Exportar Publicação

A publicação pode ser exportada nos seguintes formatos: referência da APA (American Psychological Association), referência do IEEE (Institute of Electrical and Electronics Engineers), BibTeX e RIS.

Exportar Referência (APA)
Foá, C., Couraceiro, P. & Pinto-Martinho, A. (2024). Decoding algorithmic literacy among journalists: Methodological tool design and validation for preliminary study in the Portuguese context . Observatorio (OBS*). 18 (5)
Exportar Referência (IEEE)
C. Foa et al.,  "Decoding algorithmic literacy among journalists: Methodological tool design and validation for preliminary study in the Portuguese context ", in Observatorio (OBS*), vol. 18, no. 5, 2024
Exportar BibTeX
@article{foa2024_1728390210111,
	author = "Foá, C. and Couraceiro, P. and Pinto-Martinho, A.",
	title = "Decoding algorithmic literacy among journalists: Methodological tool design and validation for preliminary study in the Portuguese context ",
	journal = "Observatorio (OBS*)",
	year = "2024",
	volume = "18",
	number = "5",
	doi = "10.15847/obsOBS18520242433",
	url = "https://obs.obercom.pt/index.php/obs/article/view/2433"
}
Exportar RIS
TY  - JOUR
TI  - Decoding algorithmic literacy among journalists: Methodological tool design and validation for preliminary study in the Portuguese context 
T2  - Observatorio (OBS*)
VL  - 18
IS  - 5
AU  - Foá, C.
AU  - Couraceiro, P.
AU  - Pinto-Martinho, A.
PY  - 2024
SN  - 1646-5954
DO  - 10.15847/obsOBS18520242433
UR  - https://obs.obercom.pt/index.php/obs/article/view/2433
AB  - Recent developments in generative Artificial Intelligence (AI) have revitalized academic discourse on algorithmic  systems,  particularly  on  their  potential,  ethical  considerations,  risks,  and  regulatory challenges. Extensive research has examined how algorithms affect communication processes, focusing on their influence on news organizations, journalistic practices, public-media dynamics, media literacy, and combating disinformation and filter bubbles.An  emergent  strand  of  research  defines  and  measures  the  multidimensional  concept  of  algorithmic literacy. However limited research exists on the intersection of algorithmic literacy and journalism. This gap is particularly concerning given the pivotal roleof journalism in shaping public discourse, informing citizens,  upholding  democratic  values  and  contrasting  disinformation. Understanding  how  journalists perceive  and  engage  with  algorithms  is  essential,  as  these  technologies  significantly  influence  their professional tasks, including content production and distribution.In Portugal, where newcomer journalists work in precarious conditions and digital media transformation is rapidly  evolving, understanding how journalists interact with and perceive algorithms is vital. Our study, through a multi-phased approach, aims to fill this gap questioning how can algorithmic literacy, encompassing  cognitive,  attitudinal  and  behavioural  dimensions,  be  effectively  assessed  among professional journalists?The  exploratory  results  present  a  validated  methodological  tool,  instrument  based  on  a  multi-dimensional analytical framework and specifically designed to measure algorithmic literacy levels and to assess journalists’ experiences. Critical discussion addresses  the  methodological  procedures  and preliminary  findings  from  the  pre-test,  offering  insights  into  Portuguese  journalists'  understanding, perceptions, and competencies regarding algorithmic systems.By shedding light on the cognitive, affective, and behavioural aspects of journalists’ engagement with algorithms,  this  study  contributes  to  a  deeper  understanding  of  the  algorithmic  literacy  among journalists,  which  is essential  to  sustain  the  quality  of their  work  and for  an  effective  counteraction against disinformation. It also opens avenues for similar studies in other geographical or professional contexts.

ER  -