The Effects of Anthropomorphism on How People Evaluate Algorithm-Written News
Bibliographic Data
| ID | 22010681 |
|---|---|
| Authors | Wonseok Jang (0000-0003-1237-6163, Sungkyunkwan University, corresponding author), Jung Won Chun (0000-0002-5631-3474, Sejong University), Soojin Kim (0000-0003-3141-8621, Louisiana State University), Young Woo Kang (Sungkyunkwan University) |
| Year | 2023 |
| Volume | 11 |
| Issue | 1 |
| Pages | 103-124 |
| Publication date | 2023-01-02 |
| Peer Reviewed | Yes |
| Open Access | No |
| Type | ARTICLE |
| Venue | Digital Journalism (JOURNAL) |
| Journal identifiers | ISSN: 2167-0811 • E-ISSN: 2167-082X |
| Publisher | Informa UK Limited (PUBLISHER • GB) |
| DOI | 10.1080/21670811.2021.1976064 |
| OpenAlex | W3201258836 |
| Language | EN |
| Citations received | 15 |
| References cited | 51 |
Based on the Modality-Agency-Interactivity-Navigability model and the anthropomorphism theory, this study examines whether embedding human-like characteristics in algorithms increases the persuasiveness of algorithm-written news. This study further investigates how different types of relationships (servant or friend) that human writers form with algorithms determine the persuasiveness of algorithm-generated news. Experiment 1 demonstrated that participants who read the human- and humanized algorithm-written news showed greater emotional involvement in the stories and liked the articles more than those who read the algorithm-written news. The participants also reported that news written by humans, humanized algorithms, and algorithms, had equal news credibility. Experiment 2 further showed that the participants perceived the news as more credible and experienced greater degrees of emotional involvement when human writers formed a partner-to-friend relationship with humanized algorithms while generating news rather than a servant-to-master relationship
Algorithm · Credibility · Epistemology · Generalizability theory · Interactivity · Journalism · Media studies · Servant · Sociology · World Wide Web · AI in Service Interactions · Computer Science · Media Influence and Health · Misinformation and Its Impacts · Psychology · Artificial Intelligence
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| Unique citing works | 15 |
|---|---|
| Citations per year | 3,75 |
| Citation span | 2022 - 2026 (5) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 14 |