Combating fake news with computational intelligence techniques:
Part I: State-of-the-art -- Online Fake News Detection Using Machine Learning Techniques: A Systematic Mapping Study -- Using Artificial Intelligence against the Phenomenon of Fake News: a Systematic Literature Review -- Fake news detection in internet using deep learning: A review -- Part II: Machi...
Gespeichert in:
| Weitere Verfasser: | , , , |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Cham
Springer
[2022]
|
| Schriftenreihe: | Studies in computational intelligence
volume 1001 |
| Schlagworte: | |
| Zusammenfassung: | Part I: State-of-the-art -- Online Fake News Detection Using Machine Learning Techniques: A Systematic Mapping Study -- Using Artificial Intelligence against the Phenomenon of Fake News: a Systematic Literature Review -- Fake news detection in internet using deep learning: A review -- Part II: Machine Learning Techniques and Fake News -- Early Detection of Fake News from Social Media Networks using Computational Intelligence Approaches -- Fandet Semantic Model: An OWL Ontology for Context-Based Fake News Detection on Social Media -- Fake News Detection using Machine Learning and Natural Language Processing -- Fake News Detection using Ensemble Learning and Machine Learning Algorithms -- Evaluation of Machine Learning Methods for Fake News Detection -- Credibility and Reliability News Evaluation Based on Artificial Intelligent Service with Feature Segmentation Searching and Dynamic Clustering -- Deep Learning with Self-Attention Mechanism for Fake News Detection -- Modeling and solving the fake news detection scheduling problem -- Part III: Case Studies and Frameworks -- The multiplier effect on the dissemination of false speeches on social networks: Experiment during the silly season in Spain -- Detecting News Influence in a Country: One Step Forward Towards Understanding Fake News -- Factors Affecting the Intention of Using Fintech Services in the Context of Combating of Fake News -- Crowd Sourcing and Blockchain-based Incentive Mechanism to Combat Fake News -- Framework for Fake News Classification using Vectorization and Machine Learning -- Fact Checking: An Automatic end to end Fact Checking System -- Part IV: Fake news and Covid-19 pandemic -- False Information in a Post Covid-19 World -- Applying Fuzzy Logic and Neural Network in Sentiment Analysis for fake news detection: Case of Covid-19 -- Analyzing Deep Learning Optimizers for COVID-19 Fake News Detection -- Detecting Fake News On COVID-19 Vaccine from YouTube Videos Using Advanced Machine Learning Approaches |
| Beschreibung: | xiii, 435 Seiten Illustrationen, Diagramme (überwiegend farbig) |
| ISBN: | 9783030900861 |
Internformat
MARC
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| 520 | 3 | |a Modeling and solving the fake news detection scheduling problem -- Part III: Case Studies and Frameworks -- The multiplier effect on the dissemination of false speeches on social networks: Experiment during the silly season in Spain -- Detecting News Influence in a Country: One Step Forward Towards Understanding Fake News -- Factors Affecting the Intention of Using Fintech Services in the Context of Combating of Fake News -- Crowd Sourcing and Blockchain-based Incentive Mechanism to Combat Fake News -- Framework for Fake News Classification using Vectorization and Machine Learning -- Fact Checking: An Automatic end to end Fact Checking System -- Part IV: Fake news and Covid-19 pandemic -- False Information in a Post Covid-19 World -- Applying Fuzzy Logic and Neural Network in Sentiment Analysis for fake news detection: Case of Covid-19 -- Analyzing Deep Learning Optimizers for COVID-19 Fake News Detection -- | |
| 520 | 3 | |a Detecting Fake News On COVID-19 Vaccine from YouTube Videos Using Advanced Machine Learning Approaches | |
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| 653 | 0 | |a Artificial intelligence | |
| 653 | 0 | |a Engineering—Data processing | |
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Datensatz im Suchindex
| _version_ | 1804183138792898560 |
|---|---|
| adam_txt | |
| any_adam_object | |
| any_adam_object_boolean | |
| author2 | Lahby, Mohamed Pathan, Al-Sakib Khan Maleh, Yassine Yafooz, Wael Mohamed Shaher |
| author2_role | edt edt edt edt |
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| author_facet | Lahby, Mohamed Pathan, Al-Sakib Khan Maleh, Yassine Yafooz, Wael Mohamed Shaher |
| building | Verbundindex |
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| dewey-full | 006.3 |
| dewey-hundreds | 000 - Computer science, information, general works |
| dewey-ones | 006 - Special computer methods |
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| discipline | Informatik |
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| id | DE-604.BV047664885 |
| illustrated | Illustrated |
| index_date | 2024-07-03T18:53:38Z |
| indexdate | 2024-07-10T09:18:41Z |
| institution | BVB |
| isbn | 9783030900861 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-033049639 |
| oclc_num | 1298745703 |
| open_access_boolean | |
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| owner_facet | DE-522 DE-11 |
| physical | xiii, 435 Seiten Illustrationen, Diagramme (überwiegend farbig) |
| publishDate | 2022 |
| publishDateSearch | 2022 |
| publishDateSort | 2022 |
| publisher | Springer |
| record_format | marc |
| series | Studies in computational intelligence |
| series2 | Studies in computational intelligence |
| spelling | Combating fake news with computational intelligence techniques Mohamed Lahby, Al-Sakib Khan Pathan, Yassine Maleh, Wael Mohamed Shaher Yafooz, editors Cham Springer [2022] © 2022 xiii, 435 Seiten Illustrationen, Diagramme (überwiegend farbig) txt rdacontent n rdamedia nc rdacarrier Studies in computational intelligence volume 1001 Part I: State-of-the-art -- Online Fake News Detection Using Machine Learning Techniques: A Systematic Mapping Study -- Using Artificial Intelligence against the Phenomenon of Fake News: a Systematic Literature Review -- Fake news detection in internet using deep learning: A review -- Part II: Machine Learning Techniques and Fake News -- Early Detection of Fake News from Social Media Networks using Computational Intelligence Approaches -- Fandet Semantic Model: An OWL Ontology for Context-Based Fake News Detection on Social Media -- Fake News Detection using Machine Learning and Natural Language Processing -- Fake News Detection using Ensemble Learning and Machine Learning Algorithms -- Evaluation of Machine Learning Methods for Fake News Detection -- Credibility and Reliability News Evaluation Based on Artificial Intelligent Service with Feature Segmentation Searching and Dynamic Clustering -- Deep Learning with Self-Attention Mechanism for Fake News Detection -- Modeling and solving the fake news detection scheduling problem -- Part III: Case Studies and Frameworks -- The multiplier effect on the dissemination of false speeches on social networks: Experiment during the silly season in Spain -- Detecting News Influence in a Country: One Step Forward Towards Understanding Fake News -- Factors Affecting the Intention of Using Fintech Services in the Context of Combating of Fake News -- Crowd Sourcing and Blockchain-based Incentive Mechanism to Combat Fake News -- Framework for Fake News Classification using Vectorization and Machine Learning -- Fact Checking: An Automatic end to end Fact Checking System -- Part IV: Fake news and Covid-19 pandemic -- False Information in a Post Covid-19 World -- Applying Fuzzy Logic and Neural Network in Sentiment Analysis for fake news detection: Case of Covid-19 -- Analyzing Deep Learning Optimizers for COVID-19 Fake News Detection -- Detecting Fake News On COVID-19 Vaccine from YouTube Videos Using Advanced Machine Learning Approaches Falschmeldung (DE-588)4294308-5 gnd rswk-swf Erkennung (DE-588)4328500-4 gnd rswk-swf Maschinelles Lernen (DE-588)4193754-5 gnd rswk-swf Künstliche Intelligenz (DE-588)4033447-8 gnd rswk-swf Computational intelligence Social media Artificial intelligence Engineering—Data processing Big data Falschmeldung (DE-588)4294308-5 s Erkennung (DE-588)4328500-4 s Künstliche Intelligenz (DE-588)4033447-8 s Maschinelles Lernen (DE-588)4193754-5 s DE-604 Lahby, Mohamed edt Pathan, Al-Sakib Khan edt Maleh, Yassine edt Yafooz, Wael Mohamed Shaher edt 9783030900885 9783030900892 Erscheint auch als Online-Ausgabe 978-3-030-90087-8 Studies in computational intelligence volume 1001 (DE-604)BV020822171 1001 |
| spellingShingle | Combating fake news with computational intelligence techniques Studies in computational intelligence Falschmeldung (DE-588)4294308-5 gnd Erkennung (DE-588)4328500-4 gnd Maschinelles Lernen (DE-588)4193754-5 gnd Künstliche Intelligenz (DE-588)4033447-8 gnd |
| subject_GND | (DE-588)4294308-5 (DE-588)4328500-4 (DE-588)4193754-5 (DE-588)4033447-8 |
| title | Combating fake news with computational intelligence techniques |
| title_auth | Combating fake news with computational intelligence techniques |
| title_exact_search | Combating fake news with computational intelligence techniques |
| title_exact_search_txtP | Combating fake news with computational intelligence techniques |
| title_full | Combating fake news with computational intelligence techniques Mohamed Lahby, Al-Sakib Khan Pathan, Yassine Maleh, Wael Mohamed Shaher Yafooz, editors |
| title_fullStr | Combating fake news with computational intelligence techniques Mohamed Lahby, Al-Sakib Khan Pathan, Yassine Maleh, Wael Mohamed Shaher Yafooz, editors |
| title_full_unstemmed | Combating fake news with computational intelligence techniques Mohamed Lahby, Al-Sakib Khan Pathan, Yassine Maleh, Wael Mohamed Shaher Yafooz, editors |
| title_short | Combating fake news with computational intelligence techniques |
| title_sort | combating fake news with computational intelligence techniques |
| topic | Falschmeldung (DE-588)4294308-5 gnd Erkennung (DE-588)4328500-4 gnd Maschinelles Lernen (DE-588)4193754-5 gnd Künstliche Intelligenz (DE-588)4033447-8 gnd |
| topic_facet | Falschmeldung Erkennung Maschinelles Lernen Künstliche Intelligenz |
| volume_link | (DE-604)BV020822171 |
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