Sensemaking on the Pragmatic Web: A Hypermedia Discourse Perspective

The complexity of the dilemmas we face on an organizational, societal and global scale forces us into sensemaking activity. We need tools for expressing and contesting perspectives flexible enough for real time use in meetings, structured enough to help manage longer term memory, and powerful enough to filter the complexity of extended deliberation and debate on an organizational or global scale. This has been the motivation for a programme of basic and applied action research into Hypermedia Discourse, which draws on research in hypertext, information visualization, argumentation, modelling, and meeting facilitation. This paper proposes that this strand of work shares a key principle behind the Pragmatic Web concept, namely, the need to take seriously diverse perspectives and the processes of meaning negotiation. Moreover, it is argued that the hypermedia discourse tools described instantiate this principle in practical tools which permit end-user control over modelling approaches in the absence of consensus

Emotional Attachment and Its Limits: Mengzi, Gaozi and the Guodian Discussions

Mengzi maintained that both benevolence (ren 仁) and rightness (yi 義) are naturally-given in human nature. This view has occupied a dominant place in Confucian intellectual history. In Mencius 6A, Mengzi's interlocutor, Gaozi, contests this view, arguing that rightness is determined by (doing what is fitting, in line with) external circumstances. I discuss here some passages from the excavated Guodian texts, which lend weight to Gaozi's view. The texts reveal nuanced considerations of relational proximity and its limits, setting up requirements for moral action in scenarios where relational ties do not play a motivational role. I set out yi's complexity in these discussions, highlighting its implications for (i) the nei-wai debate; (ii) the notion of yi as "rightness," or doing the right thing; and (iii) how we can understand the connection between virtue and right action in these early Confucian debates. This material from the excavated texts not only provides new perspectives on a longstanding investigation of human nature and morality, it also challenges prevailing views on Warring States Confucian intellectual history. In the well-known debate between Mengzi and Gaozi in Mencius 6A, Mengzi maintained that both ren and yi are naturally-given 1 in human nature. The figure 1 To say that ren and yi are naturally-given is not to say that they are fully-developed from the start. I use the phrase "naturally-given" throughout the paper to indicate where a particular capacity or resource (ren or yi) may be found, rather than its final polished state

Computational Controversy

Climate change, vaccination, abortion, Trump: Many topics are surrounded by fierce controversies. The nature of such heated debates and their elements have been studied extensively in the social science literature. More recently, various computational approaches to controversy analysis have appeared, using new data sources such as Wikipedia, which help us now better understand these phenomena. However, compared to what social sciences have discovered about such debates, the existing computational approaches mostly focus on just a few of the many important aspects around the concept of controversies. In order to link the two strands, we provide and evaluate here a controversy model that is both, rooted in the findings of the social science literature and at the same time strongly linked to computational methods. We show how this model can lead to computational controversy analytics that have full coverage over all the crucial aspects that make up a controversy.Comment: In Proceedings of the 9th International Conference on Social Informatics (SocInfo) 201

Connotation Frames: A Data-Driven Investigation

Through a particular choice of a predicate (e.g., "x violated y"), a writer can subtly connote a range of implied sentiments and presupposed facts about the entities x and y: (1) writer's perspective: projecting x as an "antagonist"and y as a "victim", (2) entities' perspective: y probably dislikes x, (3) effect: something bad happened to y, (4) value: y is something valuable, and (5) mental state: y is distressed by the event. We introduce connotation frames as a representation formalism to organize these rich dimensions of connotation using typed relations. First, we investigate the feasibility of obtaining connotative labels through crowdsourcing experiments. We then present models for predicting the connotation frames of verb predicates based on their distributional word representations and the interplay between different types of connotative relations. Empirical results confirm that connotation frames can be induced from various data sources that reflect how people use language and give rise to the connotative meanings. We conclude with analytical results that show the potential use of connotation frames for analyzing subtle biases in online news media.Comment: 11 pages, published in Proceedings of ACL 201

Integrating Manual and Automatic Annotation for the Creation of Discourse Network Data Sets

This article investigates the integration of machine learning in the political claim annotation workflow with the goal to partially automate the annotation and analysis of large text corpora. It introduces the MARDY annotation environment and presents results from an experiment in which the annotation quality of annotators with and without machine learning based annotation support is compared. The design and setting aim to measure and evaluate: a) annotation speed; b) annotation quality; and c) applicability to the use case of discourse network generation. While the results indicate only slight increases in terms of annotation speed, the authors find a moderate boost in annotation quality. Additionally, with the help of manual annotation of the actors and filtering out of the false positives, the machine learning based annotation suggestions allow the authors to fully recover the core network of the discourse as extracted from the articles annotated during the experiment. This is due to the redundancy which is naturally present in the annotated texts. Thus, assuming a research focus not on the complete network but the network core, an AI-based annotation can provide reliable information about discourse networks with much less human intervention than compared to the traditional manual approach

Creating virtual communities of practice for learning technology in higher education: Issues, challenges and experiences

The need for a Web portal to support the rapidly growing field of learning technology has been well established through a number of national surveys and scoping studies over recent years. The overarching vision has been the provision of a virtual environment to assist in informing and developing professional practice in the use of learning technologies. This paper outlines the issues and challenges in creating such a portal through the experiences of developing the RESULTs Network. In the paper, design and participation issues are considered within the wider context of online and networked approaches to supporting practice and professional development. User participation methodologies and technical developments for RESULTs are described in relation to a review of existing representations of practice and a comprehensive survey amongst the learning technology users’ community. An outline of key achievements and experiences is presented, followed by some conclusions regarding the cultural and political issues in creating a viable and sustainable facility and suggestions for possible future direction in national provision

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

Women’s leadership as narrative practice: identifying ‘tent making’, ‘dancing’ and ‘orchestrating’ in UK Early Years Services

Purpose – The paper discusses the “narrative practices” utilised by women leading in a small sample of Early Years services in the North East of England. These Early Years settings are presented as an alternative site for studying women's experiences of leadership. It examines the way in which these women use narrative strategies and approaches to work in collaborative, community based services for young children and their families. Design/methodology/approach – The study is drawn from a larger study into narratives of professional identity and their relation to interactional contexts. The study follows an interpretive paradigm, and used narrative and participative methodology and methods to work with a small number of participants purposively sampled from cohorts of the National Professional Qualification in Integrated Centre Leadership (NPQICL). Participants were involved in reflective conversations about their leadership supported by interactive, visual methods in five extended sessions over the course of twelve months. Data from the larger study which related to the theme of “narrative practices” was subsequently coded and interpreted to inform this study. Findings – Data coded as “narrative practices” led to the establishment of three high level categories of narrative practice found in the study. These are summarised in the metaphors of “tent making” (creating and using symbolic and narrative space with others), “skilled dancing” (improvising, and remembering with others) and “orchestration” (reflexive attuning). Data suggests that women involved in the study drew on their experience and values to develop sophisticated narrative practices that were particularly adaptive, ethically sensitive and sustainable – often in spite of “official” masculine leadership cultures. Research limitations/implications – This specific study only draws on narrative accounts of three women leaders in Early Years services and as such is not intended to generate generalizable theory. The intention of the study is to conceptualise women's leadership as narrative practice, and in so doing to direct further study into these practices as aspects of effective leadership. Practical implications – The study develops new ways of conceptualising and interpreting women's leadership practices and opens up opportunities for further study in this field. Access to this material also provides individuals (including women leading in UK Early Years services) and opportunity for reflection on their own leadership practice. Originality/value – This study is unique in using a form of highly participative, reflective methodology to consider women's use of narrative in leadership interactions in the UK Early Years sector. The study is the first in this sector to look at this specific topic using aspects of Ricoeur's (1984) narrative hermeneutics and in so doing generates new questions about women's narrative practices