AI recommendations’ impact on individual and social practices of Generation Z on social media: a comparative analysis between Estonia, Italy, and the Netherlands

IF 0.9 3区社会学 0 HUMANITIES, MULTIDISCIPLINARY

Semiotica Pub Date : 2024-03-20 DOI:10.1515/sem-2023-0089

Daria Arkhipova, Marijn Janssen

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引用次数: 0

Abstract

Social media (SM) influence young adults’ communication practices. Artificial Intelligence (AI) is increasingly used for making recommendations on SM. Yet, its effects on different generations of SM users are unknown. SM can use AI recommendations to sort texts and prioritize them, shaping users’ online and offline experiences. Current literature primarily addresses technological or human-user perspectives, overlooking cognitive perspectives. This research aims to propose methods for mapping users’ interactions with AI recommendations (AiRS) and analyzes how embodied interactions mediated by a digital agent can lead to changes in social and cultural practices. For this, this work proposes a comparative analysis of central practices evoked by AI recommendations-mediated communication on SM among users in Italy, Estonia, and the Netherlands in the age category 18–26 years old. The data used in the comparative analysis was collected via semi-structured interviews and elaborated based on cognitive psychology and semiotics. This research highlights the contextual significance of AI recommendations as a mediator in creating new communication practices. Findings confirm that young adults often choose practices that would enhance their digital representations according to AiRS’ dominant patterns and categories. AiRS impacts individual interpretations and practices and can further affect social and cultural levels.

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人工智能建议对 Z 世代在社交媒体上的个人和社会实践的影响：爱沙尼亚、意大利和荷兰之间的比较分析

社交媒体（SM）影响着年轻人的交流方式。人工智能（AI）越来越多地被用于在社交媒体上进行推荐。然而，人工智能对不同年代的社交媒体用户的影响尚不清楚。SM可以利用人工智能推荐对文本进行分类和优先排序，从而影响用户的在线和离线体验。目前的文献主要从技术或人类用户的角度进行研究，忽略了认知角度。本研究旨在提出绘制用户与人工智能推荐（AiRS）互动图的方法，并分析以数字代理为媒介的体现互动如何导致社会和文化实践的变化。为此，本研究对意大利、爱沙尼亚和荷兰 18-26 岁年龄段用户在 SM 上以人工智能推荐为媒介的交流所引发的核心实践进行了比较分析。比较分析中使用的数据是通过半结构式访谈收集的，并以认知心理学和符号学为基础进行了阐述。这项研究强调了人工智能建议作为创造新交流方式的中介所具有的背景意义。研究结果证实，年轻人通常会根据 AiRS 的主导模式和类别选择能增强其数字表征的做法。AiRS 会影响个人的解释和实践，并进一步影响社会和文化层面。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Semiotica Multiple-

CiteScore

1.30

自引率

37.50%

发文量

期刊介绍： Semiotica, the Journal of the International Association for Semiotic Studies, founded in 1969, appears in five volumes of four issues per year, in two languages (English and French), and occasionally in German. Semiotica features articles reporting results of research in all branches of semiotic studies, in-depth reviews of selected current literature in this field, and occasional guest editorials and reports. From time to time, Special Issues, devoted to topics of particular interest, are assembled by Guest Editors. The publishers of Semiotica offer an annual prize, the Mouton d"Or, to the author of the best article each year. The article is selected by an independent international jury.