Open AccessProceedings Article
Predicting Elections with Twitter: What 140 Characters Reveal about Political Sentiment
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TLDR
It is found that the mere number of messages mentioning a party reflects the election result, and joint mentions of two parties are in line with real world political ties and coalitions.Abstract:
Twitter is a microblogging website where users read and write millions of short messages on a variety of topics every day This study uses the context of the German federal election to investigate whether Twitter is used as a forum for political deliberation and whether online messages on Twitter validly mirror offline political sentiment Using LIWC text analysis software, we conducted a content-analysis of over 100,000 messages containing a reference to either a political party or a politician Our results show that Twitter is indeed used extensively for political deliberation We find that the mere number of messages mentioning a party reflects the election result Moreover, joint mentions of two parties are in line with real world political ties and coalitions An analysis of the tweets’ political sentiment demonstrates close correspondence to the parties' and politicians’ political positions indicating that the content of Twitter messages plausibly reflects the offline political landscape We discuss the use of microblogging message content as a valid indicator of political sentiment and derive suggestions for further researchread more
Citations
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Tracking Sentiment Evolution on User-Generated Content: A Case Study on the Brazilian Political Scene.
Diego Tumitan,Karin Becker +1 more
TL;DR: The ultimate goal was to detect whether user comments on an on-line newspapers reflect external indicators of public acceptance (e.g. vote intention) and to identify and classify sentiment in news comments written in Portuguese language and to correlate it to external indicators.
Journal ArticleDOI
Assessing public sentiments and news preferences on Al Jazeera and Al Arabiya
TL;DR: The results indicate that commentators expressed some dominant sentiments that are mostly in line with the TV channels’ coverage of certain events, while certain news topics attracted most of the online public’s comments especially on Al Jazeera channel.
Journal ArticleDOI
Media use during conflicts: Information seeking and political efficacy during the 2012 Mexican elections
TL;DR: It is suggested that in conditions of uncertain political information, social networks and online information sources are essential to political information efficacy and democratic political participation.
Journal ArticleDOI
Comparing Print Coverage and Tweets in Elections: A Case Study of the 2011-2012 U.S. Republican Primaries
Dhiraj Murthy,Laura R. Petto +1 more
TL;DR: This article explored the relationship between print media coverage and the frequency and sentiment of election-related tweets and found that the newspapers sampled as a whole had a weak relationship with tweet frequency and sentiments, while other opinions, values, and sentiments may have stronger influence within the medium.
References
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Journal ArticleDOI
The psychological meaning of words: LIWC and computerized text analysis methods
TL;DR: The Linguistic Inquiry and Word Count (LIWC) system as discussed by the authors is a text analysis system that counts words in psychologically meaningful categories to detect meaning in a wide variety of experimental settings, including to show attentional focus, emotionality, social relationships, thinking styles and individual differences.
Journal ArticleDOI
Detecting influenza epidemics using search engine query data
Jeremy Ginsberg,Matthew H. Mohebbi,Rajan Patel,Lynnette Brammer,Mark S. Smolinski,Lawrence B. Brilliant +5 more
TL;DR: A method of analysing large numbers of Google search queries to track influenza-like illness in a population and accurately estimate the current level of weekly influenza activity in each region of the United States with a reporting lag of about one day is presented.
Proceedings ArticleDOI
Why we twitter: understanding microblogging usage and communities
TL;DR: It is found that people use microblogging to talk about their daily activities and to seek or share information and the user intentions associated at a community level are analyzed to show how users with similar intentions connect with each other.
Proceedings ArticleDOI
The political blogosphere and the 2004 U.S. election: divided they blog
Lada A. Adamic,Natalie S. Glance +1 more
TL;DR: Differences in the behavior of liberal and conservative blogs are found, with conservative blogs linking to each other more frequently and in a denser pattern.
Proceedings ArticleDOI
Predicting the Future with Social Media
TL;DR: It is shown that a simple model built from the rate at which tweets are created about particular topics can outperform market-based predictors and improve the forecasting power of social media.