How Fake News Differs From Personal Lies
Bibliographic Data
| ID | 3758769 |
|---|---|
| Authors | Ming Ming Chiu (0000-0002-5721-1971, The Education University of Hong Kong, New Territories, Hong Kong SAR, corresponding author), Yu Won Oh (0000-0001-6258-103X, Sejong University, Seoul, Republic of Korea) |
| Year | 2021 |
| Volume | 65 |
| Issue | 2 |
| Pages | 243-258 |
| Publication date | 2021-02-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | American Behavioral Scientist (JOURNAL) |
| Journal identifiers | ISSN: 0002-7642 • E-ISSN: 1552-3381 |
| Publisher | SAGE Publications Inc (PUBLISHER) |
| DOI | 10.1177/0002764220910243 |
| OpenAlex | W3013812549 |
| Language | EN |
| Citations received | 10 |
| References cited | 35 |
Personal lies (girl on date lying to dad) and fake news ( Obama Bans Pledge of Allegiance) both deceive but in different ways, so they require different detection methods. People in long-term relationships try to tell undetectable lies to encourage, often, audience inaction. In contrast, unattached fake news welcome attention and try to ignite audience action. Thus, they differ in six ways: (a) speaker-audience relationship, (b) goal, (c) emotion, (d) information, (e) number of participants, and (f) citation of sources. To detect personal lies, a person can use their intimate relationship to heighten emotions, raise the stakes, and ask for more information, participants, or sources. In contrast, a person evaluates the legitimacy of potential fake news by examining the websites of its author, the people in the news article, and/or reputable media sources. Large social media companies have suitable expertise, data, and resources to reduce fake news. Search tools, rival news media links to one another's articles, encrypted signature links, and improved school curricula might also help users detect fake news
Action (physics) · Advertising · Business · Fake news · Internet privacy · Personally identifiable information · Pledge · Political science · Public relations · Social media · Computer Science · Hate Speech and Cyberbullying Detection · Law · Misinformation and Its Impacts · Psychology · Social Media and Politics
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| Unique citing works | 10 |
|---|---|
| Citations per year | 2 |
| Citation span | 2021 - 2025 (5) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 10 |