FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2766202288> ?p ?o ?g. }

• W2766202288 endingPage "419" @default.
• W2766202288 startingPage "395" @default.
• W2766202288 abstract "Information intermediaries like search engines and social networks can represent a source of bias for recipients. Their algorithms, especially concerning filtering, sorting, and personalization, are assumed to skew the representation of news topics and thus create media effects in their own right. Largely as a result of methodological challenges, existing studies have often tested isolated hypotheses without covering the full effects chain from content production to reception by the user. However, the preselection of content performed by intermediaries is only relevant if users choose to rely on it, an assumption that so far lacks broad empirical evidence. Based on a broad review of existing study designs, this article develops a general intermediary effects model. From this model, researchers can derive empirical study designs that capture and differentiate the individual effects of filtering, sorting, and personalization. We then apply the model in an assessment of the news aggregator Reddit's change in capacity to influence its users’ information selection. Using counterfactual time series decomposition, we show that changing the sections of the website included in the start page by default can lead to large changes in attention paid to content. These findings substantiate existing assumptions about the power of information intermediaries to shape the information environments of their users. 种面向信息接受者的偏见来源。信息中介的算法, 尤其是有关过滤筛选、分类和个性化的算法, 被认为能够影响新闻话题的准确性, 并由此依照自身的方式产生“媒介效果”(media effects)。作为方法论挑战的结果, 现有研究在很大程度上时常没有覆盖全效果链(full effects chain)(从内容制作到用户接受这一过程)便测试孤立的假设。然而, 有假设认为, 信息中介对内容的预选过程仅在用户选择依赖这一操作的情况下才会出现, 这个假设目前还缺乏广泛的实证数据。基于对现有研究设计的广泛检查, 本文提出了“一般性的中介效果模型”(general intermediary effects model)。研究者能从该模型获得实证研究设计, 后者能捕捉过滤筛选、分类和个性化的单独效果, 同时加以区分。本文随后将该模型用于评估新闻聚合器Reddit在影响用户进行信息选择时的能力变化。通过使用“反事实时间序列分解法”(counterfactual time series decomposition), 本文表明, 通过默认设置改变网站首页的不同部分, 能导致用户对网站内容注意力的大幅变化。这些研究结果证实了有关信息中介能力的现有假设, 即中介能影响用户的信息环境。 búsqueda y las redes sociales pueden representar una fuente de sesgo para la audiencia. Sus algoritmos, especialmente los que filtran, separan y personalizan, podrían sesgar la representación de nuevos temas y por ende crean efectos mediáticos por sí solos. En gran parte debido a desafíos metodológicos, existen estudios que han puesto a prueba frecuentemente las hipótesis aisladas sin incluir la cadena completa de efectos desde la producción de contenido a la acogida por parte del usuario. Sin embargo, la preselección de contenido que hacen los intermediarios es solo relevante si los usuarios eligen apoyarse en ella, lo cual es una suposición que hasta ahora carece de evidencia empírica general. Con base en una examinación general del estudio existente, este artículo desarrolla un modelo general de los efectos de intermediarios. Desde este modelo, los investigadores pueden derivar diseños de estudios empíricos que capturan y diferencian los efectos individuales de la filtración, la separación y la personalización. Después aplicamos el modelo en una valoración del cambio del sitio de foros Reddit en su capacidad de influenciar la selección de información de sus usuarios. Al utilizar la descomposición de series cronológicas erróneas, mostramos que las secciones cambiantes de la página que están incluidas en la página principal de forma predeterminada pueden llevar a grandes cambios en la atención que se le da al contenido. Estos hallazgos solidifican suposiciones existentes acerca del poder de los intermediarios de la información para dar forma a los ambientes de información de sus usuarios. Additional Supporting Information may be found online in the supporting information tab for this article. Please note: The publisher is not responsible for the content or functionality of any supporting information supplied by the authors. Any queries (other than missing content) should be directed to the corresponding author for the article." @default.
• W2766202288 created "2017-11-10" @default.
• W2766202288 creator A5003373559 @default.
• W2766202288 creator A5035826384 @default.
• W2766202288 date "2017-10-25" @default.
• W2766202288 modified "2023-10-18" @default.
• W2766202288 title "The Power of Default on Reddit: A General Model to Measure the Influence of Information Intermediaries" @default.
• W2766202288 cites W1523360751 @default.
• W2766202288 cites W1546552670 @default.
• W2766202288 cites W1686065478 @default.
• W2766202288 cites W1747490318 @default.
• W2766202288 cites W1815262401 @default.
• W2766202288 cites W1921121791 @default.
• W2766202288 cites W1966066012 @default.
• W2766202288 cites W1968380849 @default.
• W2766202288 cites W1974838758 @default.
• W2766202288 cites W2006447892 @default.
• W2766202288 cites W2029493508 @default.
• W2766202288 cites W2037451280 @default.
• W2766202288 cites W2042809507 @default.
• W2766202288 cites W2043167816 @default.
• W2766202288 cites W2048437343 @default.
• W2766202288 cites W2058840575 @default.
• W2766202288 cites W2059374265 @default.
• W2766202288 cites W2061599464 @default.
• W2766202288 cites W2078639378 @default.
• W2766202288 cites W2101302109 @default.
• W2766202288 cites W2107592605 @default.
• W2766202288 cites W2108076652 @default.
• W2766202288 cites W2109882182 @default.
• W2766202288 cites W2123427850 @default.
• W2766202288 cites W2130354913 @default.
• W2766202288 cites W2134747589 @default.
• W2766202288 cites W2135182104 @default.
• W2766202288 cites W2137488413 @default.
• W2766202288 cites W2137809006 @default.
• W2766202288 cites W2147453867 @default.
• W2766202288 cites W2153922522 @default.
• W2766202288 cites W2154421568 @default.
• W2766202288 cites W2159397589 @default.
• W2766202288 cites W2165925342 @default.
• W2766202288 cites W2168008434 @default.
• W2766202288 cites W2171312436 @default.
• W2766202288 cites W2303924600 @default.
• W2766202288 cites W2324286502 @default.
• W2766202288 cites W2339645179 @default.
• W2766202288 cites W2476960546 @default.
• W2766202288 cites W2601331019 @default.
• W2766202288 cites W2891649320 @default.
• W2766202288 cites W3122247366 @default.
• W2766202288 cites W3124380071 @default.
• W2766202288 cites W3126072720 @default.
• W2766202288 cites W4214662720 @default.
• W2766202288 cites W4254342372 @default.
• W2766202288 doi "https://doi.org/10.1002/poi3.166" @default.
• W2766202288 hasPublicationYear "2017" @default.
• W2766202288 type Work @default.
• W2766202288 sameAs 2766202288 @default.
• W2766202288 citedByCount "36" @default.
• W2766202288 countsByYear W27662022882017 @default.
• W2766202288 countsByYear W27662022882019 @default.
• W2766202288 countsByYear W27662022882020 @default.
• W2766202288 countsByYear W27662022882021 @default.
• W2766202288 countsByYear W27662022882022 @default.
• W2766202288 countsByYear W27662022882023 @default.
• W2766202288 crossrefType "journal-article" @default.
• W2766202288 hasAuthorship W2766202288A5003373559 @default.
• W2766202288 hasAuthorship W2766202288A5035826384 @default.
• W2766202288 hasConcept C108650721 @default.
• W2766202288 hasConcept C111472728 @default.
• W2766202288 hasConcept C111696304 @default.
• W2766202288 hasConcept C11413529 @default.
• W2766202288 hasConcept C136764020 @default.
• W2766202288 hasConcept C138885662 @default.
• W2766202288 hasConcept C139569457 @default.
• W2766202288 hasConcept C144133560 @default.
• W2766202288 hasConcept C162853370 @default.
• W2766202288 hasConcept C180505990 @default.
• W2766202288 hasConcept C183003079 @default.
• W2766202288 hasConcept C23123220 @default.
• W2766202288 hasConcept C41008148 @default.
• W2766202288 hasConcept C518677369 @default.
• W2766202288 hasConceptScore W2766202288C108650721 @default.
• W2766202288 hasConceptScore W2766202288C111472728 @default.
• W2766202288 hasConceptScore W2766202288C111696304 @default.
• W2766202288 hasConceptScore W2766202288C11413529 @default.
• W2766202288 hasConceptScore W2766202288C136764020 @default.
• W2766202288 hasConceptScore W2766202288C138885662 @default.
• W2766202288 hasConceptScore W2766202288C139569457 @default.
• W2766202288 hasConceptScore W2766202288C144133560 @default.
• W2766202288 hasConceptScore W2766202288C162853370 @default.
• W2766202288 hasConceptScore W2766202288C180505990 @default.
• W2766202288 hasConceptScore W2766202288C183003079 @default.
• W2766202288 hasConceptScore W2766202288C23123220 @default.
• W2766202288 hasConceptScore W2766202288C41008148 @default.
• W2766202288 hasConceptScore W2766202288C518677369 @default.
• W2766202288 hasIssue "4" @default.
• W2766202288 hasLocation W27662022881 @default.

• next