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Recent work has demonstrated the viability of using crowdsourcing as a tool for evaluating the truthfulness of public statements.
A technique for the measurement of attitudes
Likert, R. (1932) · 1932
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A Formula for Predicting Readability
Dale, E., & Chall, J. S. (1948) · 1948
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Läsbarhet:
Björnsson, C. (1968) · 1968
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SMOG Grading — a New Readability Formula
McLaughlin, G. H. (1969) · 1969
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Methodologies for Determining Reading Requirements of Military Occupational Specialists
Caylor, J. (1973) · 1973
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The equivalence of weighted kappa and the intraclass correlation coefficient as measures of reliability
Fleiss, J. L., & Cohen, J. (1973) · 1973
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A computer readability formula designed for machine scoring
Coleman, M., & Liau, T. L. (1975) · 1975
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Derivation Of New Readability Formulas (Automated Readability Index, Fog Count And Flesch Reading Ease Formula) For Navy Enlisted Personnel
Kincaid, J. P., Fishburne Jr, R. P., Rogers, R. L., & Chissom, B. S. (1975) · 1975
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Note on Cohen’s kappa
Kvålseth, T. O. (1989) · 1989
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Beyond accuracy: What data quality means to data consumers
Wang, R. Y., & Strong, D. M. (1996) · 1996
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Users’ criteria for relevance evaluation: A cross-situational comparison
Barry, C. L., & Schamber, L. (1998) · 1998
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Nonparametric estimation of reference intervals by simple and bootstrap-based procedures
Linnet, K. (2000) · 2000
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The application of argumentation theory to translation quality assessment
Williams, M. (2001) · 2001
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Information quality benchmarks: Product and service performance
Kahn, B. K., Strong, D. M., & Wang, R. Y. (2002) · 2002
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Generalized Eta and Omega Squared Statistics: Measures of Effect Size for Some Common Research Designs
Olejnik, S. F., & Algina, J. (2004) · 2004
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Cognitive Reflection and Decision Making
Frederick, S. (2005) · 2005
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Software and data quality
Vaníček, J. (2005) · 2005
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Relevance judgment: What do information users consider beyond topicality?
Xu, Y. C., & Chen, Z. (2006) · 2006
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ISO/IEC 25012: 2008 software engineering - software product quality requirements and evaluation (SQuaRE) - data quality model
International Organization for Standardization (2008) · 2008
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Computing Krippendorff’s Alpha-Reliability
Krippendorff, K. (2011) · 2011
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The filter bubble: What the Internet is hiding from you
Pariser, E. (2011) · 2011
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Crowdsourcing interactions: Using crowdsourcing for evaluating interactive information retrieval systems
Zuccon, G., Leelanupab, T., Whiting, S., Yilmaz, E., Jose, J. M., & Azzopardi, L. (2013) · 2013
Cited alongside, same era.
Multidimensional Relevance Modeling via Psychometrics and Crowdsourcing
Zhang, Y., Zhang, J., Lease, M., & Gwizdka, J. (2014) · 2014
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Statistics notes: Bootstrap resampling methods
Bland, J. M., & Altman, D. G. (2015) · 2015
Cited alongside, same era.
From Word Embeddings To Document Distances
Kusner, M., Sun, Y., Kolkin, N., & Weinberger, K. (2015) · 2015
Cited alongside, same era.
Capturing the Ineffable: Collecting, Analysing, and Automating Web Document Quality Assessments
Ceolin, D., Noordegraaf, J., & Aroyo, L. (2016) · 2016
Overview of the CLEF-2019 CheckThat! Lab: Automatic Identification and Verification of Claims
Elsayed, T., Nakov, P., Barrón-Cedeño, A., Hasanain, M., Suwaileh, R., Da San Martino, G., & Atanasova, P. (2019) · 2019
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Using Collection Shards to Study Retrieval Performance Effect Sizes
Ferro, N., Kim, Y., & Sanderson, M. (2019) · 2019
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The Impact of Task Abandonment in Crowdsourcing
Han, L., Roitero, K., Gadiraju, U., Sarasua, C., Checco, A., Maddalena, E., & Demartini, G. (2019) · 2019
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Neural Check-Worthiness Ranking with Weak Supervision: Finding Sentences for Fact-Checking
Hansen, C., Hansen, C., Alstrup, S., Grue Simonsen, J., & Lioma, C. (2019) · 2019
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Fact checking misinformation using recommendations from emotional pedagogical agents
Sethi, R. J., Rangaraju, R., & Shurts, B. (2019) · 2019
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Cited alongside, same era.
A General Linear Mixed Models Approach to Study System Component Effects
Ferro, N., & Silvello, G. (2016) · 2016
Cited alongside, same era.
Filter Bubbles, Echo Chambers, and Online News Consumption
Flaxman, S., Goel, S., & Rao, J. M. (2016) · 2016
Cited alongside, same era.
Let’s agree to disagree: Fixing agreement measures for crowdsourcing
Checco, A., Roitero, K., Maddalena, E., Mizzaro, S., & Demartini, G. (2017) · 2017
Cited alongside, same era.
Comparing in situ and multidimensional relevance judgments
Jiang, J., He, D., & Allan, J. (2017) · 2017
Cited alongside, same era.
Spotting fake news: A social argumentation framework for scrutinizing alternative facts
Sethi, R. J. (2017) · 2017
Cited alongside, same era.
“Liar, Liar Pants on Fire”: A New Benchmark Dataset for Fake News Detection
Wang, W. Y. (2017) · 2017
Cited alongside, same era.
On Topic Difficulty in IR Evaluation: The Effect of Systems, Corpora, and System Components
Zampieri, F., Roitero, K., Culpepper, J. S., Kurland, O., & Mizzaro, S. (2019) · 2019
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Investigating Differences in Crowdsourced News Credibility Assessment: Raters, Tasks, and Expert Criteria
Bhuiyan, M. M., Zhang, A. X., Sehat, C. M., & Mitra, T. (2020) · 2020
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Human-in-the-loop Artificial Intelligence for Fighting Online Misinformation: Challenges and Opportunities
Demartini, G., Mizzaro, S., & Spina, D. (2020) · 2020
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Will the Crowd Game the Algorithm? Using Layperson Judgments to Combat Misinformation on Social Media by Downranking Distrusted Sources
Epstein, Z., Pennycook, G., & Rand, D. (2020) · 2020
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The Battle Against Online Harmful Information: The Cases of Fake News and Hate Speech
Giachanou, A., & Rosso, P. (2020) · 2020
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Crowdsourcing Truthfulness: The Impact of Judgment Scale and Assessor Bias
La Barbera, D., Roitero, K., Demartini, G., Mizzaro, S., & Spina, D. (2020) · 2020
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Argument Mining: A Survey
Lawrence, J., & Reed, C. (2020) · 2020
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Misinformation-oriented expert finding in social networks
Li, G., Dong, M., Yang, F., Zeng, J., Yuan, J., Jin, C., Hung, N. Q. V., Cong, P. T., & Zheng, B. (2020) · 2020
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Annotating and Analyzing Biased Sentences in News Articles using Crowdsourcing
Lim, S., Jatowt, A., Färber, M., & Yoshikawa, M. (2020) · 2020
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FNED: A Deep Network for Fake News Early Detection on Social Media
Liu, Y., & Wu, Y.-F. B. (2020) · 2020
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Leveraging Behavioral Heterogeneity Across Markets for Cross-Market Training of Recommender Systems
Roitero, K., Carterette, B., Mehrotra, R., & Lalmas, M. (2020a) · 2020
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Quantum-like structure in multidimensional relevance judgements
Uprety, S., Tiwari, P., Dehdashti, S., Fell, L., Song, D., Bruza, P., & Melucci, M. (2020) · 2020
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Reason-Checking Fake News
Visser, J., Lawrence, J., & Reed, C. (2020) · 2020
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Assessing the quality of online reviews using formal argumentation theory
Ceolin, D., Primiero, G., Wielemaker, J., & Soprano, M. (2021) · 2021
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