Information seeking

García-Molina, Héctor; Koutrika, Georgia; Parameswaran, Aditya

doi:10.1145/2018396.2018423

Cited by 48 publications

(1 citation statement)

References 24 publications

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“…Assim, um dos problemas fundamentais da Ciência da Computação tornou-se ainda mais crítico hoje: como identificar objetos que satisfaçam as necessidades de informações de um usuário. O objetivo é apresentar ao usuário apenas informações que sejam de interesse e relevância, no lugar e no tempo certos (Garcia-Molina;Koutrika;Parameswaran, 2011, p. 121, tradução nossa).…”

Section: Introductionunclassified

O conceito de relevância na recuperação de informação

Janaite Neto,

Ferneda

2024

InCID: Rev. Ci. Inf. Doc.

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This work aims to present a bibliographical survey on the concept of relevance, its properties and characteristics, as well as systematizing its manifestations and its use in Information Science, particularly in the process of information retrieval. To achieve this, the research was based on a bibliographical survey of several authors who have relevance as an object of study. It found that the concept of relevance has several formal definitions and can be interpreted in different ways. Relevance is also strongly linked to information retrieval systems. In this context, it can be classified under two approaches: user relevance and system relevance. From the results, we conclude that relevance plays a fundamental role in Information Science, with emphasis on the information retrieval process, which often uses this concept as a metric to evaluate the effectiveness of algorithms and systems.

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Section: Introductionunclassified

O conceito de relevância na recuperação de informação

Janaite Neto,

Ferneda

2024

InCID: Rev. Ci. Inf. Doc.

View full text Add to dashboard Cite

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The Power of Default on Reddit: A General Model to Measure the Influence of Information Intermediaries

Jürgens¹,

Stark²

2017

Policy & Internet

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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.

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