Intel·ligència artificial enfront de periodistes: qualitat de les notícies automatitzades i biaix per autoria mitjançant una prova de Turing

Autors/ores

Resum

Amb la integració de la intel·ligència artificial (IA) en els mitjans cada dia es publiquen milers de notícies automatitzades en espanyol. Aquest estudi compara la qualitat de les notícies escrites per periodistes professionals (d’Efe) amb les realitzades amb programes informàtics de generació de llenguatge natural (NLG) (de narrativa) mitjançant un test de Turing. Basat en dimensions crucials per a la percepció de notícies (Sundar,1999) — credibilitat, llegibilitat i perícia periodística—, s’usa una metodologia experimental comprovada a escala internacional per explorar un tema inèdit en espanyol: informació de salut. L’experiment va variar intencionadament les autories reals i declarades — periodistes humans i IA— per detectar possibles biaixos entorn de la credibilitat de l’autoria. Es va fer servir un qüestionari autoadministrat adaptat per a enquestes en línia (N = 222) i es van minimitzar els desequilibris de gènere per assegurar la paritat de la mostra (N = 128). L’estudi revela que no hi ha diferències significatives entre les notícies generades per IA i les elaborades per periodistes professionals. Tots dos tipus de notícies són considerades igualment creïbles, encara que es van detectar alguns biaixos en l’avaluació de l’autoria declarada: la IA com a autor és percebuda com més creïble que l’humà, mentre que es considera que el periodista humà escriu textos més vívids. L’estudi conclou que és factible produir notícies automatitzades en espanyol sense comprometre’n la qualitat. En el panorama mediàtic global, els sistemes automatitzats que empren GLN, aprenentatge automàtic i sofisticades bases de dades avancen amb èxit cap a nous àmbits, com la informació de salut.

Paraules clau

periodisme automatitzat, notícies automatitzades, intel·ligència artificial, prova de Turing, COVID-19

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Biografia de l'autor/a

Teresa Sandoval-Martín, Universidad Carlos III de Madrid

Teresa Sandoval-Martín, tenured  professor  of  the  Department  of  Communication  at  the  Universidad Carlos III de Madrid, specialized in journalism and new technologies. Lead researcher of the project Identificación de Sesgos de Género en Inteligencia Artificial (Identification of Gender Biases in Artificial Intelligence), funded by the Spanish State Research Agency. She directs the research group Journalism and Social Analysis: Evolution, Effects and Trends. She has directed five doctoral theses and a European postdoctoral fellowship. She has participated in more than a dozen research projects and 70 publications.

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28-06-2024

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