Thesis statement: Internet technologies enable the proliferation of fake news, and only education and awareness can curtail the influence fake news has on society. Evidence: A viral post on social media is more likely to be perceived of as true than one that can be fact-checked (Papanastasiou, 2017).
A. Claim: Prior exposure to a fake news story makes a person more likely to believe in the veracity of the information.
1. Evidence: Just a one-time exposure to a fake news item on a social media platform like Facebook increases the likelihood that a person will believe the fake news story, with the effects lasting as long as a week (Pennycook, Cannon, & Rand, 2017).
2. Evidence: The prior exposure phenomenon is a type of confirmation bias, whereby “ We pick out those bits of data that make us feel good because they confirm our prejudices,” (Heshmat, 2015, p. 1).
B. Claim: Mob mentality is at work with fake news, as research shows a viral post is more likely to be perceived as trustworthy even when it is fake.
1. Evidence: Becker (2016) notes that the proliferation of fake news is akin to a mob mentality, whereby ...
C. Claim: Free speech enables the creation and dissemination of fake news, and free speech can also be the most effective weapon against fake news.
1. Evidence: Librarians are at the forefront of media literacy, and can help stop fake news (Becker, 2016).
2. Evidence: Aggressive and systematic tagging of fake news is essential because anything that is not tagged as “fake” will be perceived of as real (Pennycook & Rand, 2017).
D. Claim: Technological tools can help prevent fake news from proliferating, even though it is technological tools that cause fake news to be so easily propagated.
1. Evidence: There are ways of “curbing social bots,” (Shao, Ciampaglia, Varol, et al, 2017, p. 1).
2. Evidence: Using technology would be “an effective strategy for mitigating the spread of online misinformation,” (Shao, Ciampaglia, Varol, et al, 2017, p. 1).
3. Evidence: To overcome the problems with algorithms, it is also important to target audiences and bots that are geared towards vulnerable populations like “Trump supporters and young adults,” (Pennycook & Rand, 2017, p.…
Evidence: A viral post on social media is more likely to be perceived of as true than one that can be fact-checked (Papanastasiou, 2017).
Fake News Detection Introduction How can fake news be detected and prevented from dominating the online discourse of news events? Numerous researchers have been discussing this issue and identifying ways to detect fake news, whether on social media (Shu et al.) or by creating a benchmark dataset to facilitate the process (Wang). The topic of this study is fake news detection and what methods are available in this new field. The reason
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