| 000 -LEADER |
|---|
| fixed length control field |
01659nam a22001577a 4500 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
|---|
| fixed length control field |
210929b ||||| |||| 00| 0 eng d |
| 100 ## - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
Chiu, Ming Ming and Oh, Yu Won |
| 245 ## - TITLE STATEMENT |
|---|
| Title |
How fake news differs from personal lies |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
|---|
| Place of publication, distribution, etc |
American Behavioral Scientist |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
65(2), Feb, 2021: p.243-258 |
| 520 ## - SUMMARY, ETC. |
|---|
| Summary, etc |
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. – Reproduced |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Fake news, Personal lies, Speaker–audience relationship, Social media |
| 9 (RLIN) |
27810 |
| 773 ## - HOST ITEM ENTRY |
|---|
| Main entry heading |
American Behavioral Scientist |
| 906 ## - LOCAL DATA ELEMENT F, LDF (RLIN) |
|---|
| Subject DIP |
MASS MEDIA |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Item type |
Articles |
