Twitter publics: how online political communities signaled electoral outcomes in the 2010 US house election

McKelvey, Karissa; DiGrazia, Joseph; Rojas, Fabio

doi:10.1080/1369118x.2014.892149

Cited by 54 publications

(41 citation statements)

References 17 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Some of them have turned to one or multi-step snowball sampling approaches (for example, Bastos et al, 2013), while others have opted for random sampling or systematic sampling approaches (Kiousis et al, 2014;McKelvey et al, 2014;Theocharis et al, 2015). In the case of this study, the previous defined three-step approach was selected to capture potential interactions between two or more #ggi tweeters as well as possible patterns of retweeted #ggi content.…”

Section: Methodsmentioning

confidence: 99%

Political protest 2.0: Social media and the 2012 student strike in the province of Quebec, Canada

2016

View full text Add to dashboard Cite

show abstract

Section: Methodsmentioning

confidence: 99%

Political protest 2.0: Social media and the 2012 student strike in the province of Quebec, Canada

2016

View full text Add to dashboard Cite

show abstract

“…Tumasjan et al (2010) find that the number of tweets from the general public mentioning a political party or politician is a valid indicator of political sentiment and a good predictor of federal election results in Germany. More recently, similar results have been found for federal elections in Australia and the U.S. House of Representatives [Unankard et al (2014), McKelvey, DiGrazia and Rojas (2014)]. In contrast to these previous works, we rely only on the link relations, so-called "meta-data," among politicians to measure influence and identify conversation flows with network analysis.…”

mentioning

confidence: 73%

Analysis of multiview legislative networks with structured matrix factorization: Does Twitter influence translate to the real world?

Mankad

Michailidis²

2015

Ann. Appl. Stat.

View full text Add to dashboard Cite

The rise of social media platforms has fundamentally altered the public discourse by providing easy to use and ubiquitous forums for the exchange of ideas and opinions. Elected officials often use such platforms for communication with the broader public to disseminate information and engage with their constituencies and other public officials. In this work, we investigate whether Twitter conversations between legislators reveal their real-world position and influence by analyzing multiple Twitter networks that feature different types of link relations between the Members of Parliament (MPs) in the United Kingdom and an identical data set for politicians within Ireland. We develop and apply a matrix factorization technique that allows the analyst to emphasize nodes with contextual local network structures by specifying network statistics that guide the factorization solution. Leveraging only link relation data, we find that important politicians in Twitter networks are associated with real-world leadership positions, and that rankings from the proposed method are correlated with the number of future media headlines.

show abstract

“…On the other hand, large-scale datasets offer a unique opportunity to examine social phenomena at a scale that previously was not possible. Twitter data have been used to understand and predict voting trends in political elections (McKelvey, DiGrazia, & Rojas, 2014), and to predict key topics of discussion in politics (Rill, Reinel, Scheidt, & Zicari, 2014). In these examples, the scale was necessary to enhance the predictive power and validity of the data.…”

Section: Questions Of Size and Timementioning

confidence: 99%

Web 25: histories from the first 25 years of the World Wide Web

Brügger¹,

Locatelli²,

Weber³

et al. 2017

Researchers, Practitioners and Their Use of the Archived Web

View full text Add to dashboard Cite

If, on the one side, the web offers us a platform where content is searchable and replicable, on the other one, it cannot be forgotten that web content is perishable, unstable and subject to continuous change. This is a challenge for scholarly research about the historical development of web. The research here presented analyzed the historical development of weblogs in Italy investigating their technological, cultural, economic, and institutional dimensions. The approach chosen mixed participant observation, in-depth interviews, and semiotic analysis of blogs and blog posts. Since an important part of the research was about the development of platforms, graphics, layouts, and technology, beside interviews older versions of blogs were retrieved using Internet Wayback Machine. Even if partial versions of the blogs were archived, this part of the research was important to complete data obtained with interviews and blogs' analysis, since individual memory is not always accurate or some blogs were in the meanwhile closed and original posts were not accessible anymore.

show abstract

Twitter publics: how online political communities signaled electoral outcomes in the 2010 US house election

Cited by 54 publications

References 17 publications

Political protest 2.0: Social media and the 2012 student strike in the province of Quebec, Canada

Political protest 2.0: Social media and the 2012 student strike in the province of Quebec, Canada

Analysis of multiview legislative networks with structured matrix factorization: Does Twitter influence translate to the real world?

Web 25: histories from the first 25 years of the World Wide Web

Contact Info

Product

Resources

About