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Automatic Detection of Political Opinions in Tweets [chapter]

Diana Maynard, Adam Funk
2012 Lecture Notes in Computer Science  
impact of an entity or event on the overall sentiment about an entity or another event, over the course of time • In politics, crucial to know how political events impact on people's opinions towards  ...  Streaming API to collect all the tweets over the pre-election period according to various criteria (use of certain hash tags, mention of various political parties etc.) • Collected tweets in json format  ... 
doi:10.1007/978-3-642-25953-1_8 fatcat:5daq5jantneclawxdlhgydfhni

Towards Passive Political Opinion Polling using Twitter

Nicholas A. Thapen, Moustafa M. Ghanem
2013 SGAI Conferences  
In this paper, we present a number of case studies for the automatic analysis of UK political tweets.  ...  The open nature of Twitter, together with its large volume of traffic, makes it a useful resource for new forms of 'passive' opinion polling, i.e. automatically monitoring and detecting which key issues  ...  We also developed and investigated the use of automatic topic identification techniques from the tweets and compared the outputs to key issues identified as important in opinion polls.  ... 
dblp:conf/sgai/ThapenG13 fatcat:6n6sfixybzaczkx2iv3hljer7y

INF-UFRGS-OPINION-MINING at SemEval-2016 Task 6: Automatic Generation of a Training Corpus for Unsupervised Identification of Stance in Tweets

Marcelo Dias, Karin Becker
2016 Proceedings of the 10th International Workshop on Semantic Evaluation (SemEval-2016)  
This paper describe a weakly supervised solution for detecting stance in tweets, submitted to the SemEval 2016 Stance Task.  ...  Our system receives as input ngrams representing opinion targets and common terms used to denote stance (e.g. hashtags), and use these features, together with the sentiment detection solutions, to automatically  ...  The automatically labeled tweets are then used to train a classifier to detect stance in tweets, resulting in a stance prediction model.  ... 
doi:10.18653/v1/s16-1061 dblp:conf/semeval/DiasB16 fatcat:a74zkycg4zahfhcs4lbmkybn6e

Active learning in annotating micro-blogs dealing with e-reputation [article]

Jean-Valère Cossu, Alejandro Molina-Villegas, Mariana Tello-Signoret
2017 arXiv   pre-print
Opinion and trend mining on micro blogs dealing with politics has recently attracted researchers in several fields including Information Retrieval and Machine Learning (ML).  ...  We therefore review state of the art NLP-based ML algorithms to automatically annotate tweets using a manual initiation step as bootstrap.  ...  We demonstrated our approach efficiency by comparing automatic aspect-oriented opinion annotation of tweets to label that have been proposed by experts in political science.  ... 
arXiv:1706.05349v3 fatcat:croughhzizas5gxnie3ouam76a


Shofiya Syidada, Noor Fitria Azzahra, Eva Yulia Puspaningrum
2014 JUTI: Jurnal Ilmiah Teknologi Informasi  
In this paper, we propose a new framework for promoter account detection. This framework based on twitter content to detect promoter account according to their existence in topic of promotion.  ...  In the political area, Twitter provides various features as a media to promote campaign and get a good imaging for political party or contestant.  ...  Canover, [2] , in 2010 when the U.S. elections occur, conduct research to predict political leanings of twitter users based on the content and structure of political communication twit.  ... 
doi:10.12962/j24068535.v12i1.a44 fatcat:3xuyuesxqnbndlsd6qflghp5ei

Inferring Political Preferences from Twitter [article]

Mohd Zeeshan Ansari, Areesha Fatima Siddiqui, Mohammad Anas
2020 arXiv   pre-print
In this work, we chose to identify the inclination of political opinions present in Tweets by modelling it as a text classification problem using classical machine learning.  ...  Sentiment analysis is the task of automatic analysis of opinions and emotions of users towards an entity or some aspect of that entity.  ...  Proposed Method Political Corpus Preparation The scraping of the politically inclined tweets from Twitter is carried using the automatic tool.  ... 
arXiv:2007.10604v1 fatcat:fynk2x6j4ve7foyylj4lxfalta

Identifying Purpose Behind Electoral Tweets [article]

Saif M. Mohammad, Svetlana Kiritchenko, Joel Martin
2013 arXiv   pre-print
Tweets pertaining to a single event, such as a national election, can number in the hundreds of millions.  ...  Automatically analyzing them is beneficial in many downstream natural language applications such as question answering and summarization.  ...  and political opinions [20] , detecting the amount of polarization in the electorate [11] , and so on.  ... 
arXiv:1311.1194v1 fatcat:i4sjobxtzvhbxn3cpyg5mhncbq

Effects of Social Bots in the Iran-Debate on Twitter [article]

Andree Thieltges, Orestis Papakyriakopoulos, Juan Carlos Medina Serrano, Simon Hegelich
2018 arXiv   pre-print
Thereby, we would like to illustrate a detectable effect of social bots on political discussions on Twitter.  ...  Many reports and scientific examinations considered online social networks (OSN's) such as Twitter or Facebook to play a critical role in the opinion making of people behind those protests.  ...  public opinion and that they are "deployed" to polarize in "sensitive political moments".  ... 
arXiv:1805.10105v1 fatcat:ggr53l7gvnc4hnw7ayoutrmp7q

Identifying purpose behind electoral tweets

Saif M. Mohammad, Svetlana Kiritchenko, Joel Martin
2013 Proceedings of the Second International Workshop on Issues of Sentiment Discovery and Opinion Mining - WISDOM '13  
Tweets pertaining to a single event, such as a national election, can number in the hundreds of millions.  ...  Automatically analyzing them is beneficial in many downstream natural language applications such as question answering and summarization.  ...  political opinions [19] , detecting the amount of polarization in the electorate [10] , and so on.  ... 
doi:10.1145/2502069.2502070 dblp:conf/kdd/MohammadKM13 fatcat:slroxhhx7fcgbmuef465fr5wii

Sentiment, emotion, purpose, and style in electoral tweets

Saif M. Mohammad, Xiaodan Zhu, Svetlana Kiritchenko, Joel Martin
2015 Information Processing & Management  
Finally, we describe how we developed automatic classifiers, using features from state-of-the-art sentiment analysis systems, to predict emotion and purpose labels, respectively, in new unseen tweets.  ...  the impact of tweets from various entities, etc.  ...  Automatically Detecting Semantic Roles of Emotions in Tweets Since in most instances (99.83%) the experiencer of emotions in a tweet is the tweeter, in this section we focus on automatically detecting  ... 
doi:10.1016/j.ipm.2014.09.003 fatcat:hjwc4vtw5be2lhdfv5535lsn2a

Seminar Users in the Arabic Twitter Sphere [article]

Kareem Darwish, Dimitar Alexandrov, Preslav Nakov, Yelena Mejova
2017 arXiv   pre-print
In our case study, we found that 25% of the users engaged in the topic are in fact seminar users and their tweets make nearly a third of the on-topic tweets.  ...  We introduce the notion of "seminar users", who are social media users engaged in propaganda in support of a political entity.  ...  Thus, the contributions of this work are as follows: -We present a method for the automatic detection of seminar users that engage in political discourse in the Arab world.  ... 
arXiv:1707.07276v1 fatcat:kj7t6bjfurh43akssglhs735cq

Probabilistic User-Level Opinion Detection on Online Social Networks [chapter]

Kasturi Bhattacharjee, Linda Petzold
2014 Lecture Notes in Computer Science  
We use it to detect opinions on two current topics: U.S. Politics and Obamacare.  ...  Our approach requires no manual labeling of features, and is able to identify user opinion with a very high accuracy over a randomly chosen set of users tweeting on each topic.  ...  Thus the method results in automatic selection of the most useful features for opinion detection.  ... 
doi:10.1007/978-3-319-13734-6_23 fatcat:xjo6ipui5ne5zdoloiz7ztylwa

Political Communities on Twitter: Case Study of the 2022 French Presidential Election [article]

Hadi Abdine, Yanzhu Guo, Virgile Rennard, Michalis Vazirgiannis
2022 arXiv   pre-print
Finally, we attempt to detect offensive tweets and automatic bots, comparing across communities in order to gain insight into each candidate's supporter demographics and online campaign strategy.  ...  We perform community detection on a retweet graph of users and propose an in-depth analysis of the stance of each community.  ...  Limitations of Automatic Bot Detection It is important to keep in mind that bot detection, while being effective, is a limited approach, especially in the case of political elections.  ... 
arXiv:2204.07436v1 fatcat:rccbsbyk3feknheodpqdvvhj4e

Strategies and Influence of Social Bots in a 2017 German state election - A case study on Twitter [article]

Florian Brachten, Stefan Stieglitz, Lennart Hofeditz, Katharina Kloppenborg, Annette Reimann
2017 arXiv   pre-print
To gain insight in the use of these bots in the run-up to the German Bundestag elections, we collected a dataset from Twitter consisting of tweets regarding a German state election in May 2017.  ...  As social media has permeated large parts of the population it simultaneously has become a way to reach many people e.g. with political messages.  ...  Another term often used in the context is the so called astroturfing -tweeting or retweeting a (political) opinion to suggest broad consensus around this opinion.  ... 
arXiv:1710.07562v1 fatcat:zhtmcrm6incljg55zqdk7x774i

Bilingual and Cross Domain Politics Analysis

Jean-Valère Cossu, Rocío Abascal-Mena, Alejandro Molina, Juan-Manuel Torres-Moreno, Eric SanJuan
2014 Research in Computing Science  
This paper describe a ML approach to automatically annotate Spanish tweets dealing with the online-reputation of politicians.  ...  Opinion mining on Twitter recently attracted research interest in politics using Information Retrieval (IR) and Natural Language Processing (NLP).  ...  Lexicon approach Our collection was analysed by using a lexicon approach combined with a linguistic analysis in order to detect sentiments, during a period of time, in social and political tweets.  ... 
doi:10.13053/rcs-85-1-1 fatcat:qg5px2xdzzaxxluc23aoh6jlgy
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