Linguistic Markers of Influence in Informal Interactions

There has been a long standing interest in understanding `Social Influence' both in Social Sciences and in Computational Linguistics. In this paper, we present a novel approach to study and measure interpersonal influence in daily interactions. Motivated by the basic principles of influence, we attempt to identify indicative linguistic features of the posts in an online knitting community. We present the scheme used to operationalize and label the posts with indicator features. Experiments with the identified features show an improvement in the classification accuracy of influence by 3.15%. Our results illustrate the important correlation between the characteristics of the language and its potential to influence others.Comment: 10 pages, Accepted in NLP+CSS workshop for ACL (Association for Computational Linguistics) 201

Broadcasting to the masses or building communities: Polish political parties online communication during the 2011 election

The professionalisation of political communication is an evolutionary process (Lilleker & Negrine, 2002), a process that adapts to trends in communication in order to better engage and persuade the public. One of the most dramatic developments in communication has been the move towards social communication via the Internet. It is argued to affect every area of public communication, from commercial advertising and public relations to education (Macnamara, 2010). It is no longer sufficient to have an online presence; we are now in an age of i-branding; with the ‘i’ standing for interactive. Yet, trends in online political electoral campaigning over recent years indicate a shallow adoption of Web 2.0 tools, features and platforms; limited interactivity; and managed co-production. The Internet is now embedded as a campaigning tool however, largely, the technologies are adapted to the norms of political communication rather than technologies impacting upon internal organizational structures, party relationships to members and supporters, or the content and style of their communication. We examine these themes, and develop them through a focus on the targeting and networking strategies of political parties, in more detail in the context of the Polish parliamentary election of 2011. Through a sophisticated content analysis and coding scheme our paper examines the extent to which parties use features that are designed to inform, engage, mobilise or allow interaction, which audiences they seek to communicate with and how these fit communication strategies. Comparing these findings with maps built from webcrawler analysis we build a picture of the strategies of the parties and the extent to which this links to short and long term political goals. This paper firstly develops our rationale for studying party and candidate use of the Internet during elections within the Polish context. Secondly we develop a conceptual framework which contrasts the politics as usual thesis (Margolis & Resnick, 2000) with arguments surrounding the social shaping of technologies (Lievrouw, 2006) and the impact on organisational adoption of communication technologies and post-Obama trends in Internet usage (Lilleker & Jackson, 2011) and posit that, despite the threats from an interactive strategy (Stromer-Galley, 2000) one would be expected within the context of a networked society (Van Dyjk, 2006). Following an overview of our methodology and innovative analysis strategy, we present our data which focuses on three key elements. Firstly we focus on the extent to which party and candidate websites inform, engage, mobilise or permit interaction (Lilleker et al, 2011). Secondly we assess the extent to which websites attract different visitor groups (Lilleker & Jackson, 2011) and build communities (Lilleker & Koc-Michalska, 2012). Thirdly we assess the reach strategies of the websites using Webcrawler technology which analyses the use of hyperlinks and whether parties lock themselves within cyberghettoes (Sunstein, 2007) or attempt to harness the power of the network (Benkler, 2006)

Neurorhetoric, Race, and the Law: Toxic Neural Pathways and Healing Alternatives

Neurorhetoric is the study of how rhetoric shapes the human brain. At the forefront of science and communication studies, neurorhetoric challenges many preconceptions about how humans respond to persuasive stimuli. Neurorhetoric can be applied to a multiplicity of relevant legal issues, including the topic of this Maryland Law Review Symposium Issue: race and advocacy. After detailing the neuroscientific and cognitive theories that underlie neurorhetoric, this Essay theorizes ways in which neurorhetoric intersects with the law, advocacy, and race. This Essay explores how toxic racial stereotypes and categories become embedded in the human brain and what can be done about it

Opinion Polarization by Learning from Social Feedback

We explore a new mechanism to explain polarization phenomena in opinion dynamics in which agents evaluate alternative views on the basis of the social feedback obtained on expressing them. High support of the favored opinion in the social environment, is treated as a positive feedback which reinforces the value associated to this opinion. In connected networks of sufficiently high modularity, different groups of agents can form strong convictions of competing opinions. Linking the social feedback process to standard equilibrium concepts we analytically characterize sufficient conditions for the stability of bi-polarization. While previous models have emphasized the polarization effects of deliberative argument-based communication, our model highlights an affective experience-based route to polarization, without assumptions about negative influence or bounded confidence.Comment: Presented at the Social Simulation Conference (Dublin 2017

Reducing Exclusionary Attitudes through Interpersonal Conversation: Evidence from Three Field Experiments

Exclusionary attitudes-prejudice toward outgroups and opposition to policies that promote their well-being-are presenting challenges to democratic societies worldwide. Drawing on insights from psychology, we argue that non-judgmentally exchanging narratives in interpersonal conversations can facilitate durable reductions in exclusionary attitudes. We support this argument with evidence from three pre-registered field experiments targeting exclusionary attitudes toward unauthorized immigrants and transgender people. In these experiments, 230 canvassers conversed with 6,869 voters across 7 US locations. In Experiment 1, face-To-face conversations deploying arguments alone had no effects on voters' exclusionary immigration policy or prejudicial attitudes, but otherwise identical conversations also including the non-judgmental exchange of narratives durably reduced exclusionary attitudes for at least four months (d = 0.08). Experiments 2 and 3, targeting transphobia, replicate these findings and support the scalability of this strategy (ds = 0.08, 0.04). Non-judgmentally exchanging narratives can help overcome the resistance to persuasion often encountered in discussions of these contentious topics

Designing persuasive third party applications for social networking services based on the 3D-RAB model

The use of social networks services for promoting business, teaching, learning, persuasion and spread of information continues to attract attention as most social networking services (SNSs) now allow third party applications to operate on their sites. In the field of persuasive technology, the ability of SNSs to build relationships among their users and create momentum and enthusiasm through rapid cycles also give it a greater advantage over other persuasive technology approaches. In this paper we discuss the 3-dimensional relationship between attitude and behavior (3D-RAB) model, and demonstrate how it can be used in designing third-party persuasive applications in SNSs by considering external factors which affects persuasive strategies

Collaboration or competition: The impact of incentive types on urban cycling

Bicycling is an important mode of transport for cities and many cities are interested in promoting its uptake by a larger portion of the population. Several cycling mobile applications primarily rely on competition as a motivation strategy for urban cyclists. Yet, collaboration may be equally useful to motivate and engage cyclists. The present research reports on an experiment comparing the impact of collaboration-based and competition-based rewards on users’ enjoyment, satisfaction, engagement with, and intention to cycle. It involved a total of 57 participants in three European cities: Münster (Germany), Castelló (Spain), and Valletta (Malta). Our results show participants from the study reporting higher enjoyment and engagement with cycling in the collaboration condition. However, we did not find a significant impact on the participants’ worldview when it comes to the intentions to start or increase cycling behavior. The results support the use of collaboration-based rewards in the design of game-based applications to promote urban cycling