Measuring international relations in social media conversations

This paper examines international relations as perceived by the public in their social media conversations. It examines over 1.8 billion Facebook postings in English and 51 million Chinese posts on Weibo, to reveal the relations among nations as expressed in social media conversations. It argues that social media represent a transnational electronic public sphere, in which public discussions reveal characteristics of international relations as perceived by a foreign public. The findings show that the international relations in social media postings match the core-peripheral structure proposed in the World Systems Theory. Additionally, the relations are associated with the amount of news coverage and public attention a country receives. Overall, the study demonstrates the value of webometric data in revealing how international relations are perceived by average citizens

Understanding Dialogue and Engagement Through Communication Experts’ Use of Interactive Writing to Build Relationships

Dialogic communication is an important public relations theory, yet scholarship has found few organizations using it to its full potential. Meanwhile, multiple overlapping definitions exist for related terms like engagement, interactivity, and responsiveness, causing potential confusion for researchers and professionals. This research reports the results of in-depth interviews with top digital public relations professionals regarding how they use interactive writing, a form of social media engagement, to build relationships. Through their own unprompted words, the research also describes how professionals use terms such as dialogue, engagement, interactivity, and responsiveness, and corresponding definitions, to refer to their daily work. Our model clarifies relationships between similar concepts and recommends areas of future research to advance theory informed by practic

New Media, New Influencers and Implications for Public Relations

Marketers and public relations professionals today are confronted with an astounding array of new communications channels. Internet-based social media tools like blogs, podcasts, online video and social networks are giving voice to the opinions of millions of consumers. While mainstream media continues to play a vital role in the dissemination of information, even these traditional channels are increasingly being influenced by online conversations. The "new influencers" are beginning to tear at the fabric of marketing as it has existed for 100 years, giving rise to a new style of marketing that is characterized by conversation and community. Marketers are responding to these forces with a mixture of excitement, fear and fascination. They're alarmed at the prospect of ceding control of their messages to a community of unknowns. Yet at the same time they're excited about the prospect of leveraging theese same tools to speak directly to their constituents without the involvement of media intermediaries.The Society for New Communications Research set out to conduct an examination of how influence patterns are changing and how communications professionals are addressing those changes by adopting social media. The goals were to discover how organizations:Define new influencers;Communicate and create relationships with them;Use social media to create influence; andMeasure the effects of these efforts.Another goal of the study was to use these discoveries to offer a set of recommendations to professional communicators

Insights from Industry Leaders: A Maturity Model for Strengthening Communication Measurement and Evaluation

Much scholarship has been devoted to identifying barriers that prevent the advancement of communication measurement and evaluation. This research focuses on the characteristics, objectives, and practices of chief communication officers (CCOs) with successful measurement and evaluation programs. Three key dimensions of practice emerged from in-depth interviews: communication executives’ measurement practices and evaluation programs were used to adjust communication strategies; were aligned with other business units; and were integrated with business priority plans. Interviewees also focused on the ability of communication measurement practices and evaluation programs to provide insights for executives, to align communication with the work of other business units, and to connect the organization with the outside environment and stakeholders. This study extends strategic communication scholarship by discussing how overcoming barriers and advancing measurement and evaluation work relates to roles adopted by organizational leaders. This article also offers a preliminary, scalable maturity model that aids in the development, formalization, and optimization of strategic communication measurement and evaluation. This study demonstrates the capacity for communication evaluation to overcome perceived barriers, realize appropriate stature with organizations, and grow communication functions accordingly

A Voice is Worth a Thousand Words: The Implications of the Micro-Coding of Social Signals in Speech for Trust Research

While self-report measures are often highly reliable for field research on trust (Mayer and Davis, 1999), subjects often cannot complete surveys during real time interactions. In contrast, the social signals that are embedded in the non-linguistic elements of conversations can be captured in real time and extracted with the assistance of computer coding. This chapter seeks to understand how computer-coded social signals are related to interpersonal trust

Computational Sociolinguistics: A Survey

Language is a social phenomenon and variation is inherent to its social nature. Recently, there has been a surge of interest within the computational linguistics (CL) community in the social dimension of language. In this article we present a survey of the emerging field of "Computational Sociolinguistics" that reflects this increased interest. We aim to provide a comprehensive overview of CL research on sociolinguistic themes, featuring topics such as the relation between language and social identity, language use in social interaction and multilingual communication. Moreover, we demonstrate the potential for synergy between the research communities involved, by showing how the large-scale data-driven methods that are widely used in CL can complement existing sociolinguistic studies, and how sociolinguistics can inform and challenge the methods and assumptions employed in CL studies. We hope to convey the possible benefits of a closer collaboration between the two communities and conclude with a discussion of open challenges.Comment: To appear in Computational Linguistics. Accepted for publication: 18th February, 201

Mapping networks of influence: tracking Twitter conversations through time and space

The increasing use of social media around global news events, such as the London Olympics in 2012, raises questions for international broadcasters about how to engage with users via social media in order to best achieve their individual missions. Twitter is a highly diverse social network whose conversations are multi-directional involving individual users, political and cultural actors, athletes and a range of media professionals. In so doing, users form networks of influence via their interactions affecting the ways that information is shared about specific global events. This article attempts to understand how networks of influence are formed among Twitter users, and the relative influence of global news media organisations and information providers in the Twittersphere during such global news events. We build an analysis around a set of tweets collected during the 2012 London Olympics. To understand how different users influence the conversations across Twitter, we compare three types of accounts: those belonging to a number of well-known athletes, those belonging to some well-known commentators employed by the BBC, and a number of corporate accounts belonging to the BBC World Service and the official London Twitter account. We look at the data from two perspectives. First, to understand the structure of the social groupings formed among Twitter users, we use a network analysis to model social groupings in the Twittersphere across time and space. Second, to assess the influence of individual tweets, we investigate the ageing factor of tweets, which measures how long users continue to interact with a particular tweet after it is originally posted. We consider what the profile of particular tweets from corporate and athletes’ accounts can tell us about how networks of influence are forged and maintained. We use these analyses to answer the questions: How do different types of accounts help shape the social networks? and, What determines the level and type of influence of a particular account