Publicação
Investigating Algorithmic Misconceptions in a Media Context: Source of a New Digital Divide?
| Resumo: | Algorithms are widely used in our data-driven media landscape. Many misconceptions have arisen about how these algorithms work and what they can do. In this study, we conducted a large representative survey (N = 2,106) in the Netherlands to explore algorithmic misconceptions. Results showed that a significant part of the general population holds (multiple) misconceptions about algorithms in the media. We found that erroneous beliefs about algorithms are more common among (1) older people (vs. younger people), (2) lower-educated people (vs. higher-educated), and (3) women (vs. men). In addition, it was found that people who had no specific sources to inform themselves about algorithms, and those relying on their friends/family for information, were more likely to have algorithmic misconceptions. Conversely, media channels, school, and having one’s own (online) experiences were found to be sources associated with having fewer algorithmic misconceptions. Theoretical implications are formulated in the context of algorithmic awareness and the digital divide. Finally, societal implications are discussed, such as the need for algorithmic literacy initiatives. |
|---|---|
| Autores principais: | Zarouali, Brahim |
| Outros Autores: | Helberger, Natali; de Vreese, Claes H. |
| Assunto: | algorithms; algorithmic awareness; digital divide; misconceptions; technology |
| Ano: | 2021 |
| País: | Portugal |
| Tipo de documento: | artigo |
| Tipo de acesso: | unknown |
| Instituição associada: | Cogitatio Press |
| Idioma: | inglês |
| Origem: | Media and Communication |
| _version_ | 1869074038856351744 |
|---|---|
| author | Zarouali, Brahim |
| author2 | Helberger, Natali de Vreese, Claes H. |
| author2_role | author author |
| author_facet | Zarouali, Brahim Helberger, Natali de Vreese, Claes H. |
| author_role | author |
| country_str | PT |
| creators_json_txt | [{\"Person.name\":\"Zarouali, Brahim\"},{\"Person.name\":\"Helberger, Natali\"},{\"Person.name\":\"de Vreese, Claes H.\"}] |
| datacite.creators.creator.creatorName.fl_str_mv | Zarouali, Brahim Helberger, Natali de Vreese, Claes H. |
| datacite.rights.fl_str_mv | http://purl.org/coar/access_right/c_abf2 |
| datacite.subjects.subject.fl_str_mv | algorithms; algorithmic awareness; digital divide; misconceptions; technology |
| datacite.titles.title.fl_str_mv | Investigating Algorithmic Misconceptions in a Media Context: Source of a New Digital Divide? |
| dc.creator.none.fl_str_mv | Zarouali, Brahim Helberger, Natali de Vreese, Claes H. |
| dc.format.none.fl_str_mv | application/pdf |
| dc.identifier.none.fl_str_mv | https://doi.org/10.17645/mac.v9i4.4090 |
| dc.language.none.fl_str_mv | eng |
| dc.publisher.none.fl_str_mv | Cogitatio |
| dc.rights.none.fl_str_mv | http://purl.org/coar/access_right/c_abf2 |
| dc.source.none.fl_str_mv | Media and Communication; Vol 9, No 4 (2021): Algorithmic Systems in the Digital Society; 134-144 2183-2439 |
| dc.subject.none.fl_str_mv | algorithms; algorithmic awareness; digital divide; misconceptions; technology |
| dc.title.fl_str_mv | Investigating Algorithmic Misconceptions in a Media Context: Source of a New Digital Divide? |
| dc.type.none.fl_str_mv | http://purl.org/coar/resource_type/c_6501 |
| description | Algorithms are widely used in our data-driven media landscape. Many misconceptions have arisen about how these algorithms work and what they can do. In this study, we conducted a large representative survey (N = 2,106) in the Netherlands to explore algorithmic misconceptions. Results showed that a significant part of the general population holds (multiple) misconceptions about algorithms in the media. We found that erroneous beliefs about algorithms are more common among (1) older people (vs. younger people), (2) lower-educated people (vs. higher-educated), and (3) women (vs. men). In addition, it was found that people who had no specific sources to inform themselves about algorithms, and those relying on their friends/family for information, were more likely to have algorithmic misconceptions. Conversely, media channels, school, and having one’s own (online) experiences were found to be sources associated with having fewer algorithmic misconceptions. Theoretical implications are formulated in the context of algorithmic awareness and the digital divide. Finally, societal implications are discussed, such as the need for algorithmic literacy initiatives. |
| dirty | 0 |
| eu_rights_str_mv | unknown |
| format | article |
| id | mc_f8a7159e498ff5763d4e6d2d798bfb4c |
| identifier.doi.fl_str_mv | https://doi.org/10.17645/mac.v9i4.4090 |
| inst_facet_str | urn:organizationAcronym:cp{{{_:::_}}}Cogitatio Press |
| instacron_str | cp |
| institution | Cogitatio Press |
| instname_str | Cogitatio Press |
| language | eng |
| network_acronym_str | mc |
| network_name_str | Media and Communication |
| oai_identifier_str | oai:ojs.cogitatiopress.com:article/4090 |
| organization_str_mv | urn:organizationAcronym:cp |
| person_str_mv | Zarouali, Brahim Helberger, Natali de Vreese, Claes H. |
| publishDate | 2021 |
| publisher.none.fl_str_mv | Cogitatio |
| repo_facet_str | urn:repositoryAcronym:mc{{{_:::_}}}Media and Communication |
| reponame_str | Media and Communication |
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| spelling | en-USInvestigating Algorithmic Misconceptions in a Media Context: Source of a New Digital Divide?Zarouali, BrahimHelberger, Natalide Vreese, Claes H.algorithms; algorithmic awareness; digital divide; misconceptions; technologyCopyright (c) 2021 Brahim Zarouali, Natali Helberger, Claes H. de Vreesehttp://purl.org/coar/access_right/c_abf2http://creativecommons.org/licenses/by/4.0https://doi.org/10.17645/mac.v9i4.4090DOIoai:ojs.cogitatiopress.com:article/4090OAIhttps://www.cogitatiopress.com/mediaandcommunication/article/view/4090URLhttps://doi.org/10.17645/mac.v9i4.4090DOIhttps://www.cogitatiopress.com/mediaandcommunication/article/view/4090/4090URLHasVersion2021-11-18en-USAlgorithms are widely used in our data-driven media landscape. Many misconceptions have arisen about how these algorithms work and what they can do. In this study, we conducted a large representative survey (N = 2,106) in the Netherlands to explore algorithmic misconceptions. Results showed that a significant part of the general population holds (multiple) misconceptions about algorithms in the media. We found that erroneous beliefs about algorithms are more common among (1) older people (vs. younger people), (2) lower-educated people (vs. higher-educated), and (3) women (vs. men). In addition, it was found that people who had no specific sources to inform themselves about algorithms, and those relying on their friends/family for information, were more likely to have algorithmic misconceptions. Conversely, media channels, school, and having one’s own (online) experiences were found to be sources associated with having fewer algorithmic misconceptions. Theoretical implications are formulated in the context of algorithmic awareness and the digital divide. Finally, societal implications are discussed, such as the need for algorithmic literacy initiatives.Cogitatioapplication/pdfen-USMedia and Communication; Vol 9, No 4 (2021): Algorithmic Systems in the Digital Society; 134-1442183-2439engjournal articlehttp://purl.org/coar/resource_type/c_6501literatureVoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85 |
| spellingShingle | Investigating Algorithmic Misconceptions in a Media Context: Source of a New Digital Divide? Zarouali, Brahim algorithms; algorithmic awareness; digital divide; misconceptions; technology |
| status | SINGLETON |
| status_str | VoR |
| subject.fl_str_mv | algorithms; algorithmic awareness; digital divide; misconceptions; technology |
| title | Investigating Algorithmic Misconceptions in a Media Context: Source of a New Digital Divide? |
| title_full | Investigating Algorithmic Misconceptions in a Media Context: Source of a New Digital Divide? |
| title_fullStr | Investigating Algorithmic Misconceptions in a Media Context: Source of a New Digital Divide? |
| title_full_unstemmed | Investigating Algorithmic Misconceptions in a Media Context: Source of a New Digital Divide? |
| title_short | Investigating Algorithmic Misconceptions in a Media Context: Source of a New Digital Divide? |
| title_sort | Investigating Algorithmic Misconceptions in a Media Context: Source of a New Digital Divide? |
| topic | algorithms; algorithmic awareness; digital divide; misconceptions; technology |
| topic_facet | algorithms; algorithmic awareness; digital divide; misconceptions; technology |
| url | https://doi.org/10.17645/mac.v9i4.4090 |
| visible | 1 |