Abstract
Automated journalism – the use of algorithms in writing news reports – underscores the new direction of media transformation in the 21st century as it may reshape how the news is produced and consumed. Such writing algorithms have been increasingly adopted in U.S. and Chinese newsroom, but how well they are accepted by news users deserves more research. A comparative study was thus conducted to examine how U.S. and Chinese news users perceive the quality of algorithm-generated news reports, how much they like and trust such reports. Results show that U.S. and Chinese users demonstrated more shared, rather than different, perceptions to automated news. The users did not perceive automated content in a linear way, but viewed them by considering the interaction of the authors (i.e., journalists or algorithms), the media outlets (i.e., traditional or online media) and cultural background (i.e., U.S. or Chinese users).
| Original language | English (US) |
|---|---|
| Pages (from-to) | 266-275 |
| Number of pages | 10 |
| Journal | Computers in Human Behavior |
| Volume | 86 |
| DOIs | |
| State | Published - Sep 2018 |
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All Science Journal Classification (ASJC) codes
- Arts and Humanities (miscellaneous)
- Human-Computer Interaction
- Psychology(all)
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When algorithms meet journalism : The user perception to automated news in a cross-cultural context. / Zheng, Yue; Zhong, Bu; Yang, Fan.
In: Computers in Human Behavior, Vol. 86, 09.2018, p. 266-275.Research output: Contribution to journal › Article
TY - JOUR
T1 - When algorithms meet journalism
T2 - The user perception to automated news in a cross-cultural context
AU - Zheng, Yue
AU - Zhong, Bu
AU - Yang, Fan
PY - 2018/9
Y1 - 2018/9
N2 - Automated journalism – the use of algorithms in writing news reports – underscores the new direction of media transformation in the 21st century as it may reshape how the news is produced and consumed. Such writing algorithms have been increasingly adopted in U.S. and Chinese newsroom, but how well they are accepted by news users deserves more research. A comparative study was thus conducted to examine how U.S. and Chinese news users perceive the quality of algorithm-generated news reports, how much they like and trust such reports. Results show that U.S. and Chinese users demonstrated more shared, rather than different, perceptions to automated news. The users did not perceive automated content in a linear way, but viewed them by considering the interaction of the authors (i.e., journalists or algorithms), the media outlets (i.e., traditional or online media) and cultural background (i.e., U.S. or Chinese users).
AB - Automated journalism – the use of algorithms in writing news reports – underscores the new direction of media transformation in the 21st century as it may reshape how the news is produced and consumed. Such writing algorithms have been increasingly adopted in U.S. and Chinese newsroom, but how well they are accepted by news users deserves more research. A comparative study was thus conducted to examine how U.S. and Chinese news users perceive the quality of algorithm-generated news reports, how much they like and trust such reports. Results show that U.S. and Chinese users demonstrated more shared, rather than different, perceptions to automated news. The users did not perceive automated content in a linear way, but viewed them by considering the interaction of the authors (i.e., journalists or algorithms), the media outlets (i.e., traditional or online media) and cultural background (i.e., U.S. or Chinese users).
UR - http://www.scopus.com/inward/record.url?scp=85047989851&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85047989851&partnerID=8YFLogxK
U2 - 10.1016/j.chb.2018.04.046
DO - 10.1016/j.chb.2018.04.046
M3 - Article
AN - SCOPUS:85047989851
VL - 86
SP - 266
EP - 275
JO - Computers in Human Behavior
JF - Computers in Human Behavior
SN - 0747-5632
ER -