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dc.contributor.authorZannettou, Savvasen_US
dc.contributor.authorCaulfield, Tristanen_US
dc.contributor.authorBlackburn, Jeremyen_US
dc.contributor.authorDe Cristofaro, Emilianoen_US
dc.contributor.authorSirivianos, Michaelen_US
dc.contributor.authorStringhini, Gianlucaen_US
dc.contributor.authorSuarez-Tangil, Guillermoen_US
dc.date2018-08-01
dc.date.accessioned2019-04-26T17:19:08Z
dc.date.available2019-04-26T17:19:08Z
dc.date.issued2018-10-31
dc.identifier.citationSavvas Zannettou, Tristan Caulfield, Jeremy Blackburn, Emiliano De Cristofaro, Michael Sirivianos, Gianluca Stringhini, Guillermo Suarez-Tangil. 2018. "On the Origins of Memes by Means of Fringe Web Communities." ACM SIGCOMM Internet Measurement Conference (IMC)
dc.identifier.urihttps://hdl.handle.net/2144/34940
dc.description.abstractInternet memes are increasingly used to sway and manipulate public opinion. This prompts the need to study their propagation, evolution, and influence across the Web. In this paper, we detect and measure the propagation of memes across multiple Web communities, using a processing pipeline based on perceptual hashing and clustering techniques, and a dataset of 160M images from 2.6B posts gathered from Twitter, Reddit, 4chan's Politically Incorrect board (/pol/), and Gab, over the course of 13 months. We group the images posted on fringe Web communities (/pol/, Gab, and The_Donald subreddit) into clusters, annotate them using meme metadata obtained from Know Your Meme, and also map images from mainstream communities (Twitter and Reddit) to the clusters. Our analysis provides an assessment of the popularity and diversity of memes in the context of each community, showing, e.g., that racist memes are extremely common in fringe Web communities. We also find a substantial number of politics-related memes on both mainstream and fringe Web communities, supporting media reports that memes might be used to enhance or harm politicians. Finally, we use Hawkes processes to model the interplay between Web communities and quantify their reciprocal influence, finding that /pol/ substantially influences the meme ecosystem with the number of memes it produces, while The_Donald has a higher success rate in pushing them to other communities.en_US
dc.language.isoen_US
dc.titleOn the origins of memes by means of fringe web communitiesen_US
dc.typeConference materialsen_US
dc.description.versionAccepted manuscripten_US
pubs.elements-sourcemanual-entryen_US
pubs.notesEmbargo: No embargoen_US
pubs.organisational-groupBoston Universityen_US
pubs.organisational-groupBoston University, College of Engineeringen_US
pubs.organisational-groupBoston University, College of Engineering, Department of Electrical & Computer Engineeringen_US
pubs.publication-statusPublisheden_US
dc.identifier.mycv416251


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