Votes on Twitter: Assessing Candidate Preferences and Topics of Discussion During the 2016 U.S. Presidential Election

Fang, Anjie; Habel, Philip; Ounis, Iadh; Macdonald, Craig

doi:10.1177/2158244018791653

Cited by 10 publications

(6 citation statements)

References 24 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…understanding Twitter discussions during natural disasters, such as Hurricane Sandy [9]; and mining public opinion during different events, such as the 2016 U.S. elections [10] and the #metoo movement representing sexual harassment experiences [11].…”

Section: Introductionmentioning

confidence: 99%

Analysis of Geotagging Behavior: Do Geotagged Users Represent the Twitter Population?

Karami

Kadari

Panati

et al. 2021

IJGI

View full text Add to dashboard Cite

Twitter’s APIs are now the main data source for social media researchers. A large number of studies have utilized Twitter data for diverse research interests. Twitter users can share their precise real-time location, and Twitter APIs can provide this information as longitude and latitude. These geotagged Twitter data can help to study human activities and movements for different applications. Compared to the mostly small-scale data samples in different domains, such as social science, collecting geotagged data offers large samples. There is a fundamental question whether geotagged users can represent non-geotagged users. While some studies have investigated the question from different perspectives, they did not investigate profile information and the contents of tweets of geotagged and non-geotagged users. This empirical study addresses this limitation by applying text mining, statistical analysis, and machine learning techniques on Twitter data comprising more than 88,000 users and over 170 million tweets. Our findings show that there is a significant difference (p-value < 0.001) between geotagged and non-geotagged users based on 73% of the features obtained from the users’ profiles and tweets. The features can also help to distinguish between geotagged and non-geotagged users with around 80% accuracy. This research illustrates that geotagged users do not represent the Twitter population.

show abstract

Section: Introductionmentioning

confidence: 99%

Analysis of Geotagging Behavior: Do Geotagged Users Represent the Twitter Population?

Karami

Kadari

Panati

et al. 2021

IJGI

View full text Add to dashboard Cite

show abstract

“…Research indicates that negative dialect rises the number of retweets of a particular tweet obtains, showing likings for negativity among the Twitter audience (Mueller, Saeltzer, 2020). Thus Social media can open channels for political expression, engagement, and participation for both candidates and voters simultaneously (Tucker et al 2017).…”

Section: Discussionmentioning

confidence: 99%

Social Media Political Campaign in District Hyderabad, Sindh, Pakistan

2021

Media Education (Mediaobrazovanie)

View full text Add to dashboard Cite

Since decades, a new era of the election campaign has grown in Pakistani politics by shifting the purpose of consideration from the streets to Social media. This undertaking can be called as social media political campaigning. Political communication is a very huge and fascinating part of Social media. For about 2 decades, the domain of World Wide Web has transformed the globe and developed by what means information is kept, circulated, explored and used. Each political party is trying to make its full and extreme struggle to cover the cyberspace better than its rivals do. In this way, this study hence, is an attempt to know that what level of social media Political campaign offers the opportunities and prospects to the voters to know about their leaders, party thoughts, ideology, and party manifestos. These help voters to decide who is the best party or candidate for the nominated position. In this research study, there are three main Political Parties of Pakistan, having most of the public affiliation. These political parties are "Pakistan Muslim League Nawaz (PML N), Pakistan People's Party (PPP), and Pakistan Tehreek e Insaaf (PTI) The data was collected by applying a purposive non probability sampling technique. Whereas, the finding are presented in tabular form and then the data findings in table have been described. The key finding showed those respondents were frequently users of social media specifically Facebook and Twitter. They have enough exposure to political content through social media. Finding shows that users consume knowledge regarding party manifestos and have much knowledge of political content through social media political campaign.

show abstract

“…In particular, politicians have adopted Twitter as one of the main tools for effectively interact in real-time with their audiences (Vergeer & Hermans, 2013;Graham, Jackson & Broersma, 2014), and citizens have also adopted the microblogging platform as a way for them to express their political attitudes and preferences (Amaral, Zamora, Grandío & Noguera, 2016;Hosch-Dayican, Amrit, Aarts & Dassen, 2016;Said-Hung, Prati & Cancino-Borbón, 2017;Cifuentes & Pino, 2018). Since social networks interactions are considered to follow a filter buble logic (Pariser, 2012) and can thus be easily used to reveal users' preferences, a considerable part of the research in Twitter has been focused on the uncovering of latent attributes of the users, in particular their political preferences (Guerrero-Solé, Corominas-Murtra & López-González, 2014;Fang, Habel, Ounis & MacDonald, 2019), or their political activity online (Bruns & Highfield, 2013;Gelado-Marcos, Rubira-García, & Navío-Navarro, 2019).…”

Section: Twitter and Políticsmentioning

confidence: 99%

Politicized celebrities against far-right on Twitter. Political preferences and activity of users retweeting Rosalia’s anti Vox tweet after the 2019 general elections in Spain

Guerrero-Solé¹,

Pujadas

Aira

et al. 2022

MEDCOM

View full text Add to dashboard Cite

Politicized celebrities may assume the role of leaders to counter politicians’ monopoly of political representation and to bring social awareness to specific causes (Street, 2004; Wheeler, 2013). This paper analyzes the impact of politicized celebrities in Twitter among politicized and non-politicized audiences. We focus on the case of the Catalan singer Rosalia, who published a short explicit tweet against the Spanish far-right populist party Vox with the text ‘Fuck vox’ the day after the Spanish general elections in November 2019. We measure the political preferences and activity of Rosalia’s followers, Fuck vox post’s retweeters, and users who retweeted the singer before and after the tweet. The results show that Rosalia had a great impact among left-wing and Catalan separatist parties, and among those users with no political preferences or political activity. In addition, we found that Rosalia’s followers were less likely to be politically active (Loader, Vromen & Xenos, 2016). This study sheds light on the potential of politicized celebrities to mobilize their non-politicized audiences to counter far-right movements in social networks.

show abstract

Votes on Twitter: Assessing Candidate Preferences and Topics of Discussion During the 2016 U.S. Presidential Election

Cited by 10 publications

References 24 publications

Analysis of Geotagging Behavior: Do Geotagged Users Represent the Twitter Population?

Analysis of Geotagging Behavior: Do Geotagged Users Represent the Twitter Population?

Social Media Political Campaign in District Hyderabad, Sindh, Pakistan

Politicized celebrities against far-right on Twitter. Political preferences and activity of users retweeting Rosalia’s anti Vox tweet after the 2019 general elections in Spain

Contact Info

Product

Resources

About