Algorithmic personalization: a study of knowledge gaps and digital media literacy

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11230%2F25%3A10495642" target="_blank" >RIV/00216208:11230/25:10495642 - isvavai.cz</a>

Výsledek na webu

<a href="https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=mH-C3.xm0~" target="_blank" >https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=mH-C3.xm0~</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1057/s41599-025-04593-6" target="_blank" >10.1057/s41599-025-04593-6</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Algorithmic personalization: a study of knowledge gaps and digital media literacy

Popis výsledku v původním jazyce

Understanding personalized content and its societal implications is critical in the digital media era. This article introduces a novel information-analytical system designed to evaluate the level of knowledge among different social classes regarding personalized content in the digital media ecosystem. Utilizing data from 1213 Czech respondents, we employ fuzzy logic and multidimensional membership functions for an in-depth evaluation of the populace&apos;s awareness. It categorizes population knowledge on personalization processes, their preferences, and trust levels and advocates control mechanisms over online content. The research reveals significant insights into demographic disparities in digital media literacy, emphasizing the urgent need for targeted educational programs. This paper presents a pioneering methodological framework and lays the groundwork for future investigations into personalized media services&apos; ethical considerations and socio-political dynamics. Our study contributes to the broader discourse on media literacy, algorithmic understanding, and protecting informational self-determination in the digital age.

Název v anglickém jazyce

Algorithmic personalization: a study of knowledge gaps and digital media literacy

Popis výsledku anglicky

Understanding personalized content and its societal implications is critical in the digital media era. This article introduces a novel information-analytical system designed to evaluate the level of knowledge among different social classes regarding personalized content in the digital media ecosystem. Utilizing data from 1213 Czech respondents, we employ fuzzy logic and multidimensional membership functions for an in-depth evaluation of the populace&apos;s awareness. It categorizes population knowledge on personalization processes, their preferences, and trust levels and advocates control mechanisms over online content. The research reveals significant insights into demographic disparities in digital media literacy, emphasizing the urgent need for targeted educational programs. This paper presents a pioneering methodological framework and lays the groundwork for future investigations into personalized media services&apos; ethical considerations and socio-political dynamics. Our study contributes to the broader discourse on media literacy, algorithmic understanding, and protecting informational self-determination in the digital age.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

50802 - Media and socio-cultural communication

Projekt

<a href="/cs/project/TL03000152" target="_blank" >TL03000152: Umělá inteligence, média a právo</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2025

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Humanities &amp; Social Sciences Communications

ISSN

2662-9992

e-ISSN

2662-9992

Svazek periodika

12

Číslo periodika v rámci svazku

1

Stát vydavatele periodika

GB - Spojené království Velké Británie a Severního Irska

Počet stran výsledku

12

Strana od-do

1-12

Kód UT WoS článku

001439356100001

EID výsledku v databázi Scopus

2-s2.0-86000317795