Fake social media news and distorted campaign detection framework using sentiment analysis & machine learning

Author:

Bhardwaj Akashdeep,Bharany Salil,Kim SeongKiORCID

Funder

Ministry of Science, ICT and Future Planning

National Research Foundation of Korea

Publisher

Elsevier BV

Reference43 articles.

1. Archived: WHO Timeline - COVID-19.” https://www.who.int/news/item/27-04-2020-who-timeline---covid-19 (accessed September. 27, 2023).

2. Biden: Social media platforms ‘killing people’ with misinformation - The Hindu BusinessLine.” https://www.thehindubusinessline.com/info-tech/social-media/biden-social-media-platforms-killing-people-with-misinformation/article35376775.ece (accessed September. 27, 2023).

3. Demographics of Social Media Users and Adoption in the United States | Pew Research Center.” https://www.pewresearch.org/internet/fact-sheet/social-media/(accessed September. 27, 2023).

4. Detecting Fake News with Natural Language Processing - Analytics Vidhya.” https://www.analyticsvidhya.com/blog/2021/07/detecting-fake-news-with-natural-language-processing/(accessed September. 27, 2023).

5. Over a decade of social opinion mining: a systematic review;Cortis;Artif. Intell. Rev.,2021

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