activity
20042016
most citedA meta-analysis of state-of-the-art electoral prediction from Twitter data

327 citations · 605 across the 10 of their papers we have counts for

collaborators

10 papers

cs.CY2016★ 2 cited

How I Stopped Worrying about the Twitter Archive at the Library of Congress and Learned to Build a Little One for Myself

Daniel Gayo-Avello

Twitter is among the commonest sources of data employed in social media research mainly because of its convenient APIs to collect tweets. However, most researchers do not have acce…

cs.CL2015

Automatic Taxonomy Extraction from Query Logs with no Additional Sources of Information

Miguel Fernandez-Fernandez, Daniel Gayo-Avello

Search engine logs store detailed information on Web users interactions. Thus, as more and more people use search engines on a daily basis, important trails of users common knowled…

cs.SI2012★ 327 cited

A meta-analysis of state-of-the-art electoral prediction from Twitter data

Daniel Gayo-Avello

Electoral prediction from Twitter data is an appealing research topic. It seems relatively straightforward and the prevailing view is overly optimistic. This is problematic because…

cs.CY2012★ 166 cited

"I Wanted to Predict Elections with Twitter and all I got was this Lousy Paper" -- A Balanced Survey on Election Prediction using Twitter Data

Daniel Gayo-Avello

Predicting X from Twitter is a popular fad within the Twitter research subculture. It seems both appealing and relatively easy. Among such kind of studies, electoral prediction is…

cs.SI2010★ 14 cited

All liaisons are dangerous when all your friends are known to us

Daniel Gayo-Avello

Online Social Networks (OSNs) are used by millions of users worldwide. Academically speaking, there is little doubt about the usefulness of demographic studies conducted on OSNs an…

cs.SI2010★ 10 cited

De retibus socialibus et legibus momenti

Daniel Gayo-Avello, David J. Brenes, Diego Fernández-Fernández +2

Online Social Networks (OSNs) are a cutting edge topic. Almost everybody --users, marketers, brands, companies, and researchers-- is approaching OSNs to better understand them and…