Proceedings of the Internet Measurement Conference 2018最新文献

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On the Origins of Memes by Means of Fringe Web Communities 从边缘网络社区看模因的起源

Proceedings of the Internet Measurement Conference 2018 Pub Date : 2018-05-31 DOI: 10.1145/3278532.3278550

Savvas Zannettou, T. Caulfield, Jeremy Blackburn, Emiliano De Cristofaro, Michael Sirivianos, G. Stringhini, Guillermo Suarez-Tangil

{"title":"On the Origins of Memes by Means of Fringe Web Communities","authors":"Savvas Zannettou, T. Caulfield, Jeremy Blackburn, Emiliano De Cristofaro, Michael Sirivianos, G. Stringhini, Guillermo Suarez-Tangil","doi":"10.1145/3278532.3278550","DOIUrl":"https://doi.org/10.1145/3278532.3278550","url":null,"abstract":"Internet 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.","PeriodicalId":20640,"journal":{"name":"Proceedings of the Internet Measurement Conference 2018","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83622714","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 215

A Long Way to the Top: Significance, Structure, and Stability of Internet Top Lists 通往巅峰的漫漫长路:互联网排行榜的意义、结构与稳定性

Proceedings of the Internet Measurement Conference 2018 Pub Date : 2018-05-29 DOI: 10.1145/3278532.3278574

Quirin Scheitle, O. Hohlfeld, Julien Gamba, Jonas Jelten, T. Zimmermann, Stephen D. Strowes, N. Vallina-Rodriguez

{"title":"A Long Way to the Top: Significance, Structure, and Stability of Internet Top Lists","authors":"Quirin Scheitle, O. Hohlfeld, Julien Gamba, Jonas Jelten, T. Zimmermann, Stephen D. Strowes, N. Vallina-Rodriguez","doi":"10.1145/3278532.3278574","DOIUrl":"https://doi.org/10.1145/3278532.3278574","url":null,"abstract":"A broad range of research areas including Internet measurement, privacy, and network security rely on lists of target domains to be analysed; researchers make use of target lists for reasons of necessity or efficiency. The popular Alexa list of one million domains is a widely used example. Despite their prevalence in research papers, the soundness of top lists has seldom been questioned by the community: little is known about the lists' creation, representativity, potential biases, stability, or overlap between lists. In this study we survey the extent, nature, and evolution of top lists used by research communities. We assess the structure and stability of these lists, and show that rank manipulation is possible for some lists. We also reproduce the results of several scientific studies to assess the impact of using a top list at all, which list specifically, and the date of list creation. We find that (i) top lists generally overestimate results compared to the general population by a significant margin, often even an order of magnitude, and (ii) some top lists have surprising change characteristics, causing high day-to-day fluctuation and leading to result instability. We conclude our paper with specific recommendations on the use of top lists, and how to interpret results based on top lists with caution.","PeriodicalId":20640,"journal":{"name":"Proceedings of the Internet Measurement Conference 2018","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73576621","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 136

In the IP of the Beholder: Strategies for Active IPv6 Topology Discovery 在旁观者的IP:主动IPv6拓扑发现策略

Proceedings of the Internet Measurement Conference 2018 Pub Date : 2018-05-29 DOI: 10.1145/3278532.3278559

Robert Beverly, Ramakrishnan Durairajan, D. Plonka, Justin P. Rohrer

引用次数: 51

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