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Truth finding on the deep web
3 references·15 citing·38 second hop
Truth finding on the deep web (2012)Truth finding on the deep webA Bayesian approach to discovering truth from conflicting sources for data integration (2012)A Bayesian approach to discov…Integrating conflicting data (2009)Integrating conflicting dataData fusion (2009)Data fusionData market platforms (2020)Data market platformsBaran (2020)BaranMetadata-driven error detection (2018)Metadata-driven error detecti…Data Integration and Machine Learning (2018)Data Integration and Machine …Where the Truth Lies (2017)Where the Truth LiesMedienbildung in der Schule. Blinde Flecken und Spannungsfelder in einer Kultur der Digitalität (2017)Medienbildung in der Schule. …Credibility Assessment of Textual Claims on the Web (2016)Credibility Assessment of Tex…Temporal rules discovery for web data cleaning (2015)Temporal rules discovery for …On the Meaningfulness of “Big Data Quality” (Invited Paper) (2015)On the Meaningfulness of “Big…Finding Quality in Quantity: The Challenge of Discovering Valuable Sources for Integration (2015)Finding Quality in Quantity: …Data quality issues in big data (2015)Data quality issues in big da…From data fusion to knowledge fusion (2014)From data fusion to knowledge…Characterizing and selecting fresh data sources (2014)Characterizing and selecting …Data Fusion: Resolving Conflicts from Multiple Sources (2013)Data Fusion: Resolving Confli…Less is more (2012)Less is moreThe Eigentrust algorithm for reputation management in P2P networks (2003)Foundations of Data Quality Management (2012)DeClarE: Debunking Fake News and False Claims using Evidence-Aware Deep Learning (2018)Information credibility on twitter (2011)Rumor has it: Identifying Misinformation in Microblogs (2011)Prominent Features of Rumor Propagation in Online Social Media (2013)Investigating the emotional appeal of fake news using artificial intelligence and human contributions (2019)Evidence-aware Fake News Detection with Graph Neural Networks (2022)Dual emotion based fake news detection: A deep attention-weight update approach (2023)Detecting rumors from microblogs with recurrent neural networks (2016)Leveraging Emotional Signals for Credibility Detection (2019)Proppy: Organizing the news based on their propagandistic content (2019)Advancing Fake News Detection: Hybrid Deep Learning With FastText and Explainable AI (2024)A Theory for Record Linkage (1969)Interactive deduplication using active learning (2002)Big Data Integration (2013)In Search of Big Medical Data Integration Solutions - A Comprehensive Survey (2019)ZeroER: Entity Resolution using Zero Labeled Examples (2020)The Four Generations of Entity Resolution (2021)Optimal Auction Design (1981)Privacy as Contextual Integrity (2004)The Economics of Privacy (2016)A Survey of Data Marketplaces and Their Business Models (2022)Data pricing in machine learning pipelines (2022)The impact of data elements marketization on corporate financing constraints: Quasi-experimental evidence from the establishment of data trading platforms in China (2024)A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting (1997)Rayyan—a web and mobile app for systematic reviews (2016)HoloClean (2017)Rotom (2021)RPT (2021)Data cleaning and machine learning: a systematic literature review (2024)Incremental knowledge base construction using DeepDive (2015)Leveraging the Crowd to Detect and Reduce the Spread of Fake News and Misinformation (2018)Fusion in stock market prediction: A decade survey on the necessity, recent developments, and potential future directions (2020)Unsupervised Fake News Detection on Social Media: A Generative Approach (2019)Data Wrangling for Big Data: Challenges and Opportunities (2016)Methodologies for Cross-Domain Data Fusion: An Overview (2015)Implications of the use of artificial intelligence in public governance: A systematic literature review and a research agenda (2021)
this work references cited by second hop

References

  • 2009Data fusion1,848 cited
  • 2009Integrating conflicting data423 cited
  • 2012A Bayesian approach to discovering truth from conflicting sources for data integration360 cited

Cited by

  • 2014From data fusion to knowledge fusion237 cited
  • 2017Where the Truth Lies213 cited
  • 2016Credibility Assessment of Textual Claims on the Web177 cited
  • 2012Less is more157 cited
  • 2020Data market platforms150 cited
  • 2020Baran103 cited
  • 2018Data Integration and Machine Learning95 cited
  • 2015On the Meaningfulness of “Big Data Quality” (Invited Paper)85 cited
  • 2014Characterizing and selecting fresh data sources60 cited
  • 2015Temporal rules discovery for web data cleaning55 cited
  • 2013Data Fusion: Resolving Conflicts from Multiple Sources41 cited
  • 2015Data quality issues in big data40 cited
  • 2015Finding Quality in Quantity: The Challenge of Discovering Valuable Sources for Integration38 cited
  • 2018

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Metadata-driven error detection
35 cited
  • 2017Medienbildung in der Schule. Blinde Flecken und Spannungsfelder in einer Kultur der Digitalität24 cited