TY - JOUR
T1 - The Str(AI)ght Scoop
T2 - Artificial Intelligence Cues Reduce Perceptions of Hostile Media Bias
AU - Cloudy, Joshua
AU - Banks, Jaime
AU - Bowman, Nicholas David
N1 - Publisher Copyright:
© 2021 Informa UK Limited, trading as Taylor & Francis Group.
PY - 2021
Y1 - 2021
N2 - In the face of increasing public distrust for journalistic institutions, stories sourced from artificially intelligent (AI) journalists have the potential to lower hostile media bias by activating the machine heuristic—a mental shortcut assuming machines are more unbiased, systematic, and accurate than are humans. An online experiment targeting issue partisans found support for the prediction: a story presented as sourced from an AI journalist activated the machine heuristic that, in turn, mitigated hostile media bias. This mediation effect was moderated: perceived bias was more strongly reduced as partisan-attitude extremity increased.
AB - In the face of increasing public distrust for journalistic institutions, stories sourced from artificially intelligent (AI) journalists have the potential to lower hostile media bias by activating the machine heuristic—a mental shortcut assuming machines are more unbiased, systematic, and accurate than are humans. An online experiment targeting issue partisans found support for the prediction: a story presented as sourced from an AI journalist activated the machine heuristic that, in turn, mitigated hostile media bias. This mediation effect was moderated: perceived bias was more strongly reduced as partisan-attitude extremity increased.
KW - AI journalism
KW - Human-machine communication
KW - automated journalism
KW - hostile media bias
KW - hostile media effect
KW - human-computer interaction
KW - machine agents
KW - robot journalism
UR - http://www.scopus.com/inward/record.url?scp=85114359101&partnerID=8YFLogxK
U2 - 10.1080/21670811.2021.1969974
DO - 10.1080/21670811.2021.1969974
M3 - Article
AN - SCOPUS:85114359101
JO - Digital Journalism
JF - Digital Journalism
SN - 2167-0811
ER -