Decoding algorithmic literacy among journalists: Methodological tool design and validation for preliminary study in the Portuguese context

Detalhes bibliográficos
Autor(a) principal: Foá, C.
Data de Publicação: 2024
Outros Autores: Couraceiro, P., Pinto-Martinho, A.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10071/31203
Resumo: 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.
id RCAP_7ae6c314222023d8213d46eb0f16bb09
oai_identifier_str oai:repositorio.iscte-iul.pt:10071/31203
network_acronym_str RCAP
network_name_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository_id_str 7160
spelling Decoding algorithmic literacy among journalists: Methodological tool design and validation for preliminary study in the Portuguese contextAlgorithmic literacyJournalistsMethodologyQuestionnairePortugalRecent 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.Observatório da Comunicação2024-02-28T15:29:52Z2024-01-01T00:00:00Z20242024-02-28T15:29:28Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10071/31203eng1646-595410.15847/obsOBS18520242433Foá, C.Couraceiro, P.Pinto-Martinho, A.info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-03-03T01:16:34Zoai:repositorio.iscte-iul.pt:10071/31203Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:12:11.727298Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Decoding algorithmic literacy among journalists: Methodological tool design and validation for preliminary study in the Portuguese context
title Decoding algorithmic literacy among journalists: Methodological tool design and validation for preliminary study in the Portuguese context
spellingShingle Decoding algorithmic literacy among journalists: Methodological tool design and validation for preliminary study in the Portuguese context
Foá, C.
Algorithmic literacy
Journalists
Methodology
Questionnaire
Portugal
title_short Decoding algorithmic literacy among journalists: Methodological tool design and validation for preliminary study in the Portuguese context
title_full Decoding algorithmic literacy among journalists: Methodological tool design and validation for preliminary study in the Portuguese context
title_fullStr Decoding algorithmic literacy among journalists: Methodological tool design and validation for preliminary study in the Portuguese context
title_full_unstemmed Decoding algorithmic literacy among journalists: Methodological tool design and validation for preliminary study in the Portuguese context
title_sort Decoding algorithmic literacy among journalists: Methodological tool design and validation for preliminary study in the Portuguese context
author Foá, C.
author_facet Foá, C.
Couraceiro, P.
Pinto-Martinho, A.
author_role author
author2 Couraceiro, P.
Pinto-Martinho, A.
author2_role author
author
dc.contributor.author.fl_str_mv Foá, C.
Couraceiro, P.
Pinto-Martinho, A.
dc.subject.por.fl_str_mv Algorithmic literacy
Journalists
Methodology
Questionnaire
Portugal
topic Algorithmic literacy
Journalists
Methodology
Questionnaire
Portugal
description 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.
publishDate 2024
dc.date.none.fl_str_mv 2024-02-28T15:29:52Z
2024-01-01T00:00:00Z
2024
2024-02-28T15:29:28Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10071/31203
url http://hdl.handle.net/10071/31203
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 1646-5954
10.15847/obsOBS18520242433
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Observatório da Comunicação
publisher.none.fl_str_mv Observatório da Comunicação
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
institution RCAAP
reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
repository.mail.fl_str_mv
_version_ 1799137770966351872