Microblogging

About: Microblogging is a research topic. Over the lifetime, 4186 publications have been published within this topic receiving 137030 citations. The topic is also known as: microblog.

Hybrid media consumption: how tweeting during a televised political debate influences the vote decision

Abstract: An increasing number of people are using microblogs to broadcast their thoughts in real time as they watch televised political events. Microblogging social network sites (SNSs) such as Twitter generate a parallel stream of information and opinion. It is presumed that the additional content enhances the viewing experience, but our experiment explores the validity of this assumption. We studied how tweeting, or passively observing Twitter during a debate, influenced affect, recall and vote decision. For most measures, participants' average feeling and recall toward the candidates did not depend on Twitter activity, but Twitter activity did matter for vote choice. People who actively tweeted changed their voting choice to reflect the majority sentiment on Twitter. Results are discussed in terms of the possibility that active tweeting leads to greater engagement but that it may also make people more susceptible to social influence.

The special case of Switzerland: Swiss politicians on Twitter:

Abstract: We analyse the use of Twitter in political communication in Switzerland because, in comparison with other democracies, Switzerland with its strong federalism, fragmented party system, small country size and semi-professional politicians can be seen as the least-likely critical case, thus creating unique conditions for the use of social media. The study investigates the individual characteristics of Swiss Members of Parliament that could influence social media usage. Thus, the study contributes to the debate about equalization and normalization with respect to Twitter as a relevant microblogging channel for political communication and to the significance of country-specific conditions for the adoption of innovations in political online communication. The study explains the shift from equalization towards normalization with the diffusion of innovations theory.

Automatic classification of software related microblogs

Abstract: Millions of people, including those in the software engineering communities have turned to microblogging services, such as Twitter, as a means to quickly disseminate information. A number of past studies by Treude et al., Storey, and Yuan et al. have shown that a wealth of interesting information is stored in these microblogs. However, microblogs also contain a large amount of noisy content that are less relevant to software developers in engineering software systems. In this work, we perform a preliminary study to investigate the feasibility of automatic classification of microblogs into two categories: relevant and irrelevant to engineering software systems. We extract features from the textual content of the microblogs and the titles of any URLs mentioned in the microblogs. These features are then used to learn a discriminative model used in classifying relevant and irrelevant microblogs. We show that our trained model can achieve a promising classification performance.

Institutional vs. Non-institutional use of Social Media during Emergency Response: A Case of Twitter in 2014 Australian Bush Fire

Abstract: Social media plays a significant role in rapid propagation of information when disasters occur. Among the four phases of disaster management life cycle: prevention, preparedness, response, and recovery, this paper focuses on the use of social media during the response phase. It empirically examines the use of microblogging platforms by Emergency Response Organisations (EROs) during extreme natural events, and distinguishes the use of Twitter by EROs from digital volunteers during a fire hazard occurred in Australia state of Victoria in early February 2014. We analysed 7982 tweets on this event. While traditionally theories such as World System Theory and Institutional Theory focus on the role of powerful institutional information outlets, we found that platforms like Twitter challenge such notion by sharing the power between large institutional (e.g. EROs) and smaller non-institutional players (e.g. digital volunteers) in the dissemination of disaster information. Our results highlight that both large EROs and individual digital volunteers proactively used Twitter to disseminate and distribute fire related information. We also found that the contents of tweets were more informative than directive, and that while the total number of messages posted by top EROs was higher than the non-institutional ones, non-institutions presented a greater number of retweets.