Communicating Party Labels and Names on Twitter During the 2016 Presidential Invisible Primary and Primary Campaigns

This study investigated the use of party and ideological labels and candidate names in major party candidate tweets (N?=?94,310) during the 2016 presidential preprimary and primary campaigns to understand the extent to which candidates focused on intraparty and interparty themes as a part of their marketing strategies. The results show that the candidates and their campaigns did not engage in heavy partisan labeling to cultivate their social media identities. Outsider candidates were not more likely to use party or ideological labels in their tweets than insider candidates were. The candidates focused on self-advocacy in their tweets.     

Social Bots in Election Campaigns: Theoretical,Empirical, and Methodological Implications

Social bots mimic and potentially manipulate humans and their behaviours in social networks. The public sphere might be especially vulnerable to their impacts, which is why we first discuss their potential influence on the public sphere from a theoretical perspective. From an empirical perspective, we analyzed Twitter followers of seven German parties before (N = 638,674) and during (N = 838,026) the 2017 electoral campaigns regarding bot prevalence and activities. The results revealed that the share of social bots increased from 7.1% before to 9.9% during the election campaigns. The percentage of active social bots remained roughly the same. An analysis of the content distributed by both the most popular and the most active bots showed that they disseminate few political hashtags, and that almost none referred to German politics. We discuss the results against the background of normative traditions of public sphere theories and address the methodological challenges bots pose in political communication.     

Microblogging,Constituency Service and Impression Management: UK MPs and the Use of Twitter

Twitter, a microblogging site which allows users to deliver statements, thoughts and links in 140 characters to followers as well as a wider Internet audience, is the latest online communications technology adopted by MPs. Assessing the use by early adopters, this article considers which MPs are most likely to use Twitter (for example, tweeting), and how. Content analysis of MPs' Twitter feeds was conducted, and personal and political characteristics identified which may influence use. The data suggested that of the six characteristics tested, gender, party and seniority had most impact on adoption. Applying Jones and Pittman's 1982 typology, there is clear evidence that MPs use Twitter as a tool of impression management. Constituency service is a secondary function of the use of Twitter by MPs. Where MPs use Twitter as part of their constituency role it is to promote their local activity. This article notes that a small group of MPs use Twitter as a regular communication channel, but most are only occasionally dipping their toe into the microbloggersphere.     

Tweets That Matter: Evidence From a Randomized Field Experiment in Japan

Although election campaigns are increasingly utilizing social media, only a few studies have investigated their effects experimentally. To fill this gap in the literature, we conducted a field experiment to examine the effects of a campaign that used Twitter during the 2013 House of Councillors election in Japan. The treatment was exposure to tweets from Tōru Hashimoto, the mayor of Osaka and co-leader of the Japan Restoration Party, who has the largest number of Twitter followers among Japanese politicians. Participants assigned to the treatment group followed Hashimoto and the two placebos, whereas those assigned to the control condition followed only the two placebos. They followed the politicians continuously for approximately one month. Pre- and posttreatment measures were collected using online surveys, and treatment compliance was continuously checked via Twitter application programming interface (API). Following Hashimoto on Twitter during the election campaign had a positive impact on feelings toward Hashimoto. This effect was not mediated by issue knowledge or the evaluation of Hashimoto’s personal traits, and no effects were observed on voting. These findings suggest that repeated exposure to a politician’s messages on Twitter may only result in a mere exposure effect, which nevertheless generates favorable overall attitudes about the politician.     

微博的传播形态与本土化发展

本文阐释了微博的核心意义与传播形态,并根据国内微博的总体演变,对目前国内微博的风靡原因、发展现状进行了分析研究,论述了微博本土化发展过程中的尴尬处境及其对策与前景.     

Twitter thou doeth?

Twitter, which started as a micro-blogging website, is the third most popular social network next to Facebook and My Space. Twitter is increasingly becoming primary means of communication among individuals and businesses. It is now being used in courts for issuing injunctions. However, Twitter “tweets” are also potential litigation minefield for lawyers, businesses and employers. As a social-networking tool, the use of Twitter can raise a variety of legal issues such as the right of publicity, breach of confidentiality, privacy infringement, fraud trademark infringement, copyright infringement, reverse username hijacking, among others.     

Male and female politicians on Twitter: A machine learning approach

How does the language of male and female politicians differ when they communicate directly with the public on social media? Do citizens address them differently? We apply Lasso logistic regression models to identify the linguistic features that most differentiate the language used by or addressed to male and female Spanish politicians. Male politicians use more words related to politics, sports, ideology and infrastructure, while female politicians talk about gender and social affairs. The choice of emojis varies greatly across genders. In a novel analysis of tweets written by citizens, we find evidence of gender-specific insults, and note that mentions of physical appearance and infantilising words are disproportionately found in text addressed to female politicians. The results suggest that politicians conform to gender stereotypes online and reveal ways in which citizens treat politicians differently depending on their gender.     

Networked Co-Production of 311 Services: Investigating the Use of Twitter in Five U.S. Cities

Prior studies highlighted the importance of adopting new technologies to co-produce 311 services, yet they failed to provide empirical evidence of the implementation. Taking Twitter as an example, the present study aims to fill the gap by examining the characteristics of actors in five 311 Twitter networks and the relationship between government 311 Twitter accounts and followers. The results demonstrate multiple-group engagement yet low level of connections within a network, with varying response rates of Twitter requests among all five networks. The overall limited Twitter use in 311 systems calls for shared best practices and efficient account promotion efforts.     

(Re)Claiming Our Expertise: Parsing Large Text Corpora With Manually Validated and Organic Dictionaries

Content analysis of large-scale textual data sets poses myriad problems, particularly when researchers seek to analyze content that is both theoretically derived and context dependent. In this piece, we detail the approach we developed to tackle the analysis of the context-dependent content of political incivility. After describing our manually validated organic dictionaries approach, we compare the method to others we could have used and then replicate the method in a different—but still context-dependent—project examining political issue content on social media. We conclude by summarizing the strengths and weaknesses of the approach and offering suggestions for future research that can refine and expand the method.