Dank or not? Analyzing and predicting the popularity of memes on Reddit, Applied Network Science
Descrição
Internet memes have become an increasingly pervasive form of contemporary social communication that attracted a lot of research interest recently. In this paper, we analyze the data of 129,326 memes collected from Reddit in the middle of March, 2020, when the most serious coronavirus restrictions were being introduced around the world. This article not only provides a looking glass into the thoughts of Internet users during the COVID-19 pandemic but we also perform a content-based predictive analysis of what makes a meme go viral. Using machine learning methods, we also study what incremental predictive power image related attributes have over textual attributes on meme popularity. We find that the success of a meme can be predicted based on its content alone moderately well, our best performing machine learning model predicts viral memes with AUC=0.68. We also find that both image related and textual attributes have significant incremental predictive power over each other.
PDF) Analyzing Behavioral Trends in Community Driven Discussion Platforms Like Reddit
Dank learning system autogenerates memes
PDF) Reddit as a Source of COVID-19 Information: A Content Analysis of r/coronavirus During the Early Pandemic
PDF) Dank or not? Analyzing and predicting the popularity of memes on Reddit
Dank or Not? Analyzing and Predicting the Popularity of Memes on Reddit, by Hari Chandana
Dank or not? Analyzing and predicting the popularity of memes on Reddit, Applied Network Science
Mechanisms of meme propagation in the mediasphere: a system dynamics model
Nóra Tenk - Budapest, Budapest, Hungary, Professional Profile
PDF] Mathematical Models of Fads Explain the Temporal Dynamics of Internet Memes
PDF] Mathematical Models of Fads Explain the Temporal Dynamics of Internet Memes
21 GIFs That Explain Mathematical Concepts
Mechanisms of meme propagation in the mediasphere: a system dynamics model
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