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Predicting the Brexit Vote by Tracking and Classifying Public Opinion Using Twitter Data

https://doi.org/10.1515/spp-2017-0006
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1016/j.electstud.2015.11.017openalex-snapshot
140 characters to victory?: Using Twitter to predict the UK 2015 General Election
inferredcites →https://doi.org/10.1016/j.ijforecast.2014.08.005openalex-snapshot
Can we vote with our tweet? On the perennial difficulty of election forecasting with social media
inferredcites →https://doi.org/10.1017/cbo9780511664113openalex-snapshot
Citizens, Politics and Social Communication
inferredcites →https://doi.org/10.1017/cbo9780511809071openalex-snapshot
Introduction to Information Retrieval
inferredcites →https://doi.org/10.1017/cbo9781316212783openalex-snapshot
Hacking the Electorate
inferredcites →https://doi.org/10.1017/psrm.2015.1openalex-snapshot
From Posting to Voting: The Effects of Political Competition on Online Political Engagement
inferredcites →https://doi.org/10.1057/9781137453662_6openalex-snapshot
Do We Need Polls? Why Twitter Will Not Replace Opinion Surveys, but Can Complement Them
inferredcites →https://doi.org/10.1080/1369118x.2014.892149openalex-snapshot
Twitter publics: how online political communities signaled electoral outcomes in the 2010 US house election
inferredcites →https://doi.org/10.1080/19331681.2012.705080openalex-snapshot
(Wisdom of the Crowds)2: 2010 UK Election Prediction with Social Media
inferredcites →https://doi.org/10.1093/pan/mpu011openalex-snapshot
Birds of the Same Feather Tweet Together: Bayesian Ideal Point Estimation Using Twitter Data
inferredcites →https://doi.org/10.1109/mic.2012.137openalex-snapshot
No, You Cannot Predict Elections with Twitter
inferredcites →https://doi.org/10.1111/ajps.12274openalex-snapshot
Predicting and Interpolating State‐Level Polls Using Twitter Textual Data
inferredcites →https://doi.org/10.1111/j.1468-2508.2007.00576.xopenalex-snapshot
Information, Activation, and Electoral Competition in the 2002 Congressional Elections
inferredcites →https://doi.org/10.1111/j.1540-5907.2009.00428.xopenalex-snapshot
A Method of Automated Nonparametric Content Analysis for Social Science
inferredcites →https://doi.org/10.1145/1871437.1871741openalex-snapshot
Classifying sentiment in microblogs
inferredcites →https://doi.org/10.1146/annurev-polisci-101513-113724openalex-snapshot
Measuring Public Opinion with Surveys
inferredcites →https://doi.org/10.1177/0894439314558836openalex-snapshot
Understanding the Political Representativeness of Twitter Users
inferredcites →https://doi.org/10.1177/1461444813480466openalex-snapshot
Every tweet counts? How sentiment analysis of social media can improve our knowledge of citizens’ political preferences with an application to Italy and France
inferredcites →https://doi.org/10.1371/journal.pone.0079449openalex-snapshot
More Tweets, More Votes: Social Media as a Quantitative Indicator of Political Behavior
inferredcites →https://doi.org/10.1371/journal.pone.0095809openalex-snapshot
A Multi-Level Geographical Study of Italian Political Elections from Twitter Data
inferredcites →https://doi.org/10.1504/ijode.2014.065094openalex-snapshot
The formation of political discourse within online networks: the case of the occupy movement
inferredcites →https://doi.org/10.1609/icwsm.v4i1.14009openalex-snapshot
Predicting Elections with Twitter: What 140 Characters Reveal about Political Sentiment
inferredcites →https://doi.org/10.1609/icwsm.v5i1.14189openalex-snapshot
Limits of Electoral Predictions Using Twitter
inferredcites →https://doi.org/10.1609/icwsm.v7i1.14401openalex-snapshot
Is the Sample Good Enough? Comparing Data from Twitter's Streaming API with Twitter's Firehose
inferredcites →https://doi.org/10.2139/ssrn.2798311openalex-snapshot
Bots, #Strongerin, and #Brexit: Computational Propaganda During the UK-EU Referendum
inferredcites →https://doi.org/10.2307/j.ctv1pnc1k7openalex-snapshot
Voice and Equality
inferredcites →https://doi.org/10.48550/arxiv.1201.0490openalex-snapshot
Scikit-learn: Machine Learning in Python
inferredcites →https://doi.org/10.5860/choice.195209openalex-snapshot
Hacking the electorate: how campaigns perceive voters
inferredcites →https://doi.org/10.5860/choice.33-3582openalex-snapshot
Citizens, politics, and social communication: information and influence in an election campaign
inferredcites →https://doi.org/10.5860/choice.46-2715openalex-snapshot
Introduction to information retrieval

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Identity, Media and Consumer Behavior
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Risk-Corrected Probabilities of a Binary Event
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City Link: Finding Similar Areas in Two Cities Using Twitter Data
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Linking the Dynamics of User Stance to the Structure of Online Discussions
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Social Interactions, Resilience, and Access to Economic Opportunity: A Research Agenda for the Field of Computational Social Science
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Stance Detection for Gauging Public Opinion: A Statistical Analysis of the Difference Between Tweet-Based and User-Based Stance in Twitter
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Comparative Analysis of Public Transportation Through Sentiment Analysis and Topic Modeling
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Sex-based misconduct, media exposure, and gender diversity: evidence from the US information technology boards of directors
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Big data-drive agent-based modeling of online polarized opinions
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Towards a large-scale twitter observatory for political events
inferred← citeshttps://doi.org/10.1016/j.ijinfomgt.2019.102048openalex-snapshot
Big data analytics and international negotiations: Sentiment analysis of Brexit negotiating outcomes
inferred← citeshttps://doi.org/10.1017/9781009343602.013openalex-snapshot
Big Social Interactions
inferred← citeshttps://doi.org/10.1038/s41598-018-26951-yopenalex-snapshot
Validation of Twitter opinion trends with national polling aggregates: Hillary Clinton vs Donald Trump
inferred← citeshttps://doi.org/10.1080/09720510.2019.1582879openalex-snapshot
Framework for SLEPS : Self learning electoral results prediction system
inferred← citeshttps://doi.org/10.1080/1057610x.2019.1575036openalex-snapshot
Understanding Electoral Violence through Complex Textual Data: OSCE Monitoring Missions in Different Contexts
inferred← citeshttps://doi.org/10.1080/10758216.2025.2490926openalex-snapshot
Faced with Information Overload: What Citizen Input Receives Leaders’ Attention in Authoritarian China
inferred← citeshttps://doi.org/10.1080/13216597.2023.2203687openalex-snapshot
‘God forbid we’d be infected’: framing and counter-framing of the ‘Corona Cruise Ship’ in Israeli media
inferred← citeshttps://doi.org/10.1080/1461670x.2023.2289891openalex-snapshot
Dynamics of Campaign, Press, and Public Discourse in Electoral Politics
inferred← citeshttps://doi.org/10.1093/oso/9780198832348.001.0001openalex-snapshot
A Behavioural Theory of Economic Development
inferred← citeshttps://doi.org/10.1093/oso/9780198832348.002.0003openalex-snapshot
Copyright Page
inferred← citeshttps://doi.org/10.1093/oso/9780198832348.002.0004openalex-snapshot
Dedication
inferred← citeshttps://doi.org/10.1093/oso/9780198832348.002.0006openalex-snapshot
List of Figures
inferred← citeshttps://doi.org/10.1093/oso/9780198832348.002.0007openalex-snapshot
List of Tables
inferred← citeshttps://doi.org/10.1093/oso/9780198832348.003.0001openalex-snapshot
Introduction
inferred← citeshttps://doi.org/10.1093/oso/9780198832348.003.0002openalex-snapshot
Human Behaviour and the Development of Cities and Regions
inferred← citeshttps://doi.org/10.1093/oso/9780198832348.003.0003openalex-snapshot
The Psychocultural Life of Cities and Regions
inferred← citeshttps://doi.org/10.1093/oso/9780198832348.003.0004openalex-snapshot
Agency, Economic Evolution, and History
inferred← citeshttps://doi.org/10.1093/oso/9780198832348.003.0005openalex-snapshot
Institutions, Capital, and Network Behaviour
inferred← citeshttps://doi.org/10.1093/oso/9780198832348.003.0006openalex-snapshot
The Co-evolution of Culture, Psychology, and Institutions
inferred← citeshttps://doi.org/10.1093/oso/9780198832348.003.0007openalex-snapshot
The Nature and Sources of Agency
inferred← citeshttps://doi.org/10.1093/oso/9780198832348.003.0008openalex-snapshot
Agency, Entrepreneurship, and Innovation
inferred← citeshttps://doi.org/10.1093/oso/9780198832348.003.0009openalex-snapshot
An Extended Behavioural Model of Economic Development
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Addressing Unevenness
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Research Synthesis
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References
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Content-based Classification of Political Inclinations of Twitter Users
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Identifying Social Media Content Supporting Proud Boys
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Identifying Social Media Content Supporting Proud Boys
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Predicting the Political Polarity of Tweets Using Supervised Machine Learning
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Entity-Aspect Linking
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Nowcasting the Stance of Social Media Users in a Sudden Vote
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Counter-framing: Implications for public relations
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The Long-Running Debate about Brexit on Social Media
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Tweeting dystopia : the impact of cybermediaries on the process of making public policy
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Content-based Stance Classification of Tweets about the 2020 Italian Constitutional Referendum
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Small Data Problems in Political Research: A Critical Replication Study
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A Sentiment Analysis of the PhD Experience Evidenced on Twitter
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A Systematic Evaluation of Text Mining Methods for Short Texts: Mapping Individuals’ Internal States from Online Posts
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DEPICTING U.S.-CHINA DISPUTES ON TECH GIANTS THROUGH SOCIAL MEDIA: AN ATTEMPT OF COMPUTATIONAL POLITICAL COMMUNICATION
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CHINESE IT COMPANIES UNDER U.S.-CHINA TRADE WAR: A COMPUTATIONAL POLITICAL COMMUNICATION PERSPECTIVE
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Raumgeographische Verteilung von Twitter-Hashtags im deutschen Sprachraum
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