Learning about climate change with algorithmic news?
A two-wave panel study examining the role of
“news-finds-me” perception

Dublin Core

Title

Learning about climate change with algorithmic news?
A two-wave panel study examining the role of
“news-finds-me” perception

Subject

News-finds-me perception, NFM, algorithmic news, discussion network heterogeneity, climate change knowledge.

Description

In an ambient news environment, people often believe that they can be well-informed without actively seeking news, resulting in the “news-
finds-me” (NFM) perception. Leveraging a two-wave panel survey in China (W1 N 1⁄4 1,465; W2 N 1⁄4 1,015), we examined the impact of the NFM

perception on climate change knowledge. Findings showed that NFM did not influence climate change knowledge, while algorithmic news atti-
tude (ANA) played a mediating role. Specifically, NFM was positively associated with ANA, which in turn facilitated knowledge. Furthermore,

this relationship was moderated by discussion network heterogeneity. The positive effect of ANA and the positive indirect effect of NFM on cli-
mate change knowledge were stronger among those with a more heterogeneous discussion network. Implications are discussed.

Creator

Yan Su , PhD1

, Chen Luo, PhD2,3,�, Porismita Borah PhD4

Source

https://doi.org/10.1093/jcmc/zmae010

Publisher

Oxford University Press on behalf of International Communication Association.

Date

June 11, 2024

Contributor

PERI IRAWAN

Format

PDF

Language

ENGLISH

Type

TEXT

Files

Collection

Citation

Yan Su , PhD1 , Chen Luo, PhD2,3,�, Porismita Borah PhD4, “Learning about climate change with algorithmic news?
A two-wave panel study examining the role of
“news-finds-me” perception,” Repository Horizon University Indonesia, accessed May 22, 2025, https://repository.horizon.ac.id/items/show/8786.