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The Many Dimensions of Truthfulness: Crowdsourcing Misinformation Assessments on a Multidimensional Scale [article]

Michael Soprano and Kevin Roitero and David La Barbera and Davide Ceolin and Damiano Spina and Stefano Mizzaro and Gianluca Demartini
2021 arXiv   pre-print
In this paper we propose a multidimensional notion of truthfulness and we ask the crowd workers to assess seven different dimensions of truthfulness selected based on existing literature: Correctness,  ...  A comprehensive analysis of crowdsourced judgments shows that: (1) the crowdsourced assessments are reliable when compared to an expert-provided gold standard; (2) the proposed dimensions of truthfulness  ...  We thank the reviewers for their comments; they provided insightful remarks that helped us to improve the overall quality of the paper.  ... 
arXiv:2108.01222v1 fatcat:26prpndntffkfmjrfoabd3wz5m

The art of creating an informative data collection for automated deception detection: A corpus of truths and lies

Victoria L. Rubin, Niall J. Conroy
2012 Proceedings of the American Society for Information Science and Technology  
One of the novel research directions in Natural Language Processing and Machine Learning involves creating and developing methods for automatic discernment of deceptive messages from truthful ones.  ...  A data collection, or a corpus of truths and lies, should meet certain basic criteria to allow for meaningful analysis and comparison of socio-linguistic behaviors.  ...  Acknowledging the difficulty of the data-gathering task in a crowdsourcing environment, our study indicates that lacking a communicative context between individuals, or otherwise explicit consultation  ... 
doi:10.1002/meet.14504901045 fatcat:5p7lca4lcbgj7psz6lire7jbvy

Institute for the Quantitative Study of Inclusion, Diversity, and Equity (QSIDE)

Chad Michael Topaz, Veronica Ciocanel, Phoebe Cohen, Miles Ott, Nancy Rodriguez
2020 Notices of the American Mathematical Society  
Notices oF the americaN mathematical society 223 COMMUNICATION shine the light of truth upon them." For QSIDE, quantitative methods are one form of this light of truth.  ...  Inclusion, Diversity, and Equity Any potential advancement of inclusion, diversity, and equity (IDE) depends on a shared understanding of these values; we now describe QSIDE's qualitative framework for  ...  We are deeply indebted to Andrew Bernoff, Sara Clifton, Manuel Lladser, Karen Saxe, and two anonymous reviewers for helpful feedback on this article.  ... 
doi:10.1090/noti2019 fatcat:cqdkrgvax5glfd3reddoobt5ni

Citation Needed: A Taxonomy and Algorithmic Assessment of Wikipedia's Verifiability

Miriam Redi, Besnik Fetahu, Jonathan Morgan, Dario Taraborelli
2019 The World Wide Web Conference on - WWW '19  
We then crowdsource a large-scale dataset of Wikipedia sentences annotated with categories derived from this taxonomy.  ...  Wikipedia is playing an increasingly central role on the web, and the policies its contributors follow when sourcing and fact-checking content affect million of readers.  ...  ACKNOWLEDGMENTS We would like to thank the community members of the English, French and Italian Wikipedia for helping with data labeling and for their precious suggestions, and Bahodir Mansurov and Aaron  ... 
doi:10.1145/3308558.3313618 dblp:conf/www/RediFMT19 fatcat:vbspbh44dfgerbirrawiwzayti

Citation Needed: A Taxonomy and Algorithmic Assessment of Wikipedia's Verifiability [article]

Miriam Redi and Besnik Fetahu and Jonathan Morgan and Dario Taraborelli
2019 arXiv   pre-print
We then collect a large-scale crowdsourced dataset of Wikipedia sentences annotated with categories derived from this taxonomy.  ...  Finally, we design and evaluate algorithmic models to determine if a statement requires a citation, and to predict the citation reason based on our taxonomy.  ...  ACKNOWLEDGMENT: We would like to thank the community members of the English, French and Italian Wikipedia for helping with data labeling and for their precious suggestions, and Bahodir Mansurov and Aaron  ... 
arXiv:1902.11116v1 fatcat:5tstfvhq2re7dbuakbrwypofbu

The Origin and Value of Disagreement Among Data Labelers: A Case Study of the Individual Difference in Hate Speech Annotation [article]

Yisi Sang, Jeffrey Stanton
2021 arXiv   pre-print
scale for distilling the process of how annotators label a hate speech corpus.  ...  We suggest that this work contributes to the understanding of how humans annotate data. The proposed scale can potentially improve the value of the currently discarded minority-vote labels.  ...  a multidimensional scale for distilling the process of how annotators label a hate speech corpus.  ... 
arXiv:2112.04030v1 fatcat:xtqe55o2c5ambh2jhgofxsjjma

Automatically Assessing Quality of Online Health Articles [article]

Fariha Afsana, Muhammad Ashad Kabir, Naeemul Hassan, Manoranjan Paul
2020 arXiv   pre-print
To address this gap, in this paper, we applied a data mining approach to automatically assess the quality of online health articles based on 10 quality criteria.  ...  However, the quality of information disseminated in the field of medicine has been questioned as the negative health consequences of health misinformation can be life-threatening.  ...  In this era of Internet, misinformation (dubious, low quality fabricated information) disseminates much faster like wildfire than the truth.  ... 
arXiv:2004.05113v1 fatcat:4p257et64ncsjgfob4oqxk5pha

Does design matter when visualizing Big Data? An empirical study to investigate the effect of visualization type and interaction use

Lisa Perkhofer, Conny Walchshofer, Peter Hofer
2020 Journal of Management Control  
Data collection for the large-scale quantitative experiment was done using crowdsourcing (Amazon Mechanical Turk).  ...  However, little emphasis has been placed on the evaluation of their usability and, in particular, on design characteristics.  ...  Participants were asked in the experimental conditions to assess the statements' truth (examples are presented in Table 2 ).  ... 
doi:10.1007/s00187-020-00294-0 fatcat:wr5tjerf25hajfyaroega7l3vi

Online Social Deception and Its Countermeasures: A Survey

Zhen Guo, Jin-Hee Cho, Ing-Ray Chen, Srijan Sengupta, Michin Hong, Tanushree Mitra
2020 IEEE Access  
We conclude our survey with in-depth discussions on the limitations of the state-of-the-art and suggest future research directions in OSD research.  ...  Based on this survey, we provide insights into the effectiveness of countermeasures and the lessons learned from the existing literature.  ...  The three states in the SIR are defined based on the degree of each dimension of an opinion which is defined by belief, disbelief, and uncertainty.  ... 
doi:10.1109/access.2020.3047337 fatcat:xw2rr2sjnrdf3nk4vfuowrkizy

A Survey of COVID-19 Misinformation: Datasets, Detection Techniques and Open Issues [article]

A.R. Sana Ullah, Anupam Das, Anik Das, Muhammad Ashad Kabir, Kai Shu
2021 arXiv   pre-print
Finally, we discuss the limitations of the existing methods and highlight some potential future research directions along this dimension to combat the spreading of misinformation during a pandemic.  ...  This expeditious growth of misinformation creates adverse effects on the people living in the society.  ...  Dharawat et al. [62] introduced a dataset for health risk assessment of COVID-19 misinformation.  ... 
arXiv:2110.00737v2 fatcat:vhafkc3i6bcaxpmjmrt7pm2mxe

Factful

Juho Kim, Eun-Young Ko, Jonghyuk Jung, Chang Won Lee, Nam Wook Kim, Jihee Kim
2015 Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems - CHI '15  
While a government budget determines how taxpayers' money is allocated to various programs and stakeholders that compete for limited resources, the extensiveness and complexity of the budget and its process  ...  They built a rich context surrounding the relevant budget facts beyond what was presented in the article.  ...  ACKNOWLEDGMENTS This research is supported by the Undergraduate Research Program and High-Risk High-Return Program at KAIST. Juho Kim is partly supported by the Samsung Fellowship.  ... 
doi:10.1145/2702123.2702352 dblp:conf/chi/KimKJLKK15 fatcat:u5atevk4h5bsvlvj3jbifnh7bm

NEWS ACCURACY IN SWITZERLAND AND ITALY

Colin Porlezza, Scott R. Maier, Stephan Russ-Mohl
2012 Journalism Practice  
This article presents an accuracy audit of Swiss and Italian daily regional newspapers. Replicating U.S. research, the study offers a trans-Atlantic perspective of news accuracy.  ...  This is the accepted version of the paper. This version of the publication may differ from the final published version.  ...  The International Federation of Journalists has a similar mandate: "Respect for truth and for the right of the public to truth is the first duty of the journalist" (International Federation of Journalists  ... 
doi:10.1080/17512786.2011.650923 fatcat:rw2x4g2uenfp7g3asfb7twfepu

Online Social Deception and Its Countermeasures for Trustworthy Cyberspace: A Survey [article]

Zhen Guo, Jin-Hee Cho, Ing-Ray Chen, Srijan Sengupta, Michin Hong, Tanushree Mitra
2020 arXiv   pre-print
We conclude this survey paper with an in-depth discussions on the limitations of the state-of-the-art and recommend future research directions in this area.  ...  Based on this survey, we provide insights into the effectiveness of countermeasures and the lessons from existing literature.  ...  The three states in the SIR are defined based on the degree of each dimension of an opinion which is defined by belief, disbelief, and uncertainty.  ... 
arXiv:2004.07678v1 fatcat:k4a6siywefb6lhkmyn67lmoqwe

Role of big data and social media analytics for business to business sustainability: A participatory web context

Uthayasankar Sivarajah, Zahir Irani, Suraksha Gupta, Kamran Mahroof
2019 Industrial Marketing Management  
Table 4 classifies the key aspects of Participatory web methodically to categorise and present them in the form of a taxonomy based on the three dimensions of sustainability.  ...  The remaining theme of 'Minimising risk' theme, which consisted of 'flagging misinformation', 'risk assessment' and 'myth busting' sub-themes were strongly expressed by managers and highlighted the increasingly  ... 
doi:10.1016/j.indmarman.2019.04.005 fatcat:jmixtqk64na5vf7zqb2weypuje

Multilingual topic modeling for tracking COVID-19 trends based on Facebook data analysis

Amina Amara, Mohamed Ali Hadj Taieb, Mohamed Ben Aouicha
2021 Applied intelligence (Boston)  
Indeed, several works focused on the benefits of social data analysis for the healthcare practices and curing domain.  ...  Data analysing covers the duration spanned from January 1st, 2020 to May 15, 2020 divided on three periods in cumulative way: first period January-February, second period March-April and the last one to  ...  Multidimensional scaling analysis, temporal analysis, and inferential statistical analysis approaches were used in the study.  ... 
doi:10.1007/s10489-020-02033-3 pmid:34764585 pmcid:PMC7881346 fatcat:iwc32vu64ncuxcwpesse7itqli
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