"I Wanted to Predict Elections with Twitter and all I got was this Lousy Paper" -- A Balanced Survey on Election Prediction using Twitter Data
arXiv:1204.6441
Abstract
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 maybe the most attractive, and at this moment there is a growing body of literature on such a topic. This is not only an interesting research problem but, above all, it is extremely difficult. However, most of the authors seem to be more interested in claiming positive results than in providing sound and reproducible methods. It is also especially worrisome that many recent papers seem to only acknowledge those studies supporting the idea of Twitter predicting elections, instead of conducting a balanced literature review showing both sides of the matter. After reading many of such papers I have decided to write such a survey myself. Hence, in this paper, every study relevant to the matter of electoral prediction using social media is commented. From this review it can be concluded that the predictive power of Twitter regarding elections has been greatly exaggerated, and that hard research problems still lie ahead.
13 pages, no figures. Annotated bibliography of 25 papers regarding electoral prediction from Twitter data
References in corpus (1)
Cited by in corpus (25)
- The Twitter of Babel: Mapping World Languages through Microblogging Platforms
- Early Prediction of Movie Box Office Success based on Wikipedia Activity Big Data
- The dynamic of information-driven coordination phenomena: a transfer entropy analysis
- Social Politics: Agenda Setting and Political Communication on Social Media
- Twitter-based analysis of the dynamics of collective attention to political parties
- US Presidential Election 2012 Prediction using Census Corrected Twitter Model
- A Biased Review of Biases in Twitter Studies on Political Collective Action
- Using Social Media to Predict the Future: A Systematic Literature Review
- Can electoral popularity be predicted using socially generated big data?
- A Review of Features for the Discrimination of Twitter Users: Application to the Prediction of Offline Influence
- POPmine: Tracking Political Opinion on the Web
- Improved Twitter Sentiment Prediction through Cluster-then-Predict Model
- Perils and Challenges of Social Media and Election Manipulation Analysis: The 2018 US Midterms
- Critical states in Political Trends. How much reliable is a poll on Twitter? A study by means of the Potts Model
- TwitterPaul: Extracting and Aggregating Twitter Predictions
- Integrating sentiment and social structure to determine preference alignments: The Irish Marriage Referendum
- Can Online Emotions Predict the Stock Market in China?
- Towards Learning Instantiated Logical Rules from Knowledge Graphs
- Efficient Loss-Based Decoding on Graphs For Extreme Classification
- Correcting public opinion trends through Bayesian data assimilation
- TED-On: A Total Error Framework for Digital Traces of Human Behavior on Online Platforms
- Political Advertising Dataset: the use case of the Polish 2020 Presidential Elections
- Identifying Purpose Behind Electoral Tweets
- Sentiment Aggregate Functions for Political Opinion Polling using Microblog Streams
- Semantic Web Today: From Oil Rigs to Panama Papers