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While all companies hope to create a positive organizational culture, many of the most effective use corporate narratives to communicate company values. The purpose of this article is to identify common techniques used in these organizations and develop a framework for leaders wishing to employ this method.

This article draws heavily on personal interviews conducted with individuals in organizations identified as having effective methods of corporate storytelling. The interview participants ranged from CEOs and other executives to rank‐and‐file employees. In addition, this article conducts a review of relevant literature on the subject and distills a set of key components of effective corporate storytelling.

This article identifies four distinct characteristics of effective corporate storytelling: purpose, allusion, people, and appeal. Narratives which are told with a particular purpose in mind, which allude to a company's history and role in the market, which are told by the right person to the proper audience, and which contain an inspiring emotional appeal are far more likely to impact corporate culture and employee behavior than those which fall short on any one of these categories.

This article outlines a simple and straightforward framework for corporate storytelling. For both business leaders hoping to use a narrative to enhance or change a company's culture and for those studying effective leadership techniques, this article offers new insights from successful corporate storytellers distilled from personal interviews as well as key ideas from a wide array of existing literature.

This paper seeks to outline a social epistemological and ethical warrant for engaging in knowledge exchange on the social web, and to emphasise socio‐cognitive and emotional factors behind motivation and credibility in communities supported by social software. An attempt is made to identify positive and negative patterns of interaction from this perspective and to argue for more positive intervention on the part of the information profession.

The paper outlines social epistemological and related theory, cognitive and social drivers of behaviour and then draws together evidence to justify the definition of patterns that will be important to the project.

A programme of evaluating online knowledge exchange behaviour using a social epistemological framework is needed. In order to do this, methodological development coupling formal epistemological with interpretive techniques for examining belief formation are also necessary.

Considerations for the design and deployment of knowledge platforms and for engagement with existing communities are outlined.

The ideas presented attempt to define an important role for the information profession within a new paradigm of participation and social interaction online.

The connection between social epistemology theory and LIS has long been appreciated, but social epistemology is rarely applied to practice or to online social platforms and communities.

The purpose of this paper is to investigate longitudinal features of an established social question-answering (Q&A) site to study how question-answer resources and other community features change over time.

Statistical analysis and visualisation was performed on the full data dump from the Stack Overflow social Q&A site for programmers.

The timing of answers is as strong a predictor of acceptance – a proxy for user satisfaction – as the structural features of provided answers sometimes associated with quality. While many questions and answer exchanges are short-lived, there is a small yet interesting subset of questions where new answers receive community approval and which may end up being ranked more highly than early answers.

As a large-scale data oriented research study, this work says little about user motivations to find and contribute new knowledge to old questions or about the impact of the resource on the consumer. This will require complementary studies using qualitative and evaluative methods.

While content contribution to social question-asking is largely undertaken within a very short time frame, content consumption is usually over far longer periods. Methods and incentives by which content can be updated and maintained need to be considered. This work should be of interest to knowledge exchange community designers and managers.

Few studies have looked at temporal patterns in social Q&A and how time and the moderation and voting systems employed may shape resource quality.

Online social networks are increasingly important venues for businesses to promote their products and image. However, information propagation in online social networks is significantly more complicated compared to traditional transmission media such as newspaper, radio, and television. In this chapter, we will discuss research on modeling and forecasting diffusion of virally marketed content in social networks. Important aspects include the content and its presentation, the network topology, and transmission dynamics. Theoretical models, algorithms, and case studies of viral marketing will be explored.

The purpose of this paper is to examine the use of weblogs by political parties in the 2005 general election campaign. It seeks to identify why, why not, and how parties used their weblogs during the election campaign.

The weblogs of the five political parties which had a weblog were assessed, and eight party e‐campaigners were interviewed.

The findings contrast with those of studies of the 2004 US presidential campaign where blogs appeared to play a significant campaigning role. Rather, in the UK, party blogs were essentially used as one‐way communication channels which added colour to party web sites. As a result, such weblogs may have encouraged visitors to return because of some form of voyeurism, but they were not either effective conversational, campaigning, or promotional tools.

The paper is based on a UK general election of an experimental political communication channel.

Suggests the key elements required for the effective use of weblogs. Also suggests that individual candidate weblogs may be a more appropriate channel to reach electors than party‐controlled weblogs. The motivation for using a weblog seems to be essentially a judgement that it might be worthwhile experimenting with one. However, until there is significant evidence that weblogs can have a tangible effect, it is likely that they will remain merely part of the background to a UK general election campaign.

The paper provides a means of judging the value of weblogs within political communication by political actors.

The prediction of pre-election polls is an issue of concern for both politicians and voters. The Taiwan nine-in-one election held in 2014 ended with jaw-dropping results; apparently, traditional polls did not work well. As a remedy to this problem, the purpose of this paper is to utilize the comments posted on social media to analyze civilians’ views on the two candidates for mayor of Taichung City, Chih-chiang Hu, and Chia-Lung Lin.

After conducting word segmentation and part-of-speech tagging for the collected reviews, this study constructs the opinion phrase extraction rules for identifying the opinion words associated with the attribute words. Next, this study classifies the attribute words into six municipal governance-related topics and calculates the opinion scores for each candidate. Finally, this study uses correspondence analysis to transform opinion information on the candidates into a graphical display to facilitate the interpretation of voters’ views.

The results show that the topics of candidates’ backgrounds and transport infrastructure were the two most critical factors for the election prediction. Based on the predication, Lin outscores Hu by 17.74 percent which is close to the real election results.

This study proposes new rules for the extraction of Chinese opinion words associated with attribute words.

This study applies Chinese semantic analysis to assist in predicting election results and investigating the topics of concern to voters.

The proposed opinion phrase extraction rules for Chinese social media, as well as the election forecast process, can provide valuable references for political parties and candidates to plan better nomination and election strategies.