayyadiharikandeh, M.; Varol, O.; Yang, K.-C.; Flammini, A.; and Menczer, F. 2020 · 2020
Later among the works it cites.
CrowdTangle. Facebook, Menlo Park, California, United States
Team, C. 2020 · 2020
Later among the works it cites.
Zoom’s Use of Facebook’s SDK in iOS Client
Yuan, E. S. 2020 · 2020
Later among the works it cites.
SAFE: Similarity-Aware Multi-modal Fake News Detection
Zhou, X.; Wu, J.; and Zafarani, R. 2020 · 2020
Later among the works it cites.
Measuring and Modeling the Label Dynamics of Online Anti-Malware Engines
Zhu, S.; Shi, J.; Yang, L.; Qin, B.; Zhang, Z.; Song, L.; and Wang, G. 2020 · 2020
Later among the works it cites.
SpiderFoot, Open Source Intelligence Automation
2021 · 2021
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Processing tweets for cybersecurity threat awareness
Alves, F.; Bettini, A.; Ferreira, P. M.; and Bessani, A. 2021 · 2021
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What data is CrowdTangle tracking?
Fraser, L. 2021 · 2021
Closest in time.
As Delta Variant Spreads, COVID-19 Themes Make Resurgence In Email Threats
Larson, S. 2021 · 2021
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Measuring the impact of COVID-19 vaccine misinformation on vaccination intent in the UK and USA
Loomba, S.; de Figueiredo, A.; Piatek, S. J.; de Graaf, K.; and Larson, H. J. 2021 · 2021
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Fighting an infodemic: Covid-19 fake news dataset
Patwa, P.; Sharma, S.; Pykl, S.; Guptha, V.; Kumari, G.; Akhtar, M. S.; Ekbal, A.; Das, A.; and Chakraborty, T. 2021 · 2021
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Evaluating the effectiveness of Phishing Reports on Twitter
Roy, S. S.; Karanjit, U.; and Nilizadeh, S. 2021 · 2021
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