{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"volume":["19(7)"],"submitter":["Khanday AMUD"],"pubmed_abstract":["Social media platforms serve as communication tools where users freely share information regardless of its accuracy. Propaganda on these platforms refers to the dissemination of biased or deceptive information aimed at influencing public opinion, encompassing various forms such as political campaigns, fake news, and conspiracy theories. This study introduces a Hybrid Feature Engineering Approach for Propaganda Identification (HAPI), designed to detect propaganda in text-based content like news articles and social media posts. HAPI combines conventional feature engineering methods with machine learning techniques to achieve high accuracy in propaganda detection. This study is conducted on data collected from Twitter via its API, and an annotation scheme is proposed to categorize tweets into"],"journal":["PloS one"],"pagination":["e0302583"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC11236156"],"repository":["biostudies-literature"],"pubmed_title":["HAPI: An efficient Hybrid Feature Engineering-based Approach for Propaganda Identification in social media."],"pmcid":["PMC11236156"],"pubmed_authors":["Khan QR","Khanday AMUD","Abd El-Latif AA","Rabani ST","Wani MA"],"additional_accession":[]},"is_claimable":false,"name":"HAPI: An efficient Hybrid Feature Engineering-based Approach for Propaganda Identification in social media.","description":"Social media platforms serve as communication tools where users freely share information regardless of its accuracy. Propaganda on these platforms refers to the dissemination of biased or deceptive information aimed at influencing public opinion, encompassing various forms such as political campaigns, fake news, and conspiracy theories. This study introduces a Hybrid Feature Engineering Approach for Propaganda Identification (HAPI), designed to detect propaganda in text-based content like news articles and social media posts. HAPI combines conventional feature engineering methods with machine learning techniques to achieve high accuracy in propaganda detection. This study is conducted on data collected from Twitter via its API, and an annotation scheme is proposed to categorize tweets into","dates":{"release":"2024-01-01T00:00:00Z","publication":"2024","modification":"2025-04-19T01:07:40.095Z","creation":"2025-04-07T12:02:34.971Z"},"accession":"S-EPMC11236156","cross_references":{"pubmed":["38985703"],"doi":["10.1371/journal.pone.0302583"]}}