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DeepTrust: A Deep Learning Approach for Measuring Social Media Users Trustworthiness

DeepTrust: A Deep Learning Approach for Measuring Social Media Users Trustworthiness

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2479184912

DeepTrust: A Deep Learning Approach for Measuring Social Media Users Trustworthiness

About this item

Full title

DeepTrust: A Deep Learning Approach for Measuring Social Media Users Trustworthiness

Publisher

Ithaca: Cornell University Library, arXiv.org

Journal title

arXiv.org, 2021-01

Language

English

Formats

Publication information

Publisher

Ithaca: Cornell University Library, arXiv.org

More information

Scope and Contents

Contents

Veracity of data posted on the microblog platforms has in recent years been a subject of intensive study by professionals specializing in various fields of informatics as well as sociology, particularly in the light of increasing importance of online tools for news spreading. On Twitter and similar sites, it is possible to report on ongoing situati...

Alternative Titles

Full title

DeepTrust: A Deep Learning Approach for Measuring Social Media Users Trustworthiness

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_2479184912

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2479184912

Other Identifiers

E-ISSN

2331-8422

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