الـرأي العـام، الـذكاء الاصطناعـي، المعلومـات المضللـة، تحليـل كلمـات مفتاحيـة: المــشاعر. Abstract: The study aims to identify the key applications of artificial intelligence in measuring public opinion trends and the algorithms used for information manipulation that mislead public sentiment. It seeks to answer the following complex questions: How are AI applications utilised to measure public opinion trends? How are they employed to disseminate misleading information that deceives and distorts public awareness? To explore these issues, the study employs a cybernetic epistemological framework based on Karl Popper's theory of evolution, revealing the role of artificial intelligence in analysing public opinion trends. It relies on data from social media users to assess sentiments and extract opinions, and it examines how media institutions utilise AI in public opinion polling related to elections, the impact of generative AI on misleading information, and the political targeting of voters. The findings indicate that the use of AI in measuring public opinion through sentiment analysis algorithms has allowed these tools to outperform traditional polling methods, providing more accurate, faster and cost-effective estimates of electoral outcomes. Additionally, the study highlights that big data from social media users has opened new avenues for applying AI algorithms to analyse sentiments, understand user interests, trends and preferences. This information can be leveraged for precise political targeting and to diversify advertising content, enhancing the effectiveness of campaigns aimed at specific user segments and motivating them to engage with the initiatives. Keywords: Public Opinion, Artificial Intelligence, Misinformation, Sentiment Analysis.
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