Collective Memory and Fluency Tasks: Leveraging Network Analysis for a Richer Understanding of Collective Cognition.

Collective memory broadly refers to thememories shared by a group of people. Interest in collective memory among cognitive psychologists has boomed in recent years, with many studies leveraging fluency tasks to probe what events and people come to mind given a prompt. As other research using fluency...

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Publicado en:Canadian Journal of Experimental Psychology / Revue Canadienne de Psychologie Expérimentale Vol. 79; no. 1; pp. 61 - 74
Autores principales: Greeley, Garrett D., Peña, Tori, Pepe, Nicholas W., Choi, Hae-Yoon, Rajaram, Suparna
Formato: Artículo
Publicado: Canadian Psychological Association Mar2025
Materias:
Acceso en línea:Ver este registro en EBSCOhost
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      dt: Mar2025
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      pub: Canadian Psychological Association
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        atl: Collective Memory and Fluency Tasks: Leveraging Network Analysis for a Richer Understanding of Collective Cognition.
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        au:
          Greeley, Garrett D.
          Peña, Tori
          Pepe, Nicholas W.
          Choi, Hae-Yoon
          Rajaram, Suparna
        affil:
          Department of Psychology, Stony Brook University
          Epilepsy Research Institute, Yonsei University College of Medicine
      su:
        Task performance
        Memory
        Social skills
        Cognition
        Stuttering
      sug:
        subj:
          Task performance
          Memory
          Social skills
          Cognition
          Stuttering
      keyword:
        analyse de réseau
        collective memory
        fluency task
        mémoire collective
        network analysis
        rappel
        recall
        tâche de fluidit
        U.S. cities
        villes américaines
        analyse de réseau
        collective memory
        fluency task
        mémoire collective
        network analysis
        rappel
        recall
        tâche de fluidit
        U.S. cities
        villes américaines
      ab: Collective memory broadly refers to thememories shared by a group of people. Interest in collective memory among cognitive psychologists has boomed in recent years, with many studies leveraging fluency tasks to probe what events and people come to mind given a prompt. As other research using fluency tasks has benefitted greatly from network analysis (e.g., semantic memory research), it seems there is an opportunity to deepen our understanding of collective cognition and changes in collective cognition by adopting a network perspective. In the current article, we ask whether collectivememory investigations could be enriched by harnessing the tools of network science. We start by reviewing the relevant collectivememory literature and touch on the deep semantic memory literature to the extent it provides ties to network analysis for present goals. Our novel contributions to the topic include the introduction of a large fluency data set collected over the course of a decade as part of a task embeddedwithin several research projects. We conduct several descriptive analyses and initial, proof-of-concept network analyses examining collective memory for U.S. cities. Some cities--those that are recalled most frequently--are recalled at similar rates and in similar output positions across time and task contexts. Our network approach suggests that recall transitions (e.g., recalling Los Angeles and San Francisco in adjacent positions) aremade at similar rates as well. Together, these complementary approaches suggest a striking stability in both what people recall and their ordering, providing a window into the composition of collective memories.
      pubtype: Academic Journal
      doctype: Article
      src: R
    language: English
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