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Title:
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HOW DO FAKE NEWS PROPAGATORS EXPLOIT SOCIAL
ALGORITHMS TO PROMOTE THEIR CONTENTS? |
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Author(s):
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Ittipon Rassameeroj1 and Shyhtsun Felix W |
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ISBN:
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978-989-8704-19-1 |
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Editors:
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Piet Kommers and Guo Chao Peng |
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Year:
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2020 |
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Edition:
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Single |
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Keywords:
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Fake News, Misinformation, Social Algorithms, Social Media, Facebook Fan Pages, Online Public Communities |
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Type:
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Full |
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First Page:
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157 |
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Last Page:
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164 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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Social media has currently become a primary platform to consume and exchange information. Instead of browsing
through media source websites we are interested, we have enabled social media to deliver related contents to us. As a
black box, social algorithms were designed and trained to pick up, filter, and rank the most relevant and desired contents
to be delivered to each individual one of us. In addition, social media allows us to add more contents as a comment on an
original post, which we call user-created content. Unfortunately, a lot of fake news contents have been created and
disseminated in Facebook fan pages. Many of them could draw many attentions from users. Our research question is how
do fake news propagators successfully make their contents be more visible and disseminate it to many users through
social algorithms? In this work, we explored behavior and activities of fake news propagators and their trapped recipient
to understand how social algorithms widely delivered those contents to many users on Facebook fan pages. From our
SINCERE data, we extracted top 300 fake news comments that got the highest number of participants as our data set. We
statistically analyzed the data set based on our hypotheses, which were mainly from our previous work of
reverse-engineering for content delivery algorithms in social media and from what we observed from the SINCERE data.
Our main contribution for this work is to understand behaviors, activities, and strategies of fake news propagators who
successfully disseminated their contents to many users through social algorithms on Facebook. |
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