<?xml version="1.1" encoding="utf-8"?>
<article xsi:noNamespaceSchemaLocation="http://jats.nlm.nih.gov/publishing/1.1/xsd/JATS-journalpublishing1-mathml3.xsd" dtd-version="1.1" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"><front><journal-meta><journal-id journal-id-type="publisher-id">HASS</journal-id><journal-title-group><journal-title>Humanities Arts and Social Sciences</journal-title></journal-title-group><issn>3066-8301</issn><eissn>3066-831X</eissn><publisher><publisher-name>Art and Technology</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.61369/HASS.2025040013</article-id><article-categories><subj-group subj-group-type="heading"><subject>Article</subject></subj-group></article-categories><title>算法推荐如何重构网络舆论场——基于“沉默的螺旋”理论的再解读</title><url>https://artdesignp.com/journal/HASS/1/4/10.61369/HASS.2025040013</url><author>李焕然</author><pub-date pub-type="publication-year"><year>2025</year></pub-date><volume>1</volume><issue>4</issue><history><date date-type="pub"><published-time>2025-06-20</published-time></date></history><abstract>算法推荐技术已成为塑造在线舆论格局的关键力量。本研究以&amp;ldquo;沉默的螺旋&amp;rdquo;理论为基础，探讨了技术逻辑、用户心理和商业激励的相互作用如何推动公众表达从&amp;ldquo;被动沉默&amp;rdquo;转变为&amp;ldquo;自愿沉默&amp;rdquo;，从而导致加剧和制度化的沉默效应。为了减轻这些风险，我们提出了四种优化策略：（1）通过外部审计机制提高算法透明度，（2）实施&amp;ldquo;少数声音配额&amp;rdquo;以确保不同观点的曝光，（3）加强公共算法素养和批判性思维教育，以及（4）建立对话促进机制与争议评估框架。通过将经典传播理论与数据驱动分析联系起来，本研究为培育包容性数字公共领域提供了理论见解和政策影响。</abstract><keywords>算法推荐,沉默的螺旋,在线舆论,信息茧房</keywords></article-meta></front><body/><back><ref-list><ref id="B1" content-type="article"><label>1</label><element-citation publication-type="journal"><p>[1]乐承毅, 王子鑫, 张金萍, 程佳慧. 短视频平台智能推荐下用户算法应对行为研究[J/OL]. 图书馆建设, 2025.&amp;nbsp;[2]NOELLE-NEUMANN E. The spiral of silence: Public opinion&amp;ndash;Our social skin. University of Chicago Press, 1993.&amp;nbsp;[3]彭兰. 生存、认知、关系：算法将如何改变我们[J].新闻界, 2021, (3), 45&amp;ndash;53.&amp;nbsp;[4]WU T Y, OELDORF-HIRSCH A, ATKIN D. A click is worth a thousand words: Probing the predictors of using click speech for online opinion expression. International Journal of Communication, 2020, 14, 20.&amp;nbsp;[5]万旋傲. 策略性互动实践：用户如何感知社交媒体的新闻议程[J].新闻与写作, 2025, (5), 41&amp;ndash;50.&amp;nbsp;[6]张凌, 刘琼, 贺昌茂. 基于沉默螺旋理论的社交机器人网络舆情干预研究[J].图书情报知识, 2024.&amp;nbsp;[7]黎勇, 郑凌. 舆情反转中的&amp;ldquo;反沉默螺旋&amp;rdquo;&amp;mdash;&amp;mdash;基于受众心理视角的分析[J].青年记者, 2022, (5), 50&amp;ndash;52.&amp;nbsp;[8]BARBER&amp;Aacute; P, JOST J T, NAGLER J, TUCKER J A, BONNEAU R. Tweeting From Left to Right: Is Online Political Communication More Than an Echo Chamber? Psychological Science, 2015, 26, (10), 1531&amp;ndash;1542.&amp;nbsp;[9]阳长征. 算法推荐语境下突发事件网络谣言信息时空泛化与共变影响研究[J].情报杂志, 2025, 44, (5), 104&amp;ndash;111.&amp;nbsp;[10]CINELLI M, DE FRANCISCI MORALES G, GALEAZZI A, QUATTROCIOCCHI W, STARNINI M. The echo chamber effect on social media. Proceedings of the National Academy of Sciences, 2021, 118, (9), e2023301118.</p><pub-id pub-id-type="doi"/></element-citation></ref></ref-list></back></article>
