Journalists’ Algorithmic Literacy: Attitudes towards Social Media and Generative AI

This study explores the relationship between Portuguese journalists’ satisfaction with the adoption of digital tools and their algorithmic literacy across cognitive, affective, and behavioral dimensions. Based on an online survey (N = 219) and three focus groups, our findings indicate that a greater proportion of journalists who are overall satisfied with digital tools for their work recognizes the benefits of social media and generative AI, while still acknowledging associated risks. They also declare higher self-perceived competence, yet proficiency in generative AI remains notably low. Additionally, socio-professional differences emerge, with younger journalists and those working in online outlets or local/regional media expressing greater overall satisfaction with digital tools. The findings highlight that individual motivation and organizational context jointly shape algorithmic literacy, underscoring the need for targeted algorithmic literacy initiatives in journalism.

Publication Details

Journal
Repositório Institucional do ISCTE-IUL (ISCTE-IUL)
Published
2025-12-04
DOI
https://doi.org/10.21409/8ah8-qb63
Primary Topic
Ethics and Social Impacts of AI
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Journalists’ Algorithmic Literacy: Attitudes towards Social Media and Generative AI

Repositório Institucional do ISCTE-IUL (ISCTE-IUL)
Ethics and Social Impacts of AI
article

Journalists’ Algorithmic Literacy: Attitudes towards Social Media and Generative AI

article en

Abstract

This study explores the relationship between Portuguese journalists’ satisfaction with the adoption of digital tools and their algorithmic literacy across cognitive, affective, and behavioral dimensions. Based on an online survey (N = 219) and three focus groups, our findings indicate that a greater proportion of journalists who are overall satisfied with digital tools for their work recognizes the benefits of social media and generative AI, while still acknowledging associated risks. They also declare higher self-perceived competence, yet proficiency in generative AI remains notably low. Additionally, socio-professional differences emerge, with younger journalists and those working in online outlets or local/regional media expressing greater overall satisfaction with digital tools. The findings highlight that individual motivation and organizational context jointly shape algorithmic literacy, underscoring the need for targeted algorithmic literacy initiatives in journalism.

Repositório Institucional do ISCTE-IUL (ISCTE-IUL)
Quality Education
Openalex Percentile: Top 36%
Ethics and Social Impacts of AI
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Journalists’ Algorithmic Literacy: Attitudes towards Social Media and Generative AI · Repositório Institucional do ISCTE-IUL (ISCTE-IUL) (2025) | TGRS Research Map | TGRS