M.S. AAI Capstone Chronicles 2024

Detecting Fake News Using Natural Language Processing

Figure 3: Merged Dataset Fake News Wordcloud Examination of individual and merged data sets Word Clouds provides the following insight. Firstly, named entities such as "Donald Trump," "Hillary Clinton," "United States," and "White House" are prominent, indicating a focus on people, places, and organizations often exploited to make unverifiable claims. Secondly, the prevalence of emotional language with words like "attack", "didn't", "believe", and "doesn’t" suggests an intent to provoke strong reactions in readers. Thirdly, the presence of "pic Twitter" implies dissemination through Twitter, a platform prone to misinformation, urging caution in assessing claims shared there. Lastly, the inclusion of framing indicates manipulation of language to cater to specific audiences, emphasizing the need for critical evaluation and awareness of personal biases when consuming news. Interpreting True News Word Cloud

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