Can One Tamper with the Sample API? - Toward Neutralizing Bias from Spam and Bot Content Fred Morstatter, Harsh Dani, Justin Sampson, and Huan Liu Arizona State University, Tempe, AZ, USA {fred.morstatter, harsh.dani, j - Adaptive estimator - Document - PDFSEARCH.IO

First Page		Document Content
Date: 2017-10-04 00:54:05 Software Digital media Computing Social networking services Microblogging Real-time web Text messaging Twitter Social media Application programming interface Sampling Tweet		Can One Tamper with the Sample API? - Toward Neutralizing Bias from Spam and Bot Content Fred Morstatter, Harsh Dani, Justin Sampson, and Huan Liu Arizona State University, Tempe, AZ, USA {fred.morstatter, harsh.dani, j Add to Reading List Source URL: gdac.uqam.ca Download Document from Source Website File Size: 765,29 KB Share Document on Facebook

	Information Diffusion and Provenance of Interactions in Twitter: Is it only about Retweets? Io Taxidou* Peter M. Fischer* Tom De Nies‡ DocID: 1xVN1 - View Document
	Fusing Social Media Cues: Personality Prediction from Twitter and Instagram Marcin Skowron Marko Tkalˇciˇc DocID: 1xVgG - View Document
	Visual Event Mining from the Twitter Stream Takamu Kaneko Keiji Yanai Department of Informatics, The University of Electro-Communications, Tokyo DocID: 1xV70 - View Document
	Twitter at Twitter.com/TBTimess For more information about NIE, visit tampabay.com/nie or call DocID: 1xUMF - View Document
	WHITE PAPER Supercar Smart Contracts www.cryptocars.cc Facebook: FB.com/cryptocarscc Twitter: @cryptocarscc DocID: 1xUK4 - View Document