Abstract
The purpose of this research project is to analyze the widespread problem of false and misleading information that is disseminated throughout social media platforms and to evaluate the significant effect that this problem has on society. The research employs a qualitative methodology to investigate the impact that algorithms, user behaviors, and technical characteristics play in amplifying misleading material. The primary objective of the study is to discover patterns and trends connected with the spread of misinformation. Ten professionals in their fields and journalists were chosen for this purpose. In order to transcribe the previously coded data, a number of themes and subthemes were devised and investigated. The purpose of this in-depth inquiry is to improve our knowledge of the intricate dynamics that are associated with the spread of misinformation on social media and to suggest concrete steps that may be taken to counteract the effects of this phenomenon on society.
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