2022
DOI: 10.1177/17506980221133732
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Memory, counter-memory and denialism: How search engines circulate information about the Holodomor-related memory wars

Abstract: Search engines, such as Google or Yandex, shape social reality by informing their users about current and historical phenomena. However, there is little research on how search engines deal with contested memories, which are subjected to ontological conflicts known as memory wars. In this article, we investigate how search engines circulate information about memory wars related to the Holodomor, a mass famine caused by Soviet repressive politics in Ukraine in 1932–1933. For this aim, we conduct an agent-based a… Show more

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Cited by 8 publications
(17 citation statements)
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“…Only a few studies (e.g. Locke 2020;Makhortykh 2023b;Shur-Ofry and Pessach 2019;Walden 2022a;Zavadski and Toepfl 2019) discuss the role of these agents in the context of memory communication. While the recent advancements in the field of generative AI have ignited interest in human-to-robot memory communication (see, for instance, Kansteiner (2022) and initiatives such as the AI4Europeana (Europeana 2022)), there is an urgent need for expanding the memory communication research agenda to assess the role of non-human agents both conceptually and empirically.…”
Section: Discussionmentioning
confidence: 99%
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“…Only a few studies (e.g. Locke 2020;Makhortykh 2023b;Shur-Ofry and Pessach 2019;Walden 2022a;Zavadski and Toepfl 2019) discuss the role of these agents in the context of memory communication. While the recent advancements in the field of generative AI have ignited interest in human-to-robot memory communication (see, for instance, Kansteiner (2022) and initiatives such as the AI4Europeana (Europeana 2022)), there is an urgent need for expanding the memory communication research agenda to assess the role of non-human agents both conceptually and empirically.…”
Section: Discussionmentioning
confidence: 99%
“…The first major implication of the rise of human-to-robot memory communication is the growing importance of AI-driven systems as memory actors. By becoming responsible for the organisation and retrieval of information in response to human queries, these systems effectively decide what information sources and what interpretations of the collective past gain more visibility and, thus, shape how this past is remembered (Makhortykh 2023b). Such an impact is particularly pronounced for the general public, members of which often rely on information retrieval systems such as search engines or conversational agents to acquire information about a specific historical event or a personality.…”
Section: Human-to-robot Memory Communicationmentioning
confidence: 99%
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“…In contrast to the focus on the institution-or group-oriented forms of remembrance, which underlined many classic concepts in memory studies, such as the collective (Halbwachs, 1992), social (Olick and Robbins, 1998) or cultural memory (Assmann, 2011a), the conceptualisations of the digital (Liebermann, 2021) -or connective (Hoskins, 2011a) -memory turn increasingly acknowledged the role of individual agency in the context of remembrance. The availability of new possibilities for producing, storing and sharing content online has direct implications for the capacities of individuals to preserve information about their lives and make it visible to others (Barratt, 2009;Garde-Hansen et al, 2009;Van Dijck, 2007) but also to engage in the discussions of the collective past to contest or support its specific interpretations (Liu, 2018;Makhortykh et al, 2022a;Rutten et al, 2013).…”
Section: Introductionmentioning
confidence: 99%