Stemming the Tide of Fake News about the COVID-19 Pandemic
While the world has been combating COVID, there has also been an ongoing “Infodemic,” caused by the spread of fake news about the pandemic. Due to the rapid data sharing on social media, the impact of fake news can be quite damaging. Citizens might mistake fakes news for real news. Human lives have...
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| Format: | Article |
| Language: | English |
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LibraryPress@UF
2022-05-01
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| Series: | Proceedings of the International Florida Artificial Intelligence Research Society Conference |
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| Online Access: | https://journals.flvc.org/FLAIRS/article/view/130716 |
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| _version_ | 1849736563288702976 |
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| author | Chih-yuan Li Soon Chun James Geller |
| author_facet | Chih-yuan Li Soon Chun James Geller |
| author_sort | Chih-yuan Li |
| collection | DOAJ |
| description | While the world has been combating COVID, there has also been an ongoing “Infodemic,” caused by the spread of fake news about the pandemic. Due to the rapid data sharing on social media, the impact of fake news can be quite damaging. Citizens might mistake fakes news for real news. Human lives have been lost due to fake information about COVID. Our goal is to identify fake news on social media and help stem the spread by deep learning approaches. To understand the different characteristics in fake and real news, we conducted behavioral and sentiment analyses between fake and real news regarding the COVID pandemic. We then further built detection models based on feature elimination, and we identified differences of model robustness based on selected features. |
| format | Article |
| id | doaj-art-c9eae378aa8344b4af0e73deb839a9b8 |
| institution | DOAJ |
| issn | 2334-0754 2334-0762 |
| language | English |
| publishDate | 2022-05-01 |
| publisher | LibraryPress@UF |
| record_format | Article |
| series | Proceedings of the International Florida Artificial Intelligence Research Society Conference |
| spelling | doaj-art-c9eae378aa8344b4af0e73deb839a9b82025-08-20T03:07:14ZengLibraryPress@UFProceedings of the International Florida Artificial Intelligence Research Society Conference2334-07542334-07622022-05-013510.32473/flairs.v35i.13071666915Stemming the Tide of Fake News about the COVID-19 PandemicChih-yuan Li0Soon Chun1James Geller2New Jersey Institute of TechnologyCollege of Staten IslandNJITWhile the world has been combating COVID, there has also been an ongoing “Infodemic,” caused by the spread of fake news about the pandemic. Due to the rapid data sharing on social media, the impact of fake news can be quite damaging. Citizens might mistake fakes news for real news. Human lives have been lost due to fake information about COVID. Our goal is to identify fake news on social media and help stem the spread by deep learning approaches. To understand the different characteristics in fake and real news, we conducted behavioral and sentiment analyses between fake and real news regarding the COVID pandemic. We then further built detection models based on feature elimination, and we identified differences of model robustness based on selected features.https://journals.flvc.org/FLAIRS/article/view/130716fake news identificationcovid-19machine learningsentiment analysisinfodemicmetadata tags |
| spellingShingle | Chih-yuan Li Soon Chun James Geller Stemming the Tide of Fake News about the COVID-19 Pandemic Proceedings of the International Florida Artificial Intelligence Research Society Conference fake news identification covid-19 machine learning sentiment analysis infodemic metadata tags |
| title | Stemming the Tide of Fake News about the COVID-19 Pandemic |
| title_full | Stemming the Tide of Fake News about the COVID-19 Pandemic |
| title_fullStr | Stemming the Tide of Fake News about the COVID-19 Pandemic |
| title_full_unstemmed | Stemming the Tide of Fake News about the COVID-19 Pandemic |
| title_short | Stemming the Tide of Fake News about the COVID-19 Pandemic |
| title_sort | stemming the tide of fake news about the covid 19 pandemic |
| topic | fake news identification covid-19 machine learning sentiment analysis infodemic metadata tags |
| url | https://journals.flvc.org/FLAIRS/article/view/130716 |
| work_keys_str_mv | AT chihyuanli stemmingthetideoffakenewsaboutthecovid19pandemic AT soonchun stemmingthetideoffakenewsaboutthecovid19pandemic AT jamesgeller stemmingthetideoffakenewsaboutthecovid19pandemic |