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Cited by 15News Media Framing and Political CommunicationJournalism and Media StudiesPublic Relations and Crisis Communication

The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.

Characterizing Communication Patterns between Audiences and Newsbots

Gómez-Zará, Diego, Diakopoulos, Nicholas·2020·Digital Journalism
DOI 10.1080/21670811.2020.1816485
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Abstract

News organizations are increasingly exploring how the use of newsbots can enhance journalism by enabling novel ways to disseminate news and engage with audiences in social media environments. While newsbots have begun to draw attention in journalism studies, little consideration has been given to how audiences perceive and respond to newsbots. Through the lens of human–machine communication (HMC), this article presents a case study of a newsbot interacting with Twitter users who shared news articles from the New York Times (NYT). In particular, we analyzed the Twitter users’ perceptions and responses to the newsbot using qualitative analysis. We found that Twitter users perceived the newsbot in several degrees: from ignoring it, to addressing the content curated by the newsbot, to responding to newsbot itself. Moreover, we found that Twitter users offered a range of opinions, personal experiences, facts, counter-arguments, and affective displays when they addressed the content or the newsbot. We discuss how newsbots can be effective tools to enhance news engagement, the obstacles that they face when they interact in online environments, and reflect on the range of communicative roles that newsbots play with online audiences.

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Metadata

Authors
Gómez-Zará, D., & Diakopoulos, N.
Affiliations
Northwestern University (US)
Corresponding author
Gómez-Zará, Diego
ORCID
Venue
Digital Journalism
Publisher
Informa UK Limited
Published
2020-10-09
Volume
8
Issue
9
Pages
1093-1113
ISSN
  • 2167-0811 (ISSN-L)
  • 2167-082X
DOI
10.1080/21670811.2020.1816485
OpenAlex
W3092300214
Cited by
15
References
6
Citations by year
2026: 1 · 2025: 4 · 2024: 2 · 2023: 1 · 2022: 3 · 2021: 4
FWCI
2.39
Type
journal article
Language
en
Open access
closed
Locations
Digital Journalism (publishedVersion)
Topics
  • Social Sciences › Communication › News Media Framing and Political Communication
  • Social Sciences › Communication › Journalism and Media Studies
  • Social Sciences › Communication › Public Relations and Crisis Communication
Keywords
human-machine communication, audience engagement, Twitter, New York Times, news engagement, affective displays

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Gómez-Zará, D., & Diakopoulos, N. (2020). Characterizing Communication Patterns between Audiences and Newsbots. Digital Journalism. https://doi.org/10.1080/21670811.2020.1816485