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Data and Disinformation

Norita Ahmad, Nash Milic, Mohammed Ibahrine
2021 Computer  
PREVENTION EFFORTS Governments, political entities, tech companies, media organizations, brands, and individual crackers have learned to transform data into disinformation in the vastness of big data.  ...  Digital platforms, social media, social bots, and data have helped the spread and virality of fake news.  ... 
doi:10.1109/mc.2021.3074261 fatcat:3iaxukxwlzhx7mb6cyufhtf57i

Data citizenship: rethinking data literacy in the age of disinformation, misinformation, and malinformation

Elinor Carmi, Simeon J. Yates, Eleanor Lockley, Alicja Pawluczuk
2020 Internet Policy Review  
We discuss these gaps while highlighting how we integrated these into our survey of UK citizens' data literacies as part of our Nuffield Foundation funded project -Me and My Big Data.  ...  The paper first explores the definition of literacies (written, media, information, digital and data literacies) considering the various parameters and considerations they have gone through.  ...  These gaps in data literacies and their connection to disinformation, misinformation and malinformation are exactly what this paper is focusing on.  ... 
doi:10.14763/2020.2.1481 fatcat:sd2ouwcz4bd7jcw6jif7z2bfdq

Disinformative data in large-scale hydrological modelling

A. Kauffeldt, S. Halldin, A. Rodhe, C.-Y. Xu, I. K. Westerberg
2013 Hydrology and Earth System Sciences  
This study aimed at identifying data inconsistencies in global datasets using a pre-modelling analysis, inconsistencies that can be disinformative for subsequent modelling.  ...  The consistency between (i) basin areas for different hydrographic datasets, and (ii) between climate data (precipitation and potential evaporation) and discharge data, was examined in terms of how well  ...  This study has been heavily dependent on provision of global datasets provided by several groups mentioned in the data section.  ... 
doi:10.5194/hess-17-2845-2013 fatcat:xkafeari5fhjrnrxb67jhtoh24

MM-COVID: A Multilingual and Multimodal Data Repository for Combating COVID-19 Disinformation [article]

Yichuan Li, Bohan Jiang, Kai Shu, Huan Liu
2020 arXiv   pre-print
To help better combat the COVID-19 fake news, we propose a new fake news detection dataset MM-COVID(Multilingual and Multidimensional COVID-19 Fake News Data Repository).  ...  and social media.  ...  like Reddit, Facebook, YouTube, and Instagram, and so on.  ... 
arXiv:2011.04088v2 fatcat:hxccyg2mu5cxxbsayg2gh42fye

Disinformative data in large-scale hydrological modelling

A. Kauffeldt, S. Halldin, A. Rodhe, C.-Y. Xu, I. K. Westerberg
2013 Hydrology and Earth System Sciences Discussions  
This study aimed at identifying data inconsistencies in global datasets using a pre-modelling analysis, inconsistencies that can be disinformative for subsequent modelling.  ...  The consistency between (i) basin areas for different hydrographic datasets, and (ii) between climate data (precipitation and potential evaporation) and discharge data, was examined in terms of how well  ...  This study has been heavily dependent on provision of global datasets provided by several groups mentioned in the data section.  ... 
doi:10.5194/hessd-10-487-2013 fatcat:ii5blu7msvdj5ixl227547aaja

A multi-layer approach to disinformation detection in US and Italian news spreading on Twitter

Francesco Pierri, Carlo Piccardi, Stefano Ceri
2020 EPJ Data Science  
to classify disinformation vs mainstream networks with high accuracy (AUROC up to 94%).  ...  AbstractWe tackle the problem of classifying news articles pertaining to disinformation vs mainstream news by solely inspecting their diffusion mechanisms on Twitter.  ...  F.P. is grateful to Manlio De Domenico and Riccardo Gallotti for insightful discussions on multi-layer networks.  ... 
doi:10.1140/epjds/s13688-020-00253-8 fatcat:kzowtgijq5aedjf3po7jpnnffu

Cost-Sensitive BERT for Generalisable Sentence Classification on Imbalanced Data

Harish Tayyar Madabushi, Elena Kochkina, Michael Castelle
2019 Proceedings of the Second Workshop on Natural Language Processing for Internet Freedom: Censorship, Disinformation, and Propaganda   unpublished
We show that BERT, while capable of handling imbalanced classes with no additional data augmentation, does not generalise well when the training and test data are sufficiently dissimilar (as is often the  ...  However, propaganda detection, like other tasks that deal with news documents and other forms of decontextualized social communication (e.g. sentiment analysis), inherently deals with data whose categories  ...  Acknowledgements We would like to thank Dr Leandro Minku from the University of Birmingham for his insights into and help with the statistical analysis presented in this paper.  ... 
doi:10.18653/v1/d19-5018 fatcat:45a77fjazvhoxnlamwpu4ngecy

Quantitative characterization and identification of the company-related disinformation channel among media

Yongtian Yu, Guang Yu, Tong Li, Qingli Man, Qiuping Chen
2020 IEEE Access  
How to manage this trend in a timely and effective fashion in this big data era has become difficult.  ...  By empirically analysing 4,689 disinformation news values and 330 channels in 2018, we reveal that the disinformation values and negative news values are characteristics.  ...  Using the disinformation data in 2018, we conducted explanatory and predictive analyses.  ... 
doi:10.1109/access.2020.2971727 fatcat:zdlntpq2oncvlkf7lalklstkl4

Research note: Bolsonaro's firehose: How Covid-19 disinformation on WhatsApp was used to fight a government political crisis in Brazil

Felipe Bonow Soares, Raquel Recuero, Taiane Volcan, Giane Fagundes, Giéle Sodré
2021 Harvard Kennedy School Misinformation Review  
Two factors contributed to the high rates: the Brazilian government underestimated the pandemic and a large amount of disinformation was spread through social media.  ...  Our main finding implicates that disinformation on WhatsApp was connected to the far-right political dis-course and framed Covid-19 as a political issue rather than a public health issue.  ...  Data analysis To understand the characteristics of the disinformation we used content analysis.  ... 
doi:10.37016/mr-2020-54 fatcat:4tndrwmf75fvnnlmldadd522si

Ideological Asymmetry in the Reach of Pro-Russian Digital Disinformation to United States Audiences

Frederik Hjorth, Rebecca Adler-Nissen
2019 Journal of Communication  
We evaluate the hypothesis using a large data set of U.S.based Twitter users, testing how ideology is associated with disinformation about the 2014 crash of the MH17 aircraft over eastern Ukraine.  ...  We corroborate the finding using a second, validated data set on individual party registration.  ...  Acknowledgments This study was conducted as part of the "Digital Disinformation" project (project no. CF16-0012), funded by the Carlsberg Foundation, directed by Rebecca Adler-Nissen.  ... 
doi:10.1093/joc/jqz006 fatcat:5tu2dwcvgradhjy7zblf3n7niu

How the Poor Data Privacy Regime Contributes to Misinformation Spread and Democratic Erosion

Wayne Unger
2021 The Columbia Science and Technology Law Review (STLR)  
Disinformation campaigns reduce trust in democracy, harm democratic institutions, and endanger public health and safety.  ...  These enablers share a root cause—the poor data privacy and security regime in the U.S.At its core, democracy requires independent thought, personal autonomy, and trust in democratic institutions.  ...  The Anatomy of Disinformation and Disinformation Campaigns Disinformation and disinformation campaigns are frequently structured in a common manner.  ... 
doi:10.52214/stlr.v22i2.8668 fatcat:w2wmhk3so5fbjaoram4k5qri5y

Identifying Disinformation Websites Using Infrastructure Features [article]

Austin Hounsel, Jordan Holland, Ben Kaiser, Kevin Borgolte, Nick Feamster, Jonathan Mayer
2020 arXiv   pre-print
Current responses like user reports, manual analysis, and third-party fact checking are slow and difficult to scale, and as a result, disinformation can spread unchecked for some time after being created  ...  certificates, and web hosting configurations.  ...  Acknowledgments We thank our paper shepherd Jed Crandall and our anonymous reviewers for their feedback. We also thank Domain-Tools for providing access to their services for our research.  ... 
arXiv:2003.07684v5 fatcat:3mx57iryfjce5nsnxcv6prlyii

Disinformation techniques for entity resolution

Steven Euijong Whang, Hector Garcia-Molina
2013 Proceedings of the 22nd ACM international conference on Conference on information & knowledge management - CIKM '13  
We then evaluate our disinformation planning algorithms on real and synthetic data and compare the robustness of existing ER algorithms.  ...  We formalize the problem of finding the disinformation with the highest benefit given a limited budget for creating the disinformation and propose efficient algorithms for solving the problem.  ...  data, and larger data.  ... 
doi:10.1145/2505515.2505636 dblp:conf/cikm/WhangG13 fatcat:dsahkqr2qvaezmft7b5qtl5wdi

Novel Validated Index for the Measurement of Disinformation Susceptibility at the County Level

Michael X Jin, Sangita Rajan, Carlos E Gary Bicas, Max Hao, Letian Dong, Beckett Mufson, Imran Hafiz
2021 Cureus  
We will outline a process for indexing publicly available data to measure the susceptibility of communities in the United States to disinformation and to study the efficacy of anti-disinformation campaigns  ...  However, caution should be used as the disinformation variables these databases contain may be influenced by additional social and political factors and are often less substantiated than the data from  ... 
doi:10.7759/cureus.15305 fatcat:pqtqjjou3ba7jluzfnhlbipewe

If you are late, you are Beyond help: Disinformation and Authorities in Social Media

Milla Alaraatikka, Pekka Koistinen, Miina Kaarkoski, Aki Huhtinen, Teija Sederholm
2022 Proceedings of the European Conference on Social Media  
This study follows a qualitative design and the data was analysed using inductive content analysis. This study is part of larger project related to counterforces and the detection of disinformation.  ...  One challenge is malicious disinformation, which is intentionally disseminated to deceive and cause harm to citizens and authorities.  ...  We would like thank MRes Juho Äijälä, LLB Verner Paavola, and MEc Dominic Savolainen for valuable comments to this article.  ... 
doi:10.34190/ecsm.9.1.168 fatcat:52sjmpwy3zeq5f3bvt7h5vxhzi
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