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The explosive growth of fake news and its erosion to democracy, journalism and economy has increased the demand for fake news detection. To achieve efficient and explainable fake news detection, […]
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The popularity of social media platforms such as Twitter has led to the proliferation of automated bots, creating both opportunities and challenges in information dissemination, user engagements, and quality of […]
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A social bot is a piece of software designed to have a presence on the Internet, especially on social media. Bots are algorithms acting on social media networks, engineered to […]
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Reducing the spread of misinformation, especially on social media, is a major challenge. We investigate one potential approach: having social media platform algorithms preferentially display content from news sources that […]
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Recent shifts in the media ecosystem raise new concerns about the vulnerability of democratic societies to fake news and the public’s limited ability to contain it. Fake news as a […]
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This paper presents an early stage exploratory analysis of communities engaging in alternative narratives about crisis events on social media. Over 11,000 user accounts on Twitter engaged in conversations questioning […]
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Online social networks like Slashdot bring valuable information to millions of users – but their accuracy is based on the integrity of their user base. Unfortunately, there are many “trolls” […]
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Social media are vulnerable to deceptive social bots, which can impersonate humans to amplify misinformation and manipulate opinions. Little is known about the large-scale consequences of such pollution operations. Here […]
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Search Engines have greatly influenced the way we experience the web. Since the early days of the web, users have been relying on them to get informed and make decisions. […]
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Astroturfing is the practice of an organization communicating a message using fake “grass-roots” sources. Because these messages attempt to mimic ordinary individuals, distinguishing them from real grass-roots messages is a […]
