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.

Social Media in Disaster Response:Queensland Police Service - Public Engagement During the 2011 Floods

Abstract: Social Media, particularly Microblogging services, are now being adopted as an additional tool for emergency service agencies to be able to interact with the community at all stages of a disaster. Unfortunately, no standard framework for Social Media adoption for disaster management exists and emergency service agencies are adopting Social Media in an ad-hoc fashion. This paper seeks to provide a general understanding of how Social Media is being used by emergency service agencies during disasters, to better understand how we might develop a standardised framework of adoption. In this study of the 2010/11 Queensland Flood event, Facebook broadcast messages from the Queensland Police Service to the general public, were analysed by genre. Findings show that these Microblogging activities were mostly about information distribution and warning broadcasts and that the strength of Social Media for two-way communication and collaboration with the general public, was under-utilised during this event.

Astrophysicists on Twitter : An in-depth analysis of tweeting and scientific publication behavior

Abstract: Purpose – The purpose of this paper is to analyze the tweeting behavior of 37 astrophysicists on Twitter and compares their tweeting behavior with their publication behavior and citation impact to show whether they tweet research-related topics or not. Design/methodology/approach – Astrophysicists on Twitter are selected to compare their tweets with their publications from Web of Science. Different user groups are identified based on tweeting and publication frequency. Findings – A moderate negative correlation (ρ=−0.339) is found between the number of publications and tweets per day, while retweet and citation rates do not correlate. The similarity between tweets and abstracts is very low (cos=0.081). User groups show different tweeting behavior such as retweeting and including hashtags, usernames and URLs. Research limitations/implications – The study is limited in terms of the small set of astrophysicists. Results are not necessarily representative of the entire astrophysicist community on Twitter and ...

Comparing Information Diffusion Structure in Weblogs and Microblogs.

Abstract: To better understand and characterize the emerging social medium of microblogging we conducted a comparison between Twitter and a weblog network for their respective information diffusion structures. We found systematic differences between the two social media in their contribution, navigation, and interactive structural patterns. Findings revealed the unique role and characteristics of microblogs in the social media design space. Implications are discussed.

How the larger corporations engage with stakeholders through Twitter.

Abstract: The digital era has revolutionised the traditional communication assumptions that we learned during past decades. Social media constitute the new communication challenge. Twitter has recently passed 517 million users. This study examines how some of the largest companies are making use of this popular microblogging site to engage with their stakeholders. Using content analysis, we coded 5,352 tweets. We analysed the tweet frequency, the followers and followings, friending behaviour, the retweets and public messages, and the use that companies are making of different communication tools provided by Twitter to augment the information shared on their tweets. The study found that corporations are not effectively employing the full interactivity potential this site offers to build mutually beneficial relationships with stakeholders. These findings call attention to some key interactivity features that organisations are failing to utilise.

Twitter-based Election Prediction in the Developing World

Abstract: Elections are the main instrument of democracy. Citizens decide which entity or entities (a political party or a particular politician) should represent them. Traditionally, pre-election polls have been used to learn about trends and likely election outcomes. Predicting an election outcome based on user activity on Twitter has been shown to be a cheap alternative. While past research has focused on election prediction in the developed world (where its use is debatable), in this paper we provide a comprehensive argument for the use of Twitter-based election forecasting in the developing world. For our use case of Indonesia's presidential elections 2014, the most basic Twitter-predictor outperforms the majority of traditional polls, while the best performing predictor outperforms all traditional polls on the national level.