Widespread underprovision on Reddit

By Eric Gilbert. 2013

181 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Communication, Information Systems

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The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

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Citations in the corpus

How algorithmic popularity bias hinders or promotes quality (2017, neutral): “Similar results have been found in other studies [30, 31, 18, 12] and have spurred a renewed interesting in the topic of predictability in cultural markets.”
Averaging Gone Wrong: Using Time-Aware Analyses to Better Understand Behavior (2016, background): “…sociological studies often use students who join a school in the same year to understand the effect of interventions [22, 30], and condition on the year in which people were born to understand people’s behavior, such as variations in financial decision-making [47] or opinions on issues [19, 28].”
Online Media Forums as Separate Social Lives: A Qualitative Study of Disclosure Within and Beyond Reddit (2015, methodology): “Previous work uses reddit as a research context for predicting the success of threads shared by users (Gilbert, 2013; Lakkaraju et al., 2013; Van Mieghem, 2011; Weninger et al., 2013), modeling the evolution of comments (Wang et al., 2012; Weninger et al., 2013), as well as describing the…”
Popularity and Quality in Social News Aggregators: A Study of Reddit and Hacker News (2015, background): “Gilbert (2013) studies popularity of images on Reddit and ﬁnds that over half of popular image submissions are actually reposts of previous submissions.”
Lessons from archives: strategies for collecting sociocultural data in machine learning (2019, background): “Given many studies showing the dubiousness of upvotes as an indication of popularity or quality due to factors such as “intermediary” bias, bot votes, and spurious votes, this filtering mechanism could be seen as arbitrary [22, 23, 33].”